Abstract
Abstract. Smart grid construction puts higher demands on the construction of 3D models of substations. However, duo to the complex and diverse structures of substation facilities, it is still a challenge to extract the fine three-dimensional structure of the substation facilities from the massive laser point clouds. To solve this problem, this paper proposes a method for extracting substation equipment from laser scanning point clouds. Firstly, in order to improve the processing efficiency and reduce the noises, the regular voxel grid sampling method is used to down-sample the input point cloud. Furthermore, the multi-scale morphological filtering algorithm is used to segment the point cloud into ground points and non-ground points. Based on the non-ground point cloud data, the substation region is extracted using plane detection in point clouds. Then, for the filtered substation point cloud data, a three-dimensional polygon prism segmentation algorithm based on point dimension feature is proposed to extract the substation equipment. Finally, the substation LiDAR point cloud data collected by the UAV laser scanning system is used to verify the algorithm, and the qualitative and quantitative comparison analysis between the detected results and the manually extracted results are carried out. The experimental results show that the proposed method can accurately extract the substation equipment structure from the laser point cloud data. The results are consistent with the manually extracted results, which demonstrate the great potential of the proposed method in substation extraction and power system 3D modelling applications.
Highlights
In the digital era, smart grid construction puts forward higher demands on substation engineering construction (Guo et al, 2013; Zhang et al, 2013)
How to extract the fine threedimensional structure of substation facilities from massive laser point cloud data is still an important problem to be solved in terms of the construction of digital power grid
How to extract the fine three-dimensional structure of substation facilities from massive laser point cloud data is an important problem in digital power grid engineering construction
Summary
Smart grid construction puts forward higher demands on substation engineering construction (Guo et al, 2013; Zhang et al, 2013). Digital power grid is the data source of intelligent analysis and management for power grid, and it is the cornerstone of building smart grid. Through the development of corresponding digital modelling and design standards, and with the help of 3D digital design means, the digital achievements of new power grid project can be transferred. For the existing power grid, it is faced with many problems, such as outdated or incomplete design data, nonstandard construction earlier, which leads to the inconsistency between the design and the final construction results. It is necessary to use efficient three-dimensional model acquisition means to collect the actual construction scene data for accurate as-built model building, to provide the digital data basis for the construction of the smart grid (Tang et al, 2009, Lv et al, 2016)
Sign-in/Register to view highlights & summary Sign-in/Register to access full text options 
Free) 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a call
