Knowledge-Based Systems and Interactive Graphics for Reactor Control using the Automated Reasoning Tool(Art) System

  • Magdi Ragheb
  • Bruce Clayton
  • Paul Davies

Abstract

The use of Knowledge-Based systems and advanced graphics concepts are described using the Automated Reasoning Tool(ART) for a model nuclear plant system. Through the use of asynchronous graphic input/output, the user is allowed to communicate through a graphical display to a Production-Rule Analysis System modelling the plant while its rules are actively being fired. The user changes the status of system components by pointing at them on the system configuration display with a mouse cursor and clicking one of the buttons on the mouse. The Production-Rule Analysis System accepts the new input and immediately displays its diagnosis of the system state and any associated recommendations as to the appropriate course of action. This approach offers a distinct advantage over typing the components statuses in response to queries by a conventional Production-Rule Analysis system. Moreover, two effective ways of communication between man and machine are combined.

Keywords

PumpS 

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References

  1. 1.
    K. T. Kimmel, “Knowledge-Based Systems and Interactive Graphics for Process Control Tasks,” in: Human Decision Making and Manual Control, H. P. Willumeit,Ed., Elsevier Science Publishers, pp. 277–288 (1986).Google Scholar
  2. 2.
    M. Ragheb, D. Gvillo, “Symbolic Simulation of Engineering Systems on a Supercomputer,”Applications of Artificial Intelligence III, SPIE Vol. 635, p. 368 (1986).Google Scholar
  3. 3.
    M. Ragheb and L. Tsoukalas, “Monitoring the Performance of Devices using a Coupled Probability-Possibility Method,” to appear in Int. J. of Expert Systems, Res. and Appl., (1987).Google Scholar
  4. 4.
    M. Ragheb, “HAL-1987, Directory of Applications Software for Cray Supercomputers,” Cray Research, Mendota Heights, Minnessota (1987).Google Scholar
  5. 5.
    A. Kuhlman, “Introduction to Safety Science,” Springer -Verlag, New York, p. 65 (1986).Google Scholar
  6. 6.
    B. G. Buchanan and E. H. Shortliffe, “Rule-Based Expert Systems,” Addisson-Wesley, Reading Masschussets (1984).Google Scholar
  7. 7.
    N. Rasmussen, Department of Nuclear Engineering, Massachussets Institute of Technology, Private Communication.Google Scholar

Copyright information

© Plenum Press, New York 1988

Authors and Affiliations

  • Magdi Ragheb
    • 1
  • Bruce Clayton
    • 2
  • Paul Davies
    • 2
  1. 1.Department of Nuclear EngineeringUniversity of Illinois at Urbana-ChampaignUrbanaUSA
  2. 2.Inference CorporationLos AngelesUSA

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