Application of the Terrestrial Laser Scanning in Slope Deformation Monitoring: Taking a Highway Slope as an Example

Applied Sciences

卷:10

Zhinan Hu¹  Ying Li²  Chao Yin²  Haoran Li³ 

[1] Key Laboratory of Roads and Railway Engineering Safety Control of Ministry of Education, Shijiazhuang Tiedao University, Shijiazhuang 050043, China;

[2] School of Civil and Architecture Engineering, Shandong University of Technology, Zibo 255000, China;

[3] Urban Rail Construction Corporation, Zhongtian Construction Group Co., LTD, Hangzhou 310000, China;

关键词: terrestrial laser scanning (TLS);    slope deformation monitoring;    point cloud registration;    improved point cloud comparison method;   

DOI  :  10.3390/app10082808

来源: DOAJ

【 摘 要 】

Slope deformation monitoring is the prerequisite for disaster risk assessment and engineering control. Terrestrial laser scanning (TLS) is highly applicable to this field. Coarse registration method of point cloud based on scale-invariant feature transform (SIFT) feature points and fine registration method based on the k-dimensional tree (K-D tree) improved iterative closest point (ICP) algorithm were proposed. The results show that they were superior to other algorithms (such as speeded-up robust features (SURF) feature points, Harris feature points, and Levenberg-Marquardt (LM) improved ICP algorithm) when taking the Stanford Bunny as an example, and had high applicability in coarse and fine registration. In order to integrate the advantages of point measurement and surface measurement, an improved point cloud comparison method was proposed and the optimal model parameters were determined through model tests. A case study was conducted on the left side of the K146 + 150 point at S236 Boshan section, Shandong Province, and research results show that from 14 August 2018 and 9 November 2019, the overall deformation of the slope was small with a maximum value of 0.183 m, and the slope will continue to maintain a stable state without special inducing factors such as earthquake, heavy rainfall and artificial excavation.

【 授权许可】

Unknown