This PDF file contains the front matter associated with SPIE Proceedings Volume 12500, including the Title Page, Copyright information, Table of Contents, and Conference Committee Page.

Wind-induced deflection of overhead transmission line is a phenomenon of conductor non-synchronous swing caused by strong wind. Serious wind deflection will cause flashover and lead to line trip. It is of great significance to strengthen the monitoring of wind deflection of transmission line insulator. For transmission lines located in cold and strong wind areas, due to the need for on-site power supply, the long-term operation reliability of monitoring devices in low temperature environment is difficult to ensure. The monitoring scheme based on Fiber Bragg grating technology has the advantages of no on-site power supply, anti-electromagnetic interference and good insulation performance. It has a good application prospect in wind deflection monitoring of transmission lines in cold areas. This paper analyzes the characteristics of wind load, the causes of wind deflection of transmission line, and introduces the basic principle of measuring insulator inclination when using fiber Bragg grating sensor, which provides technical support for wind deflection monitoring of transmission line in cold areas and ensures the structural safety, safe and stable operation of transmission line.

In order to improve the sustainable competitive advantage of electric power engineering enterprises under the severe global economic situation, the enhancement of enterprise dynamic capabilities has become an important issue facing electric power engineering enterprises. In this paper, we adopt structural equation modeling to conduct an in-depth study on issues related to dynamic capabilities of electric power engineering enterprises, deconstruct dynamic capabilities into dual capabilities of opportunity exploration and opportunity development, and divide them into five capability dimensions of environment perception, resource integration, network relationship, organizational learning and organizational flexibility, set up questionnaires and conduct industry data analysis. This study can provide a basis for the theoretical study of dual dynamic capabilities of electric power engineering enterprises, and at the same time help various international electric power engineering enterprises to combine different market demands and internal and external influencing factors such as their own development status in the actual process, clarify the direction of enterprise dynamic capabilities improvement and adjust the content of enterprise dynamic capabilities construction, so as to enhance the sustainable competitive advantage of enterprises.

In order to systematically sort out the weaknesses in power grid operation safety management and lay a solid foundation for the improvement of operation safety management level, based on the “Guiding Opinions of the Office of the State Grid Safety Commission on Promoting the ‘Four Controls’ Work” and the research situation, put forward the management status of power grid operation safety evaluation can be divided into plan control, personnel control, team control and site control. Based on this, an evaluation index system was constructed, and a survey of a provincial power grid company was carried out using the method of questionnaire analysis. The results show that the evaluation results of this evaluation method can effectively evaluate the current situation of power grid operation safety management and sort out the weak links of management.

As a flexible resource, energy storage plays a role in promoting the absorption of new energy and the safe and stable operation of power system. However, limited by the cost of energy storage investment, it is difficult to rely on large-scale energy storage to meet the flexibility requirements of the system. In order to solve the problem of electric/thermal energy storage configuration of integrated energy, a method of electric/thermal energy storage configuration of regional integrated energy system with wind power access was proposed. Firstly, the dynamic neural network prediction model for wind power prediction is constructed to effectively predict the wind farm output in the regional integrated energy system. Then, the charging and discharging behavior of electric/thermal energy storage in regional integrated energy system is analyzed, the relationship between electric and thermal storage and regional wind farm power is established, and the electric/thermal coupling relationship is considered to form a joint optimal configuration model of electric/thermal energy storage.

In recent years, a number of UHV AC and DC power grids have been put into operation. The mechanical properties of large-tonnage disk-type suspended insulators for UHV lines are of great significance to the safe operation of the lines. In this paper, the operation performance of large tonnage disc suspension insulators in UHV ac and DC was evaluated by field sampling and mechanical properties test. The results of sampling test show that the mechanical properties of disc-shaped suspension insulators decrease to a certain extent during large tonnage transportation, which meets the operation requirements on the whole.

Under the framework of constructing a new power system with new energy as the main body, the functional form of power grid will be transformed into "wide-area collaborative support and local supply-demand matching". Micro-grids, as an important form of optimizing the allocation of energy resources in local areas, are of great significance to the nearby utilization and efficient management of distributed new energy and the continuous promotion of supply-side reform. By utilizing the solar energy resources in Tibet, the micro-grid of GX industrial park in Tibet is designed, and the operation mode and control strategy are studied. A set of replicable and extendable application mode of micro-grid in Tibet Industrial Park is put forward.

At present, electric power resources have become the important energy for social development and people's daily life, and also the basic energy for maintaining the harmonious and stable development of society. As the key structure of the power system, the power grid carries the vital tasks of power transmission and power supply. Therefore, in the transformation process of the traditional power grid, the power marketing needs to make targeted reform measures to ensure the normal operation of the power system and realize the upgrading and progress of the power marketing service. With the above content as the background, this paper explains the reform measures that electric power marketing needs to make in the process of power grid transformation, summarizes relevant experience, and puts forward key points for attention, hoping to provide a reasonable reference for workers in the same field.

The combination of photovoltaics and agriculture is meaningful for the development of solar energy and saves land resources. This paper makes a systematic analysis of the first phase construction scheme of Taizhou 20 MW agrophotovoltaic power generation project. The photovoltaic station is built over a landfill and fish ponds. The power station is designed by analyzing the photovoltaic module type, operation mode, module array, power generation capacity, and financial issues. Generally, polysilicon photovoltaic modules with a capacity of 310 Wp are selected. The modules are divided into 20 units, and the open circuit voltage formula of the photovoltaic sub-array is 38.1 V. The modules are installed at a fixed inclination of 27°, with the center distance of the front and rear row components of 6.5 m. The project is a typical case of complementary agriculture and light, with obvious social and environmental benefits.

Wind power generation is important new energy. The development of wind power is of great significance for the realization of the carbon neutrality goal. This paper makes a detailed design of a 95MW wind power plant in Jiangsu Province, China by analyzing the wind turbine selection, layout design, financial and social impact assessment. The wind resource of the project has a wind power level of level 1. The project is designed to install 38 units with a single unit capacity of 2.5 MW and an installed capacity of 95 MW. The annual on-grid electricity is about 19570 MWh. This design scheme has certain profitability and good social and environmental value.

Using the portable emission measurement system, the real-world emission test of typical operating conditions was carried out on six representative offshore fishing vessels in the Beihai area of Guangxi. The operating conditions have a similar effect on the emission factors of CO, THC, and PM: the emission factor under the entry and exit conditions far exceeds the emission factor of the cruise. For example, when fishing boat two (256kW) departs from the port, the emission factors of CO, THC, and PM are 14 times, 11.6 times, and 4.3 times those of cruise condition, while the emission factors of CO, THC and PM are only 1.1 times, 1.4 times and 1.55 times those of the cruise condition when the fishing vessel six (2190kW) enters the port. The smaller the ship power is, the more obvious the difference is; the effect of operating conditions on NOX and CO2 is small. The average emission factor of each component based on fuel consumption of small and medium-sized marine fishing vessels is much higher than that of large ships. The service life of the engine also has an important impact on the emission factor. The longer the service life of the ship, the greater the emission factor of each component.

The wave of the "internet celebrity" era has promoted the development of fill lights, photography lights, etc. To achieve better visual effects and precise lighting adjustments, a PWM-based RGB photography lighting control system with STM32 as the core is designed. The overall hardware platform architecture with the STM32G070 series chip as the core processor is described, and the hardware principle is introduced in detail from a modular perspective, followed by the PWM dimming principle and the software algorithm process. This system is portable across different operating systems, having strong timeliness and low power consumption. It can also communicate with a mobile phone APP through the Bluetooth protocol to achieve remote and accurate digital control of photographic illumination. It can run stably and be successfully applied to the product.

In order to enhance the power consumption capacity of the power grid and improve the frequency adjustment performance of the wind farm, this article studies the "flywheel + lithium power" hybrid energy storage system operation control strategy, adopts the combination method of sliding average filtering and fuzzy control, and reasonably distributes the power of compensation for storage energy. While improving the frequency adjustment performance of the system, we will take into account the shortage of mixed energy storage recovery time, improve the maintenance rate (SOC) maintenance rate (SOC) maintenance rate, and achieve complementary advantages between the flywheel and the lithium battery. The simulation results show that the scheme can effectively improve the power quality transported by the grid and keep the hybrid energy storage system well adaptable to the change of compensation power and extend its service life.

Lithium metal battery (LMB) composed of lithium anode and ternary cathode has a high energy density exceeding 350 Wh kg−1. However, the high reactivity of the ternary cathode with electrolyte have seriously hindered its commercialization. In this paper, the electrolyte additive isocyanatopropyltriethoxysilane (ICPTES) was designed to protect NCM523 cathode by forming a silicon-oxygen polymer on cathode and removing the HF in carbonate-based electrolyte. Li||NCM cells with ICPTES exhibited the improved capacity and capacity retention.

The discharge of radioactive wastewater from nuclear facilities is an important source of radionuclides entering and polluting the environment. Rapid and accurate acquisition of radioactivity in water is the premise of radiation protection and important data of environmental monitoring. Using liquid scintillation spectrometers to measure the radioactivity of α and β in water has the outstanding advantages of quicker sample pretreatment, simpler measurement method and higher detection efficiency. In this paper, based on the vehicle low background liquid scintillation spectrometer (SIM-MAX LSA3000B), 14C、40K、90Sr-90Y and 241Am are selected as the typical nuclides to study the measurement influence of standing time, liquid scintillation cocktail, sample bottle, volume ratio of sample/ liquid scintillation cocktail and PH value of systems on liquid scintillation measurement. The experimental results show that the composite counting method adopted by SIM-MAX LSA3000B has low requirements for standing time, the detection efficiency of low potassium glass bottle and polyethylene bottle is similar, and the detection efficiency of acid system is high. Among commercial liquid scintillation cocktails, LLT liquid scintillation cocktail has slightly higher background and detection efficiency. Under the same total volume of liquid scintillation samples, for βnuclide samples, the detection efficiency decreases with the increase of sample proportion, but the reduction range is within 8%, for αnuclide samples, the detection efficiency is basically unchanged. According to the measurement method established based on the above experimental results, the total measurement time shall not exceed 100 minutes. Under the specific activity of 0.1Bq/mL, the detection efficiency of α and β is not less than 70%. Under the specific activity of 1Bq/ mL and above, the detection efficiency of α is not less than 95%, and the detection efficiency of β is not less than 80%.

In order to suppress the IGBT peak voltage caused by the internal stray inductance of the mine-used inverter, a snubber circuit is usually connected in parallel at both ends of the IGBT in the actual circuit, but at the same time, it will inevitably bring about the problem of high-frequency oscillation of voltage and current, resulting in Fatigue and random failure of components inside snubber circuits. Therefore, it is necessary to deeply study the impact of the snubber circuits on the IGBT switching transient and its negative impact. In this paper, ANSYS Q3D is used to extract the stray inductance of the AC busbar, AC-DC busbar, and DC busbar, and ANSYS Simplorer is used to analyze the busbar. The influence of the stray inductance on the switching characteristics of the IGBT is analyzed; then, the IGBT peak voltage is suppressed by the parallel snubber capacitor, and the suppression effect of the IGBT peak voltage under different capacitance parameters and the negative impact after the introduction of the snubber capacitor are compared. ANSYS Icepak conducts numerical simulation on the internal temperature field characteristics of the snubber capacitor, analyzes the influence of the aforementioned negative effects on the heat dissipation performance of the absorption capacitor, and proposes an optimization scheme for heat dissipation design.

For the management of an electric bicycle power battery pack, a lithium battery management system with a mobile application and collection terminal is designed to realize real-time monitoring of single battery voltage, current, and temperature. A recursive least squares algorithm with a forgetting factor (FFRLS) is used on the Android app for online parameter identification to solve the balance between accuracy and real-time SOC estimation. An extended Kalman filter algorithm (EKF) based on the equivalent circuit model with real-time parameter update is used on the acquisition terminal for real-time SOC estimation. The above functions and SOC estimation methods were tested and validated using battery test equipment. The results show that the accuracy of the selected SOC estimation algorithm is significantly higher than that of the ampere-time integration method.

