Understanding Data-Driven Cyber-Physical-Social System (D-CPSS) Using a 7C Framework in Social Manufacturing Context

被引:23
|
作者
Yin, Dao [1 ]
Ming, Xinguo [1 ]
Zhang, Xianyu [1 ]
机构
[1] Shanghai Jiao Tong Univ, Sch Mech Engn, Inst Ind Engn & Management, 800 Dongchuan Rd, Shanghai 200240, Peoples R China
基金
中国国家自然科学基金;
关键词
data-driven; cyber-physical-social system; social manufacturing; cyber-physical system; OF-THE-ART; PERSONALIZED PRODUCTION; SENSORS; NODES;
D O I
10.3390/s20185319
中图分类号
O65 [分析化学];
学科分类号
070302 ; 081704 ;
摘要
The trend towards socialization, personalization and servitization in smart manufacturing has attracted the attention of researchers, practitioners and governments. Social manufacturing is a novel manufacturing paradigm responding to this trend. However, the current cyber-physical system (CPS) merges only cyber and physical space; social space is missing. A cyber-physical-social system (CPSS)-based smart manufacturing is in demand, which incorporates cyber space, physical space and social space. With the development of the Internet of Things and social networks, a large volume of data is generated. A data-driven view is necessary to link tri-space. However, there is a lack of systematical investigation on the integration of CPSS and the data-driven view in the context of social manufacturing. This article proposes a seven-layered framework for a data-driven CPSS (D-CPSS) along the data-information-knowledge-wisdom (DIKW) pyramid under a social manufacturing environment. The evolution, components, general model and framework of D-CPSS are illustrated. An illustrative example is provided to explain the proposed framework. Detailed discussion and future perspectives on implementation are also presented.
引用
收藏
页码:1 / 19
页数:19
相关论文
共 1 条
  • [1] Towards a Personalisation Framework for Cyber-Physical-Social System (CPSS)
    Yilma, Bereket Abera
    Naudet, Yannick
    Panetto, Herve
    IFAC PAPERSONLINE, 2021, 54 (01): : 243 - 248