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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