Data Driven Intelligent Digital Twins
The session will introduce Data Driven Intelligent Digital Twins – Digital Twins with Cognition in various domains – based on recent emerging reference models, platform technologies and relevant use cases from various application domains. These will be related to the Digital Twin representations from the Manufacturing domain, with RAMI AAS Digital Twin representation, as presented in the previous session.
The focus will be on architectures, technologies and applications and experiences from Data Driven Intelligent Digital Twins and Cognitive Digital Twins from various projects, in particular the following projects: COGNITWIN, ILIAD, BIMProve, COGNIPLANT, FACTLOG and SIRIUS followed by a discussion on digital twin commonalities and differences for various domains. At the end we will discuss to what extent the Digital Twin representation of AAS – Asset Administration Shell – can be used as a suitable Digital Twin representation for the projects – also for other domains beyond Manufacturing – and what is needed for this and also needed in order to extend Digital Twins with support for Intelligence and Cognition.
AGENDA:
Introduction to Digital Twin reference models and standards
- Arne J. Berre, SINTEF
Cognition for Digital Twins (COGNITWIN)
- Nenad Stojanovic, Nissatech
Digital Twin of the Ocean (ILIAD)
- Georgios Sylaios, Democritus University of Thrace
Digital Twins in Building & Construction (BIMProve)
- Gabor Sziebig, SINTEF Manufacturing
Cognitive Twins in Process Industries (FACTLOG)
- Kostas Kalaboukas, Maggioli
Cognitive Plants (COGNIPLANT)
- Stefano Ellero, Stamtech
IFM -Information Management for Digital Twin Assets, (SIRIUS)
- David Cameron, University of Oslo
Discussion on AAS relevance
- with presenters – and previous Digital Twin session representatives
