DESIGN AND RESEARCH OF AUTOMATIC STATION BUFR DATA EMERGENCY BACKUP PLATFORM BASED ON HYBRID PROGRAMMING
Jie Fu (),
Hao Liu,
Peng Gao and
Juan Xu
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Jie Fu: Gansu Provincial Meteorological Information and Technical Support and Equipment Center, Lanzhou 730000, China
Hao Liu: Gansu Provincial Meteorological Information and Technical Support and Equipment Center, Lanzhou 730000, China
Peng Gao: Gansu Provincial Meteorological Information and Technical Support and Equipment Center, Lanzhou 730000, China
Juan Xu: Gansu Provincial Meteorological Information and Technical Support and Equipment Center, Lanzhou 730000, China
Acta Informatica Malaysia (AIM), 2023, vol. 7, issue 2, 101-104
Abstract:
Relying on the domestic meteorological transmission and communication system and NAS backup mechanism, based on the relevant standards and specifications of the meteorological big data cloud platform, in the case that the “Tianqing” interface cannot obtain data in a timely and effective manner, detailed requirements, detailed research, and clear implementation steps are made to provide users with reliable meteorological data services. Through the design and research of automatic station BUFR data rain express emergency backup system in this paper, the BUFR data for cell turn decoding, the specific factor value processing, can provide users with continuous data service, for business personnel in flood season normal work to provide basic support. The application shows that the sustainability of the data service is enhanced, and it provides a strong guarantee for the acquisition of rainfall elements in flood season.
Keywords: University library; discipline service; keyword mining; algorithm and technical; data preprocessing. (search for similar items in EconPapers)
Date: 2023
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Persistent link: https://EconPapers.repec.org/RePEc:zib:zbnaim:v:7:y:2023:i:2:p:101-104
DOI: 10.26480/aim.02.2023.101.104
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