周 超，唐海華，羅 斌，李 琪

(長江勘測規劃設計研究有限責任公司，湖北 武漢 430010)

　　摘要：面向當前國內水利行業大數據建設，以提高數據管控效果、提升大數據價值為目標，思考提出一套水利大數據匯聚管控的頂層體系。首先，研究提出不同管理權限水利數據節點之間的數據匯集管理結構，分析國家、流域、省、市和庫站等不同管理類別和層級的數據匯集管理過程，梳理其中數據管理的主體與內容，并針對不同情境實現數據的直屬、統籌及協商管理，在管理過程中實現權限分配及運行監督;進一步，針對單個節點的內部數據管控，研究設計基于水利業務分類的管理體系，實現按基礎對象數據關聯專業業務數據的管理過程;最后結合實際場景案例說明并分析具體的運行方式。通過該數據匯集管理體系的研究，為水利大數據進一步建設的實際工作開展提供理論參考。

　　關鍵詞：水利大數據;數據匯集;數據管理;智慧水利;水利信息化

　　Consideration on construction of big data aggregation management system in water conservancy industry

　　ZHOU chao, TANG haihua, LUO bin, LI qi

　　(Changjiang Institute of Survey,Planning, Design & Research Co., Ltd., Wuhan 430010, China)

　　Abstract： In order to improve the effect of data control and enhance the value of big data, this paper proposes a top-level system of water conservancy big data aggregation and control for the current thinking of big data construction in domestic water conservancy industry. Firstly, the paper puts forward the data collection management structure among water conservancy data nodes with different management authority, analyzes the data collection management process of different management categories and levels, such as national, river basin, provincial, municipal and database station, and sorts out the subject and content of data management. Meanwhile, direct management, overall management and negotiation management of data are realized in different situations, and authority distribution and operation supervision are realized in the management process. Further, a management system based on water conservancy business classification is designed to realize the management process of associating professional business data according to the basic object data for the internal data control of a single node. Finally, the specific operation mode combined with the actual scene case is explained and analyzed. Through the study of the data aggregation management system, this work provides a theoretical reference for the further construction of water conservancy big data.

　　Keywords: water conservancy big data, data aggregation, data management, intelligent water conservancy, water conservancy informatization