Aiming at the low efficiency of photovoltaic inverter, the design of photovoltaic inverter needs to be further optimized. Based on the analysis of the working mode of H6 bridge inverter, we discuss the trigger mode of the driving signal of each bridge arm switch in H6 bridge inverter and construct the mathematical model of H6 bridge single-phase grid connected inverter based on small signal theory and average state space method, which provides a basis for the design of current inner loop and voltage outer loop controllers.

Arc faults in distribution lines are one of the main causes of electrical fires and need to be protected against them. In this paper, a series and parallel arc fault experimental platform is built regarding UL1699. The current waveforms of different arc faults are collected, and the current waveforms of some electrical equipment during normal operation are also collected. In this paper, the phase space reconstruction method is used to derive the phase space trajectory diagram of the current signals during arc fault and the normal operation of electrical equipment. The arc fault current feature quantity extraction algorithm is proposed based on fractal science, and the algorithm is implemented using Matlab software to extract the feature quantities of different arc faults and some electrical equipment's normal operation current signals. Simulation results show the effectiveness and feasibility of this method.

The oscillator is the core module of the radio frequency receiving front-end, which directly determines the signal processing capability of the communication system. Optoelectronic Oscillator (OEO) technology has become the main research direction to solve the indicators of improving phase noise and frequency tuning range of RF receiving front-end. In order to better solve the problem of RF reception, this paper studies the coupled opto-electronic oscillator, discusses its application in 5G communication systems, and discusses the voltage-controlled tunable fiber Fabry-Perot Coupled Optoelectronic Oscillator (FFP-COEO); Phase noise phase and frequency tuning model, the oscillator controls the cavity length of the Fabry-Perot cavity by voltage, and the starting frequency can be adjusted. The experimental results show that the oscillator can increase the secondary mode-locked loop by improving the filtering performance of the optical loop, further optimize the phase noise of the system, and improve the side mode suppression ratio and output power.

In this paper, the finite element analysis models of dynamic eccentricity, static eccentricity and mixed eccentricity are established for the rotor eccentricity fault of 5kW permanent magnet synchronous motor in 200mm shaftless rimless propeller, and the different degrees of three kinds of eccentricity and the same kind of eccentricity are analyzed respectively. The influence of rotor eccentricity on the performance and harmonic magnetic field of the motor is studied. The parameters of the motor under eccentricity are compared with those under normal operation, and the change law of the eccentricity type in the current spectrum is determined.

In this paper, the arc fault test bench is built according to the UL1699 standard of the United States. The current waveforms of different modes of arc fault of linear load and the current waveforms of normal operation and series arc fault of common electrical equipment are collected. The phase space plane diagram of arc fault current and electrical equipment operation current is obtained by phase space reconstruction method. Based on fractal theory, the calculation method of information dimension suitable for analyzing the plane diagram is proposed, and the calculated information dimension is the first feature. The time domain characteristics of arc fault current waveform and electrical equipment current waveform are analyzed, and the zero-break time is calculated as the second characteristic. The algorithm is realized by Matlab software, and the extracted two characteristic quantities are used as double criteria to detect arc fault. The simulation results prove the feasibility and effectiveness of this method.

With the deepening of standardized and refined management of hydraulic engineering management units under the new situation, the safe and efficient operation of engineering electrical equipment is the basis of high standards and strict requirements, and electrical preventive test is one of the important means to ensure the safe operation of these electrical equipment. This paper gives a comprehensive and scientific analysis on the related problems of electrical test according to the current mainstream test procedures of power industry and the operation characteristics of electrical equipment in water conservancy industry. Through the proposed scientific and effective solutions, explore new ideas to solve the problem, in order to achieve the purpose of safe operation of hydraulic engineering equipment.

With the increasing social load and the increasingly complex grid structure, the uneven distribution of power flow and insufficient voltage support capacity have become essential factors restricting the transmission capacity of the system. Interline Power Flow Controller (IPFC) is a new type of Flexible AC Transmission Systems (FACTS) device with powerful power flow control capability. It can be applied to control power flow and transient stability of multiple channels to improve the transmission efficiency of scarce corridor resources. Considering the lack of theoretical research and guidance planning for IPFC application effect evaluation, a comprehensive evaluation method based on the fuzzy Analytic Hierarchy Process (AHP) is proposed in this paper. First, the power grid flexibility evaluation index is defined, the evaluation hierarchy is established, and the weight assignment method of each index is given. Further, the critical transmission sections are selected in the extensive system, and the scale of each index is obtained through multiple sets of calculation examples to evaluate the control potential and safety index of IPFC in typical application scenarios. Finally, combined with fuzzy analysis, the comprehensive score and overall evaluation of the IPFC scheme are given, and the effect of the device on the system is quantified, which provides a specific theoretical basis and technical support for the planning and application of IPFC.

The displacement of the variable pump is changed by adjusting the inclination angle of the swash plate. The sliding shoe pair formed on the surface of the swash plate, as the friction pair with the most complex motion posture and force situation, has an important influence on the overall performance of the pump. This paper takes the sliding shoe pair of the variable piston pump as the research object, uses the matlab software to numerically simulate the variation law of the oil film thickness field, and builds the variable pump sliding shoe pair test bench. Full-cycle dynamic evaluation of the effect of dip angle changes on oil film properties.

This paper evaluates the stability of loaders based on stability. The shortcomings of the evaluation method based on stability ratio are analyzed. The longitudinal stability, lateral stability, longitudinal stability and lateral stability of articulated loader on the ramp when the loader does not steer are analyzed and calculated in detail; A new idea is put forward for the research and calculation of loader stability.

This paper mainly studies the thermal runaway phenomenon of lithium manganese disposable battery, triggers the thermal runaway of the product by heating, monitors the voltage and internal resistance state parameters of the product, and analyzes the performance changes of the cell. Understand the process of thermal runaway according to the temperature change of the cell and the pressure change inside the cavity of the thermal runaway device (accelerated calorimeter, ARC). Through the ideal gas state equation, the release equivalent amount of thermal runaway gas in the cell are analyzed. Through the thermal runaway test, explore the parameter state changes of lithium manganese battery under extreme conditions, and deepen the thermal safety research of lithium manganese battery.

In the design process of distribution network projects, factors such as environment and project size need to be considered. This paper focuses on the inspection of the design quality of distribution network projects of 10kV and below. Firstly, the principle of quality inspection is given; secondly, the design content of 10kV and below distribution network projects is analyzed; then targeted inspection is carried out; finally, the experimental verification is carried out. The experimental results show that the use of the inspection technology in this paper can effectively detect the abnormal points of the design quality of the distribution network project of 10kV and below and improve the design quality of the distribution network project, which has certain advantages.

Based on the absorption and reflection difference of the near-infrared lasers with different spectral bands for lunar soil and water-ice, an in-situ rapid prediction method for lunar water ice is proposed. Through the coaxial design of transmitting optical path/receiving optical path and the optical path time-sharing multiplexing design for different lasers, the miniaturization design of the multimode laser optical system is realized, and the engineering prototype of lunar water ice in-situ rapid prediction sensor based on multimode near-infrared laser is developed. The sensor performance tests for simulated lunar soil with low moisture content have been carried out, and the test results show that the detection limit is better than 0.39wt%, the single detection time is about 1s, the spot diameter @ detection distance is 5cm@50cm, which show that the sensor has the in-situ rapid prediction ability to lunar soil with low moisture content.

In the high-performance control of synchronous reluctance motors (SynRM), the rotor position must be determined, so a position sensor is usually used. However, it increases the cost of the drive control system and reduces reliability. For this problem and combined with the basic characteristics of synchronous reluctance motor, a position sensor-less vector control technique based on stator phase current differentiation is investigated, which can accurately track the rotor position at both low and high speeds. The method is based on the mathematical model of synchronous reluctance motor and its convex pole effect of the rotor. The three-phase phase current differential is obtained by differentiating the stator phase current, and the rotor position is calculated from the resulting three-phase phase current differential to perform sensor-less vector control. The simulation model was built, and the correctness of the algorithm was verified on the matlab/simulink simulation platform. Finally, the reliability of the algorithm was verified on a physical experimental platform of a synchronous reluctance motor for both low and high speeds.

A discrete-domain based grid-connected inverter control strategy is studied for the problems of poor dynamic performance and weak anti-interference of low switching frequency to digital controllers in the practical application of high-power LCL grid-connected inverters in the continuous domain. Firstly, a continuous-domain mathematical model of the LCL grid-connected inverter is established and controlled by a current-loop controller (PI) to realize active damping control of the grid-connected inverter, and a discrete model of the LCL grid-connected inverter is established by the direct design method and designed directly in the z-domain. Then the state-space design method with pole configuration is used to control the current using the method of complex space vector in the synchronous dq coordinate system The control strategy of the grid-connected inverter in the discrete domain is discussed based on the discrete domain mathematical model and the internal mode control principle; finally, the designed control algorithm is compared with MATLAB/Simulink simulation. The results show that designs in the discrete domain have better dynamic performance and are more resistant to disturbances than designs in the continuous domain.

5G and the Internet of Things have dramatically changed our lives. Sustainably powering distributed electronics and sensor networks is a pressing requirement and a challenge. Traditional fossil fuels not only pollute the environment, but also are not renewable. Especially in today's serious energy and environmental problems, actively promoting the rapid development of micro-energy harvesters can provide an important means for the rational use of resources. Therefore, a new way of supplying electricity is urgently needed in the contemporary world. Harvesting energy from the external environment to drive electronic devices has become a viable approach. Triboelectric nanogenerators (TENGs) convert various mechanical motions into electrical signals by harvesting various forms of mechanical energy in the environment and convert alternating current (AC) signals into stable direct current (DC) signals through power management circuits and power electronic component signals. It can not only solve the problem of converting the collected wind energy into electric energy, but also supply power for subsequent sensors, realizing part of self-driven sensing without external power supply, and without complex control circuits and programs. It has good application prospects in the field of meteorological monitoring.

Lithium-ion battery is a promising battery system due to its splendid energy and power density. Aiming at discussing the present applications of lithium-ion battery, this article indicates that lithium-ion battery is a power source for electric vehicles, explains the benefits as well as present challenges of lithium-ion battery, and gives out a prospect. Then, it talks about the ways that improve and the factors that influence the efficiency of lithium-ion batteries in electronic devices. In the end, the passage discusses the prospect and future goals of lithium-ion battery.

In order to better control the cost of power resources and ensure the rational allocation of power resources, a construction method of multi-dimensional transaction optimization model of power market considering the uncertainty of source load is proposed. Combined with the uncertainty characteristics of source load, the characteristic structure and transaction impact information of power market are standardized, and the multi-dimensional transaction management algorithm of power market is constructed to improve the multi-dimensional transaction model structure of power market. Finally, it is confirmed by experiments, The multidimensional transaction optimization model of power market considering source load uncertainty has high practical value and fully meets the research requirements.

Power transformer is the power grid of the voltage size of the place for lifting and upgrading, through the lifting and lowering of the voltage, can reduce the power loss in the transmission process and provide end users with a voltage level to meet the needs, is one of the most important equipment in the power system. Therefore, reliable condition monitoring and fast and efficient fault diagnosis of power transformers are required to ensure the good and stable operation of distribution transformers. In this paper, a comprehensive review and summary of the fault diagnosis research of power transformers is carried out.

