Power line automatic extraction method based on LiDAR point cloud data

Abstract

The invention provides a power line automatic extraction method based on LiDAR point cloud data, and the method comprises the following steps: S1, obtaining the point cloud data of a power transmission line, and carrying out the preprocessing of the original LiDAR point cloud data; S2, processing the preprocessed point cloud data based on the grid height difference and the elevation threshold, andseparating the power line point cloud from the non-power line point cloud to extract the power line point cloud; S3, further optimizing and extracting the extracted power line point cloud by utilizing a Hough transform identification straight line model thought; and S4, according to the extracted power line point cloud data, utilizing a quadratic polynomial model to carry out piecewise fitting oneach grade of wire to obtain a reconstructed power line model. According to the power line automatic extraction method based on the LiDAR point cloud data, automatic extraction and reconstruction ofthe power line in the LiDAR point cloud data are realized, the classification efficiency of the laser radar point cloud data is greatly improved, and the power line automatic extraction method based on the LiDAR point cloud data has important significance for transformation of a power transmission line, hidden danger analysis and troubleshooting of the line.

Description

technical field [0001] The invention belongs to the technical field of electric power inspection, and in particular relates to an automatic power line extraction method based on LiDAR point cloud data. Background technique [0002] At present, research has applied lidar technology to power inspections. The high-precision 3D point cloud data collected by this technology can quickly obtain accurate 3D spatial information and 3D models of power line corridors, so as to accurately calculate the ground objects of power line corridors (especially It is the distance between vegetation and buildings) to power lines and the distance between power lines, etc., to detect defects in time, realize automatic monitoring of dangerous areas, and provide rapid spatial data acquisition support for power grid design and management. [0003] Many scholars have made some achievements in the automatic extraction of power lines, but further analysis found that after preprocessing the lidar point cl...

AI Technical Summary

Problems solved by technology

[0003] Many scholars have made some achievements in the automatic extraction of power lines, but further analysis found that after preprocessing the lidar point cloud data, some studies realized the extraction of power lines through iterative Hough transform, but did not consider the loss after preprocessing. Power line points, and the linear detection through the Hough transform cannot remove the noise points on the same vertical plane as the power line points, and it is easy to misclassify the power line points close to the vegetation as non-power line points

At present, the research on power line extraction based on lidar point cloud generally has the defects of complex data preprocessing, high calculation intensity, and difficulty in automation.

In addition, the current algorithms are mostly suitable for the extraction and reconstruction of high-density point clouds, and there are certain limitations for power lines with low point cloud density.

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