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JACIII Vol.27 No.4 pp. 638-644
doi: 10.20965/jaciii.2023.p0638
(2023)

Research Paper:

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Cloud-Edge Cooperative Control System in Continuous Annealing Processes

Wenshuo Song*,** ORCID Icon, Weihua Cao*,**,***,† ORCID Icon, Wenkai Hu*,**,*** ORCID Icon, and Min Wu*,**,*** ORCID Icon

*School of Automation, China University of Geosciences
No.388 Lumo Road, Hongshan District, Wuhan 430074, China

**Hubei Key Laboratory of Advanced Control and Intelligent Automation for Complex Systems
No.388 Lumo Road, Hongshan District, Wuhan 430074, China

***Engineering Research Center of Intelligent Technology for Geo-Exploration, Ministry of Education
No.388 Lumo Road, Hongshan District, Wuhan 430074, China

†Corresponding author

Received:
November 23, 2022
Accepted:
March 26, 2023
Published:
July 20, 2023
Creative Commons License
Keywords:
annealing furnace, control system, cloud-edge collaboration
Abstract

This study proposes a cloud-edge collaboration framework for temperature regulation in continuous annealing processes. A multiobjective optimization is formulated by ensuring the control accuracy of the temperature to reduce energy consumption and increase efficiency with cloud computing. Based on process analytics, a framework for clustering operating conditions with high real-time requirements is proposed. Further, a recommendation mechanism for furnace temperatures with low real-time requirements is developed in the cloud. Compared with traditional architectures, the cloud-edge collaboration approach improves energy savings and control stability, which demonstrates its effectiveness and practicality.

Cite this article as:
W. Song, W. Cao, W. Hu, and M. Wu, “Cloud-Edge Cooperative Control System in Continuous Annealing Processes,” J. Adv. Comput. Intell. Intell. Inform., Vol.27 No.4, pp. 638-644, 2023.
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Last updated on Apr. 22, 2024