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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
煤矿地下积水采空区挡水煤柱分级预警模型研究
  • Title

    Study on classification and early warning model of water-blocking coal pillar in goaf with underground water in coal mine

  • 作者

    王健屈世甲于世雷

  • Author

    WANG Jian;QU Shijia;YU Shilei

  • 单位

    中煤科工集团常州研究院有限公司天地(常州)自动化股份有限公司

  • Organization
    China Coal Technology and Engineering Group Changzhou Research Institute
    Tiandi (Changzhou) Automation Co., Ltd.
  • 摘要

    煤矿地下积水采空区运行状态是井下高效生产工作的基本条件,而挡水煤柱作为直接与水接触的对象,更是潜在的危险因素。为及时了解挡水煤柱内部受力及渗压变化情况,以内蒙某矿42108辅运巷32与33联巷间挡水煤柱为研究对象,设计搭建监测系统,实时采集数据;引入概率论中相关理论和不等式方法,对各传感器进行分类和异常数据判定,建立了单一传感器分级报警方法,能够精准发现异常数据,提高数据异常甄别的准确率;采用矩阵QR分解法和最小二乘法等,同时对钻孔应力和渗压监测数据进行综合分析,建立区间范围,提供基于钻孔应力和渗压监测的综合安全分级方法。研究结果表明:单一测点分级预警和综合分析预警技术方法,能较准确地对挡水煤柱定点区域及整体进行安全评价预警;同时单一测点分级结果都略高于挡水煤柱综合分析预警等级,说明单点区域风险并不决定煤柱整体安全状态,挡水煤柱仍具有较高的可靠运行特性。

  • Abstract

    The operation state of underground water accumulation and mined-out areas in coal mines is the basic condition for underground efficient production work, while the water-blocking coal pillar, as the object directly exposed to water, is a potential hazard factor. In order to understand the internal force and seepage pressure changes in the water-blocking coal pillar in time, we take the water-blocking coal pillar between lane 32 and lane 33 of No.42108 auxiliary transport roadway in Inner Mongolia as the research object, design and set up a monitoring system to collect real-time data; we introduce relevant theories and inequality methods from probability theory into sensor classification and anomaly data determination, establish a single sensor graded alarm method, which can accurately discover anomalies and improve the accuracy of data anomaly screening; we adopt matrix QR decomposition method and least square method, and simultaneously conduct comprehensive analysis on borehole stress and seepage pressure monitoring data, establish interval ranges, and provide a comprehensive safety classification method based on borehole stress and seepage pressure monitoring. The research results show that the single-point graded early warning and comprehensive analysis early warning technology methods can accurately evaluate and early warn the fixed point area and overall safety of the water-blocking coal pillar; at the same time, the single-point graded results are generally slightly higher than the comprehensive analysis early warning level of the water-blocking coal pillar, indicating that risk in a single point does not determine the overall safety status of the coal pillar, and the water-blocking coal pillar still has a high reliable operating characteristics.

  • 关键词

    地下积水采空区挡水煤柱数据异常甄别分级预警安全评价

  • KeyWords

    underground water accumulation goaf;water-blocking coal pillar;data anomaly identification;grading early warning;safety evaluation

  • 基金项目(Foundation)
    中煤科工集团常州研究院有限公司科技创新资助项目(2022FY0002)
  • DOI
  • 引用格式
    王健,屈世甲,于世雷. 煤矿地下积水采空区挡水煤柱分级预警模型研究[J]. 煤矿安全,2023,54(12):213−219
  • Citation
    WANG Jian, QU Shijia, YU Shilei. Study on classification and early warning model of water-blocking coal pillar in goaf with underground water in coal mine[J]. Safety in Coal Mines, 2023, 54(12): 213−219
  • 图表
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    • 挡水煤柱监测安装位置示意图

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