针对水利业务应用中的数据分布式异构问题,提出一种数据集中和映射相互结合的数据集成方案。该方案通过数据转换中间件在数据库之间的模式拷贝完成数据集中任务,而大批量低访问率数据则采用基于联邦数据库技术的数据映射方式来实现,进而依靠组件实现水利业务应用标准化和信息服务的集成,满足跨流域的水文资料共享和协作的需要。实验表明:该方法能够有效实施来自不同的数据源的集成任务,可为水情测报信息的存储、访问提供基础的数据平台。
In order to solve problem of distributed heterogeneous data in water business application, a data integration scheme which combines data mapping and data collection is proposed in this thesis. The scheme carries out data collection through pattern copy by data transformation middleware between databases, and integrates large quantities of low-rate data by data mapping technology based on federal database, then realizes water business applications standardization and water information service integration by adopting component conception, which meets the needs of cross-basin hydrological data sharing and collaboration. The results show that this method can effectively implement data integration of different data sources, and provide a basic data platform for hydrological information system.