Semantic modeling for collaboration and cooperation of systems in the production domain

Cooperation and collaboration of technical systems in different application contexts is one of the main targets of the vision of "Industrie 4.0" (I40). In order to bring this vision to industrial practice, it is necessary to define a semantic basis for information exchange between systems....

Full description

Saved in:
Bibliographic Details
Published in2017 22nd IEEE International Conference on Emerging Technologies and Factory Automation (ETFA) pp. 1 - 8
Main Authors Hildebrandt, Constantin, Scholz, Andre, Fay, Alexander, Schroder, Tizian, Hadlich, Thomas, Diedrich, Christian, Dubovy, Martin, Eck, Christian, Wiegand, Ralf
Format Conference Proceeding
LanguageEnglish
Published IEEE 01.09.2017
Subjects
AutomationML
discrete manufacturing
Industries
information modeling
Maintenance engineering
Mechatronics
Ontologies
Production
semantic modeling
Semantics
Online AccessGet full text
ISSN1946-0759
DOI10.1109/ETFA.2017.8247585

Cover

More Information
Summary:Cooperation and collaboration of technical systems in different application contexts is one of the main targets of the vision of "Industrie 4.0" (I40). In order to bring this vision to industrial practice, it is necessary to define a semantic basis for information exchange between systems. This paper provides the results of a project that focused on semantic modeling based on standards relevant in the I40 context. Particularly, a meta model for modeling mechatronic systems as well as a meta model for modeling the systems characteristics is provided. The combination of the two developed meta models can be used for implementation in semantic technologies, i.e. Web Ontology Language, or AutomationML. Furthermore, a use-case is introduced that shows an implementation of the meta models in AutomationML with the use of ecl@ss properties in the engineering and operation of a discrete manufacturing system.
ISSN:1946-0759
DOI:10.1109/ETFA.2017.8247585