摘要
分析了风电监控系统对海量数据的存储和访问需求,提出了引入时序数据库技术来解决传统数据库在处理海量数据时碰到的存储容量和访问效率方面的问题。所采用的时序数据库和关系数据库相结合的解决方案,在满足海量数据存储和访问需求的同时,很好地解决了数据模型的描述和存储问题。介绍了基于时序数据库开发的一些风电高级应用。
The requirements of massive data storage and access for wind power monitoring system are analyzed,and the technology of time-sequential database to solve the issues like massive data storage capacity and access efficiency which the traditional database encounters is introduced.Using the combination of time-sequential database and relational database,a good solution to the description and storage of the data model is proposed and at the same time this solution meets the massive data storage and access requirements.
出处
《计算机时代》
2012年第8期34-36,共3页
Computer Era
关键词
时序数据库
风电监控
海量存储
趋势曲线
风机故障反演
电能质量监测
time-sequential database
wind power monitoring
massive storage
trend curve
inversion of wind turbine fault
power quality monitoring
