中国矿山工程

To address industry pain points such as the difficulty in implementing the dual prevention mechanism for mines, data silos, and insufficient safety management efficiency, and to implement the national policy deployment of strengthening mine safety and promoting intelligence, a mine safety intelligent management and control platform based on the integration of digital twin and AI is proposed. The platform integrates diverse safety data from open-pit mines, underground mines, and beneficiation & metallurgy plants, and constructs a three-layer architecture of “ safety monitoring-scenario safety-system application”; AR equipment enables real-time data collection and visualization, AI safety models conduct risk analysis and early warning, and the mine knowledge base provides historical case and regulatory support to build a decision-making center; key technologies such as deep underground high-precision positioning and mine scenario-adaptive AI recognition are conquered. After the platform is put into operation, it is expected to increase hidden danger identification rate by 30% ~ 40% , reduce accident rate by 25% ~ 35% , and shorten the emergency response time for accidents such as water inrush from the industry average of 45 minutes to within 20 minutes. The platform provides a feasible solution for ultra-deep and ultra-large-scale mines, solves problems such as blind spots in manual inspection, and helps transform safety governance towards pre-event prevention.