金沙江梯级水电站水沙数据组织与存储研究

Research on organization and storage of hydrologic and sediment data of cascade hydropower stations on Jinsha River

为了使金沙江梯级水电站安全高效运行,需要利用计算机数据库管理系统对海量的水文、泥沙、河道地形等数据进行科学组织与管理。在对水文泥沙数据构成进行分析的基础上,拟定了属性数据的分类管理方案,建立了数据字典和元数据表,实现了根据空间数据特点的分幅组织、分要素组织和混合组织等,并利用空间数据引擎实现了空间数据和属性数据的一体化存储管理。实践证明,所提出的方案和策略具有很好的实用性。

For guaranteeing safe and efficient operation of cascade hydropower stations on Jinsha River, massive data of hydrology, sediment, river channel topography etc. are needed to be organized and stored reasonably and scientifically. On the basis of hydrological and sediment data structure, the classification management scheme of attributive data is designed, the data dictionary and metadata table are established. The methodology realizes subdivision management, element management and co - management of spatial data according to their characteristics, further integrated management of spatial data and attributive data by spatial data engine.are accessible. The application practice shows that the suggested scheme and strategy has good applicability.