智能制造背景下大数据分析技术及趋势研究

随着智能制造的兴起以及企业数字化改造带来的数据爆发式增长,大数据概念及其相关技术受到了国内外学者的广泛关注和重视。对大数据进行存储、挖掘,从海量数据中获取有用信息,助力企业生产作业中的客观规律分析进行辅助决策,成为大数据分析的重要应用场景。本文通过文献综述,从智能制造背景下大数据的发展历程、大数据特性以及大数据分析主要方向三方面对国内外大数据分析研究现状进行了总结,结合大数据分析架构对五项大数据关键技术展开分析,并对目前大数据领域所使用的分析工具进行了总结。最后,在分析了当前大数据分析在智能制造中应用存在的五点问题后,归纳了智能制造大数据分析的四大未来趋势。

With the explosive growth of data brought bythe rise of intelligent manufacturing and digital transformation of enterprises, the concept of big data and its related technologies have been paid more and more attention by scholars at home and abroad. It is an important application scene for big data analysis to store and mine big data, obtain useful information from massive data, and help enterprises to analyze objective laws in production and make decision-making. This paper summarizes the research status of big data analysis at home and abroad in the aspects of the development process, characteristics and main direction of big data analysis in the background of intelligent manufacturing. Then it analyzes five key technologies of big data combined with big data analysis architecture and summarizes the analysis tools used in the field of big data. Finally, after analyzing the five problems existing in the application of big data analysis in intelligent manufacturing, the paper summarizes the four future trends of big data analysis in intelligent manufacturing.