Enabling Semantic Interoperability of Asset Administration Shells Through an Ontology-based Modeling Method

Yining Huang (1) , Saadia Douib (1) , Luis Palacios Medinacelli (1) , Jacques Malenfant (2)

1 DILS (CEA, LIST) - Département Ingénierie Logiciels et Systèmes
2 MoVe - Modélisation et Vérification

Digital twin technology establishes the future development vision for Industry 4.0, and is also an important exploration direction for the Model-Driven Engineering (MDE) paradigm. Because it builds a more flexible and communicative production system through models that spans life cycle, hierarchy and architecture. The standard proposed under the concept of Industry 4.0, the Asset Administration Shell (AAS), provides a syntactic interoperability interface for all assets involved in smart factories. However, there is still a need to fill the gap regarding semantic interoperability, in order to allow efficient interactions between Industry 4.0 components. Ontologies are a good candidate because they provide formal semantics expressed using a knowledge representation language, and in addition, there are many associated mature tools for reasoning and inference. Therefore, we propose a modeling approach that provides semantic interoperability for AAS-based digital twins using ontologies.

Mots clés: digital twins; industry 4.0; model-driven engineering; ontology; semantic interoperability; smart manufacturing; asset administration shell

Domaines: Modélisation et simulation

Yining Huang, Saadia Douib, Luis Palacios Medinacelli, Jacques Malenfant. Enabling Semantic Interoperability of Asset Administration Shells Through an Ontology-based Modeling Method. ACM / IEEE 25th International Conference on Model Driven Engineering Languages and Systems (MODELS'22), Oct 2022, Montréal, Canada. pp.497-502, ⟨10.1145/3550356.3561606⟩. ⟨hal-03968479⟩