Digital Twins in Industry 5.0.


Journal

Research (Washington, D.C.)
ISSN: 2639-5274
Titre abrégé: Research (Wash D C)
Pays: United States
ID NLM: 101747148

Informations de publication

Date de publication:
2023
Historique:
received: 24 09 2022
accepted: 16 01 2023
entrez: 17 3 2023
pubmed: 18 3 2023
medline: 18 3 2023
Statut: ppublish

Résumé

This work aims to explore the impact of Digital Twins Technology on industrial manufacturing in the context of Industry 5.0. A computer is used to search the Web of Science database to summarize the Digital Twins in Industry 5.0. First, the background and system architecture of Industry 5.0 are introduced. Then, the potential applications and key modeling technologies in Industry 5.0 are discussd. It is found that equipment is the infrastructure of industrial scenarios, and the embedded intelligent upgrade for equipment is a Digital Twins primary condition. At the same time, Digital Twins can provide automated real-time process analysis between connected machines and data sources, speeding up error detection and correction. In addition, Digital Twins can bring obvious efficiency improvements and cost reductions to industrial manufacturing. Digital Twins reflects its potential application value and subsequent potential value in Industry 5.0 through the prospect. It is hoped that this relatively systematic overview can provide technical reference for the intelligent development of industrial manufacturing and the improvement of the efficiency of the entire business process in the Industrial X.0 era.

Identifiants

pubmed: 36930777
doi: 10.34133/research.0071
pii: 0071
pmc: PMC10014023
doi:

Types de publication

Journal Article

Langues

eng

Pagination

0071

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Auteurs

Zhihan Lv (Z)

Department of Game Design, Faculty of Arts, Uppsala University, Uppsala, Sweden.

Classifications MeSH