Unmanned aerial vehicle transmission defect detection technology based on edge computing

• Autorzy: Chen Xi , Cheng Xumeng , Wu Nengcheng , Liu Xuanyou

Identyfikatory

DOI

10.29354/diag/194598

• Języki publikacji: EN

Abstrakty

EN

Defect identification of transmission lines has become a crucial step in ensuring the proper functioning of the current transmission system due to the ongoing growth of the power grid size. The study primarily concerns itself with the current shortcomings of unmanned aerial vehicle transmission defect detection, particularly in terms of image quality and other related issues. In response, an unmanned aerial vehicle transmission defect detection system based on edge computing has been proposed. This system employs edge computing networks and lightweight improvements, and finally, through the analysis of experimental data, the performance and detection effectiveness of the system are validated. The outcomes revealed that the accuracy of the model used for the study in detecting insulators is 0.05 higher than other models. The system was more effective in detecting normal insulators and abnormal insulators. The error of the system in detecting transmission line images was 0.18 lower than other algorithms, and the average percentage error was 0.20 lower compared to other model error values. This reveals that the system used in the study was able to improve the detection of transmission lines, and also improved the quality of the detected images. This is an excellent manual for enhancing UAV transmission line defect detection precision in the future.

Słowa kluczowe

EN

edge computing; transmission lines; unmanned aerial vehicle; defect detection; insulators

• Wydawca: Polskie Towarzystwo Diagnostyki Technicznej
• Czasopismo: Diagnostyka
• Rocznik: 2024
• Tom: Vol. 25, No. 4
• Strony: art. no. 2024408
• Opis fizyczny: Bibliogr. 25 poz., rys., tab.

Twórcy

autor

Chen Xi

• Fangchenggang Power Supply Bureau of Guangxi Power Grid Co., Ltd, Fangchenggang, 538001, China

• https://orcid.org/0009-0008-6517-0808

autor

Cheng Xumeng

• Fangchenggang Power Supply Bureau of Guangxi Power Grid Co., Ltd, Fangchenggang, 538001, China

• https://orcid.org/0009-0009-5673-4883

autor

Wu Nengcheng

• Fangchenggang Power Supply Bureau of Guangxi Power Grid Co., Ltd, Fangchenggang, 538001, China

• https://orcid.org/0009-0007-0659-3221

autor

Liu Xuanyou

• Fangchenggang Power Supply Bureau of Guangxi Power Grid Co., Ltd, Fangchenggang, 538001, China

• https://orcid.org/0009-0001-3207-5432

Bibliografia

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