Mr. Hang Guo Profile

Hang Guo

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Proceedings Article | 23 January 2024 Paper

Research on key technologies of fire fighting UAV

Jingtao Wang, Hang Guo, Na Zhang, Wenjie Hou

Proceedings Volume 12978, 1297816 (2024) https://doi.org/10.1117/12.3020862

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In view of the problems existing in the fire prevention and rescue process, such as low efficiency and accuracy of fire inspection, difficult rescue operation, long operation time of traditional equipment, increasingly complex fire environment and high difficulty in fire area investigation, the research status of key technologies of fire fighting UAV at home and abroad is summarized from three aspects: flight control system, obstacle avoidance technology and fire monitoring and analysis technology. The development trend of firefighting UAVs is predicted as follows: (1) The stable flight control optimization of uAVs in complex fire environment: the size, shape, topography, topology and other basic factors affecting the stability of uAVs are optimized, and the matching of flight control system with the moment of inertia, dynamic redundancy and power system vector control technology of multi-rotor uAVs is improved; (2) Continuous improvement of endurance: through high energy laser and intelligent signal transmission and processing technology, realize the automation of remote energy supply, combined with intelligent visual tracking algorithm, real-time guarantee of UAV signal and laser undertaking; (3) Intelligent obstacle avoidance: multiple methods are combined to solve the obstacle avoidance problem of UAV under different circumstances. In addition, the scene model is established based on digital twin to obtain the best obstacle avoidance route, and the algorithm in the airborne computer is used to obtain the optimal path. (4) Cluster compatibility: The single firefighting UAV cannot adapt to the increasingly complex fire environment. The development of UAV swarm intelligence technology is helpful for the UAV cluster to carry the distributed load to complete the multi-point measurement task that the single drone cannot complete, and provide more accurate measurement data.

Proceedings Article | 8 June 2023 Paper

Railway facilities safety monitoring system based on space-air-ground multi-source data

Aliang Xue, Hang Guo, Na Zhang, Long Miao

Proceedings Volume 12707, 127070M (2023) https://doi.org/10.1117/12.2680915

KEYWORDS: Optical sensing, Safety, Optical fibers, Environmental monitoring, Video, Fiber optics sensors, Data storage, Sensors, Optical fiber cables

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In view of many problems existing in the current railway transportation process, such as pedestrian crossing the guardrail, landslide, rock rolling, debris flow and other factors, this paper summarizes the research status of the underground railway foreign body intrusion monitoring system at home and abroad, and puts forward a railway facility safety monitoring system based on multi-source data from the sky and the sky. The system uses satellite, unmanned aerial vehicle, distributed optical fiber sensor, video, GNSS and GIS technologies to realize the safety monitoring of railway facilities, and formulates the technical scheme for the safety information management of space-based railway facilities, and tests and evaluates the research results through the test section. The development trend of railway facilities safety monitoring system is prospected as follows: foreign body intrusion monitoring at the boundary of key sections; Real-time monitoring of tunnel entrance and high slope section stones; Carry out dynamic monitoring of off-road safety environment.

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