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Shield subway tunnel deformation detection based on mobile laser scanning

机译:基于移动激光扫描的盾构地铁隧道变形检测

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摘要

Shield subway tunnels are critical urban infrastructure and precise, rapid deformation detection method is required for the 'maintenance-of these tunnels. 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.
机译:盾构地铁隧道是重要的城市基础设施,维护这些隧道需要精确,快速的变形检测方法。基于移动激光扫描技术的隧道变形检测系统称为铁路移动测量系统(RMMS)。在此,进行详细分析以证明可以将激光扫描仪的轮廓视为隧道的横截面,并且可以忽略相应的误差。提出了一种小波滤波算法,对横断面中隧道辅助设施的点云进行滤波。提出了一种随后的椭圆拟合和变形检测方法。基于从隧道点云转换而来的灰度图像,提出了一种地铁隧道断面定位方法。提出了一种隧道环段接缝检测方法,以检测隧道环段的错位。该系统的准确性已在中国武汉的一个全站仪地铁隧道中得到验证。横截面测量的精度为1.5毫米,整体和局部变形测量的重复性分别为0.5和0.9毫米。该系统完全满足铁路隧道变形检测的精度要求,其效率明显高于传统方法。

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