Paper Info
Title
Applications of ontologies for assembling simulation models of industrial systems
Abstract
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.
Year
DOI
Venue
2011
10.1007/978-3-642-25126-9_24
OTM Workshops
Keywords
DocType
Volume
sparql query,suitable simulation candidate,large-scale industrial system,simulation model,simulation block,appropriate simulation block,available simulation block,industrial system analysis,simulation expert,simulation model semi-automatically
Conference
7046
ISSN
Citations 
PageRank 
0302-9743
5
0.51
References 
Authors
5
2
Name
Order
Citations
PageRank
Petr Novák17915.40
Radek Šindelář2161.89