• DocumentCode
    2128333
  • Title

    Intelligent Control System of Multi-segments Continuously Sintering Furnace

  • Author

    Cao, Shukun ; Ze, Xiangbo ; Xu, Jing ; Shi, Lei

  • Author_Institution
    Sch. of Mech. Eng., Univ. of Jinan, Jinan
  • fYear
    2008
  • fDate
    21-22 Dec. 2008
  • Firstpage
    869
  • Lastpage
    872
  • Abstract
    Due to the continuously sintering furnace affected by many factors, it is very difficult to establish a precise mathematical model, designed for the expert control system based on temperature field analysis for the continuously sintering furnace temperature control. The analysis data were stored in the database of expert system as correct values of the continuously sintering furnace temperature parameters. Establishing expert control system included database design, the establishment of control rules and knowledge reasoning design. Adopted ACCESS 2000 designing expert control system database, and used Visual C++ language designing expert control system knowledge reasoning. Used in practice, it is proved that the expert control system of the continuously sintering furnace based on temperature field analysis improves the precision of temperature control, and resolve the lag problem of temperature control.
  • Keywords
    C++ language; control engineering computing; expert systems; furnaces; intelligent control; mechanical engineering computing; sintering; temperature control; ACCESS 2000; Visual C++ language; continuously sintering furnace temperature control; expert control system; intelligent control system; knowledge reasoning design; multisegment continuously sintering furnace; temperature field analysis; Control system analysis; Control system synthesis; Control systems; Data analysis; Expert systems; Furnaces; Intelligent control; Mathematical model; Temperature control; Visual databases; Continuously Sintering Furnace; Expert System; Intelligent Control; Multi-Segments;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Knowledge Acquisition and Modeling, 2008. KAM '08. International Symposium on
  • Conference_Location
    Wuhan
  • Print_ISBN
    978-0-7695-3488-6
  • Type

    conf

  • DOI
    10.1109/KAM.2008.183
  • Filename
    4732954