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Communication Dans Un Congrès Année : 2022

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.
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Dates et versions

hal-03716066 , version 1 (07-07-2022)

Identifiants

Citer

Yuhan Chen, D Annebicque, Véronique Carré-Ménétrier, Philippot Alexandre, T Daneau. Data Model Classification for Interoperability in the Industry. IFAC Conference on Manufacturing Modelling, Management and Control (MIM), 2022, Nantes, France. pp.2354-2359, ⟨10.1016/j.ifacol.2022.10.060⟩. ⟨hal-03716066⟩
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