In this paper, one 220kV substation has been selected in each prefecture level company of State Grid Shandong, Hebei and Shanghai. A total of 26 different types of 220kV substations are selected. Nbm-550 electromagnetic field detector is used to detect the power frequency electromagnetic field intensity in different areas of the substation, and the linear hybrid model is used to compare the power frequency electromagnetic field detection results in different areas, to study the distribution of power frequency electromagnetic field in different areas of 220kV substation workplace. The test results show that the higher the voltage level is, the higher the power frequency electric field is in the same type of distribution device area with different voltage levels in 220kV substation; AIS area is higher than GIS area, indoor switchgear area, and overhead outgoing line is higher than cable outgoing line. GIS device, cable and switch cabinet have good shielding effect on power frequency electric field and power frequency magnetic field.

The layered cathode materials of NaxMeO2 (Me=Ni, Co, Fe, Mn and other elements) for sodium-ion batteries hold the advantages of high energy density, high redox potential, and abundant resources. However, the layered cathode materials were unstable in air and during the charge-discharge process, which seriously affects the composition and structure of the materials, and deteriorates the electrochemical performance of the battery, leading to the restrictive commercial application of sodium-ion batteries. In recent years, based on the stability of layered cathode materials, the chemical reaction process in the air have reported, and the destabilization mechanism were analyzed. Different strategies have been adopted to improve the stabilization characteristics, then promote the applications of layered cathode material in sodium-ion batteries. This word summarized the research progress on the stability of layered cathode materials for sodium-ion batteries. The reaction process of NaxMeO2 with H2O and CO2 in the air to generate NaOH, Na2CO3, NaHCO3 were reviewed, and the phase transformation of NaxMeO2 cathode materials during the charging and discharging process were discussed. The research progress of element doping, theoretical calculation and detection methods in the investigation of stability characteristics for layered cathode materials are analyzed. Finally, the application of layered cathode materials in Na-ion batteries was prospected.

To improve the market operation income of power enterprises and realize the rationality of power transaction pricing, a new pricing method for micro-grid power transactions is designed by introducing the leader-follower game theory. Aiming at that micro-grid electric energy time-sharing and internal transaction price transaction target, different electricity price levels are designed according to the load condition of the electric energy in different periods in the power supply process. Corresponding transaction price objective functions are constructed. A dynamic utility function of electric energy transaction price is established according to that leader-follower relationship between the trader and the insider in the transaction process. The dynamic decision of the electric energy transaction price is made according to the position and suggestion weight of the slave in the auxiliary decision. According to the actual situation, demand, and industrial development scale of power enterprises in the market, taking the optimal revenue as the core, the final pricing design of the micro-grid power transaction is carried out. Design comparison experiments show that the proposed pricing strategy has high application feasibility and can effectively promote the economic benefits of the micro-grid.

The fractured steel foot of suspension insulator used in 110 kV transmission line was investigated by means of Macro-morphology inspection, chemical composition analysis, microstructure analysis, fracture morphology analysis, hardness test and numerical simulation. The results show that the terrain of the area where the transmission line passes through is relatively flat and the wind speed is uniform and stable. At the same time, the climate characteristics of low temperature in winter and large temperature difference between day and night cause the conductor tension to rise, resulting in slight vibration of the conductor without anti vibration device. Finally, under the action of cyclic bending stress, fatigue cracking occurs along the joint of ball joint and rod of the steel foot used in suspension insulator.

The worn ball head hanging ring used in suspension insulator of 110kV transmission line was investigated by means of microstructure analysis, Macro-morphology inspection, fracture morphology analysis and hardness test. The results show that the material of the ball head hanging ring with low hardness and poor wear resistance and the galloping of the conductor were the main reason for its severe wear. Additionally, effective suggestions were put forward in order to improve the wear resistance of the ball head hanging ring in order to ensure the safety and stability of the power grid.

The microstructure and mechanical properties of 300M steel tempered twice at different tempering temperatures were studied by Rockwell hardness tester, scanning microscope and transmission electron microscope. The results show that the strength first increases and then decreases with the increase of tempering temperature in the range of 200 °C to 400 °C; the area reduction, total elongation and impact energy also first increase and then decrease. However, it is most stable for the hardness trend. The yield strength and tensile strength of steel subjected to tempered twice at 300 °C can reach 1828.5±17.7 MPa, 1920.0±11.0MPa, the impact energy can reach 58.2±2.2 J, and the impact toughness is the best.

The fractured ball head hanging ring used for cross arm insulator of 220kV transmission tower was investigated by means of macro-morphology inspection, chemical composition analysis, microstructure analysis, SEM morphology analysis and finite element analysis. The result showed that the pre tightening force of the connecting bolt between the U-shaped hanging plate and the ball head hanging ring was too high and the ball head hanging ring had been stuck, so that it could not swing freely around the bolt hole at the lower end of the U-shaped hanging plate. In addition, due to improper hot working process, a large number of network ferrite had been formed in the structure, resulting in a significant decline in its fatigue resistance and toughness. In this way, in case of wind deflection swing of the conductor, the rod of ball head hanging ring would bear large alternating bending stress and tensile stress, and finally fatigue fracture would occur at the joint between the ball head and the rod with obvious stress concentration.

The uncertainty and intermittent characteristics of the output of new energy power sources make the output of grid connected power sources change frequently. With the expansion of the scale of the grid-connected power, the output change of the new energy will affect the distribution of the power flow in the grid, so that the voltage of the system will fluctuate. Aiming at the current large-scale wind turbine and photovoltaic power station new energy power supply connected to the grid, this paper builds the system voltage regulation model, studies the voltage stability of the system, and further proposes measures to suppress the voltage fluctuation of large-scale wind turbine and photovoltaic power station new energy plant station access system based on the engineering practice. This paper studies the stability of transient voltage of power grid by different operation modes of new energy plant station access system.

Based on the analysis of the grid side energy storage business model and operation mechanism, considering the local load and electricity price in Zhejiang, the economic analysis model of energy storage system is established. For lithium-ion battery, the economy of battery energy storage system on the grid side is calculated in detail and the sensitivity analysis of key parameters for lithium-ion battery is carried out. The simulation results show that the application of lithium-ion battery in power grid side energy storage has certain economy.

Publisher's Note: This paper, originally published on 16 December 2022, was withdrawn on 28 November 2023 per author request.

The comprehensive quality evaluation of distribution network equipment assets in the whole life cycle plays an important role in the development of distribution network enterprises. The quality evaluation of individual equipment is not representative, and it is not feasible to evaluate each piece of equipment. So, in this paper, the average quality level of similar distribution network equipment is evaluated from four aspects, procurement, installation, operation, and obsolescence, to make the evaluation results more representative and help distribution network enterprises to master the status of their equipment assets more efficiently. Under the evaluation index system, the analytic hierarchy process, the entropy weight method, and the least square method are used to get the comprehensive weight composed of the subjective weight and objective weight mixing. Then, by the fuzzy comprehensive evaluation method, the comprehensive weight is used to evaluate similar equipment in different regions and different equipment in the same region. Finally, the case analysis is carried out with the data of distribution cables and distribution transformers in H, Z, and J provinces to verify the feasibility and effectiveness of the proposed index evaluation system and evaluation model.

Brake electromagnet is the core equipment of elevator braking system, and its reliability directly affects the safe operation of elevator and the personal safety of passengers. In this paper, the reliability of an in-service elevator brake plunger electromagnet is tested and analyzed. The results show that the minimum pull-in voltage on the sample side of the brake is too high, and the maximum release voltage and working temperature are normal. In the process of use, the plunger action at both ends is not synchronized, that is, there will be an obvious time difference when the drum on both sides releases the braking force.

Electric vehicle charging is disordered and distributed power supply is intermittent and random, and large-scale access to the power grid poses a threat to the reliability of the distribution network. On the basis of traditional source-load interaction, a distribution network reliability optimization strategy for the interaction between electric vehicles and distributed generation is proposed. First, the power supply and demand interaction system are designed and the interaction mechanism between the two is explained; secondly, the elements of the power supply and demand interaction system are analyzed, and the distributed power supply power probability model and the electric vehicle load probability model are constructed. Then, construct a distribution network reliability optimization mathematical model of the interaction of power supply and demand, and use the elite genetic algorithm to solve the model. Finally, the Matlab example simulation is used to verify the feasibility and effectiveness of the distribution network reliability optimization strategy, which can improve the reliability of the distribution network and promote the consumption and utilization of renewable energy.

This paper analyzes the cobalt consumption structure and history in the world, uses department demand forecasting method to tell China’s future cobalt demand tendency. China currently is at the stage of rising demand, estimated up to 111,000 tons in 2025, of which 81,000 tons are needed in the lithium battery field. The article's quantitative forecast of China's cobalt demand on a medium- to long-term scale is of great practical significance to the formulation of China's cobalt resource development, industrial development and planning layout.

Group collaborative design solves complex engineering design problems by collecting the designers' design ideas in the design team. How to express and quantify the designers' ideas and select valuable and innovative design ideas is the main problem faced by group collaborative design. To solve this problem, a design mental model is proposed. Moreover, the quantitative method of mental model based on natural language processing technology and the comprehensive evaluation method of mental model based on information consistency are proposed. Taking the group collaborative design of the conceptual design of EPB shield machine as an example, the result shows that the proposed methods can effectively select the valuable and innovative design ideas of 5 designers from the design ideas of 12 designers and promote the convergence and iteration of the group collaborative design scheme.

All-inorganic perovskite quantum dots have attracted much attention in the photovoltaic field due to their tunable bandgap and quantum confinement effect. However, the low photoconversion efficiency and notorious water stability limit its application in photocatalytic water splitting. Herein, we synthesized Ru- CsPbBr3 quantum dots by hot injection and protected them using graphite thermal sheets as photoanodes. The successful doping of ruthenium with high catalytic activity not only improves light absorption but also promotes carrier separation. The photocurrent of Ru-CsPbBr3 QDs is thus increased by three times (1.81 mA cm-2 at 1.23 VRHE) and can be continuously illuminated underwater for 20 minutes. This method provides an idea for studying water splitting of perovskites.

In a highly competitive market, it is critical for companies to effectively reduce raw material procurement and forwarding costs in the production of their products. Based on the data of suppliers and forwarders, we optimize all the details of the procurement process and minimize the procurement cost of enterprises through a complete solution called APSA. APSA first selects some of the most critical suppliers from all supplier data using multiple evaluation methods combined with the TOPSIS evaluation model. In this process, three attributes, “Time-weight Mean”, “Order Quantity Variance” and “Trading Stability Factor” were defined by us to evaluate each supplier more comprehensively from multiple perspectives. For the prediction of forwarder data, the rational analysis of the periodical features of each forwarder is used first. Then ARIMA and LSTM are applied, respectively, with the different data types. Finally, reasonable multi-objective optimization equations are established, and the optimal procurement and transfer solution is solved by the simulated annealing algorithm.

Power demand side management (PDM) is a flexible load that the demand side participates in power grid dispatching, which can fully mobilize the resources of the user side in the integrated energy system, improve the comprehensive utilization efficiency of energy, reduce the cost of energy consumption, and absorb more renewable energy. Based on the research status of integrated energy system dispatching and PDM, this paper introduces the research methods and application status of PDM in integrated energy system dispatching at home and abroad.

Cloud energy storage is a new form of energy storage service. The cloud energy storage operation agent (CESOA) can realize the profit of three participants: users, power grid and cloud energy storage. The impact of the renewable energy power generation operation agent (REPGOA) on the profits of renewable energy power generation with difference proportion of cloud energy storage constructed under a triple market environment. In addition, the impact of the proportion of cloud energy storage purchased by the renewable energy power generation side on the revenue of each entity is analysis.

A feeding device for an aquaculture engineering ship is designed to meet the feeding demand of deep-sea aquaculture, where the design of rails and a bait-casting vehicle are mainly introduced therein. The device can realize whole-area and even feed in an aquaculture cabin, which has positive significance for improving feeding efficiency.

