Planning plant operating procedures for chemical plant

Abstract All industrial plants require an extensive set of operating procedures. This paper discusses the use of hierarchical nonlinear least-commitment AI planning technology to generate plant operating procedures for chemical process plant. It considers the handling of flow through the interfacing of a valve sequencing subplanner, the handling of safety through the mechanism of goals of prevention, and the use of pairs as a way of mutually constraining planning variables and increasing planning efficiency. It concludes with some results and discussion of the advantages of the approach.

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