首页|Run time dynamic digital twins and dynamic digital twins networks

Run time dynamic digital twins and dynamic digital twins networks

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  • NETL
  • NSTL
  • Elsevier
Digital twins are widely used for building various types of cyber-physical systems. There are a huge number of publications devoted to the use of digital twins in production systems. Much less attention is paid to th4e issues of building runtime digital twins. The article describes an approach to building complex distributed cyber-physical systems with a high level of architectural dynamics built on fog and edge computing platforms based on the use of digital twins. The issues of implementing runtime digital twins and distributed systems of runtime digital twins are considered. The requirements to runtime digital twins are defined. Typical problem statements for constructing and maintaining a runtime digital twin system are formulated. A reference architecture of a dynamic runtime digital twin is proposed, which includes a model of the observed system (or the object) and a model processor. The dynamic model of the observed and managed system is considered as a key element of the digital twin. Possible approaches to the synthesis of built-in models of runtime digital twins are discussed. Examples of using the proposed approach to solve practical problems are given. The described approach may be of interest to specialists involved in research and development of various types of information systems implemented on Internet of Things platforms, such as smart cities, smart transport, medical information systems, etc. It is proposed to conduct further research and development in the areas of creating human digital twins.

Digital twinDigital twin networksDynamic digital threadsModel synthesis

Alexander Vodyaho、Radhakrishnan Delhibabu、Dmitry I. Ignatov、Nataly Zhukova

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Department of Computer Science and Engineering, Saint Petersburg Electrotechnical University, 'LETT' (ETU), St. Petersburg, 197376, Russia

School of Computing Science and Engineering (SCOPE), Vellore Institute of Technology, Vellore, 632014, India

Computer Science Faculty, School of Data Analysis and Artificial Intelligence, HSE University, Moscow, 109028, Russia

St. Petersburg Federal Research Center of the Russian Academy of Sciences, St. Petersburg, 199178, Russia

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2025

10.1016/j.future.2025.107823

Future generation computer systems: FGCS

Future generation computer systems: FGCS

ISSN：0167-739X
年,卷(期)：2025.172(Nov.)
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