Extraction of curved metro tunnel section based on point cloud

doi:10.13474/j.cnki.11-2246.2023.0299

Abstract

Abstract: 3D laser scanning technology has been widely used in the deformation monitoring of metro tunnels during the operation period. In view of the problems and shortcomings of common methods for obtaining the central axis of metro tunnel,based on the elevation difference of metro tunnel point cloud,this paper extracts the tunnel crown point cloud and fits the curve,and uses the crown axis instead of the central axis to extract the curved metro tunnel section continuously. Aiming at the problems of complex process and low efficiency of traditional section denoising methods,a radius filtering denoising algorithm based on the geometric characteristics of tunnel section is improved,and the denoised section points are compared by ellipse fitting. The experiment is carried out with the point cloud data of a curved metro tunnel in Wuhan. The results show that the method of extracting the curved metro tunnel section by replacing the central axis with the crown axis is accurate and reliable,and the improved section denoising algorithm is simple and efficient,which can improve the efficiency of tunnel deformation monitoring.

Key words: point cloud, subway tunnel axis, section extraction, radius filtering

CLC Number:

P258

XU Jingtian, SHAN Siao, YU Ruihan, WU Lei, CHEN Gang. Extraction of curved metro tunnel section based on point cloud[J]. Bulletin of Surveying and Mapping, 2023, 0(10): 80-84,122.

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