Construction and Application Research on Intelligent Safety Early Warning Platform for Coal Mines

In view of the pain points of safety management and control such as lagging monitoring of gas, dust, and bracket force-bearing, difficulty in identifying personnel's "three violations" behaviors and others in fully mechanized mining faces of Houcun Coal Mine, an intelligent safety early warning platform with a four layer architecture of "perception - communication - analysis - application" is constructed. The platform integrates intelligent sensing terminals and multi-mode communication technology, integrates extreme value elimination - weighted sliding average filtering algorithm, improves YOLOv5 object detection and skeleton posture estimation model, and is equipped with XG-800 type gas sensor and DSM-5000 type dust sensor to achieve multi-source data collaborative early warning, and the identification accuracy rate of YOLOv5 model reaches 95%. The industrial operation shows that the response time for over limit early warning of typical parameters is shortened from 5.0 min to 1.9 min; Within half a year, accidents and near misses are decreased by 30% and 20% respectively; The problem closed-loop processing rate is improved to 94%, the processing cycle is shortened by 25%, and the annual direct economic benefit is approximately 1.5 million yuan. This research provides an engineering demonstration for the construction of intelligent safety early warning closed-loop management system for high-risk fully mechanized mining faces.