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Optimization and Numerical Verification of Microseismic Monitoring Sensor Network in Underground Mining: A Case Study

Author

Listed:
  • Chenglu Hou

    (School of Resources and Safety Engineering, Central South University, Changsha 410083, China
    Sanshandao Gold Mine, Shandong Gold Min Laizhou Co., Ltd., Laizhou 261442, China)

  • Xibing Li

    (School of Resources and Safety Engineering, Central South University, Changsha 410083, China)

  • Yang Chen

    (School of Resources and Safety Engineering, Central South University, Changsha 410083, China)

  • Wei Li

    (Sanshandao Gold Mine, Shandong Gold Min Laizhou Co., Ltd., Laizhou 261442, China)

  • Kaiqu Liu

    (Sanshandao Gold Mine, Shandong Gold Min Laizhou Co., Ltd., Laizhou 261442, China)

  • Longjun Dong

    (School of Resources and Safety Engineering, Central South University, Changsha 410083, China)

  • Daoyuan Sun

    (School of Resources and Safety Engineering, Central South University, Changsha 410083, China)

Abstract

A scientific and reasonable microseismic monitoring sensor network is crucial for the prevention and control of rockmass instability disasters. In this study, three feasible sensor network layout schemes for the microseismic monitoring of Sanshandao Gold Mine were proposed, comprehensively considering factors such as orebody orientation, tunnel and stope distributions, blasting excavation areas, construction difficulty, and maintenance costs. To evaluate and validate the monitoring effectiveness of the sensor networks, three layers of seismic sources were randomly generated within the network. Four levels of random errors were added to the calculated arrival time data, and the classical Geiger localization algorithm was used for locating validation. The distribution of localization errors within the monitoring area was analyzed. The results indicate that when the arrival time data are accurate or the error is between 0% and 2%, scheme 3 is considered the most suitable layout; when the error of the arrival time data is between 2% and 10%, scheme 2 is considered the optimal layout. These research results can provide important theoretical and technical guidance for the reasonable design of microseismic monitoring systems in similar mines or projects.

Suggested Citation

  • Chenglu Hou & Xibing Li & Yang Chen & Wei Li & Kaiqu Liu & Longjun Dong & Daoyuan Sun, 2024. "Optimization and Numerical Verification of Microseismic Monitoring Sensor Network in Underground Mining: A Case Study," Mathematics, MDPI, vol. 12(22), pages 1-14, November.
    • Handle: RePEc:gam:jmathe:v:12:y:2024:i:22:p:3500-:d:1517360
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