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Research on the Application of Digital Twin in Smart Cities
- 1 The University of Edinburgh
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Abstract
With the development of technology, digital twin has played a non-negligible positive impact on the development of smart cities. From the mutually influential nature of digital twin and smart city, this paper analyzes the progress of digital twin technology in smart city applications through theory and case studies. The author examines three key cases: city brain, IoT cloud platform, and smart hub, to explore the application of digital twin technology in smart cities. In addition, the paper presents the potential problems of digital twin in smart cities, such as insufficient infrastructure, insufficient systematic data integration and few application scenarios. In future research, the author suggests that digital twin technology holds promise for enabling innovative applications in areas such as environmental protection, security, energy, healthcare, and tourism within smart cities.
Keywords
digital twin, smart city, urban management, Internet of things
[1]. LI C, Liu J W, Wang L, Chen Y F. Digital twin in the application of intelligent city [J]. China Inspection and Testing, 2022,30(04):42-46. DOI:10.16428/j.cnki.cn10-1469/tb.2022.04.012.
[2]. Lim K Y H, Zheng P, Chen C H, et al. A digital twin-enhanced system for engineering product family design and optimization[J]. Journal of Manufacturing Systems, 2020, 57: 82-93.
[3]. El Saddik A. Digital twins: The convergence of multimedia technologies[J]. IEEE multimedia, 2018, 25(2): 87-92.
[4]. Zhang Z L. Digital twins help the new infrastructure of future smart cities [J]. Information Construction,2021(09):30-32.
[5]. Xu G, Li M, Chen C H, et al. Cloud asset-enabled integrated IoT platform for lean prefabricated construction[J]. Automation in Construction, 2018, 93: 123-134.
[6]. Ben Q S, Peng X B. Artificial intelligence application embedded in government governance: Practice, mechanism and risk architecture: A case study of Hangzhou City Brain [J]. Journal of Gansu Administration College,2020(03):29-42+125.
[7]. Mohammadi N, Taylor J. Knowledge discovery in smart city digital twins[J]. 2020.
[8]. Yu J X, Fan L. Digital technology enabling social governance and its limits: A case study of Hangzhou's urban brain [J]. Comparison of Economic and Social Systems,2022(01):117-126.
Cite this article
Hu,L. (2023). Research on the Application of Digital Twin in Smart Cities. Advances in Economics, Management and Political Sciences,42,14-20.
Data availability
The datasets used and/or analyzed during the current study will be available from the authors upon reasonable request.
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Volume title: Proceedings of the 7th International Conference on Economic Management and Green Development
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