Research Article
A Big Data Centric Integrated Framework and Typical System Configurations for Smart Factory
@INPROCEEDINGS{10.1007/978-3-319-44350-8_2, author={Shiyong Wang and Chunhua Zhang and Di Li}, title={A Big Data Centric Integrated Framework and Typical System Configurations for Smart Factory}, proceedings={Industrial IoT Technologies and Applications. International Conference, Industrial IoT 2016, GuangZhou, China, March 25-26, 2016, Revised Selected Papers}, proceedings_a={INDUSTRIALIOT}, year={2016}, month={9}, keywords={Smart factory Smart production Smart product Industry 4.0 Industrial internet}, doi={10.1007/978-3-319-44350-8_2} }- Shiyong Wang
Chunhua Zhang
Di Li
Year: 2016
A Big Data Centric Integrated Framework and Typical System Configurations for Smart Factory
INDUSTRIALIOT
Springer
DOI: 10.1007/978-3-319-44350-8_2
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.
