Intelligent Remote Video and Image Recognition Technology Applied in Coal Mine Risk Assessment

At present, the production environment underground in coal mines is complex, with a wide variety of equipment types and complex structures, and a lack of root cause analysis of unsafe equipment states. This paper aims to introduce the causal scientific theory into the intelligent management system of the mechanical and electrical equipment of coal mine, focusing on the use of intelligent remote video and image recognition technology. The research on fault warning, identification control and predictive maintenance of key equipment in coal mine (taking belt conveyor as an example) is carried out in order to provide reference for improving the safety of mechanical and electrical equipment in coal mine and reducing the failure rate of equipment.