Study on the Construction of Big Data and Valorization Services of Intelligent Water

Data resources are the basis and guarantee for carrying out various operations of intelligent water conservancy, but there are many kinds of data in water conservancy industry, and the integration of resources is difficult. In view of the complexity of water resources data, business application needs, the existing data center data resources and the information data of the new acquisition network for data processing, the use of data extraction, data conversion, data replication, data sharing, data integration and other technologies to achieve multi-source information fusion of water resources. By using component technology to develop data fusion components, and by integrating local data sources, heterogeneous data sources, distributed heterogeneous data sources, component libraries and user relationships, this paper proposes a service-oriented componentized big data construction model to provide water resources data value services for the water industry.