Semantic Design and Integration of Simulation Models in the Industrial Automation Area

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68407700%3A21230%2F12%3A00205690" target="_blank" >RIV/68407700:21230/12:00205690 - isvavai.cz</a>

Výsledek na webu

<a href="http://ieeexplore.ieee.org/xpl/articleDetails.jsp?reload=true&arnumber=6489781&contentType=Conference+Publications" target="_blank" >http://ieeexplore.ieee.org/xpl/articleDetails.jsp?reload=true&arnumber=6489781&contentType=Conference+Publications</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.1109/ETFA.2012.6489781" target="_blank" >10.1109/ETFA.2012.6489781</a>

Jazyk výsledku

angličtina

Název v původním jazyce

Semantic Design and Integration of Simulation Models in the Industrial Automation Area

Popis výsledku v původním jazyce

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 currentsimulation 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.

Název v anglickém jazyce

Semantic Design and Integration of Simulation Models in the Industrial Automation Area

Popis výsledku anglicky

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 currentsimulation 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.

Druh

D - Stať ve sborníku

CEP obor

JC - Počítačový hardware a software

OECD FORD obor

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Projekt

—

Návaznosti

S - Specificky vyzkum na vysokych skolach

Rok uplatnění

2012

Kód důvěrnosti údajů

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Název statě ve sborníku

Proceedings of 2012 IEEE 17th International Conference on Emerging Technologies & Factory Automation

ISBN

978-1-4673-4737-2

ISSN

1946-0759

e-ISSN

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Počet stran výsledku

8

Strana od-do

1-8

Název nakladatele

IEEE

Místo vydání

Piscataway

Místo konání akce

Krakow

Datum konání akce

21. 9. 2012

Typ akce podle státní příslušnosti

WRD - Celosvětová akce

Kód UT WoS článku

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