无人机集群在配电网路线中的智能检测与应用

Jianzhong Wang, Hongwei Bai, Suchao Wang, Qiushi Ru, Quanwei Yang, Jin Yuan, Lin Zhou
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引用次数: 0

摘要

结合数字孪生技术和北斗定位技术,提出将无人机集群应用于配电网线路自动巡检,为电网线路的及时巡检和正确评估提供有力保障。为了实现配电网路线的智能巡检,本文在无人机集群的基础上,进一步将数字孪生技术、北斗网格定位技术和遗传算法相结合。在无人机巡检过程中,采用北斗网格编码进行快速准确定位,生成数字孪生路线图进行巡检路线规划,实现智能无人机集群在配电网路线上的自动巡检方案。与现有技术相比,本文提出的技术方案具有精度更高、检测效率更高、工作过程更安全等优点。凸显了无人机集群技术应用于智能电网的优势,促进了智能电网建设的发展。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Intelligent Inspection and Application of UAV Cluster in the Distribution Network Route
Combined with digital twin technology and Beidou positioning technology, this paper proposes to apply UAV cluster to automatic inspection of distribution network routes, so as to provide a strong guarantee for timely inspection and correct evaluation of power grid lines. In order to realize the intelligent inspection of the distribution network route, based on the UAV cluster, this paper further combines the digital twin technology, Beidou grid positioning technology and genetic algorithm. In the process of UAV inspection, Beidou grid coding is used for fast and accurate positioning, and the digital twin route map is generated for inspection route planning to realize the automatic inspection scheme of intelligent UAV cluster in the distribution network route. Compared with the existing technology, the technical scheme proposed in this paper has the advantages of better accuracy, higher detection efficiency and safer working process. It highlights the advantages of UAV cluster technology applied to smart grid and promotes the development of smart grid construction.
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