Slope Deformation Analysis and Research Based on 3D Laser Scanning Technology

2021 5th International Conference on Vision, Image and Signal Processing (ICVISP) Pub Date : 2021-12-01 DOI:10.1109/ICVISP54630.2021.00052

Xiaofang Xue, Jieming Guo, C. Ying, Yanhui Liu, T. Guo, Qian Meng, Yupeng Yang, Daguang Han

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引用次数: 1

Abstract

Aiming at the characteristics of traditional monitoring methods of slope deformation, such as low efficiency of single point measurement, limited operation area, time-consuming and laborious and difficulty in analyzing the overall deformation of slope. Taking the high cutting slope of a certain ramp section of suizi expressway as the research object, 3D laser scanning technology was used to scan the slope and obtain 3D point cloud data of the slope in different periods. The original data were pre-processed by point cloud registration, noise reduction, algorithm filtering and so on to obtain a 3D fined model, so as to realize the overall deformation analysis of the slope and the key monitoring of characteristic parts. The results show that 3D laser scanning technology can obtain more comprehensive 3D spatial information of the slope and realize the high efficiency and high precision monitoring of slope deformation, which is of significance for the real-time monitoring of slope deformation and disaster early warning.

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基于三维激光扫描技术的边坡变形分析与研究

针对传统的边坡变形监测方法存在单点测量效率低、操作面积有限、耗时费力、难以分析边坡整体变形等特点。以绥子高速公路某匝道段高路堑边坡为研究对象，采用三维激光扫描技术对边坡进行扫描，获得边坡不同时期的三维点云数据。对原始数据进行点云配准、降噪、算法滤波等预处理，得到三维精细模型，实现边坡整体变形分析和特征部位关键监测。结果表明，三维激光扫描技术可以获得更全面的边坡三维空间信息，实现对边坡变形的高效、高精度监测，对边坡变形的实时监测和灾害预警具有重要意义。

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2021 5th International Conference on Vision, Image and Signal Processing (ICVISP)

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