Integrated safety management system based on intelligent analysis of thousand eyes video

In response to the weak personnel safety management and relatively low integration with intelligent control systems in the current intelligent development process of the coal mining industry, a comprehensive safety management system based on “thousand eyes” video surveillance analysis has been const...

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Bibliographic Details
Main Authors: Wangcong DANG, Bo DONG, Jiani QIAO, Wen LEI, Ganggui FENG
Format: Article
Language:zho
Published: Editorial Office of Safety in Coal Mines 2024-12-01
Series:Meikuang Anquan
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Online Access:https://www.mkaqzz.com/cn/article/doi/10.13347/j.cnki.mkaq.20240378
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Summary:In response to the weak personnel safety management and relatively low integration with intelligent control systems in the current intelligent development process of the coal mining industry, a comprehensive safety management system based on “thousand eyes” video surveillance analysis has been constructed. The system architecture and advantages were introduced, with a focus on the functional modules of “thousand eyes” big data safety analysis and decision-making, “thousand eyes” AR+AI augmented reality intelligent scene analysis, big data intelligent risk control analysis, “thousand eyes” intelligent video platform, AR+AI augmented reality intelligent scene analysis, device intelligent control linkage protection decision-making, and comprehensive safety management. The comprehensive safety management system based on the “thousand eyes” video surveillance analysis is based on a distributed microservice architecture application system. With the help of AI intelligent recognition technology and AR augmented reality technology, it has formed a standardized gradient management mode process of “image capture, information recognition, platform warning+background recording, remote warning+linkage control”, which unifies and efficiently manages equipment operation and production, effectively avoids potential dangers and safety hazards, and maximizes the efficient operation of underground equipment and personnel safety.
ISSN:1003-496X