Data Model Classification for Interoperability in the Industry
Résumé
In the context of industry 4.0, interoperability is a major challenge for the manufacturing world. With new use cases heavily depending on industrial data analysis, data structuration through model has become essential for system and process description. However, diversities in data model types due to silo working between domains, represent a challenge for interoperability. Models don't have a clear definition of different domains and there is a need for alignment. This study proposes a classification of different types of data models based on capability criteria to help model definition alignment.
Domaines
Automatique / Robotique
Origine : Fichiers produits par l'(les) auteur(s)