• 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
区域和局部突出危险性动态实时监测预警技术研究
  • Title

    Study on real time dynamic monitoring and early warning technology of regional and local outburst danger

  • 作者

    宋大钊何学秋邱黎明赵英杰程肖禾王安虎

  • Author

    SONG Dazhao,HE Xueqiu,QIU Liming,ZHAO Yingjie,CHENG Xiaohe,WANG Anhu

  • 单位

    北京科技大学土木与资源工程学院

  • Organization
    School of Civil and Resource Engineering,University of Science and Technology Beijing
  • 摘要

    为实现煤与瓦斯突出灾害的准确监测预警,将微震监测技术、震动波CT技术与声电瓦斯监测技术应用于煤与瓦斯突出矿井,分析了微震信号的时空演化特征规律,研究了震动波CT与应力异常、突出预兆、采掘工程的关系,深入挖掘了掘进期间的电磁辐射、声发射、瓦斯等监测数据的时空演化规律,建立了预警准则统一、预警指标统一、预警临界值统一的综合集成高可靠性预警方法,最终形成了逐级聚焦的突出危险区域-局部动态实时监测预警方法技术,并开展了煤岩动力灾害监测预警云平台的应用。结果表明:基于微震监测以及震动波速反演得到的区域应力场结果,可以预测采掘强扰动区、应力集中区,地质异常区共同组成的煤与瓦斯突出危险区,实现了突出危险区域预测;声发射12 h偏差值DA、声发射偏离异常频次N、电磁辐射24 h偏差值DE、电磁辐射偏离异常持续时间h、瓦斯涌出量Q、瓦斯涌出变化率I等指标对突出危险具有较好的响应,可进行局部突出危险预警。突出危险区域-局部动态实时监测预警技术首先通过微震动态监测区域动载扰动信息,结合震动波CT探测区域应力场的分布特征,初步划定突出危险煤层危险区域,随后集成电磁辐射、声发射、瓦斯等多参量综合监测实现突出危险的局部即时预警。

  • Abstract

    In order to realize the accurate monitoring and early warning of coal and gas outburst disaster,the microseismic monitoring technology,seismic wave CT technology and acoustic electric gas monitoring technology are applied to coal and gas outburst mineThis paper analyzes the space-time evolution characteristics of microseismic signals,studied the vibration wave CT and abnormal stress,highlight the omen,mining engineering,the relationship between dig deep during the excavation of electromagnetic radiation,such as acoustic emission,gas monitoring data of space and time evolution rule,set up warning principles unified,early warning indicators,early warning threshold unified integrated high reliability method,finally formed step by step the focus highlight the danger zone-local dynamic real-time monitoring and early warning method,and carried out the application of coal and rock dynamic disasters monitoring and early warning cloud platform The comprehensive integrated early warning method of microseismic,seismic wave CT,electromagnetic radiation,acoustic emission,gas and other monitoring data is established,and finally the outburst risk area local dynamic real-time monitoring and early warning method technology is formed,and the coal and rock dynamic disaster monitoring is carried out The application of early warning cloud platform The results show that: based on the regional stress field results obtained by microseismic monitoring and seismic wave velocity inversion,the coal and gas outburst risk area composed of mining strong disturbance area,stress concentration area and geological anomaly area can be predicted,and the outburst risk area prediction can be realized; acoustic emission 12 h deviation DA,acoustic emission deviation anomaly frequency N,electromagnetic radiation 24 h deviation value DE,electromagnetic radiation deviation abnormal duration h,gas emission Q,gas emission change rate I and other indicators have good response to the outburst risk,which can be used for local outburst risk early warning Highlight the danger zone - local dynamic real-time monitoring and early warning method,first of all,through seismic dynamic load disturbance information dynamic monitoring area,combining with the vibration wave CT detecting the distribution features of the regional stress field,preliminary defined highlight the danger of coal seam area and then integrated electromagnetic radiation,acoustic emission,gas parameters comprehensive monitoring to achieve outstanding local real-time warning of danger

  • 关键词

    煤与瓦斯突出多指标融合区域预测局部预警

  • KeyWords

    coal and gas outburst; multi index fusion;regional forecast; local early warning

  • 基金项目(Foundation)
    国家自然科学基金资助项目(51774023,52004016)
  • 文章目录

    0 引言

    1 突出危险区域动态预测方法

       1.1 试验区与微震系统

       1.2 微震事件空间分布特征

       1.3 区域应力场震动波CT反演分析

       1.4 突出危险区域预测准则

    2 突出危险局部多参量集成预警方法

       2.1 声电瓦斯系统及其布置介绍

       2.2 局部多参量集成监测预警模型

       2.3 突出危险多参量集成监测预警模型应用

    3 区域-局部突出危险性动态实时监测预警技术

    4 煤岩动力灾害监测预警云平台

    5 结论

  • 引用格式
    宋大钊,何学秋,邱黎明,等.区域和局部突出危险性动态实时监测预警技术研究[J].煤炭科学技术,2021,49(5):110-119.
    SONGDazhao,HE Xueqiu,QIU Liming,et al.Study on real time dynamic monitoring and early warning technology of regional and local outburst danger[J]Coal Science and Technology,2021,49(5):110-119.
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