• DocumentCode
    498414
  • Title

    Computer Vision Based Vacuum Circuit-Breaker´s Stroke Parameter Automatic Measurement

  • Author

    Zhao, Shutao ; Chi, Jing ; Li, Baoshu

  • Author_Institution
    North China Electr. Power Univ., Baoding, China
  • Volume
    2
  • fYear
    2009
  • fDate
    19-21 May 2009
  • Firstpage
    223
  • Lastpage
    227
  • Abstract
    In order to solve the existing deficiencies of measuring the vacuum circuit-breakerpsilas stroke parameter, this paper proposes a new non-contact measurement method based on modern computer vision technology. Firstly, during the movement of switching operation of the vacuum circuit-breaker, CCD camera is utilized as the detect sensor to capture special images with specific screw fixed in the moving conduction-bar; secondly, the quality of the images is enhanced by image preprocessing, such as image filter, enhancement and distorted calibration etc.; and then recognizing the position of the specific screwpsilas axes by using template matching technique; at last calculating stroke parameter value according to the axespsila displacement and translate to the real-world results. The experimental results shows that the proposed method not only can realize a non-contact measurement of the vacuum circuit-breakerpsilas stroke parameter, but also can meet the needs of quickly and precise measuring in power test field experiment.
  • Keywords
    CCD image sensors; computer vision; image enhancement; image matching; vacuum circuit breakers; CCD camera; computer vision technology; image enhancement; image preprocessing; image recognition; image sensor; noncontact measurement method; switching operation; template matching technique; vacuum circuit-breakers stroke parameter automatic measurement; Calibration; Charge coupled devices; Charge-coupled image sensors; Circuit testing; Computer vision; Fasteners; Matched filters; Power measurement; Switching circuits; Vacuum technology; computer vision; stroke parameter; template matching; vacuum circuit-breaker;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Intelligent Systems, 2009. GCIS '09. WRI Global Congress on
  • Conference_Location
    Xiamen
  • Print_ISBN
    978-0-7695-3571-5
  • Type

    conf

  • DOI
    10.1109/GCIS.2009.331
  • Filename
    5209435