Artificial intelligence in the digital twins: State of the art, challenges, and future research topics [version 2; peer review: 2 approved]
Advanced computer technologies such as big data, Artificial Intelligence (AI), cloud computing, digital twins, and edge computing have been applied in various fields as digitalization has progressed. To study the status of the application of digital twins in the combination with AI, this paper class...
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| Format: | Article |
| Language: | English |
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F1000 Research Ltd
2022-11-01
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| Series: | Digital Twin |
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| Online Access: | https://digitaltwin1.org/articles/1-12/v2 |
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| _version_ | 1846126272441221120 |
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| author | Zhihan Lv Shuxuan Xie |
| author_facet | Zhihan Lv Shuxuan Xie |
| author_sort | Zhihan Lv |
| collection | DOAJ |
| description | Advanced computer technologies such as big data, Artificial Intelligence (AI), cloud computing, digital twins, and edge computing have been applied in various fields as digitalization has progressed. To study the status of the application of digital twins in the combination with AI, this paper classifies the applications and prospects of AI in digital twins by studying the research results of the current published literature. We discuss the application status of digital twins in the four areas of aerospace, intelligent manufacturing in production workshops, unmanned vehicles, and smart city transportation, and we review the current challenges and topics that need to be looked forward to in the future. It was found that the integration of digital twins and AI has significant effects in aerospace flight detection simulation, failure warning, aircraft assembly, and even unmanned flight. In the virtual simulation test of automobile autonomous driving, it can save 80% of the time and cost, and the same road conditions reduce the parameter scale of the actual vehicle dynamics model and greatly improve the test accuracy. In the intelligent manufacturing of production workshops, the establishment of a virtual workplace environment can provide timely fault warning, extend the service life of the equipment, and ensure the overall workshop operational safety. In smart city traffic, the real road environment is simulated, and traffic accidents are restored, so that the traffic situation is clear and efficient, and urban traffic management can be carried out quickly and accurately. Finally, we looked forward to the future of digital twins and AI, hoping to provide a reference for future research in related fields. |
| format | Article |
| id | doaj-art-3c3ba9c8a8094c86b6e004f0bf460a83 |
| institution | Kabale University |
| issn | 2752-5783 |
| language | English |
| publishDate | 2022-11-01 |
| publisher | F1000 Research Ltd |
| record_format | Article |
| series | Digital Twin |
| spelling | doaj-art-3c3ba9c8a8094c86b6e004f0bf460a832024-12-13T01:00:16ZengF1000 Research LtdDigital Twin2752-57832022-11-01119073Artificial intelligence in the digital twins: State of the art, challenges, and future research topics [version 2; peer review: 2 approved]Zhihan Lv0https://orcid.org/0000-0003-2525-3074Shuxuan Xie1https://orcid.org/0000-0002-4152-4666Department of Game Design, Faculty of Arts, Uppsala University, Uppsala, SE 75105, SwedenCollege of Computer Science and Technology, Qingdao University, Qingdao, 266071, ChinaAdvanced computer technologies such as big data, Artificial Intelligence (AI), cloud computing, digital twins, and edge computing have been applied in various fields as digitalization has progressed. To study the status of the application of digital twins in the combination with AI, this paper classifies the applications and prospects of AI in digital twins by studying the research results of the current published literature. We discuss the application status of digital twins in the four areas of aerospace, intelligent manufacturing in production workshops, unmanned vehicles, and smart city transportation, and we review the current challenges and topics that need to be looked forward to in the future. It was found that the integration of digital twins and AI has significant effects in aerospace flight detection simulation, failure warning, aircraft assembly, and even unmanned flight. In the virtual simulation test of automobile autonomous driving, it can save 80% of the time and cost, and the same road conditions reduce the parameter scale of the actual vehicle dynamics model and greatly improve the test accuracy. In the intelligent manufacturing of production workshops, the establishment of a virtual workplace environment can provide timely fault warning, extend the service life of the equipment, and ensure the overall workshop operational safety. In smart city traffic, the real road environment is simulated, and traffic accidents are restored, so that the traffic situation is clear and efficient, and urban traffic management can be carried out quickly and accurately. Finally, we looked forward to the future of digital twins and AI, hoping to provide a reference for future research in related fields.https://digitaltwin1.org/articles/1-12/v2Digital twins artificial intelligence intelligent manufacturing autonomous driving smart city eng |
| spellingShingle | Zhihan Lv Shuxuan Xie Artificial intelligence in the digital twins: State of the art, challenges, and future research topics [version 2; peer review: 2 approved] Digital Twin Digital twins artificial intelligence intelligent manufacturing autonomous driving smart city eng |
| title | Artificial intelligence in the digital twins: State of the art, challenges, and future research topics [version 2; peer review: 2 approved] |
| title_full | Artificial intelligence in the digital twins: State of the art, challenges, and future research topics [version 2; peer review: 2 approved] |
| title_fullStr | Artificial intelligence in the digital twins: State of the art, challenges, and future research topics [version 2; peer review: 2 approved] |
| title_full_unstemmed | Artificial intelligence in the digital twins: State of the art, challenges, and future research topics [version 2; peer review: 2 approved] |
| title_short | Artificial intelligence in the digital twins: State of the art, challenges, and future research topics [version 2; peer review: 2 approved] |
| title_sort | artificial intelligence in the digital twins state of the art challenges and future research topics version 2 peer review 2 approved |
| topic | Digital twins artificial intelligence intelligent manufacturing autonomous driving smart city eng |
| url | https://digitaltwin1.org/articles/1-12/v2 |
| work_keys_str_mv | AT zhihanlv artificialintelligenceinthedigitaltwinsstateoftheartchallengesandfutureresearchtopicsversion2peerreview2approved AT shuxuanxie artificialintelligenceinthedigitaltwinsstateoftheartchallengesandfutureresearchtopicsversion2peerreview2approved |