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Systems Architecture Design Pattern Catalog for Developing Digital Twins

A digital twin is a digital replica of a physical entity to which it is remotely connected. A digital twin can provide a rich representation of the corresponding physical entity and enables sophisticated control for various purposes. Although the concept of the digital twin is largely known, designi...

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Detalles Bibliográficos
Autores principales: Tekinerdogan, Bedir, Verdouw, Cor
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7570903/
https://www.ncbi.nlm.nih.gov/pubmed/32906851
http://dx.doi.org/10.3390/s20185103
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author Tekinerdogan, Bedir
Verdouw, Cor
author_facet Tekinerdogan, Bedir
Verdouw, Cor
author_sort Tekinerdogan, Bedir
collection PubMed
description A digital twin is a digital replica of a physical entity to which it is remotely connected. A digital twin can provide a rich representation of the corresponding physical entity and enables sophisticated control for various purposes. Although the concept of the digital twin is largely known, designing digital twins based systems has not yet been fully explored. In practice, digital twins can be applied in different ways leading to different architectural designs. To guide the architecture design process, we provide a pattern-oriented approach for architecting digital twin-based systems. To this end, we propose a catalog of digital twin architecture design patterns that can be reused in the broad context of systems engineering. The patterns support the various phases in the systems engineering life cycle process, and are described using a well-defined pattern documentation template. For illustrating the application of digital twin patterns, we adopt a multi-case study approach in the agriculture and food domain.
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spelling pubmed-75709032020-10-28 Systems Architecture Design Pattern Catalog for Developing Digital Twins Tekinerdogan, Bedir Verdouw, Cor Sensors (Basel) Article A digital twin is a digital replica of a physical entity to which it is remotely connected. A digital twin can provide a rich representation of the corresponding physical entity and enables sophisticated control for various purposes. Although the concept of the digital twin is largely known, designing digital twins based systems has not yet been fully explored. In practice, digital twins can be applied in different ways leading to different architectural designs. To guide the architecture design process, we provide a pattern-oriented approach for architecting digital twin-based systems. To this end, we propose a catalog of digital twin architecture design patterns that can be reused in the broad context of systems engineering. The patterns support the various phases in the systems engineering life cycle process, and are described using a well-defined pattern documentation template. For illustrating the application of digital twin patterns, we adopt a multi-case study approach in the agriculture and food domain. MDPI 2020-09-07 /pmc/articles/PMC7570903/ /pubmed/32906851 http://dx.doi.org/10.3390/s20185103 Text en © 2020 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Tekinerdogan, Bedir
Verdouw, Cor
Systems Architecture Design Pattern Catalog for Developing Digital Twins
title Systems Architecture Design Pattern Catalog for Developing Digital Twins
title_full Systems Architecture Design Pattern Catalog for Developing Digital Twins
title_fullStr Systems Architecture Design Pattern Catalog for Developing Digital Twins
title_full_unstemmed Systems Architecture Design Pattern Catalog for Developing Digital Twins
title_short Systems Architecture Design Pattern Catalog for Developing Digital Twins
title_sort systems architecture design pattern catalog for developing digital twins
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7570903/
https://www.ncbi.nlm.nih.gov/pubmed/32906851
http://dx.doi.org/10.3390/s20185103
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