自动化应用2024,Vol.65Issue(14) :134-136,170.DOI:10.19769/j.zdhy.2024.14.043

煤矿开采工作面微震实时监测及特征分析

Real-Time Monitoring and Characterization of Microseismic in Coal Mining Working Face

牛武军
自动化应用2024,Vol.65Issue(14) :134-136,170.DOI:10.19769/j.zdhy.2024.14.043

煤矿开采工作面微震实时监测及特征分析

Real-Time Monitoring and Characterization of Microseismic in Coal Mining Working Face

牛武军1
扫码查看

作者信息

  • 1. 灵石县应急管理局,山西 晋中 031300
  • 折叠

摘要

高冲击地压煤矿开采过程中极易发生安全生产事故,严重制约了煤炭资源的开发.而微震监测技术能够有效反映围岩破坏特征,为煤矿生产提供预警.利用IMS微震监测系统实时监测马口煤矿工作面的变形和破坏,研究了微震事件率、视体积、能量指数、Schmidt数、b值和地震响应系数等微震参数的变化过程及其与围岩破坏的关系.研究表明,部分参数在大规模破坏前具有明显预兆,根据上述参数划分预测精度,Schmidt数的预测灵敏度最高,b值次之,能量指数第三.

Abstract

High impact ground pressure coal mining is highly susceptible to production safety accidents,which seriously restricts the development of coal resources.Microseismic monitoring technology can effectively reflect the damage characteristics of the surrounding rock and provide early warning for coal mine production.The IMS microseismic monitoring system was used to monitor the deformation and damage of the working face of the Makou coal mine in real time,and the change process of microseismic parameters such as microseismic event rate,apparent volume,energy index,Schmidt number,b-value and seismic response coefficient and their relationship with the damage of the surrounding rock were studied.It is shown that some of the parameters have obvious precursors before large-scale damage,and the prediction accuracy is divided by the above parameters,with Schmidt number having the highest prediction sensitivity,b-value the second and energy index the third.

关键词

微震监测/马口煤矿/采煤工作面

Key words

microseismic monitoring/Makou coal mine/coal mining working face

引用本文复制引用

出版年

2024
自动化应用
重庆西南信息有限公司

自动化应用

影响因子:0.156
ISSN:1674-778X
段落导航相关论文