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There were a large number of Internet of Things devices in the smart factory, and the devices interacted with each other to realize real-time interaction of information and instructions through the Industrial Internet of Things. The massive data were generated by Internet of Things devices and uploaded to the servers, resulting in excessive pressure on the central server, time-consuming data processing, and security risks in communication between devices. A production scheduling model of manufacturing execution systems based on the master-slave chain and edge computing was proposed. Firstly, the design of a master-slave chain architecture model that could modularize and integrate manufacturing execution systems into edge nodes to reduce redundant data transfers, and decrease the risk of leakage. Secondly, a smart contract access control strategy based on an attribute base was designed to achieve secure communication between devices and nodes. Finally, production scheduling algorithms were designed to accomplish cross-node and cross-workshop scheduling tasks, and a decentralised production scheduling approach was implemented. Experimental results demonstrated that data security was ensured and response speed was improved, compared with that in traditional industrial manufacturing systems.
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Basic Information:
DOI：10.13705/j.issn.1671-6841.2022101
China Classification Code:TP311.13;TN929.5
Citation Information:
[1]LIU Wei,XIA Yujie,JIA Jun ,et al.MES Production Scheduling Model Based on Master-Slave Chain and Edge Computing[J].Journal of Zhengzhou University(Natural Science Edition),2023,55(03):14-21.DOI:10.13705/j.issn.1671-6841.2022101.
Fund Information:
国家自然科学基金项目(62176239); 河南省重点研发与推广专项(212102310039,212102310554); 河南省高校科技创新人才支持计划(21HASTIT031); 河南省重大公益专项(201300210300); 河南省高等学校青年骨干教师培养计划项目(2019GGJS018); 郑州大学教育教学改革研究与实践项目(2021ZZUJGLX168)
2022-07-05
2022-07-05
2022-07-05