摘要
数据质量的高低直接影响数据的使用价值,因此阐述了电力物联网工业大数据的特点和数据质量评价的现状,分析了数据质量评价效率不高的原因,在总结传统数据质量评价经验的基础上,通过编写可自动识别数据质量问题的算法模型、开发数据质量智能评价系统的方式,提高数据质量评价效率。
The value of data quality directly affect the use of the data,this article elaborated the characteristics of large power iot industry data and data quality evaluation of the status quo,analysis the reasons of the data quality evaluation efficiency is not high,on the basis of sum up the experiences of traditional data quality evaluation,by writing can be automatic identification algorithm model of data quality problems,development of intelligent data quality evaluation system,improve the efficiency of data quality evaluation.
作者
张东东
郑波
吴月超
罗远林
邹雯
ZHANG Dong-dong;ZHENG Bo;WU Yue-chao;LUO Yuan-lin;ZOU Wen(China Power Construction Group EAST CHINA SURVEY DESIGN&Research Institute Co.,Ltd.,Hangzhou 311122,China)
出处
《通信电源技术》
2020年第4期46-47,共2页
Telecom Power Technology
关键词
电力物联网
工业大数据
数据质量评价模型
power internet of things
industrial big data
data quality evaluation model