MATISSE | Model-based engineering of Digital Twins for early verification and validation of Industrial Systems

Summary
Thanks to the advances in information technology, modern industrial systems are becoming increasingly intelligent and autonomous;
thus their requirements for, e.g., correctness, availability, traceability and reliability, are also increasing. Monitoring, analysis and
diagnosis of such industrial systems became pivotal and fueled the development of virtualization and simulation solutions such as
digital twins.
In a nutshell, digital twins are virtual representations of actual systems or processes that serve as real-time digital counterparts for,
e.g., prediction, analysis, testing, and simulation. Developing digital twins is a complex process. On the one hand, it includes
developing digital twins at different levels of abstraction of the system to allow one to focus on different relevant aspects (e.g,
behavioural, logical, physical). On the other hand, it must ensure the correctness of digital twins with respect to the system
specifications and the respective level of abstraction, and the federation enabling the communication between digital twins
conceived as exchange and resume of models.
This project aims to develop a model-based framework addressing the above-mentioned challenges by i) automating the creation of
digital twins for the simulation, monitoring and testing of functional and non-functional properties ii) continuous validating digital
twins to meet the required properties and iii) developing a multidomain and automated digital twin toolchain for the verification and
validation of complex industrial systems based on digital twins. We foresee that this project will positively impact the efficiency of
such systems by reducing their time to value and by increasing their final quality.
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More information & hyperlinks
Web resources: https://cordis.europa.eu/project/id/101140216
Start date: 01-09-2024
End date: 31-08-2027
Total budget - Public funding: 18 080 746,14 Euro - 5 880 267,00 Euro
Cordis data

Original description

Thanks to the advances in information technology, modern industrial systems are becoming increasingly intelligent and autonomous;
thus their requirements for, e.g., correctness, availability, traceability and reliability, are also increasing. Monitoring, analysis and
diagnosis of such industrial systems became pivotal and fueled the development of virtualization and simulation solutions such as
digital twins.
In a nutshell, digital twins are virtual representations of actual systems or processes that serve as real-time digital counterparts for,
e.g., prediction, analysis, testing, and simulation. Developing digital twins is a complex process. On the one hand, it includes
developing digital twins at different levels of abstraction of the system to allow one to focus on different relevant aspects (e.g,
behavioural, logical, physical). On the other hand, it must ensure the correctness of digital twins with respect to the system
specifications and the respective level of abstraction, and the federation enabling the communication between digital twins
conceived as exchange and resume of models.
This project aims to develop a model-based framework addressing the above-mentioned challenges by i) automating the creation of
digital twins for the simulation, monitoring and testing of functional and non-functional properties ii) continuous validating digital
twins to meet the required properties and iii) developing a multidomain and automated digital twin toolchain for the verification and
validation of complex industrial systems based on digital twins. We foresee that this project will positively impact the efficiency of
such systems by reducing their time to value and by increasing their final quality.

Status

SIGNED

Call topic

HORIZON-KDT-JU-2023-2-RIA-Topic-1

Update Date

24-12-2024
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Horizon Europe
HORIZON.2 Global Challenges and European Industrial Competitiveness
HORIZON.2.4 Digital, Industry and Space
HORIZON.2.4.2 Key Digital Technologies
HORIZON-KDT-JU-2023-2-RIA
HORIZON-KDT-JU-2023-2-RIA-Topic-1 Global call according to SRIA 2023 (RIA)