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This paper addresses the issues of unknown geological information, low trajectory monitoring accuracy, and high safety risks during underground drilling in coal mines by developing a set of digitalized drilling monitoring equipment. The equipment integrates various sensors (rotational speed, displacement, pressure transmitters) and an intrinsically safe drilling trajectory probe, collecting real-time mechanical parameters (drilling pressure, rotational speed, torque) and trajectory data (inclination, azimuth). The system employs intrinsically safe communication terminals and explosion-proof computers to support high-speed data transmission and intelligent analysis. It combines with the rock-drill action model to reverse the distribution of coal compressive strength and achieve geological transparency and dynamic trajectory monitoring. The system achieves geological transparency and dynamic monitoring of drilling trajectories and has been tested in an underground industrial roof water evacuation drilling operation in the 5-2 coal seam of a mine. Results show that the trajectory measurement is effective, with a 82% accuracy in recognizing coal rock mechanical parameters, significantly improving drilling efficiency and safety. The research provides technical support for intelligent drilling and disaster prevention in coal mines.

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Research on Coal Mine Digital Follow-Drill Monitoring Technology and Its Identification of Coal Rock Mechanical Parameters

  • 会议论文

  • 发表日期：

    2026年

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  • Jian Hu,
  • Ying Gao,
  • Fan Yang,
  • Jianxi Ren,
  • Chi Zhang,
  • Xiaowu Mao,
  • Zhizhi Ren,
  • Shangxin Fen

摘要

This paper addresses the issues of unknown geological information, low trajectory monitoring accuracy, and high safety risks during underground drilling in coal mines by developing a set of digitalized drilling monitoring equipment. The equipment integrates various sensors (rotational speed, displacement, pressure transmitters) and an intrinsically safe drilling trajectory probe, collecting real-time mechanical parameters (drilling pressure, rotational speed, torque) and trajectory data (inclination, azimuth). The system employs intrinsically safe communication terminals and explosion-proof computers to support high-speed data transmission and intelligent analysis. It combines with the rock-drill action model to reverse the distribution of coal compressive strength and achieve geological transparency and dynamic trajectory monitoring. The system achieves geological transparency and dynamic monitoring of drilling trajectories and has been tested in an underground industrial roof water evacuation drilling operation in the 5-2 coal seam of a mine. Results show that the trajectory measurement is effective, with a 82% accuracy in recognizing coal rock mechanical parameters, significantly improving drilling efficiency and safety. The research provides technical support for intelligent drilling and disaster prevention in coal mines.