Research Article
Research on Target Tracking Technology of UAV in Distribution Network Based on Deep Learning
@INPROCEEDINGS{10.1007/978-3-031-31733-0_44, author={Dai Wan and Simin Peng and Miao Zhao and Yingying Yi and Hengyi Zhou and WenHui Mo and Jingyang Wang}, title={Research on Target Tracking Technology of UAV in Distribution Network Based on Deep Learning}, proceedings={Smart Grid and Innovative Frontiers in Telecommunications. 7th EAI International Conference, SmartGIFT 2022, Changsha, China, December 10-12, 2022, Proceedings}, proceedings_a={SMARTGIFT}, year={2023}, month={5}, keywords={Distribution Network Unmanned Aerial Vehicle Target Tracking Deep Learning}, doi={10.1007/978-3-031-31733-0_44} }- Dai Wan
Simin Peng
Miao Zhao
Yingying Yi
Hengyi Zhou
WenHui Mo
Jingyang Wang
Year: 2023
Research on Target Tracking Technology of UAV in Distribution Network Based on Deep Learning
SMARTGIFT
Springer
DOI: 10.1007/978-3-031-31733-0_44
Abstract
With the rapid development ofunmanned aerial vehicle (UAV) technology, the application of UAV patrol inspection in the power grid side is becoming more and more popular. At present, the application of UAV inspection technology in the power transmission profession has become increasingly mature. However, there are still many problems in the application of UAV inspection technology in power distribution specialty. First, the operation environment of distribution lines is complex, and there are many vegetation and obstacles around the lines. In this case, the UAV is easy to touch foreign objects by mistake during flight, resulting in aircraft explosion. Second, the volume of distribution equipment is much smaller than that of transmission equipment. In this case, it is very difficult for UAV to identify the defects of distribution equipment. The above characteristics of distribution lines and equipment put forward higher requirements for the performance of UAV front-end target tracking and environmental recognition. In order to reduce the risk of blowing up and hanging up in the process of distribution line UAV inspection and improve the efficiency of UAV inspection, this paper carried out the research on the front-end target tracking and intelligent recognition technology of distribution network UAV Based on deep learning. The research results have guiding significance for improving the applicability of UAV patrol technology in the field of power distribution.