This paper developed a loader scooping performance test platform to obtain basic data on the performance parameters of the scooping process for the study of loader energy-saving technology from the optimization of the working process. Firstly, the test methods of scoop trajectory and bucket insertion angle, operation resistance, energy consumption of loader systems, scoop full bucket coefficient, and other parameters are studied. Then, based on the power system of the loader, a testing platform for the performance of the loader is developed, which is equipped with testing sensors and self-developed measuring devices. The parameters such as force of pin, pressure and flow of hydraulic system, displacement of cylinder, etc. During the shoveling operation of the loader are collected in real time by the sensors arranged on the platform and the relevant testing methods to calculate the performance parameters of the loader shoveling operation, and through automatic scooping and material preparation to ensure the repeatability of the test. Finally, relevant data is obtained through experiments, and the successful development of the loader shovel performance test platform is proved.

In this paper fuzzy simulation method of storage device of high-capacity pulse equipment was advanced for the problem of impossibility of building a precise mathematical model because of the factors such as the influence of non-linear component of storage device of high-capacity pulse equipment, the saturation of storage device and the line loss/ device loss etc. Firstly, a basic model was built according to the basic principles of storage equipment, then a fuzzy correction model was built as supplement of basic model combining with the running features of the storage equipment. Finally, a simulation model was built and the rectified. The simulation result shows that the fuzzy simulation is closer to the real running data, index of IAE was lowered to about 16% of the normal simulation result.

Aimed at the defects of low accuracy of motion pattern recognition and large volume of measuring equipment, a motion pattern recognition system based on MPU6050 and pressure sensor is designed, and the overall structure of the system is given. The system takes nRF2401 wireless transmission module as the node to transmit the pressure and acceleration data collected by the data acquisition system to the data processing system. After preprocessing the data, the system extracts the eigenvalues, passes them into the double classification model based on SVM, corrects the model parameters, and achieve the task of motion pattern recognition. Experiments show that the system has small volume, high accuracy, and the accuracy is as high as 92%, which is obviously superior to the model using pressure data and classification model based on SVM.

The liquid-propellant rocket engine is a kind of complex equipment. To reduce the development cycle of the engine design and improve its maintenance efficiency, an efficient hardware-in-the-loop simulation platform was designed and built. With the continuous process of simulation, a large amount of simulation data is generated. To efficiently, completely, and safely manage these data, MySQL and Navicat software are used to design a database applied to the hardware-in-loop simulation platform to achieve data import, insert and export, data query, data visualization, and other functions. At the same time, the database development environment and performance are configured and tested. The application results of the database in the hardware-in-the-loop simulation platform show that the database can meet the requirements of the hardware-in-the-loop simulation platform.

Strain gauge balances are basic equipment for wind tunnel tests. With the continuous and rapid development of material, design and processing technologies, temperature effects have become one of the main factors affecting the test ability and reliability of wind tunnel strain gauge balances [1]. Facing the developing technical requirements of wind tunnel tests, CARDC has carried out the research on strain gauge matching compensation technology around the temperature effect correction for a wind tunnel strain gauge balance and has achieved preliminary successful application. Based on the temperature performance test of strain gauge and temperature optimization, this technology realizes the temperature effect compensation control of a wind tunnel strain gauge balance. It has the characteristics of high compensation accuracy and good overall reliability. The research is of positive significance to improve the development technical level of domestic wind tunnel balances.

At present, the structure of pressure control device applied on urban rail transit is too complex. In this research, a product with simplified structure is formed by integrating filter device, one-way valve, main control valve, auxiliary control valve, solenoid valve, throttling device, remote release air control valve, braking limit air control valve and controller. Through multiple matching experiments, the functions of the product are verified. It is a highly reliable and integrated product.

In order to improve the vibration reduction performance of a special vehicle, a mathematical model with 13 DOF of the special vehicle is established by reasonable simplification. The vehicle dynamics simulation model is established based on the multi-body system dynamics software Simpack; the model of hydro-pneumatic suspension is established in AMEsim; a random road excitation model is established in Simulink. Through multi-software co-simulation, the vibration reduction performance of ipsilateral coupled hydro-pneumatic suspension and hybrid connected hydro-pneumatic suspension of a special vehicle is compared and analyzed. The results show that the hybrid connected hydro-pneumatic suspension system can improve the driving stability of the vehicle and improve the anti-roll and anti-pitch ability.

The gantry high performance motion system is widely used in many high-precision servo motion scenarios. In this paper, a two-degree-of-freedom MIMO decoupling control strategy is proposed. In this strategy, a MIMO decoupling matrix is designed in a targeted manner, and a two-degree-of-freedom control structure composed of acceleration feedforward and closed-loop feedback control is used to suppress various disturbances, and then the motion coordination control of the motion stage is carried out from a global perspective. Finally, the effectiveness of the control strategy is verified by the actual test of the fourth order setpoint trajectory tracking, and the performance is compared with the general cross-coupling control strategy. The results show that the root mean square value of the tracking error and the maximum absolute value of the tracking error in the combined test of the X, Y direction and the YX axis of the gantry high performance motion system have been effectively improved.

Nowadays, the increasing cyber threats, and the complexity, diversity, highly integration and openness characteristics of networked systems easily cause critical security problems to the systems’ services and/or components that operating within such environment with dual attributes of physics and information. Security control issue in cyber-physical field, especially for time-delay control systems, requires in-depth research since new problems associated with the emerging integrated techniques arise. This paper study a resilient security control scheme for time-varying delay systems based on switching moving defense method in the cyber-physical environment, to improve its inherent security defense ability. First, the resilient security control model with switching method is formed, time delay and parameter uncertainty factors are both considered, and then the exponential stability conditions for the designed resilient security controller with time delay for time-varying delay system is derived with the Lyapunov stability analysis scheme. Second, three attack detection decision strategies, state-average-energy based detection strategy, abnormal-data-statistics based detection strategy and average-dwell-time-switching based detection strategy, are provided. Third, the moving defense scheme based on switching resilient control and combined attack detection method is proposed. Finally, simulation experiment results are given to show the effectiveness of the proposed approach.

The BIW of a semi-trailer was chosen for this study, and the finite element model of this BIW was established, achieved the modal parameters by both simulation and test. It found out that the frequencies between simulation and test are quite different. To find out the reason of the difference, designed an airbag tooling which can provide more accurate free mode boundary, carried out modal experiment again. Turned out the deviation between simulation and test are very small, which shows that the modal test boundary has a great influence on the results and the airbag tooling designed in this paper can effectively improve the accuracy of modal test. It also shows that the FEA modeling method and analysis method are feasible, which can provide a reference basis for the structural design and dynamic characteristic optimization of BIW.

Some of the large and medium-sized pumping stations designed and built in the early 1980s and 1990s have the function of reverse power generation. When the upstream water source is abundant, they can operate as small hydropower stations and reverse power generation. However, when the main motor starts, it is necessary to manually observe the reverse speed and manually close the high-voltage switch of the main motor. It is often impossible to accurately judge the sub-synchronous speed of the main motor, resulting in too early or too late excitation input. As a result, the starting current of the main motor is too large, and in serious cases, the high-voltage switch protection of the main motor trips, resulting in the failure of starting the main motor. By optimizing and modifying the starting mode of the main motor, the intelligent monitoring of the main motor speed, the reliable capture of the sub-synchronous speed, the automatic closing of the high-voltage switch and the automatic excitation are realized, and the safety and reliability of the starting of the main unit are improved.

Through the mechanical analysis of the elevator when it is stopped, the basic operation equation of the elevator is established. Through the MATLAB simulation calculation of the model, the stop distance of the pre-triggered stopping system can be obtained after the specified stop trigger point is triggered. It provides a theoretical calculation basis for the use and installation of the elevator pre-triggered stopping system.

With the rapid development of new power systems and smart energy, data sources for energy equipment are being greatly expanded, and integrated power scenarios are becoming more sophisticated and complex. As a visualization tool that can quickly build smart energy scenarios, configuration software has been unable to efficiently respond to the increasing number of cross-system and multi-granularity display requirements. In order to address the serious shortcomings of configuration software in data display, this paper proposes a new multi-source data fusion scheme that achieves the linkage effect between equipment model attributes and multi-source binding data via flexible and configurable multi-source data selection components and dynamically assigned functions. At the same time, the hybrid communication mechanism is used to optimize the data refresh performance, and finally, multi-source data fusion of a single model is realized, which improves energy visualization accuracy. In the end, an example scenario is compared to the existing solution to validate the paper's proposed scheme's simplicity, flexibility, and agility.

The paper takes marine transmission as the research object, generates the schemes of transmission automatically based on graph theory and maps the selected transmission graph theory model scheme into a more intuitive transmission configuration for subsequent design. The main contents of this article are as follows: Extracting the knowledge from existing Marine transmission data; generating the graph theory models and numbering the vertexes and edges of each model; converting graph-theoretic models into mathematical language for processing by computers; formulating screening rules for graph model schemes; listing the screened graph model solutions and mapping the selected transmission graph theory model scheme into transmission configuration. By using the methods described in this paper, designers can achieve a shortened design cycle for marine transmissions and improve design efficiency.

The production efficiency and cost of PC (precast concrete) component production line are determined by the degree of intelligence. Comparing domestic and foreign advanced PC component production lines and concepts and analyzing the existing typical PC component manufacturing mode and characteristics, an intelligent PC component manufacturing control system is developed. Combined with the actual investigation of a domestic company's PC component production base, the system is used to intelligently monitor, control and schedule the mold table conveying system, production preparation system, concrete placing and vibrating system, maintenance system, mold dismantling and lifting system of the production line. The system can effectively improve the factory production organization efficiency, equipment safety and automation degree, optimize the manual operation environment, and provide useful reference for the intelligent PC component manufacturing.

In this paper, the reliability of the loader system is modeled, and the reliability of the loader system is analyzed based on the parameters of the loader system. On this basis, the reliability distribution of loader system is completed. Based on the system reliability allocation criterion, the reliability allocation data of the series model between each subsystem of the loader is calculated. The reliability distribution model will help to solve the problems of short service life and poor operation reliability of wheel loaders developed and produced by our country at present. It will provide a useful reference for the design and optimization of loader system.

Aiming at the problem of perturbation of parameters in the mathematical model of lateral control of heavy vehicles, this paper designs an H∞ robust controller according to the hybrid sensitivity design idea, and laterally controls the four-degree-of-freedom heavy vehicle lateral-pendulum-roll coupling dynamic simulation model. Simulation results show that the controller can maintain good robustness and anti-interference ability when the parameters of the lateral control of heavy vehicles are perturbed, which provides a theoretical basis and certain reference value for solving the model uncertainty in the lateral control of heavy vehicles.

In order to solve the problem of glass curtain wall cleaning, a curtain wall cleaning robot was designed. We use SolidWorks three-dimensional software to the robot body, clamping device, suspension device, cleaning device and other structural design; use ANSYS, through the analysis and calculation of clamping force and driving force, to carry on the simulation analysis to the mechanical property of the clamping device; use MATLAB to analyze the mechanical properties of its cylinder and clamping claw. The results show that the clamping force can be kept stable in the process of robot movement without stress concentration phenomenon, and the device structure fully meets the actual demand.

According to the mapping and positioning requirements of indoor robots, a mobile robot system based on ROS operating system and Lidar is designed and constructed. The robot system uses the PC built with the ROS system as the upper computer, and the STM32 single-chip microcomputer as the lower computer. It uses the Delta-2A Lidar, Odom, and IMU to obtain relevant information, and transmits it to the SLAM of the cartographer algorithm to construct a grid map. The results show that the built map has better accuracy, and the mobile robot system has better portability.

