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Model-based engineering of Digital Twins for early verification and validation of Industrial Systems
Official website: https://matisse-kdt.eu/
Official project record (CORDIS): https://cordis.europa.eu/project/id/101140216
About the project
Industrial systems are becoming ever more automated, intelligent and autonomous, which raises the stakes on their correctness, reliability, availability and traceability. Digital twins, virtual counterparts of physical systems that are kept in sync with them, help to simulate, test, predict and monitor system behaviour. However, the most effective digital twin solutions are still expensive and slow to build, and hard to keep valid as the real system evolves.
MATISSE brings together about 30 academic and industrial partners from 7 European countries to build a model-based framework for the efficient, continuous engineering and validation of industrial systems supported by digital twins. The framework combines model-driven, data-driven and cloud techniques to automate how digital twins are created and federated, then offers verification and validation, prediction and monitoring services on top of them. The results are evaluated on 7 industrial use cases.
Softeam leads WP1, covering use case analysis and the MATISSE general architecture, and leads the tasks on architecture definition and roadmap (T1.3) and on case study support and feedback analysis (T4.4). Softeam contributes the model-based requirements engineering process and tools, a SysML extension for engineering digital twin federations, and methods for model-based continuous validation of digital twin federations. Two tools carry these contributions: extensions of the Modelio workbench for model-based coordination of federated digital twins, and RQCODE for lightweight automated formalisation and continuous validation of requirements.
Project facts
Project acronym
MATISSE
Full title
Model-based engineering of Digital Twins for early verification and validation of Industrial Systems
Reference
Grant agreement No 101140216
Funding call
HORIZON-KDT-JU-2023-2-RIA, Key Digital Technologies Joint Undertaking (now Chips JU), Horizon Europe
Project coordination
Malardalen University (MDU), Sweden. French cluster coordinated by IMT Atlantique
Start date
1 September 2024
End date
31 August 2027
Duration
36 months
Total budget
EUR 18,080,746 (EU contribution EUR 5,880,268)
Softeam EU contribution
EUR 346,719
Objectives
Provide a cloud-based, model-driven framework that automates the engineering, integration and federation of digital twins.
Continuously validate digital twins against the functional and non-functional properties they must satisfy, throughout their life cycle.
Offer domain-independent digital twin services for verification, validation, simulation, smart prediction and monitoring of industrial systems.
Ensure traceability between design-time models and runtime data, so that digital twins stay consistent with the systems they represent.
Demonstrate the framework and services on 7 industrial use cases, and exploit the results through open-source and commercial tools.
Partners
The consortium includes about 30 partners from 7 countries.
Organisation Role Country
Malardalen University (MDU) Project coordinator, WP6 lead Sweden
Addiva AB Partner Sweden Alstom Rail Sweden AB Partner, use case provider Sweden
RISE Research Institutes of Sweden Partner Sweden
CNet Svenska AB Partner Sweden
Softeam (Softeam Docaposte) Partner, WP1 lead France
IMT Atlantique (Institut Mines-Telecom) French cluster coordinator, WP2 lead France
Universite de Rennes Partner France
CNRS Affiliated entity France
Universitat Innsbruck Partner Austria
LieberLieber Software GmbH Partner Austria
Automated Software Testing GmbH Partner Austria
Johannes Kepler University Linz Partner Austria
Siemens Aktiengesellschaft Osterreich Partner Austria
Universita degli Studi di Teramo Partner Italy
Leonardo S.p.A. Partner Italy
Fondazione Istituto Italiano di Tecnologia Partner Italy
Innovation River srl Partner Italy
Gran Sasso Science Institute Partner Italy
Gran Sasso Tech Partner Italy
Instituto Superior de Engenharia do Porto Partner Portugal
Cleanwatts Digital S.A. Partner, WP5 lead Portugal
University of Eastern Finland Partner, WP3 lead Finland
ThingLink Oy Partner Finland
Process Genius Oy Partner Finland
SolidComp Oy Partner Finland
3D Talo Finland Oy Partner Finland
Eskisehir Osmangazi University Partner Turkiye
Otokar Otomotiv ve Savunma Sanayi A.S. Partner, WP4 lead Turkiye
Deftr Teknoloji Partner Turkiye
Publications and reports
Multi-Partner Project: A Model-Driven Engineering Framework for Federated Digital Twins of Industrial Systems (MATISSE), DATE 2025, Design, Automation and Test in Europe Conference, IEEE, doi:10.23919/DATE64628.2025.10993046
Barriers and Enablers for Traceability and Federation in Model-Based Digital Twin Engineering, multivocal literature review, Information and Software Technology (2025)
Public deliverables and dissemination reports are available on the project website.
Official links
Project website: https://matisse-kdt.eu/
CORDIS project record: https://cordis.europa.eu/project/id/101140216
MATISSE is funded by the European Union under Horizon Europe, through the Key Digital Technologies Joint Undertaking (now Chips JU), grant agreement No 101140216. Views and opinions expressed are those of the author(s) only and do not necessarily reflect those of the European Union or the granting authority. Neither the European Union nor the granting authority can be held responsible for them.
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