L. Kong, S. Harper, D. Mitchell, J. Blanche, T. Lim, D. Flynn
{"title":"Interactive Digital Twins Framework for Asset Management Through Internet","authors":"L. Kong, S. Harper, D. Mitchell, J. Blanche, T. Lim, D. Flynn","doi":"10.1109/GCAIoT51063.2020.9345890","DOIUrl":null,"url":null,"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.","PeriodicalId":398815,"journal":{"name":"2020 IEEE Global Conference on Artificial Intelligence and Internet of Things (GCAIoT)","volume":"35 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2020-12-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"13","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2020 IEEE Global Conference on Artificial Intelligence and Internet of Things (GCAIoT)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/GCAIoT51063.2020.9345890","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 13
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.