Author:
Wan Dai,Zhao Miao,Zhou Hengyi,Qi Fei,Chen Xin,Liang Guanxuan
Abstract
Abstract
With the continuous improvement of UAV manufacturing level, it is more and more widely used in various fields. In recent years, unmanned aerial vehicle (UAV) inspection technology has been widely used in transmission lines above 110kV voltage level, and achieved good application results. However, because the operation of 10kV distribution line is much more complex than that of high-voltage transmission line, and the standardization of distribution equipment is low, the application effect of UAV inspection technology on distribution line is always unsatisfactory. Although some power enterprises have made continuous attempts, they have never formed an efficient and applicable UAV inspection technology system for distribution lines. In this paper, the operation characteristics of distribution lines and the existing working mode of manual inspection are deeply analyzed. At the same time, combined with the technologies of UAV carrying, attitude sensing and front-end identification, a practical implementation strategy of UAV patrol inspection of distribution line is proposed. It has guiding significance for expanding the application field of UAV and improving the efficiency of distribution line inspection.
Subject
General Physics and Astronomy
Reference5 articles.
1. A random chemical reaction optimization algorithm based on dual containers strategy for multi-rotor UAV path planning in transmission line inspection[J];Yang;Concurrency and Computation: Practice and Experience,2019
2. Optimized artificial potential field algorithm to multi-unmanned aerial vehicle coordinated trajectory planning and collision avoidance in three-dimensional environment[J];Tang;Proceedings of the Institution of Mechanical Engineers,2019
3. Modified central force optimization (MCFO) algorithm for 3D UAV path planning[J];Chen;Neurocomputing,2016
4. The Use of Dijkstra’s Algorithm in Assessing the Correctness of Imaging Brittle Damage in Concrete Beams by Means of Ultrasonic Transmission Tomography[J];Zbigniew;Materials (Basel, Switzerland),2020
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