Paper
10 August 2023 Drone path planning for 500KV transmission tower inspection
Zhengzheng Liu, Qiyue Xie
Author Affiliations +
Proceedings Volume 12748, 5th International Conference on Information Science, Electrical, and Automation Engineering (ISEAE 2023); 1274847 (2023) https://doi.org/10.1117/12.2689805
Event: 5th International Conference on Information Science, Electrical and Automation Engineering (ISEAE 2023), 2023, Wuhan, China
Abstract
For the inspection of large-scale transmission towers, most of the traditional inspections are manual, which often have problems such as long working hours, harsher working environments, and the need for large amounts of manpower and material resources. With the development of UAV, and image processing technology, the inspection of transmission towers based on rotor UAVs has achieved great development. To meet the application requirements of overhead line inspection of distribution network, the use of UAV inspection technology is proposed. We built a model to optimize inspection and find a good inspection route for UAV visual inspection of transmission towers. The goal of this model is to maximize a function that incorporates the three performances of time of flight, image quality, and tower coverage. This paper uses Particle Pwarm Optimization algorithm based on UAV inspection of transmission towers to solve the problem. The experiment proves that the scheme proposed in this paper can well provide excellent flight routes for UAV inspection of large high voltage towers
© (2023) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Zhengzheng Liu and Qiyue Xie "Drone path planning for 500KV transmission tower inspection", Proc. SPIE 12748, 5th International Conference on Information Science, Electrical, and Automation Engineering (ISEAE 2023), 1274847 (10 August 2023); https://doi.org/10.1117/12.2689805
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KEYWORDS
Inspection

Unmanned aerial vehicles

Image quality

Image resolution

Particle swarm optimization

Particles

Image sensors

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