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Design of Weather Monitoring and Forecasting System Based on Computer Distributed Network

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The 2021 International Conference on Smart Technologies and Systems for Internet of Things (STSIoT 2021)

Part of the book series: Lecture Notes on Data Engineering and Communications Technologies ((LNDECT,volume 122))

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Abstract

Meteorological monitoring and forecasting system is a new type of work equipment with real-time, high effectiveness, high degree of automation, convenient equipment maintenance, low economic cost, wide range of use, and long-term operation in harsh environments. Meteorological disaster monitoring and early warning systems have become an important part of modern meteorological services. Therefore, for the design of the weather monitoring and forecasting system, this article discusses from the distributed network. This article mainly uses experimental methods, data analysis methods and other methods to conduct an in-depth discussion on the research of system construction. Experimental results show that the system designed in this paper has a certain effect on weather monitoring and forecasting, and its accuracy can reach 98%.

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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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Correspondence to Jianye Cui .

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Cui, J., Huang, J., Li, Y., Zhu, Y. (2023). Design of Weather Monitoring and Forecasting System Based on Computer Distributed Network. In: Ahmad, I., Ye, J., Liu, W. (eds) The 2021 International Conference on Smart Technologies and Systems for Internet of Things. STSIoT 2021. Lecture Notes on Data Engineering and Communications Technologies, vol 122. Springer, Singapore. https://doi.org/10.1007/978-981-19-3632-6_23

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  • DOI: https://doi.org/10.1007/978-981-19-3632-6_23

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  • Publisher Name: Springer, Singapore

  • Print ISBN: 978-981-19-3631-9

  • Online ISBN: 978-981-19-3632-6

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