Journal
IEEE ACCESS
Volume 7, Issue -, Pages 86769-86777Publisher
IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
DOI: 10.1109/ACCESS.2019.2923610
Keywords
Cloud computing; digital twin; edge computing; fog computing; hierarchical architecture; smart manufacturing
Categories
Funding
- National Natural Science Foundation of China [51875030]
- National Key Research and Development Program of China [2016YFB1101700]
- Beijing Science and Technology Project [Z181100003118001]
- Academic Excellence Foundation of BUAA
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The state-of-the-art technologies in new generation information technologies (New IT) greatly stimulate the development of smart manufacturing. In a smart manufacturing environment, more and more devices would be connected to the Internet so that a large volume of data can be obtained during all phases of the product lifecycle. Cloud-based smart manufacturing paradigm facilitates a new variety of applications and services to analyze a large volume of data and enable large-scale manufacturing collaboration. However, different factors, such as the network unavailability, overfull bandwidth, and latency time, restrict its availability for high-speed and low-latency real-time applications. Fog computing and edge computing extended the compute, storage, and networking capabilities of the cloud to the edge, which will respond to the above-mentioned issues. Based on cloud computing, fog computing, and edge computing, in this paper, a hierarchy reference architecture is introduced for smart manufacturing. The architecture is expected to be applied in the digital twin shop floor, which opens a bright perspective of new applications within the field of manufacturing.
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