With the rapid development of UAV science and technology, its application fields are wide, and the direction of electric power inspection as an emerging field, its application is also essential. This paper researches and designs a power inspection UAV system. The power inspection UAV system uses particle swarm algorithm to plan the optimal route and avoid roadblocks, inputs the optimal route into the UAV navigation system, and inspects according to the regulations, the on- board thermal imaging camera, uploads the images and videos to the cloud in real time and analyzes them, and utilizes the 5G communication system RTK differential equipment to accurately locate the place where the fault occurs; and carries out a lightweight design of the inspection prototype UAV, to enhance the power inspection UAV range time. Thus, it promotes the rapid development of intelligentization of UAV power inspection system and provides design basis for the indepth research of UAV power system.


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    Titel :

    Research on Unmanned Aircraft Power Inspection Path Planning Based on Particle Swarm Algorithm


    Beteiligte:
    Zhang, Weihao (Autor:in) / Chen, Bojian (Autor:in) / Wu, Wenbin (Autor:in) / Wang, Fang (Autor:in) / Xu, Anan (Autor:in) / Gao, Cheng (Autor:in)


    Erscheinungsdatum :

    21.03.2025


    Format / Umfang :

    1145156 byte




    Medientyp :

    Aufsatz (Konferenz)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch



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