Live detection method of transmission line piezoelectric tube defects based on UAV

Jiehao Li; Dewen Chen; Jinge Li; Chen Zeng

doi:10.1117/12.2671301

28 April 2023 Live detection method of transmission line piezoelectric tube defects based on UAV

Jiehao Li, Dewen Chen, Jinge Li, Chen Zeng

Proceedings Volume 12610, Third International Conference on Artificial Intelligence and Computer Engineering (ICAICE 2022); 1261008 (2023) https://doi.org/10.1117/12.2671301
Event: Third International Conference on Artificial Intelligence and Computer Engineering (ICAICE 2022), 2022, Wuhan, China

Abstract

Due to installation technology, secondary span oscillation, galloping, icing and other factors in transmission lines, crimping pipes are prone to many defects. Because of the height problem, it isn't easy to detect it. Therefore, this paper designs a live detection method based on the Unmanned Aerial Vehicle (UAV) for the defects of transmission line crimping tubes. The quadrotor UAV intended in this paper comprises a flight control system, fuselage, power and energy devices, etc. It is used to carry imaging systems and detection equipment. The image processing software designed in this paper preprocesses the image to obtain a precise fault location. A digital imaging system of an X-ray machine with live working is created, which is mounted on the UAV to collect the images of the defects of power transmission line crimping tubes. The UAV is equipped with live detection equipment for crimping tube defects to realize the nondestructive live detection of defects such as scratches on the steel core surface of crimping tubes and broken steel core strands. The test results show that this method has a low error detection rate for both functional and technological defects and realizes comprehensive defect detection.

Citation Download Citation

Jiehao Li, Dewen Chen, Jinge Li, and Chen Zeng "Live detection method of transmission line piezoelectric tube defects based on UAV", Proc. SPIE 12610, Third International Conference on Artificial Intelligence and Computer Engineering (ICAICE 2022), 1261008 (28 April 2023); https://doi.org/10.1117/12.2671301

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