水利行业大数据汇集管理体系建设的思考

面向当前国内水利行业大数据建设,以提高数据管控效果、提升大数据价值为目标,思考提出一套水利大数据汇聚管控的顶层体系.研究提出不同管理权限水利数据节点之间的数据汇集管理结构,分析国家、流域、省、市和库站等不同管理类别和层级的数据汇集管理过程,梳理其中数据管理的主体与内容,并针对不同情境实现数据的直属、统筹及协商管理,在管...

Think of Building Big Data Aggregation and Management Structure in Water Conservancy

In order to improve the effect of data control and enhance the value of big data, this paper proposes a toplevel 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.