大型地下洞室的TLS点云变形监测研究

doi:10.13474/j.cnki.11-2246.2025.0812

测绘通报 ›› 2025, Vol. 0 ›› Issue (8): 76-82.doi: 10.13474/j.cnki.11-2246.2025.0812

大型地下洞室的TLS点云变形监测研究

王浩帆¹, 李彪¹, 李涛², 肖培伟³, 钱洪建³, 徐奴文⁴

1. 西南石油大学, 四川成都 610500;
2. 中国水利水电第十四工程局有限公司, 云南昆明 650200;
3. 国家能源集团金沙江旭龙水电有限公司, 四川成都 610041;
4. 四川大学山区河流保护与治理全国重点试验室, 四川成都 610065

收稿日期:2024-12-09 出版日期:2025-08-25 发布日期:2025-09-02
通讯作者: 李彪。E-mail:libiaoscu@163.com E-mail:libiaoscu@163.com
作者简介:王浩帆(2000—),男,硕士生,研究方向为地下洞室三维激光扫描变形监测。E-mail:scwanghaofan@163.com
基金资助:
国家自然科学基金面上项目(52474150;42277461);四川省自然科学基金(2023NSFSC0812)

Monitoring of TLS point cloud deformation in large underground caverns

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

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

摘要/Abstract

摘要： 大型地下洞室中变形控制不及时可能会对人员安全和工程进度构成严重威胁,对地下洞室进行变形监测对于预防工程灾害具有重要意义。为解决大型地下洞室工程中变形监测效率低且信息不全面的问题,本文提出了一种基于TLS点云的变形观测技术。该技术包括结合RANSAC Shape Detection算法与曲面变化量的半自动点云降噪处理,以及基于M3C2算法的洞室表面变形计算,实现了大型地下洞室变形全面、高效的监测。应用该技术对旭龙电站主厂房典型区域支护变形进行监测,发现在施工频繁阶段Yc0+140—Yc0+170区间,下游侧拱座存在明显变形条带,且该结果与现场传统变形监测结果一致。观测结果为大型地下洞室变形控制提供了更为全面的三维变形信息,并提高了变形监测的效率。

关键词: 大型地下洞室, 旭龙水电站, TLS点云, 表面变形, 点云降噪

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

中图分类号:

P258

王浩帆, 李彪, 李涛, 肖培伟, 钱洪建, 徐奴文. 大型地下洞室的TLS点云变形监测研究[J]. 测绘通报, 2025, 0(8): 76-82.

WANG Haofan, LI Biao, LI Tao, XIAO Peiwei, QIAN Hongjian, XU Nuwen. Monitoring of TLS point cloud deformation in large underground caverns[J]. Bulletin of Surveying and Mapping, 2025, 0(8): 76-82.

参考文献

[1] 戴峰,李彪,徐奴文,等.白鹤滩水电站地下厂房开挖过程微震特征分析[J].岩石力学与工程学报,2016,35(4): 692-703.
[2] LI Biao,XU Nuwen,DAI Feng,et al.Dynamic analysis of rock mass deformation in large underground Caverns considering microseismic data[J].International Journal of Rock Mechanics and Mining Sciences,2019,122: 104078.
[3] FAZIO N L,PERROTTI M,LOLLINO P,et al.A three-dimensional back-analysis of the collapse of an underground cavity in soft rocks[J].Engineering Geology,2017,228: 301-311.
[4] LI Haibo,YANG Xingguo,ZHANG Xuebin,et al.Deformation and failure analyses of large underground Caverns during construction of the Houziyan Hydropower Station,Southwest China[J].Engineering Failure Analysis,2017,80: 164-185.
[5] ZUBELEWICZ A,MRÓZ Z.Numerical simulation of rock burst processes treated as problems of dynamic instability[J].Rock Mechanics and Rock Engineering,1983,16(4): 253-274.
[6] LAI Xingping,XU Huicong,SHAN Pengfei,et al.Research on the mechanism of rockburst induced by mined coal-rock linkage of sharply inclined coal seams[J].International Journal of Minerals,Metallurgy and Materials,2024,31(5): 929-942.
[7] LIU Guofeng,ZHOU Chi,FENG Kun,et al.Probabilistic evaluation method for the stability of large underground cavern considering the uncertainty of rock mass mechanical parameters: a case study of Baihetan underground powerhouse project[J].Engineering Geology,2024,340: 107660.
[8] XIAO P,LI B,DING Q,et al.Evaluation of blasting parameters for hydraulic tunnels based on multiple monitoring information[J].Geomatics,Natural Hazards and Risk,2024,15(1): 2311895.
[9] MIZUKOSHI T,MIMAKI Y.Deformation behaviour of a large underground cavern[J].Rock Mechanics and Rock Engineering,1985,18(4): 227-251.
[10] HØIEN A H,NILSEN B,OLSSON R.Main aspects of deformation and rock support in Norwegian road tunnels[J].Tunnelling and Underground Space Technology,2019,86: 262-278.
[11] LUO Yanbin,CHEN Jianxun,XI Weizheng,et al.Analysis of tunnel displacement accuracy with total station[J].Measurement,2016,83: 29-37.
[12] ZHOU Jianguo,XIAO Henglin,JIANG Weiwei,et al.Automatic subway tunnel displacement monitoring using robotic total station[J].Measurement,2020,151: 107251.
[13] 陈弘奕,胡晓斌,李崇瑞.地面三维激光扫描技术在变形监测中的应用[J].测绘通报,2014(12): 74-77.
[14] WANG Xu,WANG Mingnian,JIANG Ruolan,et al.Structural deformation monitoring during tunnel construction: a review[J].Journal of Civil Structural Health Monitoring,2024,14(3): 591-613.
[15] FARAHANI B V,BARROS F,SOUSA P J,et al.A coupled 3D laser scanning and digital image correlation system for geometry acquisition and deformation monitoring of a railway tunnel[J].Tunnelling and Underground Space Technology,2019,91: 102995.
[16] WANG T T,JAW J J,CHANG Y H,et al.Application and validation of profile-image method for measuring deformation of tunnel wall[J].Tunnelling and Underground Space Technology,2009,24(2): 136-147.
[17] JIANG Quan,ZHONG Shan,PAN Pengzhi,et al.Observe the temporal evolution of deep tunnel's 3D deformation by 3D laser scanning in the Jinchuan No.2 Mine[J].Tunnelling and Underground Space Technology,2020,97: 103237.
[18] JIANG Quan,SHI Yingen,YAN Fei,et al.Reconstitution method for tunnel spatiotemporal deformation based on 3D laser scanning technology and corresponding instability warning[J].Engineering Failure Analysis,2021,125: 105391.
[19] 国电金沙江旭龙水电开发有限公司.金沙江上游旭龙水电站引水发电系统及过鱼设施工程施工招标文件参考资料:工程地质[R].成都:国电金沙江旭龙水电开发有限公司,2021.
[20] 胡洋,韩扬,梁文鹏.三维激光扫描技术在桥梁变形监测中的应用[J].测绘通报,2024(3):179-82.
[21] SCHNABEL R,WAHL R,KLEIN R.Efficient RANSAC for point-cloud shape detection[J].Computer Graphics Forum,2007,26(2): 214-226.

大型地下洞室的TLS点云变形监测研究

Monitoring of TLS point cloud deformation in large underground caverns

PDF

可视化

摘要/Abstract

引用本文

使用本文

参考文献

相关文章 2

编辑推荐

Metrics

本文评价

[1]	荣延祥, 龚正, 陈泽权, 杨必胜. 一种由粗到精的边坡形变检测方法[J]. 测绘通报, 2021, 0(6): 93-97.
[2]	张荣春, 衣雪峰, 李浩, 岳建平, 卢官明, 张学东. 多源数据多语义岩体结构面提取方法[J]. 测绘通报, 2021, 0(11): 76-80,105.