Study On 3D Modeling And Application In Airborne LiDAR Power Lines

With the increase of power load in our country,people’s demand for high voltage,high power and long-distance transmission is constantly increasing,so the safety and stable operation of transmission lines have been paid more and more attention.Due to the complicated geographical environment,it is urgent to ensure the reliability of power supply.At present,the inspection and maintenance of transmission line corridors mainly rely on manual on-site inspection.Manual line identification is required to determine whether there are unsafe objects and whether the distance between the power line and the building is within the safe distance.The work intensity of the method is large,the identification accuracy is poor,and the efficiency is low.However,high-precision and high-efficiency power line patrol is the problem that transmission line management needs to solve.In order to carry out safety detection of power lines and any potentially dangerous points of tree-block in complex environment.In the study,a Multi-Rotor UAV carried out high-precision LiDAR system(airborne LiDAR)and collect transmission line corridor point cloud data.Study on 3D modeling and application in airborne LiDAR power lines is based on point cloud data.The main contents and innovations are as follows.1.Difficulties surrounding the laser point cloud data collected by airborne LiDAR and based on the feature differentiation of corridors.In the study,3D point cloud models were classified and processed according to the spatial characteristics of point cloud data such as elevation,density and dimension,so as to realize the extraction of power line point cloud data.The ground,vegetation,tower and power line point cloud of 110kV,345kV and 500kV transmission line corridor were classified and tested.Moreover,it provides data support for subsequent segmentation and extraction of single power line and 3D modeling.2.In response to the phenomenon that low accuracy of the power line cloud data which affects the model precision is low,so the methods have been proposed,and it is based on affinity propagation(AP)with density feature in the powerline clustering segmentation of point cloud data,thus to obtain high accuracy point cloud data.Due to the unreasonable setting of bias parameters in AP clustering algorithm,it needs to refer to density clustering.In the experiment,according to the actual point cloud data and neighborhood within the scope of the number of point cloud intensive set parameters,the relation of information in the process of iterative update unnecessary computation is skipped,thus it improved the precision of clustering.Through the processing of the power line,including segmentation,projection,clustering and integration,the high precision extraction of single power line point cloud data can be completed.3.In order to solve the problems of low accuracy and efficiency in tree-block detection of transmission lines,optimization was carried out in the study,and power-line point cloud data,point cloud data in vegetation and tree-block detection algorithm were used.Firstly,based on the single power line point cloud data,the three-dimensional modeling method combining linear model and parabolic model was used,and the high-precision power line model was established.Then,according to point cloud data in vegetation,regular grid is applied to extract the highest point as the point cloud data in vegetation,so as to reduce a large amount of calculation.Finally,the kd-tree algorithm can be used to deal with the problem of long time in the process of computing a large amount of 3D data.Moreover,the power line data and vegetation data are projected onto the plane where the power line is located for further processing.While ensuring the detection accuracy,the running time is greatly reduced.The study shows that the method used can be used to classify 3D point cloud data of transmission lines.High-precision construction of power line 3D model can detect the dangerous points efficiently and accurately,and then effectively analyze the hidden dangers of transmission lines to tree-block.