A Digital Twin-Based Heuristic Multi-Cooperation Scheduling Framework for Smart Manufacturing in IIoT Environment
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. Recent...
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Format: | Article |
Language: | English |
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MDPI AG
2023-01-01
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Series: | Applied Sciences |
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Online Access: | https://www.mdpi.com/2076-3417/13/3/1440 |
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author | Haotian Chen Sekione Reward Jeremiah Changhoon Lee Jong Hyuk Park |
author_facet | Haotian Chen Sekione Reward Jeremiah Changhoon Lee Jong Hyuk Park |
author_sort | Haotian Chen |
collection | DOAJ |
description | 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. |
first_indexed | 2024-03-11T09:52:51Z |
format | Article |
id | doaj.art-3f58a8348cc64e1fbf821537c469183f |
institution | Directory Open Access Journal |
issn | 2076-3417 |
language | English |
last_indexed | 2024-03-11T09:52:51Z |
publishDate | 2023-01-01 |
publisher | MDPI AG |
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series | Applied Sciences |
spelling | doaj.art-3f58a8348cc64e1fbf821537c469183f2023-11-16T16:05:29ZengMDPI AGApplied Sciences2076-34172023-01-01133144010.3390/app13031440A Digital Twin-Based Heuristic Multi-Cooperation Scheduling Framework for Smart Manufacturing in IIoT EnvironmentHaotian Chen0Sekione Reward Jeremiah1Changhoon Lee2Jong Hyuk Park3Department of Computer Science and Engineering, Seoul National University of Science and Technology, Seoul 139-743, Republic of KoreaDepartment of Electrical and Information Engineering, Seoul National University of Science and Technology, Seoul 139-743, Republic of KoreaDepartment of Computer Science and Engineering, Seoul National University of Science and Technology, Seoul 139-743, Republic of KoreaDepartment of Computer Science and Engineering, Seoul National University of Science and Technology, Seoul 139-743, Republic of KoreaIntertwining 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.https://www.mdpi.com/2076-3417/13/3/1440digital twinsblockchainindustrial internet of thingssmart manufacturing |
spellingShingle | Haotian Chen Sekione Reward Jeremiah Changhoon Lee Jong Hyuk Park A Digital Twin-Based Heuristic Multi-Cooperation Scheduling Framework for Smart Manufacturing in IIoT Environment Applied Sciences digital twins blockchain industrial internet of things smart manufacturing |
title | A Digital Twin-Based Heuristic Multi-Cooperation Scheduling Framework for Smart Manufacturing in IIoT Environment |
title_full | A Digital Twin-Based Heuristic Multi-Cooperation Scheduling Framework for Smart Manufacturing in IIoT Environment |
title_fullStr | A Digital Twin-Based Heuristic Multi-Cooperation Scheduling Framework for Smart Manufacturing in IIoT Environment |
title_full_unstemmed | A Digital Twin-Based Heuristic Multi-Cooperation Scheduling Framework for Smart Manufacturing in IIoT Environment |
title_short | A Digital Twin-Based Heuristic Multi-Cooperation Scheduling Framework for Smart Manufacturing in IIoT Environment |
title_sort | digital twin based heuristic multi cooperation scheduling framework for smart manufacturing in iiot environment |
topic | digital twins blockchain industrial internet of things smart manufacturing |
url | https://www.mdpi.com/2076-3417/13/3/1440 |
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