Cloud-Edge Cooperative Control System in Continuous Annealing Processes-Reference-Cited by-同舟云学术

Cloud-Edge Cooperative Control System in Continuous Annealing Processes

Published:2023-07-20 Issue:4 Volume:27 Page:638-644
ISSN:1883-8014
Container-title:Journal of Advanced Computational Intelligence and Intelligent Informatics
language:en
Short-container-title:JACIII

Author:

Song Wenshuo¹²^ORCID,Cao Weihua¹²³^ORCID,Hu Wenkai¹²³^ORCID,Wu Min¹²³^ORCID

Affiliation:

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

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

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

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.

Funder

National Natural Science Foundation of China

Hubei Provincial Natural Science Foundation of China

Higher Education Discipline Innovation Project

Publisher

Fuji Technology Press Ltd.

Subject

Artificial Intelligence,Computer Vision and Pattern Recognition,Human-Computer Interaction

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