In order to improve the positioning accuracy of the robot's vision system and reduce the influence of redundant information and noise on the image edge, the Canny operator based on the hybrid frog jump optimization algorithm is applied to the edge detection of the robot's paper mounting. In this paper, the maximum interclass variance is used as the objective function of the hybrid leapfrog algorithm, and the Canny operator double threshold is adaptively iteratively optimized to realize the effective extraction of papered lines. The simulation results show that the optimized Canny operator of the algorithm can better detect the boundary contour of the paper mounted image, adaptively obtain the optimal threshold, make up for the shortcomings of the traditional Canny operator that needs to be set manually, improve the detection accuracy, and have a certain noise reduction effect. Compared with particle swarm optimization algorithm and traditional Canny algorithm, the C / a of this algorithm is reduced by 3.33% and 33.39% respectively, and the C / B is reduced by 14.94% and 54.55% respectively.

Aiming at the lack of fault data and online simulation difficulties in the intelligent operation and maintenance of the braking system of trains, the braking system of high-speed trains was taken as the research object in this paper, and the fault online simulation method of braking system was studied. First, by analyzing the structural composition and functional principle of the braking system, a simulation model of the braking system was established by using AMESim software. Secondly, the fault injection methods for different faults of the braking system in the AMESim simulation model were proposed. Then, in order to achieve real-time fault injection, LabVIEW and AMESim were jointly simulated to establish a multi-domain digital model of the braking system. Finally, some typical faults of the braking system were injected into the multi-domain digital model for online simulation and compared with the theoretical analysis results. The results show that the outputs of fault online simulation are in good agreement with the theoretical analysis ones. The method proposed in this paper provides an effective way to obtain online fault simulation data for intelligent operation and maintenance of the braking system of trains.

Due to the decoupling of the rotor speed and the system frequency, the Double-Fed Induction Generator (DFIG) cannot participate in the primary frequency regulation of the system, which reduces the stability of the wind turbine system with a high proportion. In the traditional integrated control, the fixed coefficient is usually used, which cannot change the parameters in real time according to the change of wind speed and system frequency to participate in the system frequency modulation. Therefore, in order to improve the ability of the wind turbine to respond to the frequency of the system, this paper proposes a wind turbine primary frequency modulation strategy based on adaptive control. By combining the adaptive load reduction control with the adaptive virtual inertia integrated control, the load reduction ratio, the virtual inertia coefficient and the droop coefficient can be adjusted adaptively with the actual wind condition and the system frequency deviation. The simulation results show that the adaptive control strategy can improve the ability of the wind turbine to participate in the primary frequency modulation of the system, so as to improve the safety and reliability of the system.

Using a palletizing robot to replace the manual handling of the outer box of the hemodialysis pipeline, a six-joint series virtual prototype of the robot was established, and the kinematics of the six-joint motion drive of the palletizing robot was analyzed. The results show that the displacement and velocity curve of the robot end-effector is obtained through simulation, and its change is stable and there is no sudden change. The motion state of the end effector during the movement and handling of the depalletizing robot is clarified, which provides a theoretical basis for robot trajectory planning and dynamic analysis, and also provides relevant basis for the implementation of subsequent plans, robot programming, and prototype testing.

The Internet of Things technology is more and more widely used in industrial life, among which LORA technology is also becoming mature. However, the wireless sensor node cannot replace the battery frequently due to the limitation of the environment where it is placed, but it also requires the device to have a certain life length in the use environment. Based on the actual requirements, this paper proposes a system method of energy management and dynamic voltage regulation, which can reduce the power consumption of the module from the two aspects of software and hardware design respectively, to achieve the requirements of reducing the power consumption and improving the service life of the module. This article mainly describes how to reduce the power consumption in the hardware.

This paper presents a new sorting system for DNA molecules with different base pairs. In order to solve the problems of low sorting accuracy and low efficiency in traditional DNA sorting technology, microfluidic and dielectrophoresis technology is proposed to be used in this system. By use of the control ability on particle motion, a microfluidic chip is designed to establish a targeted DNA sorting microfluidic system. The flowing state of DNA solution and buffer in micro channel is simulated by multi physical field coupling software. The simulation results guide the design of microfluidic chip, and then realize the microfluidic chip through MEMS fabrication process. Through the research of relevant contents, the motion characteristics of DNA molecules in micro channels under the action of dielectrophoresis force are revealed. The experimental result indicates that the macromolecule DNA can be selected from the solution with different DNA molecules.

Palletizer is a kind of equipment commonly used for material transfer, which is often used in ports and warehouses. With the development of shipping industry, the demand for marine palletizer is also urgent. This paper designed a kind of marine material palletizer based on tapered roller bearings, which solved the problem that the palletizer was easy to get stuck under inclined working conditions. Its function was verified by mechanical analysis and FEM simulation. The results showed that compared with the traditional stacker, the stacker with this structure could reduce the tangential force on the roller of the rotary device by 50%, and greatly improved the operation stability of the stacker under the inclined working condition at sea.

This paper designs a comprehensive testing device and method for coal and gas outburst alarm and power-off, which can realize the accurate, efficient and automatic testing of coal and gas outburst alarm and power-off locking function of heading face, coal and gas outburst alarm and power-off locking function of coal mining face of coal mine safety monitoring system. In addition, it can also realize the wind power and gas locking function and power-off time, substation over limit locking function and power-off time accurate test of substation fault locking function and power-off time.

Aiming at the problems of traditional valve electric actuator and its control structure being bloated, time-consuming, disordered and high cost in the installation site, the design and research of valve control based on LoRa wireless communication technology are carried out to achieve the wireless control, condition monitoring and centralized equipment maintenance. It can minimize the input of materials and personnel during the project implementation and post-maintenance process, so as to achieve the goals of energy conservation and emission reduction, improve efficiency and cost reduction. It provides frontier research and basis for the application and development of industrial valve Internet of Things technology.

With the rapidly development of global military, missiles play an increasingly important role in modern war. The realization of precise guidance for missiles has become an important problem to be solved at present, and the seeker is an important equipment to realize precise guidance. The traditional gimbal seeker has many disadvantages such as large volume, high cost and complex structure, so the strapdown seeker appears. Although the strapdown seeker can effectively solve the problems above, there are problems such as high noise, attitude coupling, phase matching, etc. So, strapdown seeker requires higher estimation algorithm than traditional gimbal seeker. In order to improve the filtering accuracy, this paper adds an adaptive link to the unscented Kalman filter to form an adaptive unscented Kalman filter. Finally, through simulation and comparison, it is found that the filtering accuracy after adding adaptation is a little higher than that before adding adaptation.

Based on ABAQUS platform, this paper completes the simulation of micro-aluminum wire straightening process. Through ABAQUS simulation analysis software, combined with the characteristics of straightening process in metal wire, the straightening process is simulated and simulated; This paper analyzes some state parameters (plastic strain, residual stress, straightening force and straightness, etc.) of metal wire after straightening, and verifies the correctness of structural parameters, technological parameters and straightening scheme design included in straightening device by comparing the change curves of coordinates before and after straightening; It provides a reference basis for further perfecting the straightening theory of ultra-fine metal wire and exploring how to improve the configuration of related parameters in the straightening process.

Designing an interactive rapid development framework based on the energy industry can help enterprises in the energy industry to achieve component-type and high-efficiency application development of front-end applications, high-quality operation, high scalability, high maintainability, ease of use, etc. while effectively reducing the development threshold and rapidly developing business applications independently, which can greatly reduce application development costs, shorten the application development on-line cycle, and quickly respond to various needs such as business operation change and innovation.

Monitoring the train vibration is an important issue in subway safety management and maintenance. Aiming at the problems of traditional technology for detection and acquisition of subway vibration, such as unable to achieve dynamic detection or evaluation, and unable to give early warning to the changes of subway tunnel structure, this paper proposes a method to obtain and predict the vibration reduction effect based on grating array. The method uses short-time power spectral density (PSD) to extract train vibration signal and uses Z-vibration level (VLz) to obtain the vibration reduction effect of subway track. A model based on deep forest (DF) is improved to predict the variation trend of vibration reduction effect. The experimental results on the actual train data illustrate that the proposed method can accurately extract the train vibration signal, and the model can effectively forecast the vibration reduction effect, which has a lower error precision and shows improved performance over other prediction models.

The demand for dental implants has grown rapidly in recent years, but they are expensive. One of the prime reasons is its manufacturing costs. In order to realize low cost and high efficiency of dental implant processing, this paper presents a seven-axis machine tool and develops a special numerical control system of the machine tool. Firstly, the structure of machine designed by us is introduced. Then, the hardware structure and software function of the control system were designed according to the processing technology of dental implant, including turning-milling conversion and back processing. In addition, a spiral path smooth compression algorithm was proposed to improve the machining efficiency and quality. Finally, the performance of the machining center is tested to verify that it has a high degree of automation, processing efficiency and machining quality, which meets the performance requirements.

In high power PWM inverter system, EMC problem becomes more and more serious, common mode conducted electromagnetic interference (EMI) becomes the research hotspot. By studying the interference source and interference path of metro traction inverter system, this paper proposes to establish the equivalent model of metro inverter system for the whole circuit. By extracting the high-frequency parasitic parameters of metro inverter system structural parts through simulation software, the whole circuit simulation model is built, and the common mode conducted electromagnetic interference is simulated and measured. At 150KHz-30MHz, the simulated spectrum and the measured spectrum peak value are 92.489dBuA and 94.064dBuA, respectively. The peak error between the simulated spectrum and the measured spectrum is about 1.6dBuA, and there is obvious resonance at 2.1MHz and 2.07MHz, respectively. The simulated spectrum and the measured spectrum peak value and their variation trend are basically the same, the amplitude difference is very small, which proves the correctness of the high-frequency equivalent model and analysis of the whole circuit proposed in this paper. This method can be used as a feasible scheme to calculate and predict common-mode EMI of three-phase metro inverter system.

As more and more attention is paid to the ocean in today's world, autonomous underwater vehicle (AUV) is widely used. At present, a variety of AUVs has been put into commercial use. For AUV, its underwater resistance is very important to its performance of AUV, and the geometry of AUV is the key factor affecting the underwater resistance. Considering the difficulty and cost of production, most commercial AUVs adopt a torpedo rotary design. In this paper, for the commercial small AUV, we make an optimal design of its head by a parabola. Compared with the popular commercial AUV product, REMUS100, the underwater resistance of AUV design is analyzed by ANSYS Fluent calculation. We also analyze the head stress of AUV by ANSYS Mechanical. The head optimization design of AUV based on the parabola is obtained, which provides a reference for the design of small commercial AUVs in the future.

The concept of hybrid brain-computer interface has been proposed in recent years. Hybrid BCI(HBCI) refers to a system that is a mixture of one single-mode BCI and another system (BCI system or non-BCI system). In this paper, we propose a new hybrid brain-computer interface which combines SSVEP and EOG to improve the performance of BCI system. The 16 buttons are distributed in four areas (upper left, lower left, upper right, and lower right) of the GUI, and the 16 buttons simultaneously start to flash, with the user staring at the target of his/her choice. After the flashing, the four positions will move in different directions, and the user generates the corresponding eye movement by watching the target. Since the time-domain features of EOG are very obvious during eye movement, the waveform analysis method used in this paper identifies the direction of eye movement. The TRCA algorithm is used to identify the SSVEP. At the same time, by fusing the features of EOG and SSVEP, the accuracy of the hybrid BCI system can be further improved. Ten healthy students participated in our experiment. The average classification accuracy of the system was 90.77%, and the information transmission rate (ITR) was 73.73 bits/min. Significance: These results show that the hybrid BCI system proposed in this paper has excellent performance.

In view of the fact that the rusting speed of the transfer track in coastal launch site is fast and the rust-removing efficiency is low, which affects the reliability of the transfer, an automatic rust-removing robot for the transfer track is designed based on laser technology, monorail platform vehicle and artificial intelligence, which realizes the rapid, intelligent and pollution-free rust removal of the track, and greatly improves the rust-removing efficiency and the maintenance capacity.

