Abstract
With the advent of the era of big data in our country, the methods of widespread dissemination and meteorological information services have become more convenient, and the forms of services have become more diversified. The meteorological department must closely follow the trend and direction of meteorological technology development in the current era. To change our thinking mode, to ensure that a good weather information mechanism can truly serve the public and meet people’s needs in real life, thereby promoting the long-term sustainable development of weather information services. Therefore, this article aims to study the design of meteorological information service system based on big data. Based on the analysis of system feasibility, system non-functional requirements and meteorological monitoring algorithms, the meteorological information service system is designed and implemented. Starting from the specific functional modules, the system is designed in detail, and the functions and effects are finally realized and the system is verified through testing. The test results show that the functional results of the weather information service system designed in this paper are normal, and the performance also meets the needs of the system.
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Acknowledgements
Fund project: Science and technology project of State Grid Zhejiang Electric Power Co., LTD. “Research on networked historical meteorological simulation and high-precision meteorological forecast technology for improving power dispatching Safety Production” (Project No.:5211JH180082).
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Cui, J., Li, Y., Huang, J., Li, Z. (2022). Design and Implementation of Meteorological Information Service System Based on Big Data. In: Macintyre, J., Zhao, J., Ma, X. (eds) The 2021 International Conference on Machine Learning and Big Data Analytics for IoT Security and Privacy. SPIoT 2021. Lecture Notes on Data Engineering and Communications Technologies, vol 97. Springer, Cham. https://doi.org/10.1007/978-3-030-89508-2_63
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DOI: https://doi.org/10.1007/978-3-030-89508-2_63
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