Interactive Digital Twins Framework for Asset Management Through Internet

David Flynn, Theodore Lim, Chi Wai (Leo) Kong, Sam Harper, Jamie Blanche, Daniel Mitchell

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

Abstract

Digitalization is influencing the design, operation and management, as well as planning functions for products and services across a myriad of industries. In our research we focus on the specific needs and challenges in the asset management of remote critical infrastructure. We propose a single Digital Twin framework which can synchronize the data and communication protocols across multiple devices to support exchanging data between the physical world and the cyber world under any scenario, anywhere and at any time. Our framework can support the synchronization of 1000 different sensors and actuators. The results of our Digital Twin are demonstrated using embedded, front-end sensing for offshore energy assets. It can filter and translate complex data and messages from any embedded sensor and operating system. Furthermore, we show how a complete Digital Twin framework allows end-users to simulate future events capturing the interactions between the environment, people and assets, enabling a better understanding of operational risks and remaining useful life of assets.
Original languageEnglish
Title of host publicationIEEE Global Conference on Artifical Intelligence and Internet of Things
PublisherIEEE
Publication statusAccepted/In press - 15 Dec 2020
EventIEEE Global Conference on Artificial Intelligence and Internet of Things - virutal
Duration: 12 Dec 202015 Dec 2020
https://gcaiot.org/home

Conference

ConferenceIEEE Global Conference on Artificial Intelligence and Internet of Things
Abbreviated titleIEEE GCAIoT 2020
Period12/12/2015/12/20
Internet address

Keywords

  • Digital
  • Asset Management
  • sensors
  • Internet of Things (IoT)
  • Cyber-physical systems

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