Semantic design and integration of simulation models in the industrial automation area

Simulations are software tools approximating and predicting the behavior of real industrial plants. Unlike real plants, the utilization of simulations cannot cause damages and it saves time and costs during series of experiments. A shortcoming of current simulation models is the complicated runtime integration into legacy industrial systems and platforms, as well as ad-hoc design phase, introducing manual and error-prone work. This paper contributes to improve the efficiency of simulation model design and integration. It utilizes a semantic knowledge base, implemented by ontologies and their mappings. The integration uses the Automation Service Bus and the paper explains how to configure the runtime integration level semantically. The main contributions are the concept of semantic configuration of the service bus and the workflows of simulation design and integration.

[1]  Kenwood H. Hall,et al.  Rockwell Automation's Holonic and Multiagent Control Systems Compendium , 2011, IEEE Transactions on Systems, Man, and Cybernetics, Part C (Applications and Reviews).

[2]  Stefan Biffl,et al.  Semantic Service Matchmaking in the ATM Domain Considering Infrastructure Capability Constraints , 2009, SEKE.

[3]  P. Gawthrop,et al.  Bond-graph modeling , 2007, IEEE Control Systems.

[4]  Petr Novák,et al.  Integrated Design of Simulation Models for Passive Houses , 2011 .

[5]  Lee Lacy,et al.  Potential modeling and simulation applications of the Web ontology language - OWL , 2004, Proceedings of the 2004 Winter Simulation Conference, 2004..

[6]  Alois Zoitl,et al.  Ontology-based fault diagnosis for industrial control applications , 2010, 2010 IEEE 15th Conference on Emerging Technologies & Factory Automation (ETFA 2010).

[7]  Perakath C. Benjamin,et al.  Towards ontology-driven interoperability for simulation-based applications , 2009, Proceedings of the 2009 Winter Simulation Conference (WSC).

[8]  Petr Novák,et al.  Framework for Simulation Integration , 2011 .

[9]  Umut Durak,et al.  An Exercise In Ontology Driven Trajectory Simulation With MATLAB SIMULINK , 2007 .

[10]  Petr Novák,et al.  Applications of Ontologies for Assembling Simulation Models of Industrial Systems , 2011, OTM Workshops.

[11]  Alois Zoitl,et al.  Semantic Runtime Interface Description Based on Engineering Knowledge , 2012 .

[12]  Heming Zhang,et al.  Ontology Based Collaborative Simulation Framework Using HLA and Web Services , 2009, 2009 WRI World Congress on Computer Science and Information Engineering.

[13]  Stefan Biffl,et al.  Integration of heterogeneous engineering environments for the automation systems lifecycle , 2009, 2009 7th IEEE International Conference on Industrial Informatics.

[14]  Marek Obitko,et al.  Ontologies for multi-agent systems in manufacturing domain , 2002, Proceedings. 13th International Workshop on Database and Expert Systems Applications.

[15]  김명현,et al.  HLA(High Level Architecture) 적합성 인증시험 소개 및 국내 구축현황 , 2014 .

[16]  Alon Y. Halevy,et al.  Semantic Integration , 2005, AI Mag..

[17]  John A. Miller,et al.  From domain ontologies to modeling ontologies to executable simulation models , 2007, 2007 Winter Simulation Conference.