• DocumentCode
    2705402
  • Title

    A condition monitoring algorithm based on image geometric analysis for substation switch

  • Author

    Jicang Lu ; Hui Lin ; Weizheng Zhang ; Xiaowei Shi

  • Author_Institution
    Zhengzhou Inf. Sci. & Technol. Inst., Zhengzhou, China
  • fYear
    2015
  • fDate
    17-18 Jan. 2015
  • Firstpage
    72
  • Lastpage
    76
  • Abstract
    For the problem of real-time monitoring and condition decision of high-voltage substation switches, a real-time monitoring algorithm is proposed for the substation folded switch based on geometric analysis of monitoring images. Firstly, capture images containing the folded switch using the properly installed camera, and transfer them to the data processing terminal. Then, search for straight line segments representing two arms of switch using the method of image contour description, and calculate the angles between the segments using the cosine theorem. At last, determine the condition of the switch that whether it is closed well. The experimental results show that the proposed method could accurately calculate the real-time angle of the switch, and then achieve unmanned and real-time monitoring for condition of the switch.
  • Keywords
    condition monitoring; image processing; substation protection; switchgear; camera; condition decision; condition monitoring algorithm; cosine theorem; data processing terminal; high-voltage substation switches; image contour description method; image geometric analysis; real-time monitoring algorithm; substation folded switch; Artificial neural networks; Companies; Image edge detection; Monitoring; Programming; Real-time systems; Switches; angle measuring; condition monitoring; folded switch; geometric analysis; substation;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Intelligent Computing and Internet of Things (ICIT), 2014 International Conference on
  • Conference_Location
    Harbin
  • Print_ISBN
    978-1-4799-7533-4
  • Type

    conf

  • DOI
    10.1109/ICAIOT.2015.7111541
  • Filename
    7111541