首页|全类型重大灾害监测预警系统架构——以宁煤麦垛山煤矿为例

全类型重大灾害监测预警系统架构——以宁煤麦垛山煤矿为例

扫码查看
原文链接
  • NETL
  • NSTL
  • 万方数据
现有煤矿重大灾害监测预警技术多针对单一灾害类型,缺乏多种灾害间的数据融合、数据互通.为解决各类监控与预警系统孤立、分散,缺乏各类监测和报警信息融合问题,以宁煤麦垛山煤矿为例,系统阐述了全类型重大灾害监测预警系统的构建模式、搭建路线.在动态采集矿井水、火、矿压等监测检测数据、空间图形数据及各专业灾害预警指标结果的基础上,建立矿井综合安全态势风险评判指标体系与预警模型.该系统能综合信息运算并制定适用于矿井的预警规则,为灾害防治决策提供集成管理与可视化分析平台.此外,还建立了多因素融合预警模型,研发了多因素融合预警软件系统,实现了主要灾害融合多因素耦合和融合分析预警,为矿井提供了综合评估安全态势智能管理平台.
Architecture of monitoring and early warning system for all types of major disasters:Taking Maiduoshan Coal Mine in Ningmei as an example
The existing monitoring and early warning technologies for major disasters in coal mines are mostly aimed at a single disaster type,and lack data fusion and data exchange between multiple disasters.In order to solve the problem of isolation and dispersion of vari-ous monitoring and early warning systems and the lack of integration of various monitoring and alarm information,the construction mode and route of all types of major disaster monitoring and early warning systems were systematically expounded by taking a certain mine in Ningmei as an example.Based on the dynamic collection of mine water,fire,mine pressure monitoring and detection data,spatial graphic data and the results of early warning indicators of various professional disasters,a comprehensive safety situation risk evaluation index system and early warning model of mines were established.The system can synthesize information computation and formulate early warn-ing rules applicable to mines,and provide an integrated management and visual analysis platform for disaster prevention and control de-cisions.In addition,a multi-factor fusion early warning model was established,and a multi-factor fusion early warning model was devel-oped to realize the fusion of multi-factor coupling and fusion analysis early warning of major disasters,providing an intelligent manage-ment platform for comprehensive assessment of the safety situation of mines.

major coal mine disasterdata monitoringfusion early warningdata management platformintelligent system framework

李慎君、沈伟、李明建、覃木广、宋志强、杨宇

展开 >

国家能源集团宁夏煤业有限责任公司麦垛山煤矿,宁夏银川 750408

中煤科工集团重庆研究院有限公司,重庆 400039

煤矿灾害防控全国重点实验室,重庆 400037

煤矿重大灾害 数据监控 融合预警 数据管理平台 智能系统架构

国家重点研发计划资助项目天地科技股份有限公司科技创新创业资金专项重点项目重庆院创新引导项目

2018YFC08083052023-TD-ZD001-0052022YBXM48

2024

10.19389/j.cnki.1003-0506.2024.09.010

能源与环保
河南省煤炭科学研究院有限公司 河南省煤炭学会

能源与环保

CSTPCD
影响因子：0.221
ISSN：1003-0506
年,卷(期)：2024.46(9)