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

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

  • 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
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