Research on the Technological Path of Digital and Intelligent Empowerment for Mine Safety Management
数智化赋能矿山安全管理的技术路径研究

摘要

为解决传统矿山安全管理中风险辨识滞后、监测精度不足、应急响应低效等核心痛点，以工业互联网、人工智能、物联网等新一代信息技术为支撑，构建“感知→传输→分析→决策→控制”的全链条技术路径。通过整合多源感知设备、优化数据传输网络、构建智能分析模型、研发综合管控平台，实现矿山安全风险的精准辨识、实时监测、智能预警与高效处置。基于模型仿真的预期效能分析表明，该技术路径可使人员定位精度达亚米级，微震事件分类准确率超95%，隐患整改响应时间缩短60%，显著提升矿山安全管理的智能化水平与本质安全能力。

Abstract

To address core pain points in traditional mine safety management, such as lagging risk identification, insufficient monitoring accuracy, and inefficient emergency response, this paper, supported by a new generation of information technologies including the industrial internet, artificial intelligence, and the Internet of Things, constructs a full-chain technological path of “perception → transmission → analysis → decision-making → control.” By integrating multi-source sensing devices, optimizing data transmission networks, building intelligent analytical models, and developing an integrated management and control platform, the proposed approach enables precise identification, real-time monitoring, intelligent early warning, and efficient handling of mine safety risks. Based on the expected performance analysis derived from model simulation, this technological path can achieve sub-meter personnel positioning accuracy, a classification accuracy of over 95% for microseismic events, and a 60% reduction in response time for hazard rectification, thereby significantly enhancing the intelligent level of mine safety management and the intrinsic safety capability of mines.