电力系统及其自动化学报2017，Vol.29Issue(9)：93-97,5.DOI:10.3969/j.issn.1003-8930.2017.09.016
MongoDB索引的用电信息非结构化数据存储方法
Unstructured Data Storage Method for Electricity Information Based on MongoDB Index
徐英辉 1祝恩国 1赵睿 2杨挺2
作者信息
- 1. 中国电力科学研究院,北京 100192
- 2. 天津大学智能电网教育部重点实验室,天津 300072
- 折叠
摘要
Abstract
With the improvement of electricity information acquisition system and the increase of two-way interactive de?mand,the electricity information develops from structured data into a mix of structured and unstructured data with an in?creasing data volume. In this paper,the unstructured data in electricity information acquisition system are studied. From the viewpoint of data source,the data can be classified into electricity consumption data and customer data. The charac?teristics of unstructured data of five user types(A,B,C,D and E)are analyzed with respect to the classification. By us?ing MongoDB to index the Hadoop distributed file system(HDFS),a new unstructured data storage method is proposed, which achieves classified storage as well as accurate reading and writing for the mixed unstructured data of the electrici?ty information acquisition system. The proposed method can provide basic support for the two-way interactive functions satisfactorily.关键词
非结构化数据/用电信息数据/Hadoop分布式文件系统/MongoDBKey words
unstructured data/electricity information data/Hadoop distributed file system(HDFS)/MongoDB分类
信息技术与安全科学引用本文复制引用
徐英辉,祝恩国,赵睿,杨挺..MongoDB索引的用电信息非结构化数据存储方法[J].电力系统及其自动化学报,2017,29(9):93-97,5.
