工业时序大数据质量管理

doi:10.11959/j.issn.2096-0271.2019047

Abstract

Abstract:

Industrial big data has become an important strategic resource for the transformation and upgrading of China’s manufacturing industry,and industrial big data analysis is attracting more and more attention.As an important data form of industrial big data,time series have a lot of quality problems,which is necessary to be detected and handled effectively by designing data cleaning methods.The characteristics of industrial time series big data and the difficulties of industrial data quality management were introduced.Then,the recent developments in the area of that was analyzed and summarized.At last,the quality management method of temporal big data and the improvement direction of system performance were put forward.

Key words: data quality management, time series data, industrial big data analysis, data cleaning

CLC Number:

TP311

Xiaoou DING, Hongzhi WANG, Shengjian YU. Data quality management of industrial temporal big data[J]. Big Data Research, 2019, 5(6): 19-29.

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