计算机集成制造系统 ›› 2019, Vol. 25 ›› Issue (第2): 284-302.DOI: 10.13196/j.cims.2019.02.003

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离散车间制造物联网及其关键技术研究与应用综述

黄少华,郭宇,查珊珊,方伟光,王发麟   

  1. 南京航空航天大学机电学院
  • 出版日期:2019-02-28 发布日期:2019-02-28
  • 基金资助:
    国家自然科学基金资助项目(51575274);国防基础科研重点资助项目(JCKY2016203B083)。

Review on Internet-of-manufacturing-things and key technologies for discrete workshop

  • Online:2019-02-28 Published:2019-02-28
  • Supported by:
    roject supported by the National Natural Science Foundation,China (No.51575274),and the National Defense Basic Scientific Research Fund,China(No.JCKY2016203B083).

摘要: 物联网在制造领域的深度渗透和落地应用催生了一种以“物物互联、泛在感知”为特征的新型制造技术—制造物联网。在解析制造物联网基本概念、特征和应用需求的基础上,以多源制造数据的感知、传输、分析和应用为主线,阐述了面向离散车间的制造物联网关键技术;通过分析国内外制造物联网技术的相关应用研究文献,分别从车间制造资源管理、生产过程调控、车间物流优化、质量监控与追溯、智能服务与保障5方面,总结了制造物联网在离散车间的应用模式;基于制造物联网核心技术的应用和发展需求,以及与云制造、大数据、信息物理系统的紧密关联,探讨了智能制造背景下制造物联网的未来发展趋势。

关键词: 离散车间, 制造物联网, 多源制造数据, 信息物理系统, 智能制造

Abstract: The deep penetration and extensive applications of Internet of Things (IoT) in the manufacturing field have spawned a new manufacturing technology—Internet of Manufacturing Things (IoMT),which is characterized by “ubiquitous interconnection and perception”.Based on analyzing the concept,characteristics and application requirements of IoMT,the key technologies of IoMT were expounded by taking the perception,transmission,analysis and application of Multisource manufacturing data as a main line.Through combing the analysis of recent IoMT research and application literature,the application mode of assembly technology in discrete workshop was summarized from five aspects: workshop manufacturing resource management,production process scheduling and control,workshop logistics optimization,production quality monitoring and traceability,and intelligent service and support.With the application and development requirements of IoMT core technologies,the future development trend of IoMT under the background of intelligent manufacturing was discussed based on the combination of IoMT and cloud manufacturing,big data,and Cyber Physical System (CPS).

Key words: discrete workshop, Internet of manufacturing things, multisource manufacturing data, cyber physical system, intelligent manufacturing

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