Design and optimization of joint inspection system for transmission transformer and distribution equipment based on UAV technology

Ying Zhang; Yun Chen; Duanjiao Li

doi:10.1117/12.3047960

16 January 2025 Design and optimization of joint inspection system for transmission transformer and distribution equipment based on UAV technology

Ying Zhang, Yun Chen, Duanjiao Li

Author Affiliations +

Proceedings Volume 13447, International Conference on Mechatronics and Intelligent Control (ICMIC 2024); 1344711 (2025) https://doi.org/10.1117/12.3047960
Event: International Conference on Mechatronics and Intelligent Control (ICMIC 2024), 2024, Wuhan, China

Abstract

In this paper a transmission line inspection system based on multi-rotor unmanned aerial vehicle is designed. Using the images captured by the camera on the Linux platform the data is sent from the bridge to the base on the surface. The main platform of this system is a tablet computer that supports both Windows and Linux. An embedded system with Linux as the core is designed which uses digital HD camera to collect images and then sends images to the surface by using 2.4GHz network bridge to achieve wireless transmission of high-definition images. The overall hardware architecture is composed of multi-rotor UAV components core control microcontroller high-definition video module wireless bridge and land base station. The modular layered isolation method is adopted to ensure the efficiency and accuracy of the system. The experimental results show that this method has strong real-time performance and high precision. It can transmit high-definition image at a small cost and help the fast detection of power grid.

(2025) Published by SPIE. Downloading of the abstract is permitted for personal use only.

Citation Download Citation

Ying Zhang, Yun Chen, and Duanjiao Li "Design and optimization of joint inspection system for transmission transformer and distribution equipment based on UAV technology", Proc. SPIE 13447, International Conference on Mechatronics and Intelligent Control (ICMIC 2024), 1344711 (16 January 2025); https://doi.org/10.1117/12.3047960

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