Application Research of Microseismic Monitoring Technology in Coal Mine Excavation Face

To address dynamic hazards such as coal and gas outbursts and rockbursts during deep mining, this study takes a certain Coal Mine as the research subject. A mine-wide microseismic monitoring network was established using the Polish SOS microseismic monitoring system. By collecting, transmitting, and processing microseismic data in real time, the spatiotemporal distribution characteristics of microseismic events were analyzed. A dynamic hazard early warning model was developed based on the microseismic data, and targeted prevention measures were formulated in combination with the warning model. The results show that: Real-time microseismic monitoring and early warning effectively detected and mitigated multiple potential dynamic hazards. The early warning model provided sufficient time for the implementation of preventive measures. And the targeted prevention measures significantly improved mine safety and production efficiency. Practical applications demonstrate that this research has high practical value and broad applicability.

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Publication Details

Journal
Scientific Journal of Technology
Published
2025-06-20
DOI
https://doi.org/10.54691/2hryc617
Primary Topic
Geoscience and Mining Technology
Type
article
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article

Application Research of Microseismic Monitoring Technology in Coal Mine Excavation Face

Bing Li
Scientific Journal of Technology
Geoscience and Mining Technology
article

Application Research of Microseismic Monitoring Technology in Coal Mine Excavation Face

Bing Li
article en

Abstract

To address dynamic hazards such as coal and gas outbursts and rockbursts during deep mining, this study takes a certain Coal Mine as the research subject. A mine-wide microseismic monitoring network was established using the Polish SOS microseismic monitoring system. By collecting, transmitting, and processing microseismic data in real time, the spatiotemporal distribution characteristics of microseismic events were analyzed. A dynamic hazard early warning model was developed based on the microseismic data, and targeted prevention measures were formulated in combination with the warning model. The results show that: Real-time microseismic monitoring and early warning effectively detected and mitigated multiple potential dynamic hazards. The early warning model provided sufficient time for the implementation of preventive measures. And the targeted prevention measures significantly improved mine safety and production efficiency. Practical applications demonstrate that this research has high practical value and broad applicability.

Scientific Journal of TechnologyVol. 7(6)
Openalex Percentile: Top 83%
Geoscience and Mining Technology
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