Construction of a Microseismic Monitoring System for Ultra-Large-Scale and Deep Mines: A Case Study of the Sishanling Iron Mine

To address the severe geological hazards (e.g., high ground stress and rock burst) that threaten safety and efficiency in ultra-deep mining, this study develops a comprehensive microseismic monitoring system tailored for the Sishanling Iron Mine—a typical ultra-large-scale, ultra-deep mine with an extraction depth exceeding 1500 m. The system integrates high-sensitivity sensors, real-time data transmission, and intelligent processing algorithms. A scientifically designed sensor deployment plan achieves full-coverage of key mining areas, while a multi-level data processing framework encompassing signal acquisition, event detection, location inversion, and magnitude calculation enhances result accuracy. Applied in actual operations, the system effectively captures microseismic events with magnitudes from −2.14 to −1.96, achieving optimal planar and spatial positioning errors of 6.75 m and 9.66 m, respectively. It provides real-time early warning for hazards like rock burst, thereby mitigating risks and ensuring operational continuity. This work offers a practical reference for constructing microseismic systems in similar “double super” mines and enriches the theoretical and technical framework for safety monitoring in deep mining.

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Publication Details

Journal
Mining
Published
2026-01-22
DOI
https://doi.org/10.3390/mining6010005
Primary Topic
Seismology and Earthquake Studies
Type
article
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article

Construction of a Microseismic Monitoring System for Ultra-Large-Scale and Deep Mines: A Case Study of the Sishanling Iron Mine

Xiaodong Wang, Congcong Zhao
Mining
Seismology and Earthquake Studies
article

Construction of a Microseismic Monitoring System for Ultra-Large-Scale and Deep Mines: A Case Study of the Sishanling Iron Mine

Xiaodong Wang, Congcong Zhao
article en

Abstract

To address the severe geological hazards (e.g., high ground stress and rock burst) that threaten safety and efficiency in ultra-deep mining, this study develops a comprehensive microseismic monitoring system tailored for the Sishanling Iron Mine—a typical ultra-large-scale, ultra-deep mine with an extraction depth exceeding 1500 m. The system integrates high-sensitivity sensors, real-time data transmission, and intelligent processing algorithms. A scientifically designed sensor deployment plan achieves full-coverage of key mining areas, while a multi-level data processing framework encompassing signal acquisition, event detection, location inversion, and magnitude calculation enhances result accuracy. Applied in actual operations, the system effectively captures microseismic events with magnitudes from −2.14 to −1.96, achieving optimal planar and spatial positioning errors of 6.75 m and 9.66 m, respectively. It provides real-time early warning for hazards like rock burst, thereby mitigating risks and ensuring operational continuity. This work offers a practical reference for constructing microseismic systems in similar “double super” mines and enriches the theoretical and technical framework for safety monitoring in deep mining.

MiningVol. 6(1)
China Academy of Safety Sciences and Technology (CN), Jiangxi Copper (China) (CN), University of Science and Technology Beijing (CN)
Openalex Percentile: Top 80%
Seismology and Earthquake Studies
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