智能制造背景下工业大数据的数据质量控制探讨

Discussion on the data quality control of industrial big data in the background of intelligent manufacturing

随着智能制造新时代的到来,工业大数据应用作为企业创新与变革的重要驱动力日益受到重视,然而及时、可靠、准确的高质量数据是工业大数据发挥效能的前提条件。首先梳理了工业大数据的基本特征及面临的数据质量问题,然后研究分析了工业大数据质量控制方法,最后对中国工业大数据质量控制的重点工作方向提出了初步建议。

With the advent of a new era of intelligent manufacturing,industrial big data applications are an important driving force for enterprise innovation and reform,and have paid more and more attention. The industrial big data need timely,reliable and accurate high-quality data to play a role. This paper analyzes the basic characteristics of industrial big data and the quality requirement of industrial data,presents the quality control methods of industrial big data,proposes preliminary recommendations on the key work direction of industrial big data quality control in China.