In order to solve the problem that the defective cigarettes were mixed into the finished cigarettes under the single waste rejection valve mode of cigarette machine, the production speed was fast, the performance of the waste rejection valve was reduced, the drive module of the waste rejection valve was faulty, the signal circuit was broken, the peripheral pressure was too small, and so on. This paper provides a cigarette maker’s cascading among N waste rejection valves and its control device. After the first waste rejection valve acts, waste into the waste rejection valve after excluding effectiveness is monitored, when rejection fails, issue instructions in the next location continue to reject the waste, this makes all cigarette maker’s waste rejection valves can be correlated cascade control. The system failure rate is the product of the failure rates of all the scrap valves. After the online product verification, the results show that the failure rate of the cascade control is only 0.84%, which is significantly lower than that of the single waste rejection valve mode and has a significant promotion effect on quality assurance.

With the increasing number of low-speed electric vehicles in China, their safety performance has been widely concerned. In order to explore the braking safety performance of domestic low-speed electric vehicles, six sample vehicles (including new vehicles and in-service vehicles) of three brands were selected, and the braking performance of the sample vehicles was evaluated through road test and bench test. Firstly, the vehicle braking time, braking distance and braking speed curve are collected by VBOX and portable braking performance tester, and then the wheel braking force is detected by using the counter-force roller braking test bench. According to the comprehensive analysis of the test data, it is determined whether the braking performance of the tested vehicle meets the relevant technical standards. The test results show that some low-speed electric vehicles have obvious deviation and sideslip when braking at medium and high speeds, and their braking directional stability is unqualified, and the causes of vehicle braking deviation and sideslip have been analyzed and determined. The research work in this paper will been of a certain guiding significance for improving the braking safety of low-speed electric vehicles.

In order to solve the problems of small flow and intermittent flow in the filling liquid flow standard facility, a facility pipeline structure which can maintain the pressure stability of the verification pipeline in the process of flow calibration and filling repeatability verification is designed in this paper. At the same time, in order to prove the feasibility of maintaining the pressure stability of the calibration pipeline, the hydrodynamics numerical simulation of the pipeline structure of the facility is carried out.

Aiming at the problem of low control accuracy of aero-engine kinematics, the multidisciplinary coupled dynamics simulation method and reliability modelling method are studied. In this paper, based on the ADAMS software platform, the parametric modelling is proposed for aero-engine guide vane adjustment mechanism of variable geometry turbine, and the parametric model is simulated. The equation of motion for the mechanism is established based on MATLAB and is theoretically analyzed and verified. The result is consistent with the theoretical analysis result, which verifies the correctness of the mathematical model and the simulation model. The dimensional uncertainty caused by machining errors and the effect of component deformation caused by external loads on the vane motion accuracy are considered in this paper. Through the simulation analysis, the key factors affecting the vane motion accuracy can be identified, providing guidance for the establishment of the reliability model. Finally, the reliability of the vane rotation angle is calculated by Monte Carlo method. The method proposed in this paper can be used to improve the reliability design and optimize the structure of the guide vane adjustment mechanism of variable geometry turbine.

With the official proposal of carbon peaking and carbon neutrality goals, new energy vehicles are developing rapidly in my country. Among them, hydrogen fuel cell vehicles are considered as the most promising new energy vehicles because of their good endurance and the ability to produce hydrogen by electrolysis of water using renewable energy. This paper presents a hydrogen fuel cell vehicle based on solar energy hydrogen production technology. In addition to hydrogenation through hydrogenation stations, the car can also use solar power to achieve electrolytic water hydrogen production, further realizing the goal of energy conservation and environmental protection.

Various defects often appear in hydraulic differential circuit design. For example, sometimes the characteristics of load are ignored, sometimes the model selection of system components is ignored, sometimes the pipeline hydraulic resistance of output speed is not fully considered, and sometimes the working state of reversing valve is not paid attention to when the circuit is working. These problems cause the design defects of hydraulic differential circuit. This paper discusses these problems.

Inflatable equipment is needed in the use and maintenance of aircraft, and the usability of inflatable equipment directly affects the maintenance efficiency of aircraft. This paper first introduces the application range of aircraft inflatable equipment, analyzes the principle of the original inflatable equipment and its existing problems. According to the aeration requirement of aircraft airborne equipment, the integrated design scheme of aeration equipment is put forward. In addition, this paper gives the piping design, control valve and pressure gauge selection basis, in order to improve the applicability of aircraft onboard equipment. Finally, this paper points out the future development direction of aircraft inflatable equipment.

When installing power transmission towers in mountainous areas and using large unmanned helicopters to drop steel structure components, there is no need to build roads, which can greatly shorten the erection period of line towers and save transportation costs. For transportation operation has developed a large mountain line tower unmanned helicopter transport system, the system is developed by Beihang university, 500 kg large flying unmanned helicopter as a platform, carrying over-the-horizon autonomous navigation module, wireless image transmission module, electromagnetic lifting on the module, a single flight can carry 200 kg payload into the transportation on the job, without human intervention, reduce mountain flight personnel risk. A successful flight operation was carried out in the mountainous area of Wenzhou, Zhejiang province in December 2019. The results show that the transportation cycle of the tower can be shortened from months to less than a week by using a large, unmanned helicopter to lift the steel structure components in the mountainous area, and the engineering cycle can be greatly shortened, and the transportation cost can be saved.

With the construction and operation of nuclear fusion, spallation neutron source and other large scientific devices, tungsten, as a refractory metal material with excellent properties, has become more and more important. In this paper, the development of spallation neutron sources in the world is introduced, with emphasis on the requirements of spallation neutron sources for tungsten target and its research and development technology. Tungsten target assembly for spallation neutron source in China has innovatively developed tantalum coated tungsten and efficient heat dissipation structure, which has solved the technical problem of heat generation and cooling water corrosion of tungsten target in high-energy particle irradiation and ensured the normal operation of spallation neutron source equipment in China.

With the gradually drastic competition in market, the product family planning is considered an effective way to provide diversity products with large-scale economic benefits. As the commitment of enterprises to their product quality and after-sales additional service, product warranty is increasingly becoming a powerful tool for enterprises to improve competitiveness and expand the market. Although many researchers have studied about product family configuration, product warranty is not fully considered. To this end, this article proposes an optimization method to decide product family configuration and product warranty length in parallel. In addition, the solving method is given to deal with the optimization problem. Finally, the proposed approach is verified through an example.

The StarCraft II game has become the main experimental environment in the field of intelligent combat decision-making, and system dynamics is suitable for macro modeling and simulation of complex systems. This paper proposes a general model of "unified planning-delayed output" supplemented by C language extended external functions to solve the difficulty of system dynamics modeling in the field of combat decision-making, and realize the refined modeling and simulation of StarCraft II, which verified the effectiveness of this method. This paper can lay the foundation for the research of intelligent combat decision-making based on deep reinforcement learning.

Printers have become essential office supplies in daily life, especially in banks and other places. However, most printers in the market need to install fixed drivers, which need to download and install specific drivers, but do not meet the requirements of safety and reliability. Therefore, how to implement the printing system efficiently, safely and reliably is an urgent problem to be solved at present. In embedded system, ARM processor is a popular processor because of its high performance, low power consumption and low cost. At the meantime, the processor can be installed with the Linux operating system, which has the advantages of strong portability, powerful network function and extensive hardware support. Finally, this paper designs and implements the hardware and software of the printing system based on ARM processor and Linux operating system. The final experimental results show that the printing system meets the design requirements. The operation is stable, safe and reliable.

GIS is a new type of substation equipment introduced into power grid construction which combines many components into one device. It is a typical representative of heavy equipment, but it requires higher stability during transportation and installation than others. The indoor space of GIS room is limited, and the ground condition is complex, so it is impossible to use large hoisting and transportation machines and tools. For the installation and transportation of GIS, the traditional manual handling is often inefficient and dangerous, and the traditional indoor crane cannot meet the requirements of GIS. Therefore, the research and development of indoor crane for GIS is needed, so this paper presents a new indoor crane for GIS on the basis of fully considering these requirements.

As a popular bioaerosol remote sensing technology, laser-induced fluorescence lidar technology can realize in-situ, fast, lossless, high temporal and spatial resolution and wide-range bioaerosol remote sensing detection under certain conditions. It provides support for the research of bioaerosol and has been applied in many detection practices. This paper introduces the basic principle of lidar detection, summarizes and lists the development status of lidar system for bioaerosol detection, analyzes it, and finally gives the corresponding conclusions.

With the continuous development of battery technology, the potential of peak-valley arbitrage of customer-side energy storage systems has been gradually explored, and electricity users with high power consumption and irregular peak-valley distribution can better reduce their electricity bills by installing energy storage systems and achieve the maximum use benefit of customer-side energy storage for peak and valley regulation. The simulation results show that the optimization model can reduce the peak-to-valley difference effectively and shift part of the load from the high tariff time to the low tariff time, which can reduce 3.83% of the customer's electricity bill and is economically feasible.

Energy storage systems (ESS) had been developed over the last decade in terms of technologies, costs and applications. As the relatively new participant in the power market, economy of ESS is one of the most concerned issues for asset developers, government decision-makers and market designers. In the paper, a comprehensive method of economic assessment of ESS in power spot market is proposed. On the one hand, societal economic benefit is evaluated in terms of renewable accommodation, market price, electric user payment, etc. On the other hand, economic benefit of developer owned ESS is also assessed in terms of energy revenue, pay-back year. A chronological market simulation model with security constraint unit commitment and economic dispatch is designed to simulate clearing and operation of the power spot market with ESS. The simulated locational marginal price, ESS charging and discharging schedule and other market variables are applied for quantification of the economic indices representing the impact of ESS on the power spot market. A case study using an actual provincial power spot market shows that the proposed method can quantify societal and developer’s economic benefit.

The construction of new power system puts forward a huge demand for the flexible resources of power grid dispatching. Due to the scarcity of flexibility regulation resources in China, the utilization of load-side resources is an effective way to solve this problem, and the corresponding market mechanism is an important guarantee. Frist, the development and practical experience of foreign demand response are systematically analyzed. Then, this paper focuses on the current situation of domestic load side adjustable resources participating in three development paths, including demand response, power auxiliary service market and electricity spot market. By combing the relevant policies, transaction rules and implementation in different provinces, the characteristics of their implementation background, transaction implementation and capital dredging are compared. Furthermore, the key problems and suggestions of load side market design in the future are put forward, to provide reference for provinces which are exploring to develop the load side adjustable resources of participate in market.

This study investigates the PN emission characteristics of direct injection petrol vehicles in Real Driving Emission (RDE) tests using a Portable Emission Measurement System (PEMS). The results of the study show that particulate matter emissions are mainly concentrated in suburban and high-speed conditions, and there is a significant positive correlation between PN emission levels and engine in-cylinder temperature. The higher the speed, the higher the emission level, but rapid acceleration will cause a large amount of particulate emissions in a short period of time. When VSP is above 0 kW/t, the higher the VSP, the higher the PN emission.

In order to realize the sustainable development of "green, low-carbon, safe and efficient" energy, China has put forward the "Double Carbon" target in 2020. New energy projects will usher in a new round of development peak in the "14th Five-year Plan", and a new power system with new energy as the main body is rapidly taking shape. A variety of complementary power generation systems composed of clean energy will reduce the unstable operation of the power grid caused by large-scale new energy projects connected to the power system. This paper analyzes the advantages of the cascade hydro photovoltaic complementation power system from the aspects of the cascade hydro-photovoltaic complementation principle, the characteristics of hydropower station and photovoltaic, the model of the cascade hydro-photovoltaic complementation power system, and the security and stability analysis of the power grid. The analysis results show that the cascade hydropower stations use the cascade reservoirs to improve the hydropower regulation capacity of the basin, so as to improve the power supply quality of the power grid. Taking advantage of the flexibility of cascade hydropower dispatching and rapid adaptation to load changes, photovoltaic projects are developed in the mode of hydro-photovoltaic complementation to reduce the impact of large-scale photovoltaic project access on the stable operation of the power grid.

