Dynamic Trajectory Adaptation for Efficient UAV Inspections of Wind Energy Units
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Дата
2024-11-26
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Видавець
IEEE, Inc.
Анотація
The research presents an automated method for determining the trajectory of an unmanned aerial vehicle (UAV) for wind turbine inspection. The proposed method enables efficient data collection from multiple wind installations using UAV optical sensors, considering the spatial positioning of blades and other components of the wind energy installation. It includes component segmentation of the wind energy unit (WEU), determination of the blade pitch angle, and generation of optimal flight trajectories, considering safe distances and optimal viewing angles. The results of computational experiments have demonstrated the advantage of the proposed method in monitoring WEU, achieving a 78% reduction in inspection time, a 17% decrease in total trajectory length, and a 6% increase in average blade surface coverage compared to traditional methods. Furthermore, the process minimizes the average deviation from the optimal trajectory by 68%, indicating its high accuracy and ability to compensate for external influences.
Опис
Ключові слова
unmanned aerial vehicles, wind turbine inspection, automated trajectory determination, dynamic trajectory adaptation, image segmentation, computer vision, optical sensors, wind energy unit
Бібліографічний опис
Dynamic trajectory adaptation for efficient UAV inspections of wind energy units / S. Svystun et al. 2024 14th International Conference on Dependable Systems, Services and Technologies (DESSERT’2024) : Proceedings, Athens, Greece, 11–13 October 2024 / ed. by V. Kharchenko et al. New York, NY, USA, 2024. P. 1–7. URL: https://doi.org/10.48550/arXiv.2411.17534