• DocumentCode
    3157671
  • Title

    The research application of inspection robot for the smart grid

  • Author

    Xiaojie, Zhou ; Yi, Ruan ; Jian, Zong

  • Author_Institution
    Coll. of Mechatron. Eng. & Autom., Shanghai Univ., Shanghai, China
  • fYear
    2011
  • fDate
    16-18 April 2011
  • Firstpage
    2776
  • Lastpage
    2779
  • Abstract
    Catering to the new strategic project of smart grid, this paper introduces a design of high-voltage transmission inspection robot, which worked on earth wire and so that automatically inspection on the entire transmission line becomes the reality. Robot control system using hierarchical control structure, included remote management host, robot control ontology and motor drives. Under the auto-operation mode, it makes its own decisions for planning the sequence of operations according to knowledge data base without the upper layer´s involvement. Using image recognition obstacle and expert data base, the combined method of using laser sensor over obstacles, the inspection robot autonomous obstacle had came true. The experiment and test results show that the inspection robot system has possessed the capabilities of navigation and inspection tasks on the power lines. It has a good application prospect.
  • Keywords
    collision avoidance; image recognition; inspection; mobile robots; ontologies (artificial intelligence); power transmission lines; smart power grids; earth wire; expert data base; hierarchical control structure; high voltage transmission inspection robot; image recognition obstacle data base; laser sensor; motor drives; remote management host; robot control ontology; smart grid; transmission line; Control systems; Inspection; Planning; Robot sensing systems; Service robots; Smart grids; Expert data base; Surmount obstacle; high voltage transmission; image identification; inspection robot; smart grid;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Consumer Electronics, Communications and Networks (CECNet), 2011 International Conference on
  • Conference_Location
    XianNing
  • Print_ISBN
    978-1-61284-458-9
  • Type

    conf

  • DOI
    10.1109/CECNET.2011.5768706
  • Filename
    5768706