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基于GIS与大数据分析的矿压监测预警平台 被引量:5

Mine Pressure Monitoring and Early Warning Platform Based on GIS and Big Data Analysis
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摘要 为响应国家关于加快煤矿智能化发展的号召,针对煤矿GIS“一张图”中巷道路径不能实现精确计算,矿压数据不能实现高效甄别、有效提取的问题,以及矿压预警需要实现在线推演、可视化展示的需求,提出建立基于GIS与大数据分析的矿压监测预警平台。采用GIS“一张图”、巷道结点-路径拓扑算法、多源异构监测数据处理技术、矿压大数据分析技术,搭建成能够实现矿井下复杂情况切实反映、矿压监测数据有效提取、采掘风险在线预测、可视化程度高的矿压监测预警平台。通过在李雅庄矿的实际应用,表明该系统运行稳定可靠,可有效提升煤矿的矿压风险监测预警。 In response to the national call to accelerate the intelligent development of coal mines,and in response to the problems of inaccurate calculation of roadway paths in the"one map"of coal mine GIS,efficient identification and extraction of mining pressure data,and the need for online deduction and visual display of mining pressure warning,it is proposed to establish a mining pressure monitoring and warning plaform based on GIS and big data analysis.By using GIS"one map",roadway node path topology algorithm,multi-source heterogeneous monitoring data processing technology,and mining pressure big data analysis technology,a mining pressure monitoring and early warning platform can be built that can effectively reflect complex underground situations,extract mining pressure monitoring data,predict mining risks online,and have a high degree of visualization.Through practical application in Liyazhuang mine,it has been shown that the system operates stably and reliably,and can effectively improve the monitoring and warning of mine pressure risks.
作者 马长青 杨清源 种自强 尤天宸 马鹏飞 李先兴 宋晓杰 卢天壮 MA Changqing;YANG Qingyuan;CHONG Ziqiang;YOU Tianchen;MA Pengfei;LI Xianxing;SONG Xiaojie;LU Tianzhuang(Intelligent Equipment College,Shandong University of Science and Technology,Tai'an 271019,China;Production Technology Department,Liyazhuang Mine,Shanxi Coking Coal Huozhou Coal Power,Linfen 031400,China)
出处 《煤炭技术》 CAS 2024年第1期124-128,共5页 Coal Technology
基金 国家自然科学基金项目(52104092) 山东省自然科学基金项目(ZR2020QE120) 泰安市科技创新发展项目(2021GX054)。
关键词 GIS 大数据分析 监测预警平台 在线推演 可视化展示 GIS big data analysis monitoring and early warning platform online deduction visual presentation
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