Digital twins: artificial intelligence and the IoT cyber-physical systems in Industry 4.0

This paper presents a summary of mechanisms for the evolution of artificial intelligence in ‘internet of things’ networks. Firstly, the paper investigates how the use of new technologies in industrial systems improves organisational resilience supporting both a technical and human level. Secondly, t...

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Main Authors: Radanliev, P, De Roure, D, Nicolescu, R, Huth, M, Santos, O
Format: Journal article
Language:English
Published: Springer 2021
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author Radanliev, P
De Roure, D
Nicolescu, R
Huth, M
Santos, O
author_facet Radanliev, P
De Roure, D
Nicolescu, R
Huth, M
Santos, O
author_sort Radanliev, P
collection OXFORD
description This paper presents a summary of mechanisms for the evolution of artificial intelligence in ‘internet of things’ networks. Firstly, the paper investigates how the use of new technologies in industrial systems improves organisational resilience supporting both a technical and human level. Secondly, the paper reports empirical results that correlate academic literature with Industry 4.0 interdependencies between edge components to both external and internal services and systems. The novelty of the paper is a new approach for creating a virtual representation operating as a real-time digital counterpart of a physical object or process (i.e., digital twin) outlined in a conceptual diagram. The methodology applied in this paper resembled a grounded theory analysis of complex interconnected and coupled systems. By connecting the human–computer interactions in different information knowledge management systems, this paper presents a summary of mechanisms for the evolution of artificial intelligence in internet of things networks.
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spelling oxford-uuid:bf900048-b536-41f0-9d12-671573fa7ea82022-03-27T05:48:21ZDigital twins: artificial intelligence and the IoT cyber-physical systems in Industry 4.0Journal articlehttp://purl.org/coar/resource_type/c_dcae04bcuuid:bf900048-b536-41f0-9d12-671573fa7ea8EnglishSymplectic ElementsSpringer2021Radanliev, PDe Roure, DNicolescu, RHuth, MSantos, OThis paper presents a summary of mechanisms for the evolution of artificial intelligence in ‘internet of things’ networks. Firstly, the paper investigates how the use of new technologies in industrial systems improves organisational resilience supporting both a technical and human level. Secondly, the paper reports empirical results that correlate academic literature with Industry 4.0 interdependencies between edge components to both external and internal services and systems. The novelty of the paper is a new approach for creating a virtual representation operating as a real-time digital counterpart of a physical object or process (i.e., digital twin) outlined in a conceptual diagram. The methodology applied in this paper resembled a grounded theory analysis of complex interconnected and coupled systems. By connecting the human–computer interactions in different information knowledge management systems, this paper presents a summary of mechanisms for the evolution of artificial intelligence in internet of things networks.
spellingShingle Radanliev, P
De Roure, D
Nicolescu, R
Huth, M
Santos, O
Digital twins: artificial intelligence and the IoT cyber-physical systems in Industry 4.0
title Digital twins: artificial intelligence and the IoT cyber-physical systems in Industry 4.0
title_full Digital twins: artificial intelligence and the IoT cyber-physical systems in Industry 4.0
title_fullStr Digital twins: artificial intelligence and the IoT cyber-physical systems in Industry 4.0
title_full_unstemmed Digital twins: artificial intelligence and the IoT cyber-physical systems in Industry 4.0
title_short Digital twins: artificial intelligence and the IoT cyber-physical systems in Industry 4.0
title_sort digital twins artificial intelligence and the iot cyber physical systems in industry 4 0
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AT huthm digitaltwinsartificialintelligenceandtheiotcyberphysicalsystemsinindustry40
AT santoso digitaltwinsartificialintelligenceandtheiotcyberphysicalsystemsinindustry40