Research on Multi-source Data Fusion Intelligent Monitoring and Dynamic Early Warning System for Coal Mine Mining and Excavation Device

In view of the existing problems of incomplete coverage and untimely early warning in the monitoring system of mining and excavation device in coal mine safety evaluation work, an intelligent monitoring and early warning system based on IoT is developed. Through evaluating safety risks, a monitoring scheme covering key parameters such as vibration, temperature, air pressure and others is formulated, and an intelligent monitoring index system for safety evaluation is established; Combined with the experience of safety evaluation, a risk evaluation model for equipment fault is designed, and an analysis of safety status for core devices such as shearer, roadheader and others is achieved. The overall early warning accuracy rate of this system reaches 88% (with an early warning accuracy rate of equipment fault of 77.2%, an early warning accuracy rate of equipment status of 92.3%), the fault response time is shortened from 5.2 hours to 0.8 hours, with a reduction of 84.6%, and the equipment availability rate is improved by 5.8 percentage points to 95.0%. The system assists in completing 32 times of equipment safety evaluation, identifies and early warns 6 times of potential hidden dangerous, and the equipment safety accident rate is reduced by 15% year-on-year, providing a effective support for coal mine safety production.