氣象數據云數據存儲技術及應用
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廣東省自然科學基金(2015A030310293)、浙江省氣象局重點項目(2016ZD15,2015ZD06)資助


Exploration and Application of Meteorological Data Storage Method Based on Cloud Data Storage
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    摘要:

    針對氣象數據種類多、信息量大、精度高等特點,傳統的關系型數據庫系統在存儲處理、數據讀取等方面存在負載飽和、讀寫性能不理想等問題,利用云數據存儲技術,結合氣象數據特征,設計了基于云數據存儲平臺的氣象數據存儲和處理方法。通過分析氣象數據的結構化、半/非結構化特征,采用云關系型數據庫存儲結構氣象數據;采用NoSQL對象庫存儲半/非結構化氣象數據;在數據的存儲過程中,應用了氣象數據分塊壓縮技術,進行氣象數據存儲和傳輸。結果表明,所討論的方法具有很好的存儲傳輸效率,能夠滿足大規模氣象數據在業務應用中對存儲查詢和處理速度的要求。

    Abstract:

    According to the characteristics of various meteorological data types, large amount of information and high precision, the traditional relational database system has such problems as load saturation, unsatisfactory read and write performance and so on in storage processing and data reading. Based on the researches on cloud data storage technology and the characteristics of meteorological data, the meteorological data storage and processing method based on the cloud data storage platform is designed. Based on the structural and semi/unstructured characteristics of meteorological data, the structured meteorological data is stored in a cloud relational database. The NoSQL object database is used to store the semi/unstructured meteorological data. Moreover, the block compression technology is applied to meteorological data storage and transmission. The results show that the proposed method has good storage and transmission efficiency and can meet the requirements in storage query and processing speed of largescale meteorological data in the operational application.

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楊明,陳曄峰,陳晴,肖云,高祝宇,曾悠.氣象數據云數據存儲技術及應用[J].氣象科技,2017,45(6):1017~1021

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  • 收稿日期:2016-12-17
  • 定稿日期:2017-05-26
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  • 在線發布日期: 2017-12-28
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