Digital Twin Perspective of Fourth Industrial and Healthcare Revolution

Sagheer Khan, Tughrul Arslan, Tharmalingam Ratnarajah

Research output: Contribution to journalArticlepeer-review

Abstract / Description of output

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
Article number9726212
Pages (from-to)25732-25754
Number of pages23
JournalIEEE Access
Volume10
Early online date2 Mar 2022
DOIs
Publication statusE-pub ahead of print - 2 Mar 2022

Keywords / Materials (for Non-textual outputs)

  • Fourth Industrial Revolution
  • Medical services
  • Industries
  • Standards
  • Internet of Things
  • Communications technology
  • Smart manufacturing
  • big data analytics
  • edge computing
  • digital twin
  • communication technologies
  • 0
  • cloud
  • industry 4
  • RAMI 4
  • Artificial intelligence
  • health care 4
  • fog
  • industry 4.0
  • RAMI 4.0
  • health care 4.0

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