Bulletin of Surveying and Mapping ›› 2025, Vol. 0 ›› Issue (8): 76-82.doi: 10.13474/j.cnki.11-2246.2025.0812

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Monitoring of TLS point cloud deformation in large underground caverns

WANG Haofan1, LI Biao1, LI Tao2, XIAO Peiwei3, QIAN Hongjian3, XU Nuwen4   

  1. 1. School of Geoscience and Technology, Southwest Petroleum University, Chengdu 610500, China;
    2. Sinohydro Engineering Bureau 14 Co., Ltd., Kunming 650200, China;
    3. CHN Energy Jinshajian Xulong Hydropower Co., Ltd., Chengdu 610041, China;
    4. State Key Laboratory of Hydraulics and Mountain River Engineering, Sichuan University, Chengdu 610065, China
  • Received:2024-12-09 Online:2025-08-25 Published:2025-09-02

Abstract: Deformation control in large underground caverns may pose a serious threat to personnel safety and engineering progress.Deformation monitoring of underground cavern is of great significance to prevent engineering disasters.To solve the problem of low deformation monitoring efficiency and incomplete information in large-scale underground cavern engineering,a deformation observation technology based on TLS point cloud is proposed in this paper.This technology includes semi-automatic point cloud noise reduction combining RANSAC Shape Detection algorithm and surface variation,and calculation of caverns surface deformation based on M3C2 algorithm,which can realize comprehensive and efficient monitoring of large-scale underground caverns deformation.This technique is applied to monitor the support deformation in a typical area of the main building of Xulong Power station,and it is found that there are obvious deformation bands in the downstream side arch of Yc0+140 to Yc0+170 during the frequent construction stage,and the results are consistent with the traditional deformation monitoring results on site.The observation results provide more comprehensive three-dimensional deformation information for deformation control of large underground caverns and improve the efficiency of deformation monitoring.

Key words: large underground cavern, Xulong hydropower station, TLS point clouds, surface deformation, point clouds denoising

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