Shield subway tunnel deformation detection based on mobile laser scanning

• Published in: Automation in construction Vol. 106; p. 102889
• Main Authors: Cui, Hao, Ren, Xiaochun, Mao, Qingzhou, Hu, Qingwu, Wang, Wei
• Format: Journal Article
• Language: English
• Published: Amsterdam Elsevier B.V 01.10.2019; Elsevier BV
• Subjects: Accuracy; Algorithms; Cross section; Cross-sections; Deformation; Deformation detection; Dislocations; Ellipse fitting; Elliptic fitting; Lasers; Mobile laser scanning; Railway tunnels; Scanning; Seams; Segments; Shield subway tunnel; Subway tunnels; Wavelet analysis; Wavelet filtering; Wavelet filtering; Shield subway tunnel; Mobile laser scanning; Deformation detection; Cross section; Ellipse fitting
• ISSN: 0926-5805; 1872-7891
• DOI: 10.1016/j.autcon.2019.102889

Shield subway tunnels are critical urban infrastructure and precise, rapid deformation detection method is required for the maintenance of these tunnels. A tunnel deformation detection system called Railway Mobile Measurement System (RMMS) was developed based on mobile laser scanning technique. Herein, detailed analysis is given to prove that profiles from the laser scanner can be seen as cross-sections of the tunnel and that the corresponding error can be ignored. A wavelet filtering algorithm was developed to filter the point cloud of tunnel ancillary facilities in the cross-section points. A subsequent ellipse fitting and deformation detection method is proposed. A cross-section location method for subway tunnels is also presented based on the greyscale image converted from the tunnel's point cloud. A tunnel ring segments seams detection method is proposed to detect tunnel ring segments dislocation. The accuracy of the system was verified in a subway tunnel in Wuhan, China with a total station. The accuracy of cross-section measurement was 1.5 mm, the repeatability of the overall and local deformation measurement was 0.5 and 0.9 mm, respectively. This system completely fulfils the accuracy requirement of railway tunnels deformation detection and its efficiency is significantly higher than that of the traditional method. •The error of directly obtained laser scanning cross-section points of subway tunnels is analyzed in detail.•A wavelet filtering algorithm is proposed to filter point cloud of tunnel ancillary facilities.•Tunnel's overall and local deformation is detected based on ellipse fitting of cross-section points.•A tunnel ring segments dislocation detection method based on template matching and segments seams detection is proposed.