Integrating heterogeneous engineering knowledge and tools for efficient industrial simulation model support

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68407700%3A21230%2F15%3A00237550" target="_blank" >RIV/68407700:21230/15:00237550 - isvavai.cz</a>

Výsledek na webu

<a href="http://www.sciencedirect.com/science/article/pii/S1474034615000555" target="_blank" >http://www.sciencedirect.com/science/article/pii/S1474034615000555</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.1016/j.aei.2015.05.001" target="_blank" >10.1016/j.aei.2015.05.001</a>

Jazyk výsledku

angličtina

Název v původním jazyce

Integrating heterogeneous engineering knowledge and tools for efficient industrial simulation model support

Popis výsledku v původním jazyce

Design of simulation models and their integration into industrial automation systems require knowledge from several heterogeneous data sources and tools. Due to the heterogeneity of engineering data, the integration of the tools and data are time-consuming and error-prone tasks nowadays. The key goal of this article is to provide an effective and efficient integration of heterogeneous data sources and tools as a knowledge basis to support dynamic simulation for industrial plants. The integrated knowledge is utilized both (i) in the design phase of simulation models for defining structure and interfaces of the models and (ii) in the runtime phase of industrial systems for model-driven configuration of the integrated environment. Reaching such goals witha manual approach or point-to-point integration is not beneficial as it may be possible for a few tools and data sources, but quickly gets very complex. A growing number of elements increases the risk of errors and the effort needed for

Název v anglickém jazyce

Integrating heterogeneous engineering knowledge and tools for efficient industrial simulation model support

Popis výsledku anglicky

Design of simulation models and their integration into industrial automation systems require knowledge from several heterogeneous data sources and tools. Due to the heterogeneity of engineering data, the integration of the tools and data are time-consuming and error-prone tasks nowadays. The key goal of this article is to provide an effective and efficient integration of heterogeneous data sources and tools as a knowledge basis to support dynamic simulation for industrial plants. The integrated knowledge is utilized both (i) in the design phase of simulation models for defining structure and interfaces of the models and (ii) in the runtime phase of industrial systems for model-driven configuration of the integrated environment. Reaching such goals witha manual approach or point-to-point integration is not beneficial as it may be possible for a few tools and data sources, but quickly gets very complex. A growing number of elements increases the risk of errors and the effort needed for

Druh

J_x - Nezařazeno - Článek v odborném periodiku (Jimp, Jsc a Jost)

CEP obor

JC - Počítačový hardware a software

OECD FORD obor

—

Projekt

—

Návaznosti

S - Specificky vyzkum na vysokych skolach

Rok uplatnění

2015

Kód důvěrnosti údajů

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

Název periodika

Advanced Engineering Informatics

ISSN

1474-0346

e-ISSN

—

Svazek periodika

29

Číslo periodika v rámci svazku

3

Stát vydavatele periodika

NL - Nizozemsko

Počet stran výsledku

16

Strana od-do

575-590

Kód UT WoS článku

000361253200024

EID výsledku v databázi Scopus

2-s2.0-84940712541