• DocumentCode
    2096922
  • Title

    Parallel Intelligent Decision Supporting System of Underground Powerhouse Construction of Large Hydroelectric Power Station

  • Author

    Jiang Annan ; Su Guoshao ; Ru Zhongliang

  • Author_Institution
    Coll. of Traffic & Logistics Eng., Maritime Univ., Dalian, China
  • fYear
    2010
  • fDate
    28-31 March 2010
  • Firstpage
    1
  • Lastpage
    4
  • Abstract
    Large hydraulic underground powerhouse in construction is a complex dynamic process, the decision of construction could neither depend on mechanical computing nor experience exclusively. It has significant sense to construct automatic, integrative and expeditious decision supporting system. The paper constructs a basic frame combing data base, knowledge base, model base and referring machine based on parallel computing technique. Based on the frame, an intelligence decision supporting system combing mechanical calculation and experience analysis methods has been developed. The object-oriented programming is carried out and the visual software is developed. It is shown feasible from its application in Shuibuya underground powerhouse of China.
  • Keywords
    decision support systems; hydroelectric power stations; object-oriented programming; power engineering computing; China; Shuibuya underground powerhouse; experience analysis methods; intelligence decision supporting system combing; large hydraulic underground powerhouse; large hydroelectric power station; mechanical calculation; mechanical computing; object-oriented programming; parallel computing technique; parallel intelligent decision supporting system; underground powerhouse construction; Concurrent computing; Feedback; Intelligent systems; Machine intelligence; Object oriented modeling; Parallel processing; Power engineering and energy; Power engineering computing; Power generation; Power system modeling;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Power and Energy Engineering Conference (APPEEC), 2010 Asia-Pacific
  • Conference_Location
    Chengdu
  • Print_ISBN
    978-1-4244-4812-8
  • Electronic_ISBN
    978-1-4244-4813-5
  • Type

    conf

  • DOI
    10.1109/APPEEC.2010.5448565
  • Filename
    5448565