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Title: Early warning and decision-making model of geological disaster damage of transmission lines based on intelligent online monitoring technology

Authors: Yong Yang; Xiaoqin Zhu; Xi Song; Hehui Zhang; Xun Zhang

Addresses: State Grid Gansu Electric Power Research Institute, Lanzhou, China ' State Grid Gansu Electric Power Research Institute, Lanzhou, China ' State Grid Gansu Electric Power Company, Lanzhou, China ' State Grid Gansu Electric Power Research Institute, Lanzhou, China ' State Grid Gansu Electric Power Research Institute, Lanzhou, China

Abstract: In adverse weather conditions, using the naked eye or actual measurement to determine the abnormal situation of transmission lines can accumulate a large amount of data and experience in manual measurement. In order to improve the operational stability of transmission lines, this paper proposes a dictionary learning based dance reconstruction method for transmission lines. The transmission lines are treated as curves in three dimensional spaces and the sparsity of dancing wires is analysed. The points on the transmission lines are treated as three-dimensional coordinate points, and the dance information of the transmission lines is analysed. Through the analysis of experimental results, it can be seen that the acceleration and angular velocity errors caused by geological disasters detected by the intelligent online monitoring technology model proposed in this paper are within a reasonable range, and reliable decision-making suggestions can be made after geological disasters occur.

Keywords: online monitoring; transmission line; geological disasters; early warning; decision-making.

DOI: 10.1504/IJICT.2024.139109

International Journal of Information and Communication Technology, 2024 Vol.24 No.7, pp.65 - 89

Received: 04 Jan 2024
Accepted: 16 Apr 2024
Published online: 13 Jun 2024 *