[논문]라이다 기반 정밀 형상 모델 활용 석회석 광산 지반침하 원인분석 사례연구

고휘철; 하태욱; 정상원; 박승현; 김승태

doi:10.7474/tus.2023.33.3.126

라이다 기반 정밀 형상 모델 활용 석회석 광산 지반침하 원인분석 사례연구
A Case Study on the Cause Analysis of Subsidence in Limestone Mine Using LiDAR-Based Geometry Model 원문보기

터널과 지하공간: 한국암반공학회지 = Tunnel and underground space, v.33 no.3, 2023년, pp.126 - 140

고휘철 (한국광해광업공단 기술개발2팀) , 하태욱 (한국광해광업공단 마이닝센터) , 정상원 (한국광해광업공단 기술개발2팀) , 박승현 (한국광해광업공단 기술개발2팀) , 김승태 (한국광해광업공단 기술개발2팀)

초록
AI-Helper

본 연구에서는 석회석 광산에서 발생한 지반침하지에 대해 라이다 기반 정밀 형상 모델을 활용하여 침하 원인을 분석하였다. 드론 및 지상 기반 라이다 시스템을 활용하여 침하지 지표 및 갱도에 대한 정밀 형상 모델 구축을 수행하고 현장 지질조사 및 암반 분류 결과를 활용하였다, 정밀 형상 모델을 통해 침하지 주변부 크라운필러 두께 및 단층 분포, 침하지 및 침하 적치물 부피 계산, 침하 지표 경사 분석을 수행하였다. 이와 같은 분석을 통해 석회석 광산에서 발생한 지반침하 원인을 규명하였다.

Abstract ▼ AI-Helper

In this study, the cause of subsidence in limestone mine was analyzed using a LiDAR-based geometry model. Using UAV and ground-based LiDAR systems, a precise geometry model was constructed for the subsidence surface and mine tunnel, and the results of on-site geological survey and rock mass classification were utilized. Through the geometry model, distribution of thickness of crown pillar and faults around the subsidence area, calculation of the volume of the subsidence area and subsidence deposit, and analysis of the subsidence surface inclination were conducted. Through these analyzes, the causes of ground subsidence were identified.

주제어

표/그림 (21)

그림 Fig. 1. Current condition of mining-induced ground subsidence: (a) aerial photo of subsidence area, (b) subsidence A condition on the surface, (c) photo of subsidence B condition on the surface and (d) subsidence deposit in mine tunnel
그림 Fig. 2. Investigation outline map for analyzing the cause of mining-induced ground subsidence
그림 Fig. 3. Distribution of discontinuities direction through the geological survey in mine tunnel : (a) stereonet, (b) rose diagram
표 Table 1. LiDAR system equipment specification
그림 Fig. 4. Outline diagram of the data processing sequence of the LiDAR system
표 Table 2. Rock mass classification by Q-system
그림 Fig. 5. Ground subsidence surface model using aerial LiDAR system
그림 Fig. 6. Result of data processing for each stage of mine tunnel point cloud
그림 Fig. 7. LiDAR-based ground subsidence geometry model (surface and mine tunnel)
표 Table 3. Result of the geospatial specification analysis of subsidence area
표 Table 4. Geometry model used for subsidence cause analysis and application method
그림 Fig. 8. Updated Scaled Span chart (Carter et al., 2008)
표 Table 5. Acceptable risk exposure guidelines (modified from Carter et al., 2008)
그림 Fig. 9. Result on the conversion width diagram according to crown pillar thickness
표 Table 6. Critical thickness of crown pillar calculated by the Scaled Span method
그림 Fig. 10. Visualization of crown pillar thickness distribution analysis in the investigation area
그림 Fig. 11. Fault distribution around subsidence area: (a) distribution status of faults and cavities in mine tunnel around the subsidence, (b) result of fault distribution simulation around the subsidence
그림 Fig. 12. Modeling process for calculating volume of subsidence deposit in mine tunnel
그림 Fig. 13. Subsidence displacement and deformation in slope surface (Whittaker and Reddish, 1989)
그림 Fig. 14. Result of topographical analysis of subsidence to find the location of the cause of the subsidence
그림 Fig. 15. Subsidence integrated visualization result based on the geometry model

참고문헌 (20)

Carter, T.G., 1992, A new approach to surface crown pillar design, Proc. 16th can., Rock Mecjanocs Symposium, Sudbury, pp. 75-83.
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KORES, 2019, Safety inspection service report for subsidence restoration at the ○○ mine(in Korean).
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상세보기
Sunwoo, C., Song, W.K., Ryu, D.W., Rao, and Karanam, U.M., 2006, Causal analysis of subsidence and prediction of damage zone？in an abandoned underground limestone mine, The Korean Society for Geosystem Engineering, 43(1), 1-12
Whittaker, B.N. and Reddish, D.J., 1989, Subsidence:Occurrence, presiction and control, department of mining engineering, the？University of Nottingham, United Kingdom.
Zheng, J., Yao, W., Lin, X., Ma, B., and Li, B., 2022, An accurate digital subsidence model for deformation detection of coal？mining areas using a UAV-based LiDAR, Remote Sens, 14, 421.

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