Tutorial on
From Digital Twins to the Twinning Paradigm
Instructor
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Hans Vangheluwe
University of Antwerp / Flanders Make
Belgium
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Short Bio
Hans Vangheluwe is a Professor in the Antwerp Systems and Software Modelling (AnSyMo) group within the Department of Mathematics and Computer Science at the University of Antwerp in Belgium, where he is a founding member of the NEXOR Consortium on Cyber-Physical Systems (CPS). AnSyMo is a Core Research Lab of Flanders Make, the strategic research centre for the Flemish manufacturing industry. He heads the Modelling, Simulation and Design Lab (MSDL), distributed over the University of Antwerp and McGill University in Montreal, Canada.
His fundamental work covers the foundations of modelling and simulation, of model management, model transformation, and domain-specific (visual) modelling environments. This work is always accompanied by prototype tools such as PythonPDEVS, the Modelverse, T-Core, AToM3 and AToMPM.
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Abstract
The Cyber-Physical Systems (of Systems) we design, maintain and above all, evolve, over increasingly long periods of time, are ever growing in complexity. In the meantime, demands on quality, maintainability, sustainability, etc. become more and more stringent.
"Digital Twins" have been shown to enable a host of desirable extra-functional system features such as condition monitoring, fault diagnosis, and predictive maintenance.
There has been a proliferation of terminology, examples and standards for Digital Twins. This tutorial unifies and structures these under the "Twinning" umbrella, building on many existing techniques, architectures and standards from real-time simulation and execution, co-simulation, systems and control theory, IoT, knowledge management, machine learning, surrogate modelling, etc.
In the Twinning Paradigm, a Twinning Architecture (a system in its own right) is used whereby a virtual instance of a System under Study (SuS) is continually updated with the SuS's health, performance, maintenance, etc. status information, and this throughout the asset's life cycle (requirements analysis, design, production, assembly, operation and optimization, maintenance, re-purposing, disposal).
The tutorial takes a product family/line approach to structure desirable system features, the different workflows and conceptual twinning architectures needed to realize these, and finally, the different means to deploy/realize these architectures.
Keywords
Digital Twin, Twinning, Simulation
Aims and Learning Objectives
The goal of this tutorial, as described in the abstract, is to bring some structure to the confusing plethora of Digital Twin definitions, architectures and ad hoc, domain-specific examples.
The goal of the tutorial is to give insights into the foundations of building Digital Twins, and more generally, the Twinning Paradigm.
At the end of the tutorial, participants should
- have a deep understanding of the reasons for using Twinning, and
- know how to design and implement Twinning Architectures.
Target Audience
A general audience interested in understanding and building Twinning architectures.
The tutorials is designed to cater to a broad audience, consisting of
Graduate students, Early-career researchers, Senior researchers, and Industry practitioners.
Prerequisite Knowledge of Audience
General modelling and simulation background.
Detailed Outline
-modelling foundations, validity frames
-digital model/shadow/twin historical overview
-many definitions and architectures
-unification under the ``Twinning'' umbrella, a product family approach
-harbour case (monitoring, anomaly detection)