Abstract
Digital twins are rapidly emerging as a new foundation for building smarter cities. This technology allows for the creation of virtual replicas of physical objects and systems, enabling real-time monitoring and analysis. Counterfeit products have become a major concern in the global market, especially in smart cities. This paper takes a 5-dimensional digital twin model approach to examine and summarize commonly used enabling technologies and tools for digital twin applications to address this issue. A 5-dimensional digital twin model is an advanced representation of a physical object or system encompassing different dimensions. In the context of digital twin technology, dimensions refer to different aspects or attributes that can be captured and simulated for a more comprehensive understanding of the object or system. By doing so, it aims to provide a comprehensive reference for implementing digital twins in the future.
| Original language | English |
|---|---|
| Title of host publication | Proceedings of 2023 IEEE International Smart Cities Conference, ISC2 2023 |
| Publisher | Institute of Electrical and Electronics Engineers Inc. |
| ISBN (Electronic) | 9798350397758 |
| DOIs | |
| Publication status | Published - 2023 |
| Externally published | Yes |
| Event | 9th IEEE International Smart Cities Conference, ISC2 2023 - Bucharest, Romania Duration: Sept 24 2023 → Sept 27 2023 |
Publication series
| Name | Proceedings of 2023 IEEE International Smart Cities Conference, ISC2 2023 |
|---|
Conference
| Conference | 9th IEEE International Smart Cities Conference, ISC2 2023 |
|---|---|
| Country/Territory | Romania |
| City | Bucharest |
| Period | 9/24/23 → 9/27/23 |
UN SDGs
This output contributes to the following UN Sustainable Development Goals (SDGs)
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SDG 7 Affordable and Clean Energy
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SDG 11 Sustainable Cities and Communities
Keywords
- 3D models
- Artificial intelligence
- Cloud
- Digital twin
- Smart city
ASJC Scopus subject areas
- Computer Science Applications
- Artificial Intelligence
- Computer Vision and Pattern Recognition
- Energy Engineering and Power Technology
- Renewable Energy, Sustainability and the Environment
- Communication
- Urban Studies
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