Research on vision-based UAV power line detection technology

Abstract

Abstract In order to ensure the reliability and safety of the power grid operation, the power company will carry out regular inspection of the transmission line network. The traditional inspection method is generally manual inspection by foot patrol, which is not only slow but also time-consuming and laborious. In recent years, with the development of unmanned aerial vehicle(UAV) and unmanned vehicle control technology and the improvement of inspection accuracy, UAV technology has been widely used in the intelligent inspection of power grid. In order to ensure the reliability and safety of power grid operation in the complex and huge power grid system, in order to find the fault of transmission line as soon as possible and give feedback, The UAV detection technology with image recognition technology has become an urgent need for the development of power system. The vision-based UAV power line detection technology has a wide range of application prospects. In this paper, the relevant literature in recent years is reviewed extensively, and the status quo of vi-sion-based UAV detection technology is reviewed. This paper summarizes the existing power line detection methods, the system structure of UAV power line detection and the image recognition technology of data acquisition, and focuses on the development of transmission line data processing technology based on deep learning, in order to provide a starting point for researchers to develop automatic autonomous intelligent inspection of transmission line system. Finally, the development of this field and the next possible challenges are discussed, and the future is prospected.