摘要
制造大数据是业界大数据的重要类型之一,对其内涵可以从理论、技术和实践角度进行理解。为了科学有效地采集、整理、存储、分析、挖掘与利用制造大数据,必须建立完善的大数据技术系统。促进大数据驱动智能制造的对策包括:实施国家制造大数据战略、建立健全制造大数据标准、夯实制造大数据的应用基础、加强对制造大数据的开发利用等。
Big data for manufacturing,as one of the important types of big data in the industry,can be understood from the perspectives of theory,technology and practice.A perfect big data technology system must be established,so as to scientifically and effectively collect,sort out,store,analyze,mine and utilize big data for manufacturing.The countermeasures to promote big data-driven intelligent manufacturing include:implementing the national strategy,establishing and perfecting the standards,consolidating the application foundation,and strengthening the development and utilization of big data for manufacturing,etc.
作者
秦歌
Qin Ge(School of Mechanical and Electrical Engineering,Wenzhou University Oujiang College,Wenzhou Zhejiang 325035)
出处
《山西冶金》
CAS
2020年第5期69-72,共4页
Shanxi Metallurgy
关键词
智能制造
大数据
大数据平台
intelligent manufacturing
big data
big data platform