Abstract | ||
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This article describes the use of digital twins for smart cities, i. e., the Urban Digital Twin (UDTw) concept. It shows how UDTws can be realized using the open source components from the FIWARE ecosystem that are already used in more than 200 cities worldwide. The used NGSI-LD standard is supported by the European Connecting Europe Facility, the Open and Agile Smart City community, the Indian Urban Data Exchange platform, and the Japanese Smart City Reference Model. Unlike digital twins in other domains, e. g., manufacturing, where digital twins are co-developed with their physical counterparts, UDTws often evolve driven by different stakeholders, on different time scales, as well as by utilizing many different data sources from the city. This article builds on a well established lifecycle model for Digital Twins and combines this with a conceptual model for digital twins consisting of data, reactive, predictive and forecasting ("what if") digital twin functionalities. The article also describes how AI based technologies can be used to extract knowledge to build the UDTws from the IoT-based infrastructure of a smart city. |
Year | DOI | Venue |
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2021 | 10.1515/auto-2021-0083 | AT-AUTOMATISIERUNGSTECHNIK |
Keywords | DocType | Volume |
Digital Twin,  , Internet of Things,  , data sharing,  , Smart City | Journal | 69 |
Issue | ISSN | Citations |
12 | 0178-2312 | 0 |
PageRank | References | Authors |
0.34 | 0 | 5 |
Name | Order | Citations | PageRank |
---|---|---|---|
Martin Peter Bauer | 1 | 0 | 0.34 |
Flavio Cirillo | 2 | 13 | 3.93 |
Jonathan Fürst | 3 | 0 | 0.68 |
Gürkan Solmaz | 4 | 1 | 1.38 |
Ernö Kovacs | 5 | 30 | 4.78 |