• DocumentCode
    2119497
  • Title

    Intelligent operation and control of refrigeration craft in cold storage

  • Author

    Sun, Ying

  • Author_Institution
    Sch. of Energy & Archit. Eng., Harbin Univ. of Commerce, Harbin, China
  • fYear
    2012
  • fDate
    21-23 April 2012
  • Firstpage
    357
  • Lastpage
    359
  • Abstract
    In this paper, we discuss the difference between intelligent and non-intelligent system, and analyze some problems in the development and research of auto-control system in the cold storage. These problems involve engineering survey, predictive control of technical parameters, control reliability of machinery equipment, local control and global control. And the methods of artificial neural networks, genetic algorithm and least square are put forward to resolve them.
  • Keywords
    genetic algorithms; least squares approximations; neurocontrollers; predictive control; refrigeration; artificial neural networks; autocontrol system; cold storage; engineering survey; genetic algorithm; global control; least square; local control; machinery equipment control reliability; nonintelligent system; predictive control; refrigeration craft control; refrigeration craft intelligent operation; Accidents; Artificial intelligence; Compressors; Computers; Temperature control; Temperature measurement; cold storage; intelligent control; intelligent operation; least square method;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Consumer Electronics, Communications and Networks (CECNet), 2012 2nd International Conference on
  • Conference_Location
    Yichang
  • Print_ISBN
    978-1-4577-1414-6
  • Type

    conf

  • DOI
    10.1109/CECNet.2012.6201723
  • Filename
    6201723