基于数据挖掘技术的电能质量在线监测系统设计研究  

Research on Design of Power Quality Online Monitoring System Based on Data Mining Technology

作　　者：钟云南 曾智 郑蔚涛 李霄铭 吴少平 ZHONG Yunnan;ZENG Zhi;ZHENG Weitao;LI Xiaoming;WU Shaoping(State Grid Fujian Electric Power Co.Ltd.,Fuzhou 350000,China;State Grid Sanming electric power Co.Ltd.,Sanming 365001,China;State Grid Fujian Electric Power and Information Co.Ltd.,Fuzhou 350000,China;State Grid Xintong Yili Technology Co.Ltd.,Fuzhou 350003,China)

机构地区：[1]国网福建省电力有限公司,福建福州350000 [2]国网福建省电力有限公司三明供电公司,福建三明365001 [3]国网福建省电力有限公司信息通信分公司,福建福州350000 [4]国网信通亿力科技有限责任公司,福建福州350003

出　　处：《微型电脑应用》2022年第5期92-95,99,共5页Microcomputer Applications

摘　　要：为了解决传统监测体系数据存储及数据处理分析能力不足的问题,设计了基于数据挖掘的数字化电能质量监测系统,采用Mongo DB+Redis构建大数据存储模型,采用MapReduce机制构建数据挖掘算法,来计算电能质量各项指标,最终实现监测数据展示、评估、预警、预测等应用功能。这个系统为解决大数据量级电能质量监测提供有效解决方案。In order to solve the problem of insufficient data storage and data processing and analysis capabilities of traditional monitoring systems,this paper designs a digital power quality monitoring system based on data mining,uses Mongo DB+Redis to build a big data storage model,and uses MapReduce to build a data mining algorithm.The power quality indicators are calculated to finally realize the application functions of monitoring data display,evaluation,early warning,prediction,etc.,and provide effective solutions for solving large-data-level power quality monitoring.

关 键 词：大数据 云计算 数据挖掘 分布式计算 电能质量监测 

分 类 号：TM711[电气工程—电力系统及自动化]