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Applied Sciences
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Digital Twins and CPS (Cyberphysical Systems)
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Digital Twins and CPS (Cyberphysical Systems)

A special issue of Applied Sciences (ISSN 2076-3417). This special issue belongs to the section "Computing and Artificial Intelligence".

Deadline for manuscript submissions: closed (30 October 2021) | Viewed by 13376

Special Issue Editor

Prof. Dr. Youngchul Bae

E-Mail Website
Guest Editor
Division of Electrical and Computer Engineering, Chonnam National University, Daehak-ro 50, Yeosu 59626, Republic of Korea
Interests: intelligent system; deep learning; chaotic dynamics; nonlinear control; energy prediction; fuzzy and neural network; robot control; digital twins and CPS (cyber–physical system)
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues,

I would like to cordially invite you to contribute a paper to Special Issue of the open access journal Applied Sciences, entitled “Digital twins and CPS (Cyberphysical Systems)”, which aims to present recent developments of digital twins and CPS in the fields of smart systems including academic, research and industries, and so on.

This Special Issue contains digital twins, CPS, and their related themes or applications. I invite you to submit your research on these topics, in the form of original research papers and articles.

Prof. Dr. Youngchul Bae
Guest Editor

Manuscript Submission Information

Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.

Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Applied Sciences is an international peer-reviewed open access semimonthly journal published by MDPI.

Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2400 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.

Keywords

  • Digital twins
  • CPS
  • CPSS (cyberphysical–social system) and its application
  • Others

Published Papers (2 papers)

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Research

19 pages, 703 KiB  
Article
Semantic Microservice Framework for Digital Twins
by Gernot Steindl and Wolfgang Kastner
Appl. Sci. 2021, 11(12), 5633; https://0-doi-org.brum.beds.ac.uk/10.3390/app11125633 - 18 Jun 2021
Cited by 19 | Viewed by 3925
Abstract
Digital Twins (DT) in industrial cyber-physical systems are the key enabling technology for Industry 4.0. Services are an essential part of almost every DT concept, but their interaction is usually implementation-specific since no common guidelines are available. This work identifies some fundamental requirements [...] Read more.
Digital Twins (DT) in industrial cyber-physical systems are the key enabling technology for Industry 4.0. Services are an essential part of almost every DT concept, but their interaction is usually implementation-specific since no common guidelines are available. This work identifies some fundamental requirements for a DT service framework based on applications identified in corresponding literature. Based on these requirements, a service framework architecture is proposed. The architecture utilizes Semantic Web technology and a workflow engine for service orchestration to support the fulfilment of the identified requirements. As a case study for sensor data evaluation of an industrial process, a proof-of-concept implementation is presented, showing the feasibility and suitability of the proposed DT service framework architecture. Full article
(This article belongs to the Special Issue Digital Twins and CPS (Cyberphysical Systems))
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20 pages, 1131 KiB  
Article
Generic Digital Twin Architecture for Industrial Energy Systems
by Gernot Steindl, Martin Stagl, Lukas Kasper, Wolfgang Kastner and Rene Hofmann
Appl. Sci. 2020, 10(24), 8903; https://0-doi-org.brum.beds.ac.uk/10.3390/app10248903 - 13 Dec 2020
Cited by 72 | Viewed by 8268
Abstract
Digital Twins have been in the focus of research in recent years, trying to achieve the vision of Industry 4.0. In the domain of industrial energy systems, they are applied to facilitate a flexible and optimized operation. With the help of Digital Twins, [...] Read more.
Digital Twins have been in the focus of research in recent years, trying to achieve the vision of Industry 4.0. In the domain of industrial energy systems, they are applied to facilitate a flexible and optimized operation. With the help of Digital Twins, the industry can participate even stronger in the ongoing renewable energy transition. Current Digital Twin implementations are often application-specific solutions without general architectural concepts and their structures and namings differ, although the basic concepts are quite similar. For this reason, we analyzed concepts, architectures, and frameworks for Digital Twins in the literature to develop a technology-independent Generic Digital Twin Architecture (GDTA), which is aligned with the information technology layers of the Reference Architecture Model Industry 4.0 (RAMI4.0). This alignment facilitates a common naming and understanding of the proposed architectural structure. A proof-of-concept shows the application of Semantic Web technologies for instantiating the proposed GDTA for a use case of a Packed-Bed Thermal Energy Storage (PBTES). Full article
(This article belongs to the Special Issue Digital Twins and CPS (Cyberphysical Systems))
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