Digital Twin Perspective of Fourth Industrial and Healthcare Revolution

  • Sagheer Khan*
  • , Tughrul Arslan
  • , Tharmalingam Ratnarajah
  • *Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

99 Scopus citations

Abstract

Digital Twin (DT) is bringing revolution to our lives by a digital representation of the physical system. DT is the creation of the joint usage of various technologies like Cyber-Physical System (CPS), Internet of Things (IoT), Big Data, Edge Computing (EC), Artificial Intelligence (AI), and Machine Learning (ML), etc. DTs are established to optimize a wide range of applications of industry, healthcare, smart cities, smart homes, etc. It is still in its early development stages. This paper fills the gaps by combining the extensive information on technologies utilized in the creation of DT in industry and healthcare. The paper focuses on studying the characteristics of DT, communication technologies and tools utilized in the creation of DT models, reference models, standards, and the researcher's recent work in smart manufacturing and healthcare. Challenges and open issues that need attention are also discussed.

Original languageEnglish
Pages (from-to)25732-25754
Number of pages23
JournalIEEE Access
Volume10
DOIs
StatePublished - 2022
Externally publishedYes

Bibliographical note

Publisher Copyright:
© 2013 IEEE.

Keywords

  • Artificial intelligence
  • RAMI 4.0
  • big data analytics
  • cloud
  • communication technologies
  • digital twin
  • edge computing
  • fog
  • health care 4.0
  • industry 4.0

ASJC Scopus subject areas

  • General Computer Science
  • General Materials Science
  • General Engineering

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