Power-Line Extraction and Modelling from 3D Point Clouds Data Based on K-D Tree DBSCAN Algorithm

In order to achieve rapid extraction and modeling of power lines in substations, this paper proposes a method of power line extraction and modeling based on three-dimensional (3D) laser scanning point cloud data. First, the ground point is removed according to the elevation characteristics of the po...

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Bibliographic Details
Published in:Journal of electrical engineering & technology 2024, 19(5), , pp.3587-3597
Main Authors: Pan, Yi-Rong, Xia, Yong-Hua, Long, Li-Juan, Yang, Ming-long
Format: Article
Language:English
Subjects:
Electrical Engineering
Electrical Machines and Networks
Electronics and Microelectronics
Engineering
Instrumentation
Original Article
Power Electronics
전기공학
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Summary:In order to achieve rapid extraction and modeling of power lines in substations, this paper proposes a method of power line extraction and modeling based on three-dimensional (3D) laser scanning point cloud data. First, the ground point is removed according to the elevation characteristics of the power line point cloud; Then, using the improved Density-Based Spatial Clustering of Applications with Noise (DBSCAN) algorithm based on the k-dimensional tree (K-D tree) to achieve the extraction of the power line point cloud and the segmentation of the single power line point cloud; finally, the centerline of power line is extracted by centerline fitting, and the 3D model of power line is reconstructed by path lofting method. The experimental results show that the method could extract the power line point cloud accurately and effectively, with the extraction rate of over 96%, and the construction efficiency of the 3D power line model is improved.
ISSN:1975-0102
2093-7423
DOI:10.1007/s42835-023-01641-6