An expert system in process design-analysis of process safety and reliability

Perttu Heino, Jouko Suokas, Iris Karvonen

    Research output: Chapter in Book/Report/Conference proceedingConference article in proceedingsScientificpeer-review

    5 Citations (Scopus)

    Abstract

    Describes HAZOPEX, an expert system supporting the safety analysis of process systems. It is being developed in the Technical Research Centre of Finland, and is based on the hazard and operability study (HAZOP), which is widely used in the European process industry. Advanced programming techniques are used in the development of HAZOPEX. All entities in the application are represented as objects in an object hierarchy. Techniques like inheritance of characteristics and rule-based reasoning are available in the development environment in addition to Lisp and interactive graphics. The structure and application of HAZOPEX are described, and its implementation using an advanced development environment is discussed. As an example, the problem of high temperature is analyzed in an example process system consisting of tanks, valves, pumps and a heat exchanger.
    Original languageEnglish
    Title of host publicationProceedings of the International Workshop on Artificial Intelligence for Industrial Applications
    PublisherIEEE Institute of Electrical and Electronic Engineers
    Pages225-231
    DOIs
    Publication statusPublished - 1988
    MoE publication typeA4 Article in a conference publication
    EventInternational Workshop on Artificial Intelligence for Industrial Applications (IEEE AI '88) - Hitachi City, Japan
    Duration: 25 May 198827 May 1988

    Workshop

    WorkshopInternational Workshop on Artificial Intelligence for Industrial Applications (IEEE AI '88)
    CountryJapan
    CityHitachi City
    Period25/05/8827/05/88

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    Cite this

    Heino, P., Suokas, J., & Karvonen, I. (1988). An expert system in process design-analysis of process safety and reliability. In Proceedings of the International Workshop on Artificial Intelligence for Industrial Applications (pp. 225-231). IEEE Institute of Electrical and Electronic Engineers . https://doi.org/10.1109/AIIA.1988.13298