BAO Jin, WANG Jiexian, HUANG Fan, WU Ting, LI Weitao, DING Yang. Method of Calculating the Convergence Based on Mobile Laser Scanning in Circular Shield Tunnel[J]. Geomatics and Information Science of Wuhan University, 2021, 46(3): 353-359. DOI: 10.13203/j.whugis20190119
Citation: BAO Jin, WANG Jiexian, HUANG Fan, WU Ting, LI Weitao, DING Yang. Method of Calculating the Convergence Based on Mobile Laser Scanning in Circular Shield Tunnel[J]. Geomatics and Information Science of Wuhan University, 2021, 46(3): 353-359. DOI: 10.13203/j.whugis20190119

Method of Calculating the Convergence Based on Mobile Laser Scanning in Circular Shield Tunnel

Funds: 

The National Natural Science Foundation of China 41974025

More Information
  • Author Bio:

    BAO Jin, master, assistant engineer, specializes in point cloud data processing.E-mail: 1539852463@qq.com

  • Received Date: December 09, 2019
  • Published Date: March 04, 2021
  •   Objectives  In recent years, the convergence of shield tunnel using the terrestrial laser scanning is more and more widely, but stations changed frequently have an extreme influence on monitoring efficiency. The position of endpoints will change with the tunnel deformation when the laser point clouds is applied to fit curve in order to calculate the coordinates of endpoints. Therefore, it is difficult to ensure that the same convergent endpoints are obtained at different times using fitting curve based on point clouds which have an influence on the precision of convergence.
      Methods  Aiming at the problem of low efficiency of station-based 3D laser scanning, this paper introduces an economical, efficient and reliable mobile laser scanning monitoring method. For the calculation of convergence value, this paper introduces a new method based on tunnel expanded image in detail. Firstly, the expanded images of tunnel were obtained by the cylindrical projection of point clouds, the expansion of standard cylinder and gray rasterization, interpolation and gray enhancement of image. Secondly, it can accurately locate the section of point clouds of each ring in shield tunnel through the binaryzation of image, connected analysis, automatic identification and manual correction of ring cracks. Then, the positions between segments of each ring were manually drawn in the expanded image and the orientations of the fixed endpoints were deduced. Finally, the coordinates of the convergent endpoints were calculated and the convergences were calculated by fitting the segments.
      Results  The results show that the difference between the repetitive results of the convergence value using mobile laser scanning is less than 1.5 mm.
      Conclusions  The proposed calculation method can efficiently monitor the convergence of the single-circle shield tunnel with reliable accuracy.
  • [1]
    谢雄耀, 卢晓智, 田海洋, 等. 基于地面三维激光扫描技术的隧道全断面变形测量方法[J]. 岩石力学与工程学报, 2013, 32(11): 2 214-2 224 https://www.cnki.com.cn/Article/CJFDTOTAL-YSLX201311006.htm

    Xie Xiongyao, Lu Xiaozhi, Tian Haiyang, et al. Development of a Modeling Method for Monitoring Tunnel Deformation Based on Terrestrial 3D Laser Scanning[J]. Chinese Journal of Rock Mechanics and Engineering, 2013, 32(11): 2 214-2 224 https://www.cnki.com.cn/Article/CJFDTOTAL-YSLX201311006.htm
    [2]
    刘绍堂, 刘文锴, 周跃寅. 一种隧道整体变形监测方法及其应用[J]. 武汉大学学报·信息科学版, 2014, 39(8): 981-986 doi: 10.13203/j.whugis20120122

    Liu Shaotang, Liu Wenkai, Zhou Yueyin. A Tunnel Overall Deformation Monitoring Method and Its Application[J]. Geomatics and Information Science of Wuhan University, 2014, 39(8): 981-986 doi: 10.13203/j.whugis20120122
    [3]
    Huang Kuopin, Wang Taitien, Huang Tsanhwei, et al. Profile Deformation of a Circular Tunnel Induced by Ambient Stress Changes[J]. Tunnelling and Underground Space Technology, 2010, 25(3): 266-278 doi: 10.1016/j.tust.2009.12.006
    [4]
    Han S, Cho H, Kim S, et al. Automated and Efficient Method for Extraction of Tunnel Cross Sections Using Terrestrial Laser Scanned Data[J]. American Society of Civil Engineers, 2012, 27 (3): 274-281 http://www.researchgate.net/publication/273616108_Automated_and_Efficient_Method_for_Extraction_of_Tunnel_Cross_Sections_Using_Terrestrial_Laser_Scanned_Data
    [5]
    Kang Zhizhong, Zhang Liqiang, Tuo Lei, et al. Continuous Extraction of Subway Tunnel Cross Sections Based on Terrestrial Point Clouds[J]. Remote Rensing, 2014(6): 857-879 http://www.oalib.com/paper/3098491
    [6]
    Kang Zhizhong, Tuo Lei, Sisi Zlatanova. Continuously Deformation Monitoring of Subway Tunnel Based on Terrestrial Point Clouds[C]. International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, Melbourne, Australia, 2012
    [7]
    Du Liming, Zhong Ruofei, Sun Haili, et al. Automatic Monitoring of Tunnel Deformation Based on High Density Point Clouds Data[C].International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, Wuhan, China, 2017
    [8]
    Cheng Yunjian, Qiu Wenge, Lei Jin. Automatic Extraction of Tunnel Lining Cross Sections from Terrestrial Laser Scanning Point Clouds[J]. Sensors, 2016, 16: 1 648-1 663 doi: 10.3390/s16101648
    [9]
    Walton G, Delaloye D, Diederichs M S. Development of an Elliptical Algorithm to Improve Change Detection Capabilities with Applications for Deformation Monitoring in Circular Tunnels and Shafts[J]. Tunnelling and Underground Space Technology, 2014, 43: 336-349 doi: 10.1016/j.tust.2014.05.014
    [10]
    Delaloye D, Diederichs M S, Walton G, et al. Sensitivity Testing of the Newly Developed Elliptical Fitting Method for the Measurement of Convergence in Tunnels and Shafts[J]. Rock Mechanics and Rock Engineering, 2015, 48: 651-667 doi: 10.1007/s00603-014-0566-0
    [11]
    王解先, 季凯敏. 工业测量拟合[M]. 北京: 测绘出版社, 2008

    Wang Jiexian, Ji Kaimin. Industrial Surveying Fitting[M]. Beijing: Surveying and Mapping Press, 2008
    [12]
    Han J, Guo J, Jiang Y. Monitoring Tunnel Profile by Means of Multi-epoch Dispersed 3-D LiDAR Point Clouds[J]. Tunnelling and Underground Space Technology, 2013, 33: 186-192 doi: 10.1016/j.tust.2012.08.008
    [13]
    魏楚文. 地铁隧道激光扫描检测小车的研究与开发[D]. 武汉: 武汉大学, 2017

    Wei Chuwen. Subway Tunnel Laser Scanning Detection Trolley Research and Development[D]. Wuhan : Wuhan University, 2017
    [14]
    张剑. 轨道移动激光扫描平台的嵌入式定位同步系统研究[D]. 上海: 上海工程技术大学, 2014

    Zhang Jian.Reasearch on Embedded Positioning Synchronous System of Mobile Laser Scanning Platform on Subway[D]. Shanghai : Shanghai University of Engineering Science, 2014
  • Related Articles

    [1]Gan Wenxia, Pan Junjie, Geng Jing, Wang Huini, Hu Xiaodi. A Fusion Method for Infrared and Visible Images in All-weather Road Scenes[J]. Geomatics and Information Science of Wuhan University. DOI: 10.13203/j.whugis20240173
    [2]SONG Zhina, SUI Haigang, LI Yongcheng. A Survey on Ship Detection Technology in High-Resolution Optical Remote Sensing Images[J]. Geomatics and Information Science of Wuhan University, 2021, 46(11): 1703-1715. DOI: 10.13203/j.whugis20200481
    [3]XIANG Tianzhu, GAO Rongrong, YAN Li, XU Zhenliang. Region Feature Based Multi-scale Fusion Method for Thermal Infrared and Visible Images[J]. Geomatics and Information Science of Wuhan University, 2017, 42(7): 911-917. DOI: 10.13203/j.whugis20141007
    [4]ZHANG Lifu, YANG Hang, FANG Conghui, PAN Mao. Thermal Infrared Target Recognition Using Multi-scale Fractal Model[J]. Geomatics and Information Science of Wuhan University, 2012, 37(3): 339-342.
    [5]YING Shen, LI Lin, GAO Yurong. Pedestrian Simulation in Urban Space Based on Visibility Analysis and Agent Techniques[J]. Geomatics and Information Science of Wuhan University, 2011, 36(11): 1367-1370.
    [6]XU Hanqiu, ZHANG Tiejun, LI Chunhua. Cross Comparison of Thermal Infrared Data Between ASTER and Landsat ETM~+ Sensors[J]. Geomatics and Information Science of Wuhan University, 2011, 36(8): 936-940.
    [7]ZHU Zhongmin, GONG Wei, YU Juan, TIAN Liqiao. Applicability Analysis of Transformation Models for Aerosol Optical Depth and Horizontal Visibility[J]. Geomatics and Information Science of Wuhan University, 2010, 35(9): 1086-1090.
    [8]MAO Yue, SONG Xiaoyong, FENG Laiping. Visibility Analysis of X-ray Pulsar Navigation[J]. Geomatics and Information Science of Wuhan University, 2009, 34(2): 222-225.
    [9]YANG Guijun, LIU Qinhuo, LIU Qiang, GU Xingfa. Fusion of Visible and Thermal Infrared Remote Sensing Data Based on GA-SOFM Neural Network[J]. Geomatics and Information Science of Wuhan University, 2007, 32(9): 786-790.
    [10]GONG Shengrong, YANG Shanchao. A Visible Watermarking Algorithm Holding Image Content[J]. Geomatics and Information Science of Wuhan University, 2006, 31(9): 757-760.
  • Cited by

    Periodical cited type(2)

    1. 徐辛超,高阳. 融合跳跃连接网络与双重注意力机制的可见光与红外遥感影像匹配方法. 地球信息科学学报. 2025(03): 766-783 .
    2. 姚国标,张成成,龚健雅,张现军,李兵. 非线性尺度空间改进的光学与SAR影像自动配准. 武汉大学学报(信息科学版). 2024(12): 2249-2260 .

    Other cited types(0)

Catalog

    Article views PDF downloads Cited by(2)
    Related

    /

    DownLoad:  Full-Size Img  PowerPoint
    Return
    Return