Mr. Bin Ma Profile

Bin Ma

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Proceedings Article | 10 August 2023 Paper

Parameter monitoring of electric energy metering system based on Internet of Things technology

Wenjing Fan, Yang Gao, Bin Ma, Chengxin Huo

Proceedings Volume 12748, 1274830 (2023) https://doi.org/10.1117/12.2690049

KEYWORDS: Internet technology, Internet of things, Data transmission, Power grids, Data processing, Transformers, Telecommunications, Data communications, Sensors, Intelligent sensors

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In order to further improve the Internet of Things technology and ensure the ability and effect of the on-line monitoring system for electric energy metering. A parameter monitoring method of electric energy metering system based on Internet of Things technology is proposed. In this paper, the necessity and composition of the transmission line online monitoring system based on the Internet of Things technology are summarized. The sensing layer carries out real-time data exchange by using wireless communication interfaces and controlled devices, or supervises the components of intelligent sensors in a consistent way, and collects the information effectively, and classifies the real-time data into the controller. The network layer communication equipment is used to accurately transmit the collected information to the electric power network system, and it provides further reference for the management of various equipment scheduling. By using different information transmission methods, the unified information can transmit the perceived data to the circuit system, and the data can be classified and processed in a unified way. And all the effective information is collected in the controller for real-time data forwarding; The most important function of the application layer is to further process the information from the network layer, and at the same time, store it in a unified code, and then judge whether there are some faults in the line according to the information. At the same time, the problems existing in the running circuit are concretely speculated by comparing the values of normal operation and variables. With the intelligent development of on-line monitoring system for transmission lines, we need to further expand various technologies such as state sensors, and further establish and improve the intelligent monitoring model for transmission and transformation equipment.

Proceedings Article | 6 April 2023 Paper

Measurement error correction method of electric power meter based on T distribution test

Yihui Wang, Bin Ma, Wenjing Fan, Xi Li

Proceedings Volume 12615, 1261517 (2023) https://doi.org/10.1117/12.2674038

KEYWORDS: Error analysis, Power meters, Equipment, Error control coding, Computer simulations, Tunable filters, Resistance, MATLAB, Interpolation, Signal attenuation

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With the automatic verification of intelligent power meters, manpower is saved and the verification efficiency is improved. However, the large-scale automatic verification method can not meet the parameter ratio specified in the verification regulation because the verification environment is difficult to control. The environmental factors in the verification are difficult to be accurately controlled, which leads to inaccurate verification results. There are a large number of watt-hour meters in the process of centralized verification. If the verification results are not accurate, it will lead to unnecessary economic losses. In this paper, a T distribution test model is established to consider the influence of the heat of the external shunt and the internal power chip on the temperature of the metering chip in different environments. According to the error fitting curve corresponding to the chip, the measurement error of the DC energy meter in different environments is obtained. The formula is imported into MATLAB for simulation analysis to study the factors affecting the accuracy of the metering algorithm. The error formula and influencing factors are derived when the effective value method is adopted in fast charging mode, and the simulation analysis is carried out.

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