氣象管理數據中心設計與實現
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中國氣象局小型業務項目氣象政務信息系統整合共享建設(中氣函〔2018〕261號)、氣象科學決策支撐應用集約化建設項目(中氣函〔2021〕6號)、國家氣象信息中心氣象政務服務與數字技術融合創新團隊、信息網絡安全與“信創”技術研發創新團隊(NMIC-202011-05)資助


Design and Implementation of Meteorological Government Administration Data Center
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    摘要:

    為滿足氣象部門政務數據高效管理和共享應用需求,推動氣象政務數據融入國家政務大數據體系,中國氣象局依托國家級氣象專有云設計、建設了氣象部門首個一級集中、四級應用的集約統一的政務數據中心,直接支撐氣象政務和業務應用。本文介紹了該數據中心系統的核心架構設計、主要業務功能、關鍵信息流程、基于氣象政務數據特征的數據分類和分層數據體系、關鍵實現技術、應用成效等。系統的實現采用了一系列的新興信息技術,包括支持多源異構的數據匯聚、基于策略的數據清洗和整合治理、全局統一的數據服務和接口管理、基于ElasticSearch引擎的全文檢索、基于消息驅動的管理應用協同、主備中心數據同步等。作為氣象部門政務管理數字化轉型升級的數字底座,系統建成后為國省市縣四級氣象部門提供了一站式的政務數據管理和共享應用服務,在有力支撐中國氣象局行政辦公、科學決策和履行公共職能中發揮了良好效益。

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    In order to meet the requirements of meteorological departments for efficient management and sharing of meteorological government administration data, solve the problems of difficult communication, sharing and collaboration of data, and promote the integration of meteorological government administration data into the national integrated government big data system, China Meteorological Administration designs and builds the meteorological department’s first centralised and unified government administration data centre, which is “one level of concentration and four levels of application,” relying on the national-level meteorological proprietary cloud platform, and directly supporting meteorological government administration and business applications. This article analyses the current status, existing problems and construction needs of meteorological department government administration data, introduces the core architecture design, main business functions, the key information flow, the government administration data classification and hierarchical data system based on the characteristics of meteorological government administration data, key implementation technologies, and application effectiveness of the system. The implementation of the system adopts a series of advanced information technologies, including support for multi-source heterogeneous data aggregation, policy-based data cleansing and integration governance, globally unified data service and interface management, full-text search based on the open-source ElasticSearch engine, message-driven management application collaboration, data synchronisation in the master and standby centres, etc. The system started construction in 2019, and after more than two years of research and development, it completes the development of system software functions, establishes a data collection, data storage and data update mechanism, provides unified data sharing services, and continues to carry out the aggregation and governance of government administration data resources. It builds data applications such as office management, forecasting, human resources management, technology management, forecaster team portraits, full-text retrieval, business collaboration, comprehensive management decision-making analysis, etc. As the system is put into business applications, government administration data of the meteorological department are standardised, managed and effectively utilised, establishing a data resource directory of 12 first-level categories, 72 second-level categories, and 357 types of government administration data, completing the collection and storage of 237 types of data, releasing a total of 30 data interfaces in 20 categories, implementing 72 types of government administration data sharing applications within the meteorological department. Master data such as personnel, institutions, administrative divisions, seasonal holidays, and public roles provide real-time data services for more than 200 applications of the meteorological department. As a digital base for the digital transformation and upgrading of government administration of the meteorological department, the system provides “one-stop” government data management and sharing application services for the four-level meteorological departments at the national, provincial, city and county levels after its completion, and plays an essential role in effectively supporting China Meteorological Administration’s office management, scientific decision-making and performing public functions.

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趙希鵬,趙芳,王甫棣,王帥.氣象管理數據中心設計與實現[J].氣象科技,2024,52(4):508~518

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  • 收稿日期:2023-10-08
  • 定稿日期:2024-03-28
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  • 在線發布日期: 2024-08-28
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