• 论文
主办单位:煤炭科学研究总院有限公司、中国煤炭学会学术期刊工作委员会
冲击矿压风险智能判识与监测预警云平台
  • Title

    Cloud platform of rock-burst intelligent risk assessment and multi-parameter monitoring and early warning

  • 作者

    窦林名王盛川巩思园蔡武李小林

  • Author

    DOU Linming1,2 ,WANG Shengchuan1,2 ,GONG Siyuan1,2 ,CAI Wu1,2 ,LI Xiaolin1,2

  • 单位

    中国矿业大学 资源与安全开采教育部重点实验室中国矿业大学 矿业工程学院

  • Organization
    1. Key Laboratory of Deep Coal Resource Mining,Ministry of Education of China,China University of Mining and Technology,Xuzhou  221116,China; 2. School of Mines,China University of Mining and Technology,Xuzhou  221116,China
  • 摘要

    针对制约煤矿安全高效生产愈发严重的冲击矿压问题,为提高冲击矿压监测预警的准确性及针对性,紧跟监测预警技术朝着区域化、连续在线化、智能网络化的发展趋势,基于 GIS 技术、云技术、采矿地球物理等技术,搭建了集成微震、应力、钻屑等多种监测手段的冲击矿压风险智能判识与多参量监测预警云平台。

     该平台由硬件、平台支持软件及云技术 3 个部分组成,采集并以标准化格式存储上传至云服务器,利用内嵌于平台的风险判识模式及危险等级预警准则,判定所评价区域危险状态,通过选取冲击变形能、时序集中度、时空扩散性等 13 个监测预警指标并利用 F-score 法对不同冲击危险程度的指标赋予动态权重,根据各指标与震动、应力、能量间的关系,建立了多场多参量综合预警体系,克服了单一监测指标预警效能较低弊端,实现了由点、局部、单参量监测至区域多场多参量综合预警的转变;同时通过监测数据的信息化与防治措施信息化的融合,将现场监测、防治信息通过“一张图”的形式实时预警,在预警冲击危险性的同时指导现场对高危区域加强卸压解危,同时根据解危效果反馈预警信息准确性,做到了监防互馈,该平台在山东古城煤矿等 13 个矿井成功运用。


  • Abstract

    Aimed at the increasingly serious rock-burst problems restricting the safety and efficient production of coal mines,and in order to improve the accuracy of rock-burst monitoring and early warning,following the continuous online monitoring and early warning technology towards regionalization,and the development trend of intelligent network,and based on GIS, cloud technology, mining geophysical techniques, a cloud platform for intelligent assessment of rock burst and multi-parameter monitoring and early warning has been built with the integration of monitoring methods in- cluding micro-seismic,stress and drilling cuttings. The platform is composed of three parts:hardware,platform support software and cloud technology. It collects and stores the data in a standardized format and uploads them to the cloud server,using the risk recognition mode embedded in the platform and the warning criterion of risk level to determine the risk state of the evaluated area. The platform selects 13 indices,of which the dynamic weights are given by using the method of F-score,and according to the relationship between indices and the seismic and stress,energy,setting up multi-parameter and field comprehensive early warning system. It overcomes the disadvantage of low early-warning effi- ciency of single monitoring index and realizes the transformation from point,local and single parameter monitoring to regional multi-field and multi-parameter comprehensive early-warning. With the information fusion of monitoring data and control measures,the field monitoring,prevention and control information are provided through the “ picture” in the form of a real-time warning. In the early warning of the risk,the site should be guided to strengthen the pressure re- lief and crisis relief in high-risk areas,and the accuracy of early warning information should be fed back according to the crisis relief effect. The platform has been successfully used in the Gucheng coal mine of Shandong province and other 13 coal mines.

  • 关键词

    冲击矿压监测预警云平台监防互馈监防信息“一张图”

  • KeyWords

    rock-burst;monitoring and early warning;cloud platform;monitoring and controlling mutual feed-backs; the “picture” of warning and prevention

  • DOI
  • Citation
    DOU Linming,WANG Shengchuan,GONG Siyuan,et al. Cloud platform of rock-burst intelligent risk assessment and multi-parameter monitoring and early warning[ J]. Journal of China Coal Society,2020,45(6):2248 -2255.
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