煤矿安全2025，Vol.56Issue(12)：69-78,10.DOI:10.13347/j.cnki.mkaq.20250323
煤与瓦斯突出危险微震时频参量响应特征研究
Study on response characteristics of micro-seismic time-frequency parameters of coal and gas outburst hazards
摘要
Abstract
In order to realize the real-time monitoring,prediction and early warning of coal and gas outburst danger in coal roadway heading face,Malan Mine has installed and deployed the KJ1521 coal and gas outburst prediction and early warning system,and we carried out the research on the difference distribution of time-frequency domain parameters of micro-seismic signals under different scenarios and outburst danger response characteristics.The results show that under normal monitoring,there are differences in the quantitative distribution of time-frequency domain parameters of micro-seismic signals in different regions,but the qualitative laws are basically the same.The time-frequency domain parameter distributions of micro-seismic signals in special scenarios such as mi-cro-seismic sensor movement,non-vertical installation of sensor and sensor short circuit correspond to low and high value anomalies of waveform amplitude and duration,low value anomalies of rise time,and low value anomalies of peak frequency 50 Hz and below,respectively;the reasonable threshold range set for the time-frequency domain parameters of the micro-seismic signal can effectively filter out the noise signal caused by the abnormal state of the sensor,and improve the accuracy of the response of the micro-seismic signal to coal and gas outburst.When the coal roadway heading face encounters fault structure,the rise time mean and duration mean of effective micro-seismic signal show high value anomaly,the amplitude mean shows local high value fluctuation,and the peak fre-quency mean shows low value anomaly.The average amplitude,rise time,duration and peak frequency of micro-seismic signals show the precursory characteristics of high value anomaly when the roadway is excavated through stress concentration area.关键词
煤与瓦斯突出/微震信号/传感器状态/时频域参量/噪声滤除/危险响应Key words
coal and gas outburst/micro-seismic signal/sensor statu/time-frequency domain parameters/noise filtering/hazard re-sponse分类
矿业与冶金引用本文复制引用
ZHU Nannan,SHU Longyong,LI Yang,WANG Guochi,LI Chuanchuan,LIU Zhengshuai..煤与瓦斯突出危险微震时频参量响应特征研究[J].煤矿安全,2025,56(12):69-78,10.基金项目
国家自然科学基金资助项目(52174187,52130409) （52174187,52130409）
煤炭科学技术研究院有限公司技术创新基金资助项目(2023CX-I-04) （2023CX-I-04）
