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대형 싱크홀 재난 현장 조사용 3차원 형상화 장비 구현

Fabrication of Three-Dimensional Scanning System for Inspection of Massive Sinkhole Disaster Sites

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초록

Recently, interest in ground subsidence in urban areas has increased after a large sinkhole occurred near the high-story building area in Jamsil, Seoul, Korea, in 2014. If a massive sinkhole occurs in an urban area, it is crucial to assess its risk rapidly. Access to humans for on-site safety diagnosis may be difficult because of the additional risk of collapse in the disaster area. Generally, inspection using drones equipped with high-speed lidar sensors can be utilized. However, if the sinkhole is created vertically to a depth of 100 m, similar to the sinkhole in Guatemala, the drone cannot be applied because of the wireless communication limit and turbulence inside the sinkhole. In this study, a three-dimensional (3D) scanning system was fabricated and operated using a towed cable in a massive vertical sinkhole to a depth of 200 m. A high-speed lidar sensor was used to obtain a continuous cross-sectional shape at a certain depth. An inertial-measuring unit was applied to compensate for the error owing to the rotation and pendulum movement of the measuring unit. A reconstruction algorithm, including the compensation scheme, was developed. In a vertical hole with a depth of 180 m in the mining area, the fabricated system was applied to scan 0–165 m depth. The reconstructed shape was depicted in a 3D graph.

Abstract

Recently, interest in ground subsidence in urban areas has increased after a large sinkhole occurred near the high-story building area in Jamsil, Seoul, Korea, in 2014. If a massive sinkhole occurs in an urban area, it is crucial to assess its risk rapidly. Access to humans for on-site safety diagnosis may be difficult because of the additional risk of collapse in the disaster area. Generally, inspection using drones equipped with high-speed lidar sensors can be utilized. However, if the sinkhole is created vertically to a depth of 100 m, similar to the sinkhole in Guatemala, the drone cannot be applied because of the wireless communication limit and turbulence inside the sinkhole. In this study, a three-dimensional (3D) scanning system was fabricated and operated using a towed cable in a massive vertical sinkhole to a depth of 200 m. A high-speed lidar sensor was used to obtain a continuous cross-sectional shape at a certain depth. An inertial-measuring unit was applied to compensate for the error owing to the rotation and pendulum movement of the measuring unit. A reconstruction algorithm, including the compensation scheme, was developed. In a vertical hole with a depth of 180 m in the mining area, the fabricated system was applied to scan 0–165 m depth. The reconstructed shape was depicted in a 3D graph.

참고문헌 (10)

  1. "Ground subsidence (sinkhole) occurrence cause and technology and directions for policy response" (2015)[URL]
  2. "Guatemala Sinkhole Created by Humans, Not Nature"[URL]
  3. E. J. Lee, "Early sinkhole detection using a dron-based thermal camera and image processing", Infrared Physics & Technology, pp.223~232 (2016)[DOI]
  4. Z. Motyka, "System model for spatial mapping anthropogenic sinkholes and subsidence basins in mining areas applying 2D laser scanner technique", 5th Int. Sci. Conf. on Civil Engineering-Infrastructure-Mining, 106 (2019)
  5. M. Kobal, "Lidar processing for defining sinkhole characteristics under dense forest cover : A case study in the Dinaric mountains", Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci, pp.113~118 (2014)[DOI]
  6. M. Kobal, "Using lidar data to analyse sinkhole characteristics relevant for understory vegetation under forest cover—Case study of a high karst area in the Dinaric mountains", PLOS ONE (2015)[DOI]
  7. F. N. Tibouo, "Use and evaluation of LiDAR for mapping sinkholes in Royal Spring groundwater basin", M.S, pp.2016
  8. J. W. Sahl, "A comparative molecular analysis of water-filled limestone sinkholes in north-eastern Mexico", Environmental Microbiology, 13(1), pp.226~240 (2011)[DOI]
  9. N. Weidner, "Underwater cave mapping using stereo vision", 2017 IEEE International Conference on Robotics and Automation, pp.5709~5715 (2017)
  10. S. G. Yu, "Apparatus for 3D scanning underground cavity", Korea Patent 10-2015-00049207, ~ (2015)

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