• DocumentCode
    1791086
  • Title

    Research on an Underground Electricity Cable Path Detection System

  • Author

    Jiang Shiming ; Han Cong ; Huang Tongcheng

  • Author_Institution
    Provincial Key Lab. of Informational Service for Rural Area of Southwestern Hunan, China
  • fYear
    2014
  • fDate
    25-26 Oct. 2014
  • Firstpage
    500
  • Lastpage
    504
  • Abstract
    A system of underground power cable path detection based on electromagnetic method is proposed, the system aim at the test site containing both running and non-running state of the cable, measure the three components of the magnetic field by three-axis high sensitivity magneto-resistive sensors above the ground, use pre-processing circuit to eliminate interference, then calculate the specific location of underground cables and the path toward by the magnetic field detection model, complete the intelligent path detection of the running and non-running cables. Mat lab and Multisim simulation verify the feasibility of the magnetic field detection model and pre-circuit, respectively, indicating that the system of underground power cable path intelligent detection has good practicality.
  • Keywords
    magnetic fields; power cables; sensors; underground cables; Matlab; Multisim simulation; electromagnetic method; intelligent path detection; interference; magnetic field detection model; preprocessing circuit; three-axis high sensitivity magneto-resistive sensors; underground electricity cable path detection system; underground power cable path intelligent detection; Frequency measurement; Magnetic fields; Magnetic sensors; Mathematical model; Underground power cables; Electromagnetic induction; Path detection; Power cable;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Intelligent Computation Technology and Automation (ICICTA), 2014 7th International Conference on
  • Conference_Location
    Changsha
  • Print_ISBN
    978-1-4799-6635-6
  • Type

    conf

  • DOI
    10.1109/ICICTA.2014.127
  • Filename
    7003590