After the promotion of primary frequency modulation remote test, the network source platform will conduct test regularly every month and analyze the unqualified test. This paper focuses on the phenomenon of unqualified primary frequency modulation test, infers the causes of unqualified primary frequency modulation test, and divides five kinds of problems according to the causes: poor control and regulation quality, slow DEH response, insufficient unit regulation margin, influence of operation mode and poor flow characteristics of regulating valve. This paper gives the corresponding qualitative solutions to the five types of problems.

Accurate evaluation of the utilization efficiency of power grid assets not only helps power grid enterprises to grasp the current status of the assets used now and strengthen the assets management but also helps to improve the quality and efficiency of power grid operation and promote the sustainable development of enterprises. In this paper, an evaluation index list of power grid asset efficiency is established by literature research method and expert interview method. Then, the questionnaire survey method and factor analysis method are used to screen, refine and classify the indicators to form the evaluation index system of the utilization efficiency of power grid assets. The index system includes two first-level indicators, four second-level indicators, and eight third-level indicators, which comprehensively reflect the utilization efficiency of fixed assets and current assets of power grid companies, and it is systematic, concise, and operable. Combining the G1 method, CRITIC method, and matter-element extension method, the G1-CRITIC-MEEM model for evaluating the utilization efficiency of power grid assets is established, which can reflect the status and overall level of all indicators that affect the use efficiency of power grid assets comprehensively. The established model is applied to an example, and the evaluation results obtained are consistent with the actual situation, which verifies the scientific and effectiveness of the model. This provides a new path for the evaluation of the asset utilization efficiency of power grid enterprises.

In this paper, a Bluetooth indoor positioning system based on RSSI fused with LoRa is implemented. The system consists of positioning terminal, multi-mode beacon base station, LoRa communication gateway and positioning scheduling platform for locating people or equipment. An indoor ranging model parameter optimization method is proposed. The RSSI values obtained from the multimode beacon base station are optimized using Gaussian mean filtering method to reduce the indoor ranging errors. For the problem of low accuracy of Bluetooth beacon localization at the present stage, an improved weighted center-of-mass localization algorithm is introduced on the basis of the existing weighted center-of-mass localization algorithm. The effectiveness of the improved weighted center-of-mass localization algorithm is verified using LoRa and Bluetooth localization platforms by narrowing the effective weighting area and selecting better weighted objects to improve the accuracy of the localization algorithm.

The existing 3D object detection networks based on the cross-attention mechanism from the bird's-eye view perspective mostly use the parameters calibrated by the camera to take the features corresponding to project each 3D feature point from the front view feature by projecting the 3D point onto the two-dimensional image. The features obtained by this method are affected by the calibration parameters and the projection position. To reduce the influence of the camera calibration parameters and the accuracy of the projection position on the obtained features, a local feature fusion network is proposed, which fuses the features within a certain range near the projection point to represent the corresponding features of the 3D point, thus improving the feature representation capability. The experimental results on the nuScenes val set show that the NDS value is increased by 1.4% compared with the benchmark. In addition, the network has robustness. Under the same noise, its accuracy reduction rate is reduced by more than 56% compared with the benchmark and has a practical value in automatic driving.

As the problems caused by the global ecological environment become more and more serious, environmental protection has become an important issue in countries all over the world. In order to prevent natural disasters and monitor natural conditions, including monitoring areas affected by deforestation and floods, satellite image segmentation and automatic monitoring of forests and water bodies are becoming more and more important, which leads to the research work of satellite image segmentation in this paper. This paper is a continuation of the previous work of Fw-U-Net, and the model architecture proposed in the previous work still has many shortcomings, such as the design of the basic network architecture and the setting of parameters are not optimal, resulting in the performance cannot be further improved, which means that there are more directions that can be more improved. In the work of this paper, we make more in-depth improvements on Fw-U-Net. Pay attention to the realization of a lot of details and the exploration of the essence. It has been verified that the segmentation verification scores of our upgraded model in forest cover area and water area performance test set are 87.48% (84.51%) and 90.7% (85.83%) respectively, compared with previous work. Increased by 3.11% (0.86%) and 2.71% (0.41%), respectively, and the loss value was reduced to a certain extent. Transfer learning has higher accuracy and reference value for forest and water satellite image segmentation.

In order to understand the relationship between short-circuit impact sound signal and winding deformation of power transformer, this paper carried out transient voiceprint experiment of multiple short-circuit impact of winding. Then, based on this, the winding deformation detection based on BOTDR is discussed, and the frequency spectrum and typical situation of transient voiceprint are analyzed. Finally, a new comprehensive analysis method of transient characteristics is proposed. Through the analysis, it can be seen that this method is accurate and can be applied to the winding state evaluation.

As the main drug original plant, the accurate identification of poppy has become the key to anti-drug work. Compared with other spatial data collection methods, unmanned aerial vehicle (UAV) image collection technology can monitor across regions in real time, and its flexibility can improve the efficiency of anti-drug work. However, the UAV art remains short of contrastive assessment of recent deep architectures for poppy objects in different environments UAV images. In addition, foggy weather is often present during the most detectable flowering period for poppies. The existence of fog has a certain impact on the anti-drug work that may be carried out at any time. At present, there is a lack of data samples of poppy pictures in foggy weather, so it is difficult to proceed on related research, to solve the aforementioned problems. This paper compares the detection and statistics of poppies in UAV images by state-of-the-art deep learning-based target detection algorithms in different weather environments. These algorithms include YOLO series and CenterNet. To this end, this paper collects and produces a poppy dataset of UAV images in two different weather environments. Through extensive experiments, the performance of state-of-the-art target detection algorithm to detect poppy under different weather conditions is evaluated.

In this paper, based on the nonlinearity of the structure, the actuators are arranged at the struts of the antenna structure, and the genetic algorithm is used to design the hierarchical profile control optimization algorithm considering the optimal actuator arrangement and optimal control quantity calculation. The finite element simulation results show that the profile accuracy can be significantly improved by actuator arrangement, and the control range of profile accuracy increases with the increase of actuator arrangement. However, with the increase of the number of actuators, the improvement effect of the profile accuracy gradually decreases. Therefore, the effect of the number of actuators in the range of ten to 25 is better.

In order to colorize grayscale human face image and solve the problems of boundary leakage and detail loss in current colorization algorithms, we propose the dual-scale attention U-Net. First, on the basis of U-Net, we improve the original convolution block and select two convolution kernels of different sizes to extract features, which improves the ability of deep feature extraction for different scales. Second, integrating CBAM into skip connections helps network to focus on salient regions and suppress unnecessary regions while sharing features and reducing information loss. In addition, inspired by the field of image super resolution, MS-SSIM-L1 is adopted as the loss function, and the edge and texture information of the image can be taken into account when coloring. Experiments show that compared with other colorization algorithms, the proposed method not only reduces boundary leakage and detail loss, but also has outstanding performance in colorizing old photos of historical figures.

Aiming at the problems of high target similarity and strong camouflage in the domain-specific, and the traditional image classification technology is difficult to achieve accurate classification, it is proposed to use the deep neural network Resnet50 as the feature extraction network, and combine the attention mechanism and improve it, which can improve the ability of learning effective features; and use depthwise separable convolution to replace standard convolution, which can reduce computational parameters and save computational space. It is verified by experiments that the accuracy of the improved algorithm in this paper is 0.71% higher than that of the Resnet50 prototype, and 0.39 % higher than that of the Resnet50 +SE algorithm model in the image classification of the domain-specific.

The impedance of RF ion source changes during the generation of plasma, and its characteristics are not easy to calculate and measure. In order to feed the power efficiently into the ion source to excite the plasma, this paper proposes a power feeding technique based on FM resonance matching, using multiple sets of RF full-bridge inverter that are easy to quickly adjust the frequency in parallel to improve the power capacity, and using the phase-locked loop to track and correct the voltage and current phase of the power source in real time, so that the circuit can quickly enter the resonant state to achieve impedance matching. Simulation results in PSIM show that the regulation time for the circuit to re-enter the resonant state is about 100us when the impedance of the plasma impedance changes.

The structural strength of traction battery system is analyzed by using the finite element method. The stress or deformation distribution law of the traction battery system is obtained under various working conditions, including modal, vibration, impact, collision and extrusion. The purpose is to assess whether the structural strength of the traction battery system meets the standard requirements. The finite element model for the traction battery system is verified by the experimental results. The results show that the structural strength of the traction battery system meets the requirements, which verifies the rationality of the structural design of the traction battery system. Based on analysis results, the design optimization suggestions of the structure for the traction battery system are put forward.

Quantum state discrimination is one of the most important tasks in quantum information theory and applications. It is the key step of quantum protocols such as teleportation, quantum computing and cryptography. In this paper, we investigate the discrimination of two Bell states, and two GHZ states. Our results can be extended to multipartite entangled states.

As three-core power cables are increasingly used in power distribution networks, the maintenance and overhaul of cable status have been paid more and more attention to. Because of the high risk of construction operations on energized cables, the energization-status identification of cables not only ensures the reliability of power supply in the power system, but also is a strong guarantee for the safety of repair crew. Recently, research has been carried out on energization-status identification of power cables, but the accuracy of identification results cannot be fully guaranteed. In this paper, we propose an energization-status identification method of three-core cables based on annular magnetic sensor array. According to the parameters of cable, an analytical model of surface magnetic field for three-core cable is constructed, which is used to determine the analytical function of inverse problem about the phase currents and magnetic field around the cable. Combined with the position of measurement points, the measured circumferential magnetic field amplitudes are interpolated. The inverse problem is transformed into a multi-objective optimization problem, and the IMODE algorithm is used to reconstruct the phase currents from the measured values to determine the energization-status of cable. In addition, the proposed method is still effective for the cables with three-core arbitrary distribution. Furthermore, an experiment for the energization-status identification of a three-core cable under low-current was carried out in the laboratory to verify the effectiveness of proposed method.

With the continuous development of information technology in my country, the current image detection and tracking technology has been widely used in many industries. Traditional image recognition and tracking technology can only receive and process some simple video and picture content in actual use, which brings certain difficulties to the monitoring work of monitoring personnel, and also aggravates the occurrence of security risks. Applying the surveillance video of image recognition to the target tracking of human motion can achieve real-time monitoring, reduce the occurrence of false negatives and false positives, and at the same time improve the efficiency of video surveillance. Based on this, this research will start from the roughness of the surveillance video of image recognition, analyze the key technology of tracking and detection of human moving objects in surveillance video of image recognition, and provide certain strategies for the development of surveillance video tracking technology of image recognition in my country.

In order to better understand the "black line" fault on the tooth surface of the gear pair, this paper collects about ten months of operating data of the faulty gear pair, analyses its vibration acceleration signal, obtains the modulation characteristics of the meshing frequency and the rotation frequency of the faulty gear from the time domain diagram and spectrum diagram, is able to find the gear tooth surface fault, and verifies the "black line" fault in the gear box endoscope, this characteristic can identify the tooth surface "black line" fault to some extent.

In recent years, the research on acoustic impedance sensing based on Forward Stimulated Brillouin Scattering (FSBS) has made great progress. Here, we propose a method of enhance excitation in multi-point frequency division multiplexing acoustic impedance detection based on FSBS. The external acoustic impedance of different fibers can be distinguished by specific frequency peaks in fibers with different diameters based on the fiber resonance center frequency determined by FSBS. Pulse-modulated light is used to make the pulsed light carry a specific resonance center frequency, so as to directionally enhance the excitation of the corresponding FSBS mode and achieve high-energy transmission. This experiment verifies that the sensor size of 0.6 m can complete the acoustic impedance sensing of multiple locations.

