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

Autor: Xinguo Ming, Dao Yin, Xianyu Zhang
Rok vydání: 2020
Předmět:
Zdroj: Sensors (Basel, Switzerland)
Sensors
Volume 20
Issue 18
Sensors, Vol 20, Iss 5319, p 5319 (2020)
ISSN: 1424-8220
Popis: 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&ndash
physical system (CPS) merges only cyber and physical space
social space is missing. A cyber&ndash
physical&ndash
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&ndash
information&ndash
knowledge&ndash
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.
Databáze: OpenAIRE