China Safety Science Journal ›› 2021, Vol. 31 ›› Issue (S1): 19-23.doi: 10.16265/j.cnki.issn 1003-3033.2021.S1.004

• Safety social science and safety management • Previous Articles     Next Articles

Research on safety management of coal preparation plants based on artificial intelligence video analysis

ZHAO Liang, SUN Kuiyuan, HAN Baohu, AN Wenli, LI Guoqiang   

  1. Baorixile Energy Co., Ltd., CHN Energy, Hulunbuir Inner Mongolia 021025, China
  • Received:2021-09-10 Revised:2021-11-18 Online:2021-12-30 Published:2022-06-30

Abstract: In order to improve intelligent safety monitoring in coal preparation plants, and to reduce manpower consumption, an AI video analysis system for safety management was developed by using deep neural network. Firstly, deep neural network algorithm was designed to detect and analyze video targets in typical scenes in real time, and a monitoring and early warning management system was established. Then, video security early warning mechanism for human, machines, and environment was developed for video analysis of workers' unsafe behaviors at the plants, video identification of unsafe conditions of objects, and video judgments of environmental hazards. The results show that the system can realize timely warning to eliminate potential safety hazards through acquisition, processing and feedback of human, machine, and environmental information, and improve safety factor of operation process.

Key words: artificial intelligence (AI), video analysis, coal preparation plants, safety management, deep learning

CLC Number: