Paper
13 May 2024 Research on the application technology of UAV in restoring electricity in residential area
Xu Chen, Yanan Li, Xu Chen, Gaomeng Jia, Manman Zhu, Lin Li
Author Affiliations +
Proceedings Volume 13159, Eighth International Conference on Energy System, Electricity, and Power (ESEP 2023); 13159AE (2024) https://doi.org/10.1117/12.3024681
Event: Eighth International Conference on Energy System, Electricity and Power (ESEP 2023), 2023, Wuhan, China
Abstract
This research explores the application of Unmanned Aerial Vehicles (UAV) technology in the restoration of electricity in residential areas. We begin by posing the research question: how to enhance the efficiency and accuracy of emergency repairs in power systems. Next, the method involving the use of UAVs for fault detection and data transmission is introduced, with a special emphasis on the roles of 5G communication and deep learning technologies. The effectiveness of this approach is validated through experiments and data analysis. Finally, we conclude that UAV technology significantly improves the response speed and accuracy of emergency repairs in power systems, showcasing its potential in future power system management.
(2024) Published by SPIE. Downloading of the abstract is permitted for personal use only.
Xu Chen, Yanan Li, Xu Chen, Gaomeng Jia, Manman Zhu, and Lin Li "Research on the application technology of UAV in restoring electricity in residential area", Proc. SPIE 13159, Eighth International Conference on Energy System, Electricity, and Power (ESEP 2023), 13159AE (13 May 2024); https://doi.org/10.1117/12.3024681
Advertisement
Advertisement
RIGHTS & PERMISSIONS
Get copyright permission  Get copyright permission on Copyright Marketplace
KEYWORDS
Unmanned aerial vehicles

Data transmission

Detection and tracking algorithms

Image processing

Feature extraction

Convolution

Deep learning

Back to Top