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。
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.
作者
王健
屈世甲
于世雷
WANG Jian;QU Shijia;YU Shilei(China Coal Technology and Engineering Group Changzhou Research Institute,Changzhou 213015,China;Tiandi(Changzhou)Automation Co.,Ltd.,Changzhou 213015,China)
出处
《煤矿安全》
CAS
北大核心
2023年第12期213-219,共7页
Safety in Coal Mines
基金
中煤科工集团常州研究院有限公司科技创新资助项目(2022FY0002)。
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
underground water accumulation goaf
water-blocking coal pillar
data anomaly identification
grading early warning
safety evaluation