Modelling cyber-physical systems using data-driven patterns

Concetta Semeraro (1, 2, 3) , Mario Lezoche (1) , Hervé Panetto (1) , Michele Dassisti (2)

1 CRAN - Centre de Recherche en Automatique de Nancy
2 DMMM - Department of Mechanics, Mathematics and Management
3 Department of Industrial and Management Engineering

Modelling Cyber-physical Systems is quite complex and thus needs a big amount of data and modelling techniques representing the operational semantics of the modelled elements. Generally, the modelling action has a specific application type. For this reason, the paper proposes a series of modelling patterns aimed at automatically identifying invariant behaviours in the masses of data that can be modelled to emulate cyber-physical systems and thus contribute to the digital transformation of industrial production companies.

Mots clés: Cyber- Physical Systems; Digital Twin; Sysml; Patterns

Domaines: Ingénierie assistée par ordinateur

Concetta Semeraro, Mario Lezoche, Hervé Panetto, Michele Dassisti. Modelling cyber-physical systems using data-driven patterns. INSIGHT - International Council on Systems Engineering (INCOSE), 2021, New challenges and Advances in Systems Engineering at French Universities, 24 (4), pp.12-15. ⟨10.1002/inst.12354⟩. ⟨hal-03507207⟩