Redis内存数据库在长江上游水资源管理决策支持系统中的应用研究

Application of Redis Memory Database in the Water Resource Management Decision Support System of the Upper Yangtze River

随着流域巨型水库群的建成投运和流域水文监测站网体系的逐步完善,水资源时空数据日趋庞大,导致已有水资源管理决策支持系统服务器压力剧增、响应速度降低、易崩溃等问题的发生。为此,研究引入开源的Key-Value模型内存数据库Redis,设计了一种快速高效的数据交互框架,避免频繁的磁盘I/O操作,实现系统响应速度的数量级提升。研究成果集成在长江三峡梯调中心金沙江下游~三峡决策支持系统中,应用效果表明,设计的数据交互框架能够显著提升系统响应速度,保障系统的可用性和稳定性。

With the completion and commissioning of river basin giant reservoir group and the gradual improvement of river basin hydrological monitoring station network system,the spatio-temporal data of water resources has become increasingly large,which results sharp pressure increase,slow response speed and easy collapse of the server of existing water resources management decision support system.To this end,the study introduces the open source Key-Value model memory database Redis,and designs a fast and efficient data interaction framework to avoid frequent disk I/O operations to achieve an order of magnitude improvement in system response speed.The research results are integrated in the Lower Jinsha River-Three Gorges Decision Support System in the Yangtze Three Gorges Project Center.The application effect shows that the designed data interaction framework can significantly improve the response speed of system and ensure the availability and stability of system.