煤矿安全监控系统研究现状与展望  

Research status and prospects of coal mine safety monitoring system

作　　者：邓飞 DENG Fei(State Key Laboratory of Coal Mine Disaster Prevention and Control,Chongqing 400037,China;CCTEG Chongqing Research Institute,Chongqing 400039,China)

机构地区：[1]煤矿灾害防控全国重点实验室,重庆400037 [2]中煤科工集团重庆研究院有限公司,重庆400039

出　　处：《矿业安全与环保》2025年第1期14-19,29,共7页Mining Safety & Environmental Protection

基　　金：中国煤炭科工集团科技创新项目(2023-TD-ZD001-005);新疆维吾尔自治区第三批重点研发任务专项-厅厅、厅地联动项目(2022B03031-3)。

摘　　要：回顾了我国煤矿安全监控系统的发展历程,系统地阐述了现有安全监控系统感知、传输与应用软件相关关键技术的研究进展。针对煤矿安全生产新需求和技术发展趋势,提出了新一代云边端煤矿安全数智化监控系统架构,该架构明确了系统端侧应具备多模精准感知,边缘侧实现区域风险就地判识与管控,云端负责全矿井智能监测预警。探讨了灾害数字孪生、面域化全息感知、全IP传感网构建、多模态学习、同步仿真、风险分析与处置等关键技术的发展方向,为煤矿安全智能化水平的提升提供了新思路。This study reviews the development history of China’s coal mine safety monitoring systems and systematically elaborates research progress on key technologies related to perception,transmission,and application software in existing safety monitoring systems.In response to emerging demands for coal mine safety production and technological development trends,a novel cloud-edge-end intelligent and digital monitoring system architecture is proposed.This framework specifies that the edge side of the system should achieve multi-modal accurate perception,the edge layer should enable localized regional risk identification and control,and the cloud layer should be responsible for intelligent monitoring and early warning across the entire mine.The study explores future directions for critical technologies such as disaster digital twin modeling,area-wide holographic perception,full-IP sensor network construction,multi-modal learning,synchronized simulation,and risk analysis and mitigation.These advancements provide new insights for enhancing the intelligent level of coal mine safety.

关 键 词：煤矿 安全监控系统 全息感知 数字孪生 灾害模拟 多模态学习 隐患风险判识 

分 类 号：TD76[矿业工程—矿井通风与安全]