• DocumentCode
    580909
  • Title

    Simplified Factory Energy Management System based on operational condition estimation by sensor data

  • Author

    Endo, Maki ; Nakajima, Hiroshi ; Hata, Yutaka

  • Author_Institution
    OMRON Corp., Kyoto, Japan
  • fYear
    2012
  • fDate
    20-24 Aug. 2012
  • Firstpage
    14
  • Lastpage
    19
  • Abstract
    This paper describes a visualization technique to analyze causalities among the productivity indices and energy for improving energy efficiency of factory equipment. Recently, energy-saving has been important worldwide. Especially, energy-saving for factories is very important in manufacturing. Meanwhile, productivity indices must be kept in manufacturing process. Thus, we realize the improvement of energy efficiency on factory equipment by adding our visualization technique to conventional Factory Energy Management System. Our visualization technique quantifies the operational condition of equipment by the energy consumption and the equipment behavior. As the result of the visualization in our factory, our proposed technique could successfully improve the energy efficiency on a molding machine, a press machine and compressors without a negative effect to the productivity that means production volume and supply pressure.
  • Keywords
    data visualisation; energy conservation; energy consumption; power engineering computing; energy consumption; energy efficiency; energy saving; factory equipment; manufacturing process; molding machine; operational condition estimation; press machine; production volume; productivity indices; sensor data; simplified factory energy management system; supply pressure; visualization technique; Compressors; Energy consumption; Manufacturing; Presses; Production facilities; Productivity;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Automation Science and Engineering (CASE), 2012 IEEE International Conference on
  • Conference_Location
    Seoul
  • ISSN
    2161-8070
  • Print_ISBN
    978-1-4673-0429-0
  • Type

    conf

  • DOI
    10.1109/CoASE.2012.6386376
  • Filename
    6386376