计算机集成制造系统 ›› 2016, Vol. 22 ›› Issue (第9期): 2108-2117.DOI: 10.13196/j.cims.2016.09.007

• 产品创新开发技术 • 上一篇    下一篇

轻装配智能制造系统框架及管控模式

王磊1,2,刘强1   

  1. 1.广东工业大学广东省计算机集成制造重点实验室
    2.广东科贸职业学院信息工程系
  • 出版日期:2016-09-30 发布日期:2016-09-30
  • 基金资助:
    国家自然科学基金资助项目(61104156,51675108);国家科技支撑计划资助项目(2012BAF12B10);广东省产学研资助项目(2012B091100025);广东省应用型科技研发资助项目(2015B010128007);广东省科技计划资助项目(2016A010106006)。

Framework and control model of lightweight assembly intelligent manufacturing system

  • Online:2016-09-30 Published:2016-09-30
  • Supported by:
    Project supported by the Natural Science Foundation,China(No.61104156,51675108),the National Key Technologies R&D Program,China(No.2012BAF12B10),the Special Project on the Integration of Industry,Education and Research of Guangdong Province,China(No.2012B091100025),the Applied Technologies Research Program of Guangdong Province,China(No.2015B010128007),and the Science and Technology Planning Project of Guangdong Province,China(No.2016A010106006).

摘要: 为了给工业自动化和制造智能化提供解决方案,构建了一种物理信息融合系统和云制造技术的轻装配智能制造系统框架,描述了框架中各层次的功能和关系,并对物理信息系统、云制造和大数据的作用进行了分析。对轻装配智能制造系统中的制造资源、服务模式和运行体系进行了定义和描述,提出了智能管控的关键概念——优态,给出了5类智能管控方法。通过对中空玻璃生产线的智能管控问题和关键使能技术的分析,验证了所提架构和智能管控方法的有效性。

关键词: 云服务, 信息物理融合系统, 智能制造, 优态, 轻装配

Abstract: To provide a solution for industrial automation and manufacturing intelligence,the framework of Lightweigh Assembly Intelligent Manufacturing System(LAIMS) based on Cloud Manufacturing(CM) and Cyber-Physical Systems(CPS) was constructed,the function and relationship of every layer in this architecture were described,and the role of CPS,CM and big data were analyzed.Manufacturing resources,service models and operation system of LAIMS were defined and described,a key concept that was optimal state was pointed for intelligent control,and five intelligent control methods were given.Through analyzing intelligent control management and key enabling technologies of the automated intelligent hollow glass production line,the effectiveness of the proposed framework and its intelligent control methods were proved.

Key words: cloud service, cyber-physical systems, intelligent manufacturing, optimal state, lightweight assembly

中图分类号: