Applications of Ontologies for Assembling Simulation Models of Industrial Systems

P. Novak, R. Sindelar:
"Applications of Ontologies for Assembling Simulation Models of Industrial Systems";
Vortrag: OnTheMove Federated Conferences&Workshops (OTM 2011), Hersonissos, Crete, Greece; 17.10.2011 - 21.10.2011; in:"On the Move to Meaningful Internet Systems: OTM 2011Workshops", R. Meersman, T. Dillon, P. Herrero (Hrg.); Springer, LNCS 7046 (2011), ISBN: 978-3-642-25125-2; S. 148 - 157.

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Simulation models are important parts of industrial system
analysis and control system design. Despite the wide range of possible
usage, their formalization, integration and design have not been satisfactorily
solved. This paper contributes to the design phase of simulation
models for large-scale industrial systems, consisting of a large number of
heterogeneous components. Nowadays, it is the simulation expert who assembles
the simulation model for a particular industrial plant manually,
which is time-consuming and error-prone. We propose to use a semantic
engine performing SPARQL queries, which assembles the structure
of a simulation model semi-automatically, using formalized knowledge
about real industrial plant and available simulation blocks represented
in appropriate ontologies. As each real plant device can be represented
by more than one simulation blocks, the selection of suitable simulation
candidates is based on matching interfaces of neighboring blocks. Evaluation
on a real-life industrial use-case shows improvements in reducing
development time and avoiding design errors. Major results of this paper
are the proposed structures of the ontologies and the SPARQL query
realizing the selection of the appropriate simulation blocks.