Model-Driven Engineering of Digital Twins (Dagstuhl Seminar 22362)

Autor: Cleophas, Loek, Godfrey, Thomas, Khelladi, Djamel Eddine, Lehner, Daniel, Combemale, Benoît, Rumpe, Bernhard, Zschaler, Steffen

Publikováno v: Dagstuhl Reports, 12(9):9, 20-40. Schloss Dagstuhl-Leibniz-Zentrum für Informatik

This report documents the program and the outcomes of Dagstuhl Seminar 22362 "Model-Driven Engineering of Digital Twins". Digital twins are an emerging concept with the potential for revolutionising the way we interact with the physical world. Digita

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::8f96e8b888aabe9ae2f3fde8700c743c
https://doi.org/10.4230/dagrep.12.9.20

A Community-Sourced View on Engineering Digital Twins: A Report from the EDT.Community

Autor: Cleophas, Loek, Godfrey, Thomas, Khelladi, Djamel, Lehner, Daniel, Combemale, Benoit, van den Brand, Mark, Vierhauser, Michael, Wimmer, Manuel, Zschaler, Steffen

Publikováno v: ModDiT’22-2nd International Workshop on Model-Driven Engineering of Digital Twins
ModDiT’22-2nd International Workshop on Model-Driven Engineering of Digital Twins, Oct 2022, Montreal, Canada. pp.1-5, ⟨10.1145/3550356.3561549⟩
MODELS '22: Proceedings of the 25th International Conference on Model Driven Engineering Languages and Systems: Companion Proceedings
ModDiT 2022-2nd International Workshop on Model-Driven Engineering of Digital Twins
ModDiT 2022-2nd International Workshop on Model-Driven Engineering of Digital Twins, ACM; IEEE CS; University of Montreal, Oct 2022, Montréal, Canada. pp.481-485, ⟨10.1145/3550356.3561549⟩

International audience; Digital Twins are an important concept, enabling what-if scenario exploration, predictive maintenance, and other approaches. They help in saving time and physical resources when developing and evolving systems, whether natural

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::a52d1a7ffd6a6c22da4a2dee4bed6d9b
https://hal.inria.fr/hal-03846457

IEEE Software / Digital twin platforms : requirements, capabilities, and future prospects

Autor: Lehner, Daniel, Pfeiffer, Jérôme, Tinsel, Erik-Felix, Strljic, Matthias Milan, Sint, Sabine, Vierhauser, Michael, Wortmann, Andreas, Wimmer, Manuel

Digital twins (DTs) have emerged as a paradigm for the virtual representation of complex systems alongside their underlying hardware. We investigate the benefits of Amazon, Eclipse, and Microsoft DT platforms and assess the extent to which they meet

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=od______3361::59a980d0118eadb0d99c42082869fd4a
https://epub.jku.at/doi/10.1109/MS.2021.3133795

Proceedings of the 26th IEEE International Conference on Emerging Technologies and Factory Automation (ETFA) / AML4DT: a model-driven framework for developing and maintaining Digital Twins with automationML

Autor: Lehner, Daniel, Sint, Sabine, Vierhauser, Michael, Narzt, Wolfgang, Wimmer, Manuel

As technologies such as the Internet of Things (IoT) and Cyber-Physical Systems (CPS) are becoming ubiquitous, systems adopting these technologies are getting increasingly complex. Digital Twins (DTs) provide comprehensive views on such systems, the

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=od______3361::f9dd4954ab52a7df6c32ecf57b3d8cf2

First International Workshop on Model-Driven Engineering for Digital Twins, ModDiT’21 co-located with MODELS 2021 / Air quality management : an exemplar for model-driven Digital Twin engineering

Autor: Govindasamy, Hari Shankar, Ramya, Jayamaran, Burcu, Taspinar, Lehner, Daniel, Wimmer, Manuel

Since its first mentioning in the literature, the concept of Digital Twin has gained traction in both industry and academia. However, there are still many open challenges when applying Digital Twins to industry-scale use cases. Applying Model-Driven

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=od______3361::af49d4e78c240351d3b057cb8b7f1bde