Applying semantic modelling techniques in large scale process simulation

Antti Villberg, Tuukka Lehtonen, Tommi Karhela, Kalle Kondelin

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

    3 Citations (Scopus)


    Large scale process simulation is used in industry for e.g. process and automation design, automation testing, safety analyses and for operator training and support purposes. In modern computing environments very large dynamic process models of an entire plant can be calculated in real time or even faster than real time. However current process simulation environments are separate tools that rarely have links to the other information management tools of a plant delivery project. In this paper we present an approach where semantic modelling techniques (semantic web) are used within an ontology definition environment. In this environment different plant modelling and simulation ontologies can be mapped and used together without compromising computational speed and scalability. Ontology of one simulation solver type, namely companion model solver, is discussed as an example.
    Original languageEnglish
    Title of host publication1st IFAC Workshop on Applications of Large Scale Industrial Systems
    ISBN (Print)978-3-902661-15-9
    Publication statusPublished - 2006
    MoE publication typeA4 Article in a conference publication
    Event1st IFAC Workshop on Application of Large Scale Industrial Systems, ALSIS '06 - , Finland
    Duration: 30 Aug 200631 Aug 2006

    Publication series

    SeriesIFAC Proceedings Volumes


    Workshop1st IFAC Workshop on Application of Large Scale Industrial Systems, ALSIS '06
    Abbreviated titleALSIS '06


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