A large percentage of current overhead power transmission infrastructure is becoming aged, raising the demand for frequent grid inspections in an efficient, and cost-effect manner in order to keep it functional. Autonomous drones are a promising solution for infrastructure inspection, but require further investigation and development to be a viable alternative. This paper proposes a drone framework based on open-source platforms for autonomous inspection of electrical grid infrastructure and for cable grasping. The framework incorporates a cloud service functionality to provide geo-location data of nearby power pylons; a localisation system for navigation near power pylons and grasping cables; and algorithms for finding and planning paths for navigation and grasping over cables. The proposed framework has been tested and validated in simulation, with the development of a UAV platform for future integration.


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    Title :

    Cloud to Cable:A Drone Framework for Autonomous Power line Inspection


    Contributors:

    Publication date :

    2020-10-08


    Remarks:

    Schofield , O B , Lorenzen , K H & Ebeid , E 2020 , Cloud to Cable : A Drone Framework for Autonomous Power line Inspection . in 2020 23rd Euromicro Conference on Digital System Design (DSD) . IEEE , pp. 503-509 , 2020 23rd Euromicro Conference on Digital System Design (DSD) , Kranj , Slovenia , 26/08/2020 . https://doi.org/10.1109/DSD51259.2020.00085



    Type of media :

    Article (Journal)


    Type of material :

    Electronic Resource


    Language :

    English



    Classification :

    DDC:    629



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