The Future Application of Transmission Line Automatic Monitoring and Deep Learning Technology Based on Vision

摘要

In order to ensure reliable and sustainable power transmission, the State Grid Corporation regularly monitors transmission lines and distribution grids, mainly by means of walking patrol or helicopter-assisted, which is inefficient, expensive and potentially dangerous. In recent years, researchers have carried out a lot of research on automatic vision monitoring technology using automatic helicopters, flying robots or crawling robots. But automatic vision monitoring technology is still not widely used because that it can't meet the requirements of high precision and high efficiency. This paper aims to provide a good reference for the realization of automatic transmission line vision monitoring. Firstly, the transmission line vision monitoring technology is reviewed extensively, and the existing methods, points of view, advantages and disadvantages are listed. Then we summarize the existing automatic vision monitoring system. On this basis, a new automatic transmission line vision monitoring scheme is proposed, which takes optical image as the main data source and deep learning as the back-end service of data analysis. The possibility and challenge of its implementation are given in a general way and focusing on the future development, this paper gives corresponding discussion for the implementation of this plan.