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A Coal Mine Tunnel Deformation Detection Method Using Point Cloud Data.

Jitong Kang1, Mei Li1, Shanjun Mao1

  • 1Institute of Remote Sensing and Geographic Information System, Peking University, Beijing 100871, China.

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|April 13, 2024
PubMed
Summary
This summary is machine-generated.

This study introduces a handheld 3D laser scanner method for accurate underground coal mine tunnel deformation detection. The approach enhances safety and efficiency in monitoring tunnel integrity using mobile laser scanning technology.

Keywords:
coal minedeformation detectionpoint cloudunderground tunnel

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Area of Science:

  • Geotechnical Engineering
  • Mining Engineering
  • Geospatial Technology

Background:

  • Tunnel deformation detection is critical for coal mine safety management.
  • Traditional methods are labor-intensive and pose risks in confined spaces.
  • Stationary 3D laser scanning is time-consuming and operationally hazardous.

Purpose of the Study:

  • To propose an efficient and accurate method for detecting underground coal mine tunnel deformation.
  • To leverage handheld 3D laser scanning and SLAM technology for comprehensive point cloud acquisition.
  • To analyze tunnel deformation from both global and cross-sectional perspectives.

Main Methods:

  • Utilized SLAM (Simultaneous Localization and Mapping) laser radar for complete tunnel point cloud data acquisition.
  • Projected 3D point clouds onto planes to determine tunnel centerline coordinates.
  • Matched multi-temporal 3D point cloud data to a unified coordinate system using the derived centerline for deformation analysis.

Main Results:

  • The proposed method successfully obtained complete point cloud information of underground tunnels.
  • Tunnel deformation parameters were accurately analyzed from global and cross-sectional viewpoints.
  • On-site data collection validated the algorithm's feasibility and superior accuracy compared to existing methods.

Conclusions:

  • The handheld 3D laser scanning method provides a more accurate and practical solution for coal mine tunnel deformation detection.
  • This mobile laser scanning approach enhances operational safety and efficiency in high-risk underground environments.
  • The algorithm meets practical requirements and offers improved performance over traditional and other advanced techniques.