3D Laser Scanning Acquisition and Modeling of Tunnel Engineering Point Cloud Data. Issue 1 (1st February 2023)

• Record Type: Journal Article
• Authors: Shi, Fangzhe; Yang, Jingxin; Li, Qiuyi; He, Junjie; Chen, Boning
• Is Part Of: Journal of physics. Volume 2425:Issue 1(2023)
• Publication Date: 2023-02-01
• Subjects: 3D laser scanning technology: Point cloud data -- 3D reconstruction -- Tunnel engineering; Physics -- Congresses; 530.5
• DOI: 10.1088/1742-6596/2425/1/012064
• Languages: English
• ISSNs: 1742-6588

Abstract

Abstract: For tunnel deformation analysis using traditional measurement methods to obtain tunnel section data, there are problems such as small data coverage and low efficiency. 3D laser scanning technology has the advantages of automatic, high precision and high efficiency in collecting the point cloud data of the target object, and can completely and accurately express the target entity. Based on the tunnel point cloud acquired by 3D laser scanner, the tunnel engineering modeling research is carried out in this paper. Firstly, the engineering survey and 3D reconstruction technology of shield tunnel were carried out based on 3D laser scanning technology. The total station layout control was used to scan the subway platform and tunnel interval, and the high-precision laser point cloud data were obtained. Secondly, a random sampling consistency algorithm is proposed to extract engineering measurement results such as tunnel axis and cross section. Finally, the 3D modeling of the tunnel is established by using the stretching setting out modeling method. Taking Yuzhu Tunnel planning and acceptance project as an example, the experimental results show that the method can effectively visualize the overall deformation of the tunnel, and provide accurate and scientific spatial data for tunnel engineering measurement, operation and maintenance.