Prof. Guo Hao Profile

Prof. Guo Hao

at State Grid Hunan Transmission & Maintenance Compan

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Proceedings Article | 25 April 2022 Paper

Research on safety monitoring and early warning technology of intelligent auxiliary live working

Guo Hao, Zhigang Wang, Dun Mao, Mingming Qiao, Mingjie Chen

Proceedings Volume 12244, 122442M (2022) https://doi.org/10.1117/12.2635313

KEYWORDS: 3D modeling, Safety, Clouds, Antennas, Laser applications, 3D acquisition

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Aiming at the lack of effective safety distance monitoring means in the live working process, the intelligent auxiliary live working safety monitoring and early warning technology is studied. A real-time live working safety distance monitoring and police method based on 3D point cloud technology and Beidou positioning technology is proposed. Through the unmanned air vehicle equipped with the lidar point cloud data acquisition system and the multi-lens oblique photography sensor, the point cloud data of the tower and line in the live working site are collected to establish the three-dimensional map of the working environment. The laser point cloud technology is used to draw the three-dimensional electronic fence on the three-dimensional map to simulate the early warning area of the working site. The human body positioning model of field workers is established based on multi-antenna Beidou high precision positioning technology. By calculating the distance between the human body positioning model and the boundary of the three-dimensional electronic fence in real time, the safety distance monitoring and early warning of live work are realized. Through the accuracy test on the safety distance monitoring and early warning device tower, it is found that the head and foot positioning accuracy is the highest, and the deviation is kept within 0.16 m. The experimental results verify the accuracy and reliability of the safety distance monitoring and warning system, which can be applied to the actual live operation.

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