• DocumentCode
    3579837
  • Title

    Leakage Detection of Natural Gas Pipeline Based on an Embedded System

  • Author

    Baoying Zhu ; Fenxi Yao ; Senchun Chai

  • Author_Institution
    Sch. of Autom., Beijing Inst. of Technol., Beijing, China
  • Volume
    1
  • fYear
    2014
  • Firstpage
    289
  • Lastpage
    292
  • Abstract
    Natural gas, which is treated as an alternative to the depleting supplies of oil, is widely used for fuel and electricity production. The use of natural gas in the world depends upon the thousands miles of natural gas pipeline networks that have been set up in few decades. The safe operation of these complex systems is of significant importance due to the intrinsic characteristics of hydrocarbons such as: toxicity, flammability and explosion velocity. In this work, a real-time leakage monitoring model of the long distance natural gas pipeline is proposed. And a leakage detection and localization mechanisms based on the above model were studied. In order to test the performance of the provided method, a networked data acquisition and analysis system was built. Through application to a practical system, it is verified that the proposed system is effective in gas leakage detection.
  • Keywords
    data acquisition; data analysis; embedded systems; leak detection; natural gas technology; pipelines; embedded system; gas leakage detection; long distance natural gas pipeline; networked data acquisition; networked data analysis system; real-time leakage monitoring model; Data acquisition; Embedded systems; Genetic algorithms; Heat transfer; Monitoring; Natural gas; Pipelines; embedded system; leakage detection; natural gas;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computational Intelligence and Design (ISCID), 2014 Seventh International Symposium on
  • Print_ISBN
    978-1-4799-7004-9
  • Type

    conf

  • DOI
    10.1109/ISCID.2014.196
  • Filename
    7064193