• DocumentCode
    2825907
  • Title

    Expert System for Tractor Cab Man-Machine Interface Evaluation

  • Author

    Yan Xiao-yan ; Song Zheng-he ; Zhu Zhong-xiang ; Mao En-rong

  • Author_Institution
    Coll. of Eng., China Agric. Univ., Beijing, China
  • fYear
    2009
  • fDate
    11-13 Dec. 2009
  • Firstpage
    1
  • Lastpage
    4
  • Abstract
    The expert system for tractor cab man-machine interface evaluation was developed using Visual C++ and CLIPS that is one of the expert system tools on the re-development platform of CATIA. The system structure and functions were presented. The knowledge expression, reason mechanism and the design and build method of knowledge base were put forward. The expert system can be used to evaluate the man-machine interface of tractor cab quickly and find the shortage of design. Finally, some improvement suggestions were given by the system. Experiments were carried out for a tractor model. The results showed that the expert system could evaluate the tractor model man-machine interface effectively.
  • Keywords
    C++ language; automotive engineering; expert systems; user interfaces; CATIA redevelopment platform; CLIPS language; Visual C++ language; expert system; knowledge base system; man-machine interface; tractor cab model; Agricultural engineering; Agricultural machinery; Automotive engineering; Educational institutions; Expert systems; Knowledge engineering; Man machine systems; Object oriented modeling; User interfaces; Vehicle driving;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computational Intelligence and Software Engineering, 2009. CiSE 2009. International Conference on
  • Conference_Location
    Wuhan
  • Print_ISBN
    978-1-4244-4507-3
  • Electronic_ISBN
    978-1-4244-4507-3
  • Type

    conf

  • DOI
    10.1109/CISE.2009.5363850
  • Filename
    5363850