Abstract
Personalized consumption demand and global challenges such as energy shortage and population aging require flexible, efficient, and green production paradigm. Smart factory aims to address these issues by coupling emerging information technologies and artificial intelligence with shop-floor resources to implement cyber-physical production system. In this paper, we propose a cloud based and big data centric framework for smart factory. The big data on cloud not only enables transparency to supervisory control but also coordinates self-organization process of manufacturing resources to achieve both high flexibility and efficiency. Moreover, we summarize eight typical system configurations according to three key parameters. These configurations can serve different purposes, facilitating system analysis and design.
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Acknowledgments
This work was supported in part by the National Key Technology R&D Program of China under Grant no. 2015BAF20B01, the Fundamental Research Funds for the Central Universities under Grant no. 2014ZM0014 and 2014ZM0017, he Science and Technology Planning Project of Guangdong Province under Grant no. 2013B011302016 and 2014A050503009, and Science and Technology Planning Project of Guangzhou City under Grant no. 201508030007.
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© 2016 ICST Institute for Computer Sciences, Social Informatics and Telecommunications Engineering
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Wang, S., Zhang, C., Li, D. (2016). A Big Data Centric Integrated Framework and Typical System Configurations for Smart Factory. In: Wan, J., Humar, I., Zhang, D. (eds) Industrial IoT Technologies and Applications. Industrial IoT 2016. Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, vol 173. Springer, Cham. https://doi.org/10.1007/978-3-319-44350-8_2
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DOI: https://doi.org/10.1007/978-3-319-44350-8_2
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