{"title":"Design of UAV Image Transmission System Based on Region of Interest Coding","authors":"Wenyue Li, Lingchun Meng","doi":"10.1109/ISPDS56360.2022.9874014","DOIUrl":null,"url":null,"abstract":"With the rapid development of the power industry, the scale of our country's power grid continues to expand, and transmission lines spread all over the country. The stability of transmission lines is one of the important factors to ensure stable power supply. The working environment of power transmission equipment is relatively harsh. Compared with other industrial sectors, transmission line failures are more dangerous and require higher stability. In order to ensure the stable operation of the power system, it is necessary to conduct regular inspections on the transmission lines. With the development of UAV technology and image processing technology, UAV line inspection technology based on video processing has become the most popular way of inspection of transmission lines. As a new operation and maintenance method in the power industry, the UAV line inspection system not only reduces the work intensity of transmission line operation and maintenance personnel, but also improves the quality, benefit and efficiency of inspections. It will be the main focus of transmission line operation and maintenance management in the future. Aiming at the problems such as unclear inspection interface and inconspicuous target focus caused by limited bandwidth when UAV patrols the line, this paper proposes a UAV image transmission system based on region of interest (ROI) coding. The system can effectively improve the clear reading of the target, thereby improving the effect and quality of the line inspection without increasing the total bandwidth.","PeriodicalId":280244,"journal":{"name":"2022 3rd International Conference on Information Science, Parallel and Distributed Systems (ISPDS)","volume":"41 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2022-07-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2022 3rd International Conference on Information Science, Parallel and Distributed Systems (ISPDS)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ISPDS56360.2022.9874014","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 1
Abstract
With the rapid development of the power industry, the scale of our country's power grid continues to expand, and transmission lines spread all over the country. The stability of transmission lines is one of the important factors to ensure stable power supply. The working environment of power transmission equipment is relatively harsh. Compared with other industrial sectors, transmission line failures are more dangerous and require higher stability. In order to ensure the stable operation of the power system, it is necessary to conduct regular inspections on the transmission lines. With the development of UAV technology and image processing technology, UAV line inspection technology based on video processing has become the most popular way of inspection of transmission lines. As a new operation and maintenance method in the power industry, the UAV line inspection system not only reduces the work intensity of transmission line operation and maintenance personnel, but also improves the quality, benefit and efficiency of inspections. It will be the main focus of transmission line operation and maintenance management in the future. Aiming at the problems such as unclear inspection interface and inconspicuous target focus caused by limited bandwidth when UAV patrols the line, this paper proposes a UAV image transmission system based on region of interest (ROI) coding. The system can effectively improve the clear reading of the target, thereby improving the effect and quality of the line inspection without increasing the total bandwidth.