Volume 4, Issue 1, June 2020, Page: 36-41
Research on the Framework of Smart City Operating System Based on New ICTs
Wu Jun, Fiber Home Telecommunication Technologies Co., Ltd., Wuhan, China
Received: Apr. 17, 2020;       Accepted: May 18, 2020;       Published: May 29, 2020
DOI: 10.11648/j.ajai.20200401.14      View  364      Downloads  122
With the deepening of Chinses national strategies such as Digital China and Artificial Intelligence, urban informatization is evolving from a smart city to a more advanced and super-intelligent system integrating urban governance with new information and communication technologies (ICTs) represented by artificial intelligence, big data, cloud computing. How to use the new ICTs to build the "smart city operating system" and other smart platforms to realize urban smartness has become the current research focus. First, this paper analyzes the four stages of the evolution of smart cities and the new ICTs that support urban agents. Second, taking the smart city planning of Wuhan Yangtze New City as an example, this paper introduces vision of Wuhan Yangtze New City, and analyzes the overall structure and smart infrastructure architecture of Wuhan Yangtze new smart city, and deeply studies the framework of the new ICTs-based Yangtze River Smart City operating system, including its compositions, integrated data architecture and application domain architecture. The third, how the new ICTs-based urban operating system can help cities achieve super-intelligence is also discussed. In addition, the paper suggested that Wuhan Yangtze New City should further improve its resilient urban planning for the future.
Information and Communication Technologies (ICTs), Artificial Intelligence (AI), New Smart City, Urban Smart Agent, Super-intelligence System, Urban Operating System
To cite this article
Wu Jun, Research on the Framework of Smart City Operating System Based on New ICTs, American Journal of Artificial Intelligence. Vol. 4, No. 1, 2020, pp. 36-41. doi: 10.11648/j.ajai.20200401.14
Chinese Society for Urban Studies. City science and the city of the future [M]. Beijing: Science and technology of China press, 2016.
CHEN C, CUI Y, ZHANG Y X, et al. Research report on the development and practice of new smart city [R]. Beijing: China academy of information and communications, China telecom group co. LTD, 2018.
WU J. Practicing digital transformation by developing new smart city business [J]. Journal of Electrical and Electronic Engineering, 2018, 6 (6): 160-163.
Yu S H. A new paradigm of future network: Net-AI agent and city-AI agent [J]. Study on optical communications, 2018, (6): 1-8.
Datta, S. P. A. (2016). Emergence of digital twins [J]. arXiv preprint arXiv: 1610.06467 [cs. CY].
Shanghai Tongji planning and design institute. Study on master plan of Wuhan Yangtze River New City [R]. Wuhan: Wuhan Yangtze River New City management committee, 2018.
WU J. Wuhan Yangtze New City smart city special planning research [R]. Wuhan: FiberHome Telecommunication Technologies Co., Ltd., 2019.
WU J. Wuhan Yangtze New City smart city special planning research [C]. Proceedings of the China automation conference 2019 (CAC2019), 2019.
Standardization Administration of the People's Republic of China. Top-level design guide for smart cities, GB/T36333-2018 [S]. 2018.
YU J S, LIN K, HUANG Z H, et al. Smart city ——top-level design and practice [M]. Beijing: Posts & Telecom Press, 2017.
ZHANG J F, HUA X S, HUANG J Q, et al. City brain: practice of large-scale artificial intelligence in the real world [J]. IET Smart Cities, 2019, doi: 10.1049/iet-smc.2019.0034 www.ietdl.org.
China academy of information and communications. Urban big data white paper [R]. Beijing: China academy of information and communications, Big data technical standard promotion committee of China telecommunication standardization association, 2019.
CRONEMBERGER F, GIL-GARCIA J R. Big data and analytics as strategies to generate public value in smart cities: proposing an integrative framework [M]. Switzerland: Springer Nature, 2019.
Merkel, D. (2014) Docker: Lightweight Linux Containers for Consistent Development and Deployment. Linux Journal, 2014, No. 2.
Mehdi Mohammadi, Ala Al-Fuqaha, Mohsen Guizani, et al. Semisupervised Deep Reinforcement Learning in Support of IoT and Smart City Services [J]. IEEE Internet of Things Journal (IF 9.515), 2017, doi: 10.1109/jiot.2017.2712560.
Browse journals by subject