Building a digital twin for industrial Internet of Things with interoperability

Rabia Khan, Nyasha Tsiga, Kinan Ghanem

Research output: Chapter in Book/Report/Conference proceedingConference contribution book

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Abstract

For Internet-of-Things (IoT), 6G, interconnected world, high technological demand, big data and complexity is increasing the requirement of new algorithm designs, protocols and improvement in the existing systems. The fancy IoT term has started to evolve from academics to real life implementation. Tremendous number of organizations and industries require their systems to be upgraded. Industries, however, are in high need for the technological improvement due to the amount of data collected every day. The collection of data is meaningless without being analysed. A stand-alone industry with high amount of OT devices cannot efficiently deal with the data and its analysis, which bring the need for OT/IT convergence and digital twin in industries.This paper proposes the steps to build a Digital Twin (DT) for one of the Industrial Internet of Things (IIoT) setup. These steps include the collection of data on the site from OT devices, processing of data near site, OT/IT convergence, uploading of data to the cloud or the wireless transmission of data and inter-operability between the physical and DT. Within the processing of data, finding of implementation, some iterations for distributed and parallel computation, and the data processing method are also proposed.
Original languageEnglish
Title of host publicationMoscow Workshop on Electronic and Networking Technologies, MWENT 2022 - Proceedings
EditorsOleg Stukach
Place of PublicationPiscataway, NJ
PublisherIEEE
Pages1-5
Number of pages5
ISBN (Electronic)9781665496667
ISBN (Print)9781665496674
DOIs
Publication statusPublished - 24 Jun 2022

Publication series

NameMoscow Workshop on Electronic and Networking Technologies, MWENT 2022 - Proceedings

Keywords

  • digital twin
  • distributed and parallel computing
  • interoperability
  • OT/IT convergence

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