矿山环境地质风险智能感知与动态决策技术研究OA

With the continuous development of the social economy,mining is moving towards deeper areas,and its environmental geological risks exhibit multi-source and dynamic characteristics,directly affecting safety production.Based on this,this article takes a metal mine in Hubei Province as an example,integrates intelligent sensing,Internet of Things,and spatial decision support technologies,and designs an intelligent perception and decision support system for mining environmental geological risks.By constructing a multi-dimensional perception network that integrates land and ground,key parameters such as rock movement,water quality,and ground pressure can be collected in real time;Based on the combination weighting extension model and GIS platform,multi disaster coupling risk assessment and dynamic simulation are carried out,ultimately forming a risk grading warning and intelligent disposal decision-making scheme.From the application results,it can be seen that the system can achieve a 35%increase in risk identification accuracy and a 40%reduction in emergency response time,which is conducive to achieving environmental safety and green mining goals in deep metal mines.