Run time dynamic digital twins and dynamic digital twins networks

IF 6.2 2区 计算机科学 Q1 COMPUTER SCIENCE, THEORY & METHODS
Alexander Vodyaho , Radhakrishnan Delhibabu , Dmitry I. Ignatov , Nataly Zhukova
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引用次数: 0

Abstract

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 the 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.
运行时动态数字孪生和动态数字孪生网络
数字孪生被广泛用于构建各种类型的网络物理系统。有大量的出版物致力于在生产系统中使用数字孪生。对构建运行时数字孪生的问题关注较少。本文描述了一种构建复杂的分布式网络物理系统的方法,该系统具有基于使用数字孪生的基于雾和边缘计算平台的高水平架构动态。讨论了运行时数字孪生和运行时数字孪生分布式系统的实现问题。定义了运行时数字孪生的需求。提出了构建和维护运行时数字孪生系统的典型问题陈述。提出了一种动态运行时数字孪生的参考体系结构,该体系结构包括被观察系统(或对象)的模型和模型处理器。被观察和被管理系统的动态模型被认为是数字孪生的关键要素。讨论了集成运行时数字孪生模型的可能方法。最后给出了应用该方法解决实际问题的实例。所描述的方法可能会引起参与研究和开发在物联网平台上实施的各种信息系统的专家的兴趣,例如智能城市、智能交通、医疗信息系统等。建议在创造人类数字双胞胎方面进行进一步的研究和开发。
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来源期刊
CiteScore
19.90
自引率
2.70%
发文量
376
审稿时长
10.6 months
期刊介绍: Computing infrastructures and systems are constantly evolving, resulting in increasingly complex and collaborative scientific applications. To cope with these advancements, there is a growing need for collaborative tools that can effectively map, control, and execute these applications. Furthermore, with the explosion of Big Data, there is a requirement for innovative methods and infrastructures to collect, analyze, and derive meaningful insights from the vast amount of data generated. This necessitates the integration of computational and storage capabilities, databases, sensors, and human collaboration. Future Generation Computer Systems aims to pioneer advancements in distributed systems, collaborative environments, high-performance computing, and Big Data analytics. It strives to stay at the forefront of developments in grids, clouds, and the Internet of Things (IoT) to effectively address the challenges posed by these wide-area, fully distributed sensing and computing systems.
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