Title: Detection method of icing thickness of overhead transmission lines based on canny algorithm

Authors: Yang Yang; Shenbing Hua; Hongxia Wang; Meng Li; Qifei He; Minguan Zhao; Yuanhao Wan; Shuyang Ma

Addresses: Xinjiang Power Transmission and Transformation Extreme Environment Operation and Testing Technology Autonomous Region Key Laboratory, Urumqi, 830000, China; State Grid Xinjiang Electric Power Co., Ltd., Electric Power Science Research Institute, Urumqi, 830000, China ' China Electric Power Research Institute Co., Ltd., Beijing, 100000, China ' Xinjiang Power Transmission and Transformation Extreme Environment Operation and Testing Technology Autonomous Region Key Laboratory, Urumqi, 830000, China; State Grid Xinjiang Electric Power Co., Ltd., Electric Power Science Research Institute, Urumqi, 830000, China ' Xinjiang Power Transmission and Transformation Extreme Environment Operation and Testing Technology Autonomous Region Key Laboratory, Urumqi, 830000, China; State Grid Xinjiang Electric Power Co., Ltd., Electric Power Science Research Institute, Urumqi, 830000, China ' Power Dispatch Control Center of State Grid Corporation of China, Beijing, 100031, China ' Xinjiang Power Transmission and Transformation Extreme Environment Operation and Testing Technology Autonomous Region Key Laboratory, Urumqi, 830000, China ' Xinjiang Power Transmission and Transformation Extreme Environment Operation and Testing Technology Autonomous Region Key Laboratory, Urumqi, 830000, China ' Xinjiang Power Transmission and Transformation Extreme Environment Operation and Testing Technology Autonomous Region Key Laboratory, Urumqi, 830000, China

Abstract: This study proposes a novel detection approach utilising the canny algorithm to address the low accuracy issues in traditional icing thickness detection on overhead transmission lines. Employing an unmanned aerial vehicle equipped with a camera for collecting icing images, noise interference is mitigated via compressive sensing theory. Converting the images into greyscale enables edge detection using the canny algorithm. Utilising random Hough transform for extracting edge lines, which are then fused with edge images for subsequent processing and ice thickness calculation. Experimental results validate the substantial enhancement in detection accuracy and efficiency for icing thickness detection on overhead transmission lines with the application of this method.

Keywords: canny algorithm; overhead transmission lines; thickness of ice cover; test method.

DOI: 10.1504/IJETP.2024.141389

International Journal of Energy Technology and Policy, 2024 Vol.19 No.3/4, pp.344 - 362

Received: 26 Sep 2023
Accepted: 26 Mar 2024
Published online: 10 Sep 2024 *

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