雍 熙 1，华 东 1，陈德清 1，宋子亨 2

　　(1.水利部信息中心，北京 100053;

　　2.阿里云计算有限公司，北京 100089)

　　摘 要：水库相关数据对多项水利业务应用支撑作用显著，是水利行业重要的基础数据。为避免重复建设，充分共享和挖掘水库基础数据的价值，以水库数据治理为研究对象，以数据仓库和中台为理论指导，融合水库基础、工程督查、水情等信息数据，构建以基础层、明细层、专题层为框架的数据资源体系，并同步开展数据生产、安全管理和数据服务工作。在统一的数据资源体系基础上，充分利用自然语言处理、语音识别、大数据分析等先进技术进行数据智能融合应用，完成水库标签画像、语音智能问答、数据标准建立、数据质量控制等成果，为今后进一步的水利数据治理工作提供参考经验。

　　关键词：数据治理;基础数据;水库;水利;数据质量;数据标准;数据服务;数据仓库

　　Research and practice of reservoir basic data management

　　YONG Xi 1，HUA Dong 1，CHEN Deqing 1，SONG Ziheng 2

　　(1.Information Centre，Ministry of Water Resources，Beijing 100053，China;

　　2.Alibaba Cloud Computing Co.，Ltd.，Beijing 100089，China)

　　Abstract：The reservoir-related data plays a significant supporting role in many water conservancy business applications and is fundamental for the water conservancy industry. In order to avoid repeated work, the reservoir basic data should be fully shared to maximize its value. This paper researches the data management of the reservoir, with the data warehouse and the data center as theoretical guidance. The information and data including the reservoirs, project supervision and hydrological conditionsare integrated, to build a data resource system with a framework of basic layer, detailed layer, thematic layer and application layer. Data assets, safety management and data services are carried out in parallel. On the basis of a uniformed data resource system, advanced technologies are fully applied, such as natural language processing, voice recognition and big data analysis, for intelligent data fusion application. Some achievements can be reached such as reservoir label portrait, intelligent question answering, data standard establishment and data quality control, which provides references for water conservancy data management in the future.

　　Key words：data management;basic data;reservoir;water conservancy;data quality;data standard;data service;data warehouse