Applications of Digital Twin across Industries: A Review

Applied Sciences

Vladimir Kuts¹  Declan Devine²  Rupal Srivastava²  Evert Fuenmayor²  Maulshree Singh²  Yuansong Qiao³  Niall Murray³ 

[1] Confirm Smart Manufacturing, Science Foundation Ireland, V94 C928 Limerick, Ireland;PRISM Research Institute, Technological University of the Shannon, Midlands Midwest, Athlone Main Campus, N37 HD68 Athlone, Ireland;Software Research Institute, Athlone Institute of Technology, Technological University of the Shannon, Midlands Midwest, N37 HD68 Athlone, Ireland;

关键词: Digital Twin;    Industry 4.0;    Smart Manufacturing;    system optimization;    predictive maintenance;   

DOI  :  10.3390/app12115727

来源: DOAJ

【 摘 要 】

One of the most promising technologies that is driving digitalization in several industries is Digital Twin (DT). DT refers to the digital replica or model of any physical object (physical twin). What differentiates DT from simulation and other digital or CAD models is the automatic bidirectional exchange of data between digital and physical twins in real-time. The benefits of implementing DT in any sector include reduced operational costs and time, increased productivity, better decision making, improved predictive/preventive maintenance, etc. As a result, its implementation is expected to grow exponentially in the coming decades as, with the advent of Industry 4.0, products and systems have become more intelligent, relaying on collection and storing incremental amounts of data. Connecting that data effectively to DTs can open up many new opportunities and this paper explores different industrial sectors where the implementation of DT is taking advantage of these opportunities and how these opportunities are taking the industry forward. The paper covers the applications of DT in 13 different industries including the manufacturing, agriculture, education, construction, medicine, and retail, along with the industrial use case in these industries.

【 授权许可】

Unknown