Research on the Intelligent Early Warning System for Metal Mine Mining Safety

Abstract

Abstract In order to reduce mine safety accidents and realize safe production, the mine safety early warning system was developed by studying the causes of accidents, using Python as the development language, using Web network technology and database technology. The paper uses the deployment of high-precision sensors and the development of a distributed management information system to realize the real-time collection and online monitoring of the monitoring index data of the metal mine; based on the accurately obtained key indicators such as the deformation displacement, the reservoir water level, and the depth of the infiltration line, it is safe for the metal mine Multi-level early warning and forecasting of risk conditions are implemented. The actual operation of the system shows that the integrated management system can provide decision-making basis for regional safety management.