The signal system is the key content of rail transits, and its equipment status evaluation helps to find the hazards of the system in time and ensure the function of the system. In this paper, a comprehensive evaluation indicator system and evaluation model of signal equipment state are established, and a signal equipment state evaluation method based on fuzzy synthetic evaluation is proposed. The applicability of the method is verified by combining with the case analysis. It is expected to provide reference for the ideas and methods in the whole life cycle management process of rail transits.

Human presence detection based on wireless signals in the millimeter wave band was an emerging technology proposed in recent years. The principle was that respiratory vital sign activity when the human body was at rest can cause micro-movements in the thoracic and abdominal cavities or changes in human walking, hand waving, arm swinging and other movements, which in turn had an impact on the reflected signals. Based on this, the analysis of wireless signals could be used to mine the micro-doppler information of the detection target, so as to achieve the detection of human presence. With the popularization and promotion of communication technology, the characteristics of low power consumption, no personal privacy, and "all-weather" make millimeter wave radar more and more popular in smart home application scenarios. This paper focuses on the analysis of Acconeer's PCR10P development board human presence detection for high inverse static object false alarm and proposes a high inverse suppression algorithm based on the target phase. By comparing the original presence detection algorithm of Acconeer's PCR10P development board and its XM/XB112 development board after adding PCA algorithm on this basis and the human presence detection test results of the proposed phase tracking presence detection algorithm and analyzing the advantages and disadvantages of the two optimized algorithms.

Welding automation is an important means to improve welding quality, reduce cost and reduce labor intensity, and real-time tracking of welding seam is an important link to realize welding automation. In this paper, Fuzzy-P control with self-adjusting scale factor is applied to weld tracking according to the actual needs of shielding room welding in civil air defense engineering.

The professional rotation training of substation operation and maintenance integration has been officially launched, mainly for the technical skills improvement education and training of on-the-job employees. When faced with differences in the quality of different provinces, companies and individuals, how to quickly and efficiently complete standardized training in the true sense is a thorny problem that every training company must face. Based on the test scores of 600 students from 26 participating companies in a certain period of 2021, this paper conducts a multi-dimensional in-depth analysis from the fields of practical training projects and key skill items. By constructing the evaluation index of teaching quality, standardizing the data of each index, and then using the radar chart analysis method to evaluate the quality of the integrated training and teaching of general practitioners in the substation operation and maintenance specialty. According to the meaning of the graphic attributes, a comprehensive analysis is carried out on the learning effect of the participating companies and employees, and the advantages and disadvantages of each project of the participating companies and employees are scientifically analyzed, whether the indicators of each dimension are balanced, and whether they are developing towards a benign development.

In order to effectively improve the classification accuracy of hyperspectral images, we propose a classification method based on the combination of dual-channel mixed spectral-spatial features and second-order pooling. Firstly, we use PCA to reduce the dimensionality of the hyperspectral image; secondly, the fused spectral-spatial features are extracted by stacking three dual-channel mixed spectral-spatial residual modules; finally, the second-order pooling is used to fully mine the fused spectral-spatial features, and through the fully connected layer to realize classification. We conduct comparative experiments on Indian Pines and Pavia University datasets, and the overall accuracy of the proposed method respectively reaches 99.17% and 99.74%, which are higher than other classification methods. This verifies the effectiveness of the proposed method classification function.

Traditional campus management is facing problems such as high cost, difficult maintenance, low efficiency, energy waste and so on. The construction of smart campus is the inevitable trend of the development of colleges and universities. Based on the research of intelligent IOT, this paper further integrates the digital twin accurate image and dynamic evolution information modeling technology to build a smart campus management and control cloud platform, so as to reduce costs, reduce energy consumption, improve the utilization of assets and equipment, and make life and learning convenient and comfortable for teachers and students.

In clinical medicine, the liver segmentation is indispensable for the diagnosis of liver diseases. The shape and size of the liver varies in CT images and the similar grayscale values with neighboring organ tissues, which cause difficulties for segmentation. For these problems, we propose a network for the segmentation of liver CT images, which based on encoder-decoder structure. The network applies the SE-Res block instead of the original convolution block to optimize the boundary information and apply the spatial-channel attention gate to enhance the features of the liver in the decoder. The proposed algorithm was validated on the LITS-28 dataset, the Mean Intersection over Union (MIOU) and Dice similarity coefficient (Dice) were 93.68% and 96.45%, respectively. Compared with other similar algorithms, the performance of the proposed algorithm is better and the segmented liver results are more accurate.

The rapid development of computer vision has brought great convenience to remote sensing image processing technology, significantly improved the accuracy of target detection in remote sensing images and saved human effort. However, in the real-time remote sensing detection work, the complex and changeable weather conditions bring great difficulties to the detection. The existing models have shortcomings such as missed detection, slow detection speed, bloated and complex, and large number of parameters. In this paper, we propose a lightweight rapid deployment network framework based on ghostnet improved yolov4. First, ghostnet real-time lightweight extraction is introduced to speed up the search speed and save training costs; secondly, improve the Panet fusion network and add a self-attention mechanism at the up sampling point; use the K++ algorithm to optimize the size of the anchor of the remote sensing image detection target, and finally improve the loss function and add hyperparameters to suppress the imbalance between the target and background categories during training. Experiments show that compared with the original version of YOLOV4mAP in the data set, the mAP is increased by 2.2%, the calculation amount is reduced by 35%, and the FPS is increased by 78%. Therefore, G-YOLOv4 does have better performance in mAP, model size and FPS compared to YOLOV4's mAP, model size and FPS.

Phase Sensitive Optical Time Domain Reflector (φ-OTDR) is widely used due to its characteristics of distributed sensing, high sensitivity, quantitative measurement and fast dynamic response. However, as the sensing distance of the system increases, the reflected optical power of the system decreases gradually, resulting in a decrease in the signal-to-noise ratio of the demodulated signal. In this paper, a Fiber Bragg Grating (FBG) array is used as the sensor, and a fiber Bragg grating array-based φ-OTDR coding system is proposed to eliminate the interference fading of the fiber optic φ-OTDR coding system and improve the signal-to-noise ratio of the system. First, we deduce the codec theory based on fiber Bragg grating φ-OTDR. Then, in the verification experiment, the 32-bit Golay code was used to achieve a signal-to-noise ratio of 33.7 dB at the end of the fiber Bragg grating array with an interval of 15 m and a length of 1 km, which was 6.2 dB higher than that of the single-pulse system.

Traditional construction monitoring is labor-intensive and faces the problems of lengthy calculation cycles and high experience requirements. Oriented by data-driven, a method for pre-bias prediction of cable towers based on model fusion is proposed. First, collect and build an experimental data set containing 125 samples. After data preprocessing, establish SVR and KNN models with initial parameters. And conduct model evaluation after cross-validation and hyperparameter optimization. Second, utilize the mean absolute error (MAE) to define the loss function of the fusion model, and obtain the fusion weight of the weak learner. The weighted average method is used to fuse the SVR and KNN models. The deep integration of SVR and KNN is realized at the model decision level, which further improves the model fitting performance and the reliability of the prediction results. Finally, the performance of each model is evaluated based on the proposed comprehensive evaluation index. The experimental results demonstrate that the SVR and KNN models perform well on tasks with small sample sizes, and the fusion model has an MAE of 1.361, MAPE of 0.149, RMSE of 2.08, and 2 R of 0.997 on the test set. The research method and content have greatly improved the precision and efficiency of the pre-bias control of the tower. Which can be used to improve and extend the existing finite element analysis method.

In view of the poor effect of the current image and character recognition, a research method of end-to-end document image and character recognition based on the differentiable binarization is proposed. Combining the differentiable binarization algorithm to collect and recognize the document image features, an end-to-end document image and character feature extraction algorithm is constructed. Based on the calculation results, the document image is segmented, the regional image features are extracted, and the end-to-end document image and character recognition process is simplified, Finally, the experiment proves that the accuracy of the end-to-end document image and character recognition method based on the differentiable binarization can reach more than 75%, and the overall recognition effect is improved by more than 15% compared with the traditional BFGS method, which meets the research requirements.

In order to realize the effective integration of scattered resources and the exchange and sharing of information, provide one-stop service for the public, and improve the application and management level of e-government, website group should be built. On the basis of analyzing the construction requirements of the website group, the positioning of the geological survey website group is clarified, and three core problems has been resolved in the geological survey website group construction: website information sharing, MVC-based page display, system and information security management, "three intelligent" processes of website group construction are described, and development suggestions for the future work is provided.

In order to study the rail temperature change caused by the linear eddy current brake, aiming at the problem that the nonlinear magnetic conductive material is difficult to be calculated by the theoretical and numerical calculation methods, the finite element model of the linear eddy current brake and the rail is established by using ANSYS workbench simulation platform. The eddy current loss generated inside the rail is calculated in the transient magnetic field simulation, and it is used as the thermal load of the transient temperature field. The temperature field model is calculated by the magnetic-thermal coupling simulation method, and the curve of the temperature of the rail head surface, the curve of average temperature of rail and the distribution of rail temperature are obtained. The curve of average temperature of the rail obtained through the simulation method and the results calculated by the law of energy conservation are compared, the correctness of the simulation model is verified.

Due to the threat of natural disasters such as earthquakes and floods, as well as the influence of the aging of civil engineering structures, the safety of long-term service structures cannot be guaranteed. In order to monitor the working status of structural engineering in real time and capture its damage information, a multi-scale damage identification method based on wireless sensor network is proposed in this paper. Autocorrelation analysis of time series data is carried out through nonlinear autoregressive network with exogenous inputs (NARX) neural network, the overall health of the structure is initially diagnosed locally at the node, and the sensor nodes are divided into different monitoring subnetworks according to the spatial location when the structure is damaged, and the empirical mode decomposition (EMD) method is used. The time-series data were preprocessed to further locate and quantify damage. Experiments show that the method can accurately identify and locate structural damage and can visually represent the amount of structural damage.

Application of knowledge graph in distribution network equipment information (DNEI) management can effectively make the equipment data fusion and form a novel knowledge-oriented maintenance and management model, which has great advantages in terms of semantic retrieval capability and handling complex big data relationships. A Question-Answering System (QAS) is an advanced form of information retrieval computer program, whose development is based on the requirements for fast and accurate access to information. This system can fully understand users’ intentions and answer the questions described by the users in natural language accurately. Thus, this paper proposes a novel knowledge graph based QAS for distribution network equipment information management. Firstly, the QAS processes multi-source heterogeneous data of distribution network equipment based on the Common Information Model (CIM). Secondly, based on the processed data, the ontologies of equipment and equipment containers are constructed to build a schema layer. Thirdly, QAS performs entity learning based on the model in the schema layer and reintegrates the data. Finally, this system uses a graph database to store the processed data, and the knowledge graph is constructed. The established question-answering system based on the knowledge graph can facilitate users retrieving information on distribution network equipment more efficiently and accurately.

In this study, the typical parts of a certain type of automobile aluminum alloy control arm were taken as the research object to address the low product quality of forged control arms. Forge’s finite element analysis and calculation software were combined to optimize the process plan and mold structure, and then trial production was conducted. The macroanalysis and mechanical performance test of the trial production samples showed that after optimizing the process plan and the mold structure, the forging developed good filling properties and exhibited no folding and shrinkage defects. In addition, the heat-treated sample obtained a uniform structure and fine grains.

In recent years, the ablative defect of cable buffer layer is easy to cause the breakdown of cable body, which causes great influence. It is difficult to detect the ablative defect of cable buffer layer by gas chromatography. In this paper, the formation of ablative defect is reproduced through the simulation test, and the characteristic gas in the process of defect formation is collected and analyzed, which demonstrates the effectiveness of the gas chromatography detection technology proposed. The results show that methane (CH4), ethylene (C2H4), ethane (C2H6), acetylene (C2H2), hydrogen (H2), carbon monoxide (CO) and carbon dioxide (CO2) will be produced during the ablation process.