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Title	Smart Cities Using Digital Twins And Industrial Iot Based Technologies: Tools And Products From The Industry Sector
ID_Doc	49709
Authors	Koithyar A.; Venkataramana A.; Kavin B.P.; Seng G.H.
Year	2024
Published	Digital Twins in Industrial Production and Smart Manufacturing: An Understanding of Principles, Enhancers, and Obstacles
DOI	http://dx.doi.org/10.1002/9781394195336.ch15
Abstract	Using current developments in the IoT, digital twins (DTs) are swiftly becoming a popular tool in both the business and academic worlds. The development of Industry 4.0 ideas has aided expansion, especially in manufacturing. Although it has several definitions, “Digital Twin” describes the seamless counterpart most accurately. In this work, we seek to establish similarities between the use of DT in Industry 4.0 and the research environment about DTs in the context of smart cities. While DTs have garnered much attention in the IoT for manufacturing contexts, their use in smart cities could be faster to catch on. Recent studies on DT are reviewed and organized into a systematic review. We also contend that researchers may benefit from using tried-and-true methodologies from the co-creation to deal with the practical challenges unique to this area. This study evaluates the technologies that make DTs possible, the obstacles they face, and the current areas of open research. © 2024 by The Institute of Electrical and Electronics Engineers, Inc. All rights reserved.
Author Keywords	big data; digital twins; Industry 4.0; machine learning; smart cities; virtual machine

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