Article: Monitoring and early warning of regional subsidence of transmission lines based on time series algorithm Journal: International Journal of Information and Communication Technology (IJICT) 2025 Vol.26 No.2 pp.1 - 22 Abstract: This paper models the monitoring and early warning task of surface subsidence in the high-voltage line tower area, this study uses PS-InSAR technology to preprocess the clipped satellite remote sensing images to obtain surface subsidence datathe predicted values and deformation curves are basically coincident, and the trend of change is basically consistent. The absolute error of settlement prediction is less than 1%, indicating high prediction accuracy. From the experiment, it can be seen that this improvement effectively improves the system accuracy and reduces prediction errors. From the experimental results, it can be seen that the monitoring and early warning model of regional subsidence of transmission line based on the time series algorithm proposed in this paper has a certain effect, and can meet the needs of monitoring and early warning of regional subsidence of transmission lines. Inderscience Publishers - linking academia, business and industry through research

Title: Monitoring and early warning of regional subsidence of transmission lines based on time series algorithm

Authors: Lin Guo; Ge Liu; Shaolei Chen; Xiaolei Zhang; Xu Lu

Addresses: State Grid Sichuan Electric Power Company, Chengdu, China ' State Grid Sichuan Electric Power Company, Chengdu, China ' State Grid Sichuan Electric Power Company, Chengdu, China ' State Grid Sichuan Electric Power Company, Chengdu, China ' State Grid Sichuan Neijiang Power Supply Company, Neijiang, China

Abstract: This paper models the monitoring and early warning task of surface subsidence in the high-voltage line tower area, this study uses PS-InSAR technology to preprocess the clipped satellite remote sensing images to obtain surface subsidence datathe predicted values and deformation curves are basically coincident, and the trend of change is basically consistent. The absolute error of settlement prediction is less than 1%, indicating high prediction accuracy. From the experiment, it can be seen that this improvement effectively improves the system accuracy and reduces prediction errors. From the experimental results, it can be seen that the monitoring and early warning model of regional subsidence of transmission line based on the time series algorithm proposed in this paper has a certain effect, and can meet the needs of monitoring and early warning of regional subsidence of transmission lines.

Keywords: time series; transmission lines; regional subsidence; monitoring; early warning.

DOI: 10.1504/IJICT.2025.144052

International Journal of Information and Communication Technology, 2025 Vol.26 No.2, pp.1 - 22

Received: 23 Jul 2024
Accepted: 26 Sep 2024
Published online: 22 Jan 2025 *

Title: Monitoring and early warning of regional subsidence of transmission lines based on time series algorithm

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