AI-Driven Digital Twins for Smart Cities
This paper explores the issues of building digital twins for smart cities, which can be controlled manually or with the assistance of intelligent systems. For these purposes, a specialized logic platform, Delta, is being built, which has such properties as transparency, reliability, and predictabili...
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| Format: | Article |
| Language: | English |
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MDPI AG
2023-11-01
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| Series: | Engineering Proceedings |
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| Online Access: | https://www.mdpi.com/2673-4591/58/1/94 |
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| _version_ | 1850261338252640256 |
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| author | Sergey Goncharov Andrey Nechesov |
| author_facet | Sergey Goncharov Andrey Nechesov |
| author_sort | Sergey Goncharov |
| collection | DOAJ |
| description | This paper explores the issues of building digital twins for smart cities, which can be controlled manually or with the assistance of intelligent systems. For these purposes, a specialized logic platform, Delta, is being built, which has such properties as transparency, reliability, and predictability. The Delta platform allows us to represent the digital twins of cities as a network of smart contracts that interact with each other within a unified multi-blockchain system. The inclusion of Delta-learning and Delta-connection modules facilitates knowledge acquisition and utilization for AI-driven process management and sensor integration within smart cities. |
| format | Article |
| id | doaj-art-a70588fa81874918b8d3259e370ce8a0 |
| institution | OA Journals |
| issn | 2673-4591 |
| language | English |
| publishDate | 2023-11-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Engineering Proceedings |
| spelling | doaj-art-a70588fa81874918b8d3259e370ce8a02025-08-20T01:55:27ZengMDPI AGEngineering Proceedings2673-45912023-11-015819410.3390/ecsa-10-16223AI-Driven Digital Twins for Smart CitiesSergey Goncharov0Andrey Nechesov1Sobolev Institute of Mathematics, Academician Koptyug’s Avenue, 4, Novosibirsk 630090, RussiaSobolev Institute of Mathematics, Academician Koptyug’s Avenue, 4, Novosibirsk 630090, RussiaThis paper explores the issues of building digital twins for smart cities, which can be controlled manually or with the assistance of intelligent systems. For these purposes, a specialized logic platform, Delta, is being built, which has such properties as transparency, reliability, and predictability. The Delta platform allows us to represent the digital twins of cities as a network of smart contracts that interact with each other within a unified multi-blockchain system. The inclusion of Delta-learning and Delta-connection modules facilitates knowledge acquisition and utilization for AI-driven process management and sensor integration within smart cities.https://www.mdpi.com/2673-4591/58/1/94smart citiesdigital twinsDelta platformartificial intelligencemulti-blockchain |
| spellingShingle | Sergey Goncharov Andrey Nechesov AI-Driven Digital Twins for Smart Cities Engineering Proceedings smart cities digital twins Delta platform artificial intelligence multi-blockchain |
| title | AI-Driven Digital Twins for Smart Cities |
| title_full | AI-Driven Digital Twins for Smart Cities |
| title_fullStr | AI-Driven Digital Twins for Smart Cities |
| title_full_unstemmed | AI-Driven Digital Twins for Smart Cities |
| title_short | AI-Driven Digital Twins for Smart Cities |
| title_sort | ai driven digital twins for smart cities |
| topic | smart cities digital twins Delta platform artificial intelligence multi-blockchain |
| url | https://www.mdpi.com/2673-4591/58/1/94 |
| work_keys_str_mv | AT sergeygoncharov aidrivendigitaltwinsforsmartcities AT andreynechesov aidrivendigitaltwinsforsmartcities |