A Digital Twin-Based Heuristic Multi-Cooperation Scheduling Framework for Smart Manufacturing in IIoT Environment

被引:17
|
作者
Chen, Haotian [1 ]
Jeremiah, Sekione Reward [2 ]
Lee, Changhoon [1 ]
Park, Jong Hyuk [1 ]
机构
[1] Seoul Natl Univ Sci & Technol, Dept Comp Sci & Engn, Seoul 139743, South Korea
[2] Seoul Natl Univ Sci & Technol, Dept Elect & Informat Engn, Seoul 139743, South Korea
来源
APPLIED SCIENCES-BASEL | 2023年 / 13卷 / 03期
关键词
digital twins; blockchain; industrial internet of things; smart manufacturing; NETWORK SECURITY; IOT;
D O I
10.3390/app13031440
中图分类号
O6 [化学];
学科分类号
0703 ;
摘要
Intertwining smart manufacturing and the Internet of Things (IoT) is known as the Industrial Internet of Things (IIoT). IIoT improves product quality and reliability and requires intelligent connection, real-time data processing, collaborative monitoring, and automatic information processing. Recently, it has been increasingly deployed; however, multi-party collaborative information processing is often required in heterogeneous IIoT. The security and efficiency requirements of each party interacting with other partners have become a significant challenge in information security. This paper proposes an automated smart manufacturing framework based on Digital Twin (DT) and Blockchain. The data used in the DT are all from the cluster generated after blockchain authentication. The processed data in the DT will only be accessed and visualized in the cloud when necessary. Therefore, all the data transmitted in the process are result reports, avoiding the frequent transmission of sensitive data. Simulation results show that the proposed authentication mode takes less time than the standard protocol. In addition, our DT framework for a smart factory deploys the PDQN DRL model, proving to have higher accuracy, stability, and reliability.
引用
收藏
页数:19
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