首页 | 本学科首页   官方微博 | 高级检索  
     

电力系统动态信息数据库关键技术
引用本文:黄海峰,张珂珩,张鸿,季学纯,陈鹏.电力系统动态信息数据库关键技术[J].计算机应用,2011,31(6):1681-1684.
作者姓名:黄海峰  张珂珩  张鸿  季学纯  陈鹏
作者单位:1. 国网电力科学研究院 国电南瑞科技股份有限公司, 南京 2100612. 国网电力科学研究院 江苏瑞中数据股份有限公司,南京 210003
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
收稿时间:2010-11-16
修稿时间:2011-01-17

Key technologies of dynamic information database for power systems
HUANG Hai-feng,ZHANG Ke-heng,ZHANG Hong,JI Xue-chun,CHEN Peng.Key technologies of dynamic information database for power systems[J].journal of Computer Applications,2011,31(6):1681-1684.
Authors:HUANG Hai-feng  ZHANG Ke-heng  ZHANG Hong  JI Xue-chun  CHEN Peng
Affiliation:1. NARI Technology Development Company Limited, Power Grid Automation Research Institute, Nanjing Jiangsu 210061, China2. China Realtime Database Company Limited, Power Grid Automation Research Institute, Nanjing Jiangsu 210003, China
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.
Keywords:dynamitic information database                                                                                                                          real-time data management                                                                                                                          concurrency data processing                                                                                                                          mass data                                                                                                                          power system
本文献已被 CNKI 万方数据 等数据库收录!
点击此处可从《计算机应用》浏览原始摘要信息
点击此处可从《计算机应用》下载全文
设为首页 | 免责声明 | 关于勤云 | 加入收藏

Copyright©北京勤云科技发展有限公司  京ICP备09084417号