Topological Image Reconstruction of Regular Grounding Network Based on Hough Transform

Abstract

In order to ensure the normal operation of substation equipment, it is necessary to periodically diagnose the corrosion of the grounding grid. Due to the expansion and daily maintenance of the substation, the topology of the grounding grid is often changed, so it is necessary to extract and obtain the topology of the grounding grid. However, most studies mainly use image processing to obtain the topology of the grounding grid, and the obtained topology has the problems of image blurring, noise, and conductor alignment bending. In this article, we propose a topology detection method with local peak algorithm and Hough line segment reconstruction for regular grounded networks. The method first adopts the local peak algorithm to realize the extraction of the characteristic points of the grounding grid in the measurement area according to the distribution trend of the magnetic response signal formed by the current-carrying conductor on the ground surface, and the method effectively eliminates the noise interference within the topology. Then, the Hough transform is used to detect the geometric information in the feature point map, and the straight lines in the feature point map are reconstructed to obtain the reconstructed image of the grounding grid topology. Experiments show that the Hough line segment detection can well suppress the line segment bending and noise problems and improve the imaging effect of the grounding grid topology.