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Research On Slope Deformation Monitoring Based On Non-contact Multi-source Point Cloud Acquisition Technology

Posted on:2021-05-09Degree:MasterType:Thesis
Country:ChinaCandidate:S H QiuFull Text:PDF
GTID:2370330611972397Subject:Engineering
Abstract/Summary:PDF Full Text Request
With the vigorous development of China's engineering construction,more and more artificial slopes have been formed.The associated landslide risks and hidden dangers are also increasing.This hidden danger seriously threatens our safe production and economy.Traditional slope monitoring methods are time-consuming and labor-intensive.The measurement accuracy is greatly affected by the external.How to quickly obtain high-precision and high-efficiency information on the surface characteristics of slopes,monitor the deformation of slopes,and reduce the production cycle and cost are the key issues in this field.Nowadays,based on non-contact measurement methods such as ground three-dimensional laser scanning technology and UAV photogrammetry technology,three-dimensional reconstruction models are carried out on objects with different data collection methods and modeling methods.Point cloud data modeling with a single technology has certain limitations and cannot meet the modeling requirements of complex scenarios.Therefore,carrying out research on multi-source point cloud data fusion technology can make up for their shortcomings.Realizing more complete and accurate 3D model reconstruction has important application value.Based on 3D laser scanning technology and UAV photogrammetry technology,this paper proposes a set of research methods for slope deformation monitoring based on non-contact multi-source point cloud acquisition.Focusing on the feasibility of multi-source point cloud data fusion modeling and slope deformation monitoring analysis methods,the main research contents and results are as follows:(1)From the point cloud data collection method,the two non-contact measurement technologies of 3D laser scanning and UAV photogrammetry are systematically summarized.The working principles and system classification of the two technologies are summarized and a set of standardized work is proposed.(2)Aiming at the advantages and disadvantages of 3D laser scanning technology and UAV photogrammetry technology,a 3D model reconstruction technology combining point cloud data obtained by various technologies is proposed and its accuracy analysis is carried out.Taking an experiment building in a school as an example,the point cloud data obtained by the two non-contact are processed throughcoarse registration and precise registration of the Point cloud to obtain a complete and accurate point cloud model of the experiment building.The three-dimensional point cloud scene constructed using multi-source point cloud data fusion technology is more complete.Geometry and texture details are also more abundant.The experimental results meet the requirements of relevant specifications and can be applied in actual project production.(3)Three slope deformation monitoring methods based on point cloud analysis are proposed,namely,deformation calculation method based on monitoring point,deformation calculation method based on point cloud to point cloud and deformation calculation method based on grid node.Discuss the principle.The advantages and disadvantages of the three methods are analyzed.The deformation calculation method based on monitoring points is used to analyze the slope deformation.Two types of non-contact measurement techniques are used to obtain the two-phase point cloud of the indoor sand table model and calculate its deformation.The results are in good agreement with the total station's deformation information obtained by the target.This study analyzed the practical application of non-contact point cloud acquisition method in slope deformation monitoring,using two-phase point cloud data obtained by 3D laser scanner and UAV aerial photography,the slope deformation was analyzed using the point cloud to point cloud deformation calculation Hausdorff distance point cloud comparison method.
Keywords/Search Tags:3D Laser Scanning, UAV Photogrammetry, Point Cloud Integration, Slope Monitoring
PDF Full Text Request
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