期刊
IEEE INTERNET OF THINGS JOURNAL
卷 7, 期 5, 页码 4248-4259出版社
IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
DOI: 10.1109/JIOT.2019.2950048
关键词
Cloud computing; Computer architecture; Task analysis; Manufacturing systems; Hardware; Edge computing; intelligent manufacturing; multiagent system (MAS)
资金
- National Key Research and Development Program of China [2018YFB1700500]
- National Natural Science Foundation of China [51605168]
- Science and Technology Planning Project of Guangdong Province [2017B090913002, 2017B090914002]
- Major Science and Technology Project of Dongguan City [2018215102006]
- Science and Technology Program of Guangzhou, China [201802030005]
- King Saud University [RG-1435-051]
- Smart Manufacturing Project of Integrated Standardization and New Application Model
The development of Industry 4.0 has provided the possibility to meet frequent changes in product type and batches, a sharp decline in the delivery cycle, constraints of quality cost, and other relevant parameters of customized production mode. Intelligent manufacturing, as a core of Industry 4.0, represents a deep integration of new IT technologies, such as the industrial Internet of Things and service-oriented architecture, and manufacturing process. To realize intelligent manufacturing, this article introduces a cloud-assisted and edge-decision-making manufacturing architecture that contains a cloud and production edges. An intelligent production edge is designed to provide the traditional devices the abilities of data access and self-decision making. Besides, the proposed architecture is modeled as a multiagent system with the edge intelligence support, describing the agent-based reconfiguration mechanism from the three aspects, namely, agent interaction, agent behavior, and negotiation mechanism. The experimental results show that the reconfigurable method based on the proposed architecture can be used in the mixed-flow production scenario based on random orders, to improve the adaptability and robustness.
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