Sag measurement method of overhead transmission line based on image processing technology

Zhen Chen; Naiwen Xu; Gang Liu; Hao Chang; Honglei Qu

doi:10.1117/12.3030218

5 June 2024 Sag measurement method of overhead transmission line based on image processing technology

Zhen Chen, Naiwen Xu, Gang Liu, Hao Chang, Honglei Qu

Proceedings Volume 13163, Fourth International Conference on Mechanical, Electronics, and Electrical and Automation Control (METMS 2024); 1316335 (2024) https://doi.org/10.1117/12.3030218
Event: International Conference on Mechanical, Electronics, and Electrical and Automation Control (METMS 2024), 2024, Xi'an, China

Abstract

Transmission line sag is an important index of safe and stable operation in the process of transmission line pay-off, and real-time monitoring has become an important research topic at home and abroad. In the process of pay-off, the tractive force and the change of pay-off environment may lead to the sag change of the transmission line. If the sag is too small, the tension of the wire will increase and the wire will break easily. If the sag is too large, the wire will dance easily. For the sag of overhead transmission line in the process of pay-off, how to measure the result quickly and accurately is an important problem. Based on computer vision technology and image processing technology, the feasibility of the scheme is determined by measuring and calculating the traverse sag of overhead transmission line.

(2024) Published by SPIE. Downloading of the abstract is permitted for personal use only.

Citation Download Citation

Zhen Chen, Naiwen Xu, Gang Liu, Hao Chang, and Honglei Qu "Sag measurement method of overhead transmission line based on image processing technology", Proc. SPIE 13163, Fourth International Conference on Mechanical, Electronics, and Electrical and Automation Control (METMS 2024), 1316335 (5 June 2024); https://doi.org/10.1117/12.3030218

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KEYWORDS

Image processing

Image transmission

Image enhancement

Tunable filters

Digital filtering

Edge detection

Histograms

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