矿山采动沉陷灾害监测平台设计与实现  

Design and Implementation of Mining-Induced Subsidence Disaster Monitoring Platform

作　　者：郑辉 郑灿广 朱明非 谭浩[2,3,4,5] 谢世成 韩雨辰 Zheng Hui;Zheng Canguang;Zhu Mingfei;Tan Hao;Xie Shicheng;Han Yuchen(Yankuang Energy Group Co.,Ltd.,Zoucheng,China;School of Geomatics,Anhui University of Science and Technology,Huainan,China;Urban 3D Real Scene and Intelligent Security Monitoring Joint Laboratory of Anhui Province,Huainan,China;Coal Industry Engineering Research Center of Mining Area Environmental And Disaster Cooperative Monitoring,Anhui University of Science and Technology,Huainan,China;Key Laboratory of Aviation-aerospace-ground Cooperative Monitoring and Early Warning of Coal Mining-induced Disasters of Anhui Higher Education Institutes,Anhui University of Science and Technology,KLAHEI(KLAHEI18015),Huainan,China;School of Earth and Environment,Anhui University of Science and Technology,Huainan,China)

机构地区：[1]兖矿能源集团股份有限公司,山东邹城 [2]安徽理工大学空间信息与测绘工程学院,安徽淮南 [3]城市实景三维与智能安全监测安徽省联合共建学科重点实验室,安徽淮南 [4]安徽理工大学矿区环境与灾害协同监测煤炭行业工程研究中心,安徽淮南 [5]安徽理工大学矿山采动灾害空天地协同监测与预警安徽普通高校重点实验室,安徽淮南 [6]安徽理工大学地球与环境学院,安徽淮南

出　　处：《科学技术创新》2025年第10期88-91,共4页Scientific and Technological Innovation

基　　金：2021年度安徽省重点研究与开发计划:矿山采动沉陷灾害空天地井协同监测分析决策公共服务平台建设,编号:202104a07020014;2021年度安徽省科技重大科技专项:“北斗+”典型地质灾害协同监测与快速预警云平台研发及示范应用,编号:202103a05020026;兖矿能源集团股份有限公司:矿区沉降变形智能化监测预警系统研究及应用,编号:1000B2023000043。

摘　　要：煤炭资源是我国重要的基础能源,矿山开采过程中常伴随采动沉陷灾害,威胁人民生命财产安全。为有效监测和预警矿区沉陷灾害,本研究构建了基于B/S架构的矿山采动沉陷灾害监测平台。该平台整合了北斗、GNSS、遥感等多源数据,采用GIS、Cesium框架、大数据技术以及微服务架构,支持矿区底图二三维可视化、实时监测与预警。研究成果为矿区采动沉陷灾害的监测、预警与管理决策提供了创新的技术手段和实践路径。Coal resources are an important basic energy source in China,and mining activities are often accompanied by ground subsidence disasters,which pose significant threats to people's lives and property.To effectively monitor and provide early warning of subsidence disasters in mining areas,this study developed a mining subsidence disaster monitoring platform based on the B/S architecture.The platform integrates multiple data sources,including Beidou,GNSS,and remote sensing data,and utilizes GIS,Cesium framework,big data technologies,and microservice architecture to support 2D and 3D visualization of mining area base maps,as well as real-time monitoring and early warning.The research findings provide innovative technical methods and practical approaches for monitoring,early warning,and decision-making in mining subsidence disaster management.

关 键 词：煤炭开采 地表沉陷 监测 三维 平台 

分 类 号：P694[天文地球—地质学] TD76[矿业工程—矿井通风与安全]