基于MongoDB的海量电能质量数据存储方案设计与实现  

Design and Implementation of Massive Power Quality Data Storage Scheme Based on MongoDB

作　　者：张明[1] 罗云峰[1] 

机构地区：[1]华中科技大学自动化学院,湖北武汉430074

出　　处：《常州工学院学报》2015年第3期23-26,96,共5页Journal of Changzhou Institute of Technology

摘　　要：在研究非关系型数据库Mongo DB的基础上,设计实现了基于Mongo DB的海量电能质量数据存储方案,并与基于关系型数据库的存储方案进行了性能比较测试。测试结果表明:该存储方案具有更好的数据存储和查询性能,可为海量电能质量数据的存储与处理提供借鉴。Based on a study of the NoSQL database MongoDB, this paper designed and implemented a massive power quality data storage scheme, and compared its performance with relational database-based storage scheme. The results show that the proposed storage scheme has better data storage and query perform- ance, which can provide reference for massive power quality data storage and processing.

关 键 词：电能质量 海量数据 MONGODB 数据存储方案 

分 类 号：TP392[自动化与计算机技术—计算机应用技术]