3D Feature Extraction Of Power Transmission Corridor Based On Airborne LiDAR Point Clouds

Electric power is the essential energy in the modern society.It can be said that the supply of electricity is related to the national economy,national defense and people’s livelihood.The development of airborne lidar measurement technology provides a new technical means for surveying and mapping.In the field of Surveying and mapping,laser radar technology is a technological revolution since GPS.At present,the technology has been widely used,especially in the field of Engineering monitoring.Among them,the inspection and maintenance of power transmission network is one of the mainstream applications.In this paper,we use the airborne laser point cloud data to carry out the inspection and inspection of the hidden danger in the power corridor.Specific research contents are as follows:(1)Put forward the tower blind positioning and re-positioning algorithm based on point cloud density characteristics.The algorithm finds potential area where electric power may located by analyzing the characteristics of transmission line passing through the area with a large slope,large height,to exclude the impact of high buildings and big trees;on the basis of high density character of electric power cloud clusters,automatic position tower target in drone laser point clouds.Proved by experiment,the algorithm can extract fast and accurately center of pylon in point cloud data.(2)A semantic based power corridor classification framework and a series of classification method based on tower point cloud and line features are proposed.The classification framework of power corridor has designed according character and structure of each classes.Line point cloud classification algorithm proposed in this paper,using the histogram feature with priori constraints of model.After the experiment,the algorithm achieve high performance on classification between target line and ground points.After testing the forest,mountains,reservoirs,crossing and other scenes,it were pretty stable.(3)An improvement of powerline based on 2D catenary model and an iterative segmentation and fitting algorithm for power line model is proposed.Through the iteration of segmentation step and the the fitting step,the global optimization model is gradually approached.The experimental results show that the proposed algorithm can achieve stable results and robust performance in the point cloud data with poor data quality.The hanging point positioning algorithm is proposed in this paper,which can make the power line curve model more accurate and complete.The model can be used to perform the inversion of the working conditions,the simulation of the working conditions,and the investigation of the hidden dangers of high precision power lines.Finally,this paper studies the topological relationship between the independent power line objects in the cross section,and puts forward the method of topological reconstruction.Based on the analysis of the relationship between the line and the line,the tower and the tower,the tower and the line,the topological relationship of all the key elements in the power corridor is established.