Drone path planning for 500KV transmission tower inspection

Zhengzheng Liu, Qiyue Xie
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Abstract

For the inspection of large-scale transmission towers, most of the traditional inspections are manual, which often have problems such as long working hours, harsher working environments, and the need for large amounts of manpower and material resources. With the development of UAV, and image processing technology, the inspection of transmission towers based on rotor UAVs has achieved great development. To meet the application requirements of overhead line inspection of distribution network, the use of UAV inspection technology is proposed. We built a model to optimize inspection and find a good inspection route for UAV visual inspection of transmission towers. The goal of this model is to maximize a function that incorporates the three performances of time of flight, image quality, and tower coverage. This paper uses Particle Pwarm Optimization algorithm based on UAV inspection of transmission towers to solve the problem. The experiment proves that the scheme proposed in this paper can well provide excellent flight routes for UAV inspection of large high voltage towers
500KV输电塔巡检无人机路径规划
对于大型输电塔的巡检,传统的巡检方式多为人工巡检,往往存在工作时间长、工作环境恶劣、需要大量人力物力等问题。随着无人机和图像处理技术的发展,基于旋翼无人机的输电塔检测得到了很大的发展。针对配电网架空线路巡检的应用需求,提出了无人机巡检技术的应用。建立了无人机对输电塔进行目视检测的优化检测模型,找到了较好的检测路径。该模型的目标是最大化一个函数,该函数结合了飞行时间、图像质量和塔覆盖三种性能。本文采用基于无人机对输电塔巡检的粒子Pwarm优化算法来解决这一问题。实验证明,本文提出的方案能够很好地为无人机对大型高压塔的巡检提供优良的飞行路线
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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