Institute of Industrial Engineering and Management, School of Mechanical Engineering, Shanghai Jiao Tong University, 800 Dongchuan Road, Minhang District, Shanghai 200240, China.
Sensors (Basel). 2020 Sep 17;20(18):5319. doi: 10.3390/s20185319.
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.
智能制造中社会化、个性化和服务化的趋势引起了研究人员、从业者和政府的关注。社会制造是一种应对这一趋势的新型制造模式。然而，当前的信息物理系统 (CPS) 仅融合了网络空间和物理空间；缺少社会空间。因此，需要基于信息物理社会系统 (CPSS) 的智能制造，将网络空间、物理空间和社会空间结合起来。随着物联网和社交网络的发展，产生了大量的数据。需要从数据驱动的角度来连接三空间。然而，在社会制造背景下，CPSS 和数据驱动视图的集成缺乏系统的研究。本文提出了一种在社会制造环境下，沿着数据-信息-知识-智慧 (DIKW) 金字塔的、具有七个层次的数据驱动 CPSS (D-CPSS) 框架。阐述了 D-CPSS 的演变、组成部分、通用模型和框架。提供了一个实例来说明所提出的框架。还详细讨论了实施的细节和未来展望。
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