Abstract: In the paper, on the basis of analyzing the structure of dynamic information database, and in combination with the feature of the power system, the key technologies of concurrency data processing, memory-mapped file, disk cache management mechanism and associated data storage were discussed, and the data sampling flow and hybrid compression algorithm were also introduced in detail. The application case in the automatic system of power grid dispatching was introduced and the result proves that the dynamic information database can meet the performance requirement of high-speed data processing.

Key words: dynamitic information database, real-time data management, concurrency data processing, mass data, power system

摘要： 在介绍了基于时间序列的动态信息数据库结构的基础上，结合电力系统数据特点，分析了并发数据处理、内存映射文件、磁盘缓存、关联数据存储等构建动态信息数据库的关键技术，并着重研究了数据采集流程和混合压缩算法。经实际应用案例表明，采用该关键技术构建的动态信息数据库满足了电力系统海量数据高速存储的要求。

关键词: 动态信息数据库, 实时数据处理, 并发数据处理, 海量数据, 电力系统