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Feasibility study demonstrates artificial intelligence frameworks for nuclear power plant control rooms, suggesting improved response to routine operations and critical safety incidents.
The feasibility of applying some artificial intelligence (Al) techniques to plant control and safety problems is investigated, primarily from the point of view of plant safety. It is observed that the control room of the plant operates at different information-flux levels and that the change from one level to another is of a quantum nature. A representation of this jump in terms of an analogy to the Reynold's number of fluid mechanics is described. Two Al techniques are described. In the first of these an attention-structuring device is constructed for simulating an ongoing and routine operation of the plant. The effect of the attention structure construction upon response to an unexpected disturbance is investigated using this device. The second technique, corresponding to a learn-ingfaulttree, is more applicable to special-incident situations.
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Abbott et al. (1983) studied this question.
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