Abstract
In order to effectively improve the management level and service level of the intelligent park, the information fusion in the intelligent park is studied. First, the main concepts of the Internet of things and cloud computing are discussed. It includes key technology, architecture, application field and key technology of cloud computing, platform architecture and so on. Based on the above, a hardware architecture and technical scheme based on cloud computing, cloud storage and cloud analysis is proposed. The design of the application system, the application support platform, the transmission and the sensors used in the park are discussed. In addition, a software architecture and technical scheme for information intelligent application system based on cloud computing, cloud storage and cloud analysis is proposed. The research target and function design of each application system are studied in detail. Finally, the implementation effect of intercommunication and fusion processing between the systems is analyzed. The results show that the system can effectively solve the information island phenomenon. The introduction of new technology will bring great social and economic benefits for the park. It provides a reference for the development of intelligent cities.
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01 December 2022
This article has been retracted. Please see the Retraction Notice for more detail: https://doi.org/10.1007/s10586-022-03879-7
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Acknowledgements
The authors acknowledge Training and Supporting Project for Young or Middle-aged Teachers of China University of Political Science and Law, College Scientific Research Project of China University of Political Science and Law (Grant No. 17ZFG63001), NSF of China (Grant No. L1422009) and “Basic Tasks of Technical forecasting” commissioned by CASTED.
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This article has been retracted. Please see the retraction notice for more detail: https://doi.org/10.1007/s10586-022-03879-7
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Yu, M., Song, J. & Zhang, C. RETRACTED ARTICLE: Research on the system of smart city park based on cloud computing. Cluster Comput 22 (Suppl 4), 8279–8290 (2019). https://doi.org/10.1007/s10586-018-1741-y
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DOI: https://doi.org/10.1007/s10586-018-1741-y