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.
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
SIGNEDCall topic
HORIZON-KDT-JU-2023-2-RIA-Topic-1Update Date
21-11-2024
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