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
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;
Conference_Titel :
Computational Intelligence and Design (ISCID), 2014 Seventh International Symposium on
Print_ISBN :
978-1-4799-7004-9
DOI :
10.1109/ISCID.2014.196