• DocumentCode
    2494708
  • Title

    Intelligent sensor design in network based automatic control

  • Author

    Wang, Donglin ; Chandana, Sandeep ; He, Renlun ; Han, Jiuqiang ; Zhu, Xiangyu ; Zou, Ke ; He, Yong

  • Author_Institution
    Dept. of Electr. & Comput. Eng., Univ. of Univ., Calgary, AB, Canada
  • fYear
    2010
  • fDate
    18-23 July 2010
  • Firstpage
    1
  • Lastpage
    6
  • Abstract
    Until recently, most oil pumping units (OPUs) have been using manual control in the oilfield. In this paper, network based automatic control is proposed for OPU management. This proposed network can sequentially realize automatic data sensing, automatic malfunction detection, remote data transmission, intelligent data organization and management, automatic malfunction warning, automatic stroke adjustment and state report via GSM short message service (SMS). Specifically, the proposed network based automatic control system contains four parts: 1) the first level sensors (FLS) for data sensing; 2) the developed intelligent sensors (ISs), which are the second level sensors, for data storage and elementary processing; 3) a communication protocol for data transmission; and 4) a software-based network center for data processing, data management, malfunction detection, remote stroke adjustment, GSM SMS and so on. In this paper, we focus on describing the IS design and reporting the elementary experiment results of the proposed system at the oil well HUACHI-38-122.
  • Keywords
    cellular radio; control engineering computing; control system synthesis; data communication; electronic messaging; fault location; intelligent sensors; petroleum industry; protocols; GSM short message service; automatic data sensing; automatic malfunction detection; automatic malfunction warning; automatic stroke adjustment; communication protocol; data storage; intelligent data management; intelligent data organization; intelligent sensor design; network based automatic control; network center; oil pumping units; oil well HUACHI-38-122; remote data transmission; Frequency conversion; Intelligent sensors; Petroleum; Sensor systems; Wireless communication;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Neural Networks (IJCNN), The 2010 International Joint Conference on
  • Conference_Location
    Barcelona
  • ISSN
    1098-7576
  • Print_ISBN
    978-1-4244-6916-1
  • Type

    conf

  • DOI
    10.1109/IJCNN.2010.5596772
  • Filename
    5596772