Interactive Digital Twins Framework for Asset Management Through Internet

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

doi:10.1109/GCAIoT51063.2020.9345890

Interactive Digital Twins Framework for Asset Management Through Internet

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

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

13 Citations (Scopus)

269 Downloads (Pure)

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 language	English
Title of host publication	2020 IEEE Global Conference on Artificial Intelligence and Internet of Things (GCAIoT)
Publisher	IEEE
ISBN (Electronic)	9781728184203
DOIs	https://doi.org/10.1109/GCAIoT51063.2020.9345890
Publication status	Published - 9 Feb 2021
Event	2020 IEEE Global Conference on Artificial Intelligence and Internet of Things - virutal Duration: 12 Dec 2020 → 15 Dec 2020 https://gcaiot.org/home

Conference

Conference	2020 IEEE Global Conference on Artificial Intelligence and Internet of Things
Abbreviated title	IEEE GCAIoT 2020
Period	12/12/20 → 15/12/20
Internet address	https://gcaiot.org/home

Keywords

Asset Management
Cyber Physical System
Digital Twin
Embedded Sensing
Internet of Things

ASJC Scopus subject areas

Artificial Intelligence
Computer Networks and Communications
Hardware and Architecture
Information Systems and Management

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10.1109/GCAIoT51063.2020.9345890

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title = "Interactive Digital Twins Framework for Asset Management Through Internet",

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.",

keywords = "Asset Management, Cyber Physical System, Digital Twin, Embedded Sensing, Internet of Things",

author = "Kong, {Chi Wai (Leo)} and Sam Harper and Daniel Mitchell and Jamie Blanche and Theodore Lim and David Flynn",

note = "Funding Information: The research reported within this paper has been supported by the Engineering Physical Sciences Research Council (EPSRC) Offshore Robotics for the Certification of Assets (ORCA). Industrial support from MicroSense Technologies Ltd (MTL) in the provision of their patent radar technology is also acknowledged as a vital contribution to this research. Publisher Copyright: {\textcopyright} 2020 IEEE.; 2020 IEEE Global Conference on Artificial Intelligence and Internet of Things, IEEE GCAIoT 2020 ; Conference date: 12-12-2020 Through 15-12-2020",

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Kong, CW, Harper, S, Mitchell, D, Blanche, J, Lim, T & Flynn, D 2021, Interactive Digital Twins Framework for Asset Management Through Internet. in 2020 IEEE Global Conference on Artificial Intelligence and Internet of Things (GCAIoT)., 9345890, IEEE, 2020 IEEE Global Conference on Artificial Intelligence and Internet of Things, 12/12/20. https://doi.org/10.1109/GCAIoT51063.2020.9345890

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AU - Kong, Chi Wai (Leo)

AU - Harper, Sam

AU - Mitchell, Daniel

AU - Blanche, Jamie

AU - Lim, Theodore

AU - Flynn, David

N1 - Funding Information: The research reported within this paper has been supported by the Engineering Physical Sciences Research Council (EPSRC) Offshore Robotics for the Certification of Assets (ORCA). Industrial support from MicroSense Technologies Ltd (MTL) in the provision of their patent radar technology is also acknowledged as a vital contribution to this research. Publisher Copyright: © 2020 IEEE.

PY - 2021/2/9

Y1 - 2021/2/9

N2 - 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.

AB - 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.

KW - Asset Management

KW - Cyber Physical System

KW - Digital Twin

KW - Embedded Sensing

KW - Internet of Things

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DO - 10.1109/GCAIoT51063.2020.9345890

M3 - Conference contribution

BT - 2020 IEEE Global Conference on Artificial Intelligence and Internet of Things (GCAIoT)

PB - IEEE

T2 - 2020 IEEE Global Conference on Artificial Intelligence and Internet of Things

Y2 - 12 December 2020 through 15 December 2020

ER -

Interactive Digital Twins Framework for Asset Management Through Internet

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Keywords

ASJC Scopus subject areas

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