• DocumentCode
    1702531
  • Title

    Water treatment plant intelligent monitoring in large gas refinery

  • Author

    Firoozshahi, Amir ; MengYang, Li

  • Author_Institution
    Electron. & Electr. Eng. Dept., Islamic Azad Univ., Tehran, Iran
  • fYear
    2010
  • Firstpage
    785
  • Lastpage
    789
  • Abstract
    Water treatment plants have to provide good water quality and at the same time low operational costs. Owing to various physical, chemical and biological interactions water treatment processes are often difficult to handle and reliable predictions for the course of processes are difficult to obtain. Developing monitoring in Automation Control System is a major industrial concern since those systems are more and more complex and involved in many safety critical application fields. The Automation system is being widely used in Power, Steel manufacturing, Oil and Gas, and Petrochemicals for monitoring, advance process control, regulatory and sequential control and various other functions. Automation system is operated either in single mode and or it is interfaced with other systems such as PLC, SCADA, and Etc for enhanced functionality. This paper focuses on an innovative and intelligent monitoring system for Water Treatment Plant that has been successfully designed, implemented and commissioned for large Gas Refinery after case study in international standards.
  • Keywords
    SCADA systems; oil refining; process control; process monitoring; programmable controllers; water treatment; PLC; SCADA; advance process control; automation control system; gas refinery; intelligent monitoring; international standards; regulatory control; sequential control; water quality; water treatment plant; Automation; Control systems; Hardware; Monitoring; Process control; Region 8; Software;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computational Technologies in Electrical and Electronics Engineering (SIBIRCON), 2010 IEEE Region 8 International Conference on
  • Conference_Location
    Listvyanka
  • Print_ISBN
    978-1-4244-7625-1
  • Type

    conf

  • DOI
    10.1109/SIBIRCON.2010.5555010
  • Filename
    5555010