Digital Twins From Smart Manufacturing to Smart Cities: A Survey
Digital twins are quickly becoming a popular tool in several domains, taking advantage of recent advancements in the Internet of Things, Machine Learning and Big Data, while being used by both the industry sector and the research community. In this paper, we review the current research landscape as...
| Main Authors: | , , , , , |
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| Format: | Article |
| Language: | English |
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IEEE
2021-01-01
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| Series: | IEEE Access |
| Subjects: | |
| Online Access: | https://ieeexplore.ieee.org/document/9576739/ |
| _version_ | 1818893099297931264 |
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| author | Georgios Mylonas Athanasios Kalogeras Georgios Kalogeras Christos Anagnostopoulos Christos Alexakos Luis Munoz |
| author_facet | Georgios Mylonas Athanasios Kalogeras Georgios Kalogeras Christos Anagnostopoulos Christos Alexakos Luis Munoz |
| author_sort | Georgios Mylonas |
| collection | DOAJ |
| description | Digital twins are quickly becoming a popular tool in several domains, taking advantage of recent advancements in the Internet of Things, Machine Learning and Big Data, while being used by both the industry sector and the research community. In this paper, we review the current research landscape as regards digital twins in the field of smart cities, while also attempting to draw parallels with the application of digital twins in Industry 4.0. Although digital twins have received considerable attention in the Industrial Internet of Things domain, their utilization in smart cities has not been as popular thus far. We discuss here the open challenges in the field and argue that digital twins in smart cities should be treated differently and be considered as cyber-physical “systems of systems”, due to the vastly different system size, complexity and requirements, when compared to other recent applications of digital twins. We also argue that researchers should utilize established tools and methods of the smart city community, such as co-creation, to better handle the specificities of this domain in practice. |
| first_indexed | 2024-12-19T18:07:13Z |
| format | Article |
| id | doaj.art-0af39e449ade46289169e72aa7c1903a |
| institution | Directory Open Access Journal |
| issn | 2169-3536 |
| language | English |
| last_indexed | 2024-12-19T18:07:13Z |
| publishDate | 2021-01-01 |
| publisher | IEEE |
| record_format | Article |
| series | IEEE Access |
| spelling | doaj.art-0af39e449ade46289169e72aa7c1903a2022-12-21T20:11:25ZengIEEEIEEE Access2169-35362021-01-01914322214324910.1109/ACCESS.2021.31208439576739Digital Twins From Smart Manufacturing to Smart Cities: A SurveyGeorgios Mylonas0https://orcid.org/0000-0003-2128-720XAthanasios Kalogeras1https://orcid.org/0000-0001-5914-7523Georgios Kalogeras2Christos Anagnostopoulos3https://orcid.org/0000-0002-7998-5708Christos Alexakos4https://orcid.org/0000-0002-8932-6781Luis Munoz5https://orcid.org/0000-0002-7704-1199Industrial Systems Institute, Athena Research and Innovation Center, Patras, GreeceIndustrial Systems Institute, Athena Research and Innovation Center, Patras, GreeceIndustrial Systems Institute, Athena Research and Innovation Center, Patras, GreeceIndustrial Systems Institute, Athena Research and Innovation Center, Patras, GreeceIndustrial Systems Institute, Athena Research and Innovation Center, Patras, GreeceDepartment of Communications Engineering, University of Cantabria, Santander, SpainDigital twins are quickly becoming a popular tool in several domains, taking advantage of recent advancements in the Internet of Things, Machine Learning and Big Data, while being used by both the industry sector and the research community. In this paper, we review the current research landscape as regards digital twins in the field of smart cities, while also attempting to draw parallels with the application of digital twins in Industry 4.0. Although digital twins have received considerable attention in the Industrial Internet of Things domain, their utilization in smart cities has not been as popular thus far. We discuss here the open challenges in the field and argue that digital twins in smart cities should be treated differently and be considered as cyber-physical “systems of systems”, due to the vastly different system size, complexity and requirements, when compared to other recent applications of digital twins. We also argue that researchers should utilize established tools and methods of the smart city community, such as co-creation, to better handle the specificities of this domain in practice.https://ieeexplore.ieee.org/document/9576739/Digital twinsmart citiesindustry 4.0society 5.0IoTsmart manufacturing |
| spellingShingle | Georgios Mylonas Athanasios Kalogeras Georgios Kalogeras Christos Anagnostopoulos Christos Alexakos Luis Munoz Digital Twins From Smart Manufacturing to Smart Cities: A Survey IEEE Access Digital twin smart cities industry 4.0 society 5.0 IoT smart manufacturing |
| title | Digital Twins From Smart Manufacturing to Smart Cities: A Survey |
| title_full | Digital Twins From Smart Manufacturing to Smart Cities: A Survey |
| title_fullStr | Digital Twins From Smart Manufacturing to Smart Cities: A Survey |
| title_full_unstemmed | Digital Twins From Smart Manufacturing to Smart Cities: A Survey |
| title_short | Digital Twins From Smart Manufacturing to Smart Cities: A Survey |
| title_sort | digital twins from smart manufacturing to smart cities a survey |
| topic | Digital twin smart cities industry 4.0 society 5.0 IoT smart manufacturing |
| url | https://ieeexplore.ieee.org/document/9576739/ |
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