摘要
对实时数据库中历史数据进行高效分析处理是火电厂数据管理工作中的难点。为了实现对大规模历史数据进行统计分析,同时又不降低实际监控信息系统对实时数据库的访问性能,减少网络传输时延,从系统架构、远程数据访问机制、数据分析处理方法上入手,设计并实现了异步增量的实时数据库历史数据分析处理系统,经实际部署与系统测试表明,该系统有效的减少了数据统计分析计算的时间。
Efficient data analysis and processing technology about historical data in real-time database is a difficulty to data management work of thermal power plant.In order to reduce network transmission delay,and not to affect the performance of supervisory information system accessing real-time database in analysising and processing the massive historical data,a real- time database historical data analysis and processing system basing on asynchronous and incremental method is proposed from the system architecture, remote data access mechanism and data processing method.Through the actual deployment and system testing,the results show that the system effectively reduces the time of data statistical analysis and calculation.
出处
《电子设计工程》
2013年第1期135-137,共3页
Electronic Design Engineering
关键词
实时数据库
历史数据
异步增量
分析处理
real-time database
historical data
asynchronous and incremental
analysis and processing
