Abstract: Based on a comprehensive literature review of the smart factory,its nature composed of internet of things,intelligent manufacturing execution system and manufacturing collaboration was discussed,and its big data characteristics were also analyzed.The technical framework contained the physical interconnection layer,the object sensing layer,the data analysis layer,the business application layer and the cloud service layer was proposed.The content of critical big-data-based manufacturing optimization technology for three middle layers was elaborated,which involved the big data integration method,the big data storage method,the correlation analysis method and the correlation description method.The big-data-based technical system would provide important referential value for manufacturing industry to realize the smart factory.

Key words: smart factory, big data, technical framework

摘要： 为了在分析智慧工厂国内外研究现状的基础上,对制造业如何利用物联网、云计算、大数据等新兴技术实现智慧工厂展开研究,为智慧工厂的实施过程提供参考框架,探讨了集成制造物联、智能制造执行与制造协同的智慧工厂内涵,以及智慧工厂具备的大数据特征。提出由物物互联层、对象感知层、数据分析层、业务应用层和云端服务层五个层次和一个大数据中心构成的智慧工厂技术体系架构。特别针对大数据驱动的制造过程动态优化关键技术,探讨了其中涉及的大数据集成、大数据存储、相关性分析和相关性描述等大数据分析方法。所提智慧工厂技术体系与所展开的智慧工厂大数据技术讨论,将对制造业实现智慧工厂具有重要的借鉴价值。

关键词: 智慧工厂, 大数据, 技术框架