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电能质量在线监测系统海量数据的双列族存储设计

屈志坚 袁慎高 范明明

电力系统保护与控制2019,Vol.47Issue(2):154-160,7.
电力系统保护与控制2019,Vol.47Issue(2):154-160,7.DOI:10.7667/PSPC180143

电能质量在线监测系统海量数据的双列族存储设计

Double column family storage design for massive data of power quality online monitoring system

屈志坚 1袁慎高 1范明明1

作者信息

  • 1. 华东交通大学电气与自动化工程学院,江西 南昌 330013
  • 折叠

摘要

Abstract

Aiming at the problem of massively storing massive monitoring data of mass power quality, a new database design method based on HBase for dual-column power quality monitoring system is proposed. It finds and designs the optimal power quality online monitoring data storage structure by applying column family storage architecture of the HBase to the efficient storage of complex power quality online monitoring data and then building storage optimization functions. Finally, the reading and writing time of several different column families are compared. Experiments show that the proposed double-column family of power quality monitoring data storage design method can store massive power quality monitoring data efficiently and has good feasibility.

关键词

海量数据/电能质量/列族/HBase/存储结构

Key words

massive data/power quality/column family/Hbase/storage structure

引用本文复制引用

屈志坚,袁慎高,范明明..电能质量在线监测系统海量数据的双列族存储设计[J].电力系统保护与控制,2019,47(2):154-160,7.

基金项目

国家自然科学基金项目资助(51567008,51867009) (51567008,51867009)

江西省杰出青年人才计划项目资助(20162BCB23045) (20162BCB23045)

江西省自然科学基金项目资助(20171BAB206044) (20171BAB206044)

江西省科技厅应用培育计划项目资助(GJJ160471). (GJJ160471)

电力系统保护与控制

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