Experiences in Building a Digital Twin Framework: Challenges and Possible Solutions

Digital Twins (DTs) serve as the backbone of Industry 4.0, offering virtual representations of actual systems, enabling accurate simulations, analysis, and control. These representations help predict system behaviour, facilitate multiple real-time tests, and reduce risks and costs while identifying...

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Bibliographic Details
Published in2024 IEEE 48th Annual Computers, Software, and Applications Conference (COMPSAC) pp. 531 - 536
Main Authors Gu, Rong, Barbuceanu, Teodor, Xiong, Ning, Seceleanu, Tiberiu
Format Conference Proceeding
LanguageEnglish
Published IEEE 02.07.2024
Subjects
Buildings
Computational modeling
Costs
Digital twins
machine learning
Real-time systems
Software
system design
Technological innovation
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Summary:Digital Twins (DTs) serve as the backbone of Industry 4.0, offering virtual representations of actual systems, enabling accurate simulations, analysis, and control. These representations help predict system behaviour, facilitate multiple real-time tests, and reduce risks and costs while identifying optimization areas. DTs meld cyber and physical realms, accelerating the design and modelling of sustainable innovations. Despite their potential, the complexity of DTs presents challenges in their industrial application. We continue here the development of our approach to build an adaptable and trustable framework for building and operating DT systems - A Digital Twin Framework for Dynamic and Robust Distributed Systems (D-RODS). D-RODS aims to address the challenges above, aiming to advance industrial digitalization and targeting areas like system efficiency, incorporating AI and verification techniques with formal support. We employ existing large-usage tools to illustrate the approach in development based on a synthetic adaptable use case.
ISSN:2836-3795
DOI:10.1109/COMPSAC61105.2024.00078