ABSTRACT 

A conventional plant control system based on heuristics cannot deal with 
"unforeseen abnormal situations" in a plant due to the lack of heuristics. This 
system compiles plant control rules from a plant model, and deals with such 
situations. 

KEY FEATURES 

(1) Hybrid reasoning architecture with both heuristics-based approach and 
    model-based approach. 

(2) Diagnosis by the Qualitative Causal Model and the symptoms clustering 
    technique. 

(3) Compilation of plant control rules by the Device Model and the Operation 
    Principle Model. 

(4) Verification of compiled rules by the Dynamics Model. 



P.19 Figure 1

Figure 1: System configuration 



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