APPLYING SEMANTIC MODELLING TECHIQUES IN LARGE SCALE PROCESS SIMULATION

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.