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Control and Communication Coordination for Industrial Digital Twins of Sintering Process

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Broadband Communications, Computing, and Control for Ubiquitous Intelligence

Part of the book series: Wireless Networks ((WN))

Abstract

The smart factory is driving the deep integration of a new generation of information technology and manufacturing. Industrial digital twins, which monitor and manage all factors in the industrial process based on virtual representations, greatly improve the production quality control of manufacturing. Its popularization demands strong supports of the industrial field network and coordination of control and communication. This chapter proposes a new scheme of control and communication coordination for industrial digital twins, which takes the advantages of the following key technologies: (1) a new multi-tier coordination architecture toward the field of smart factory, which meets diverse requirements of the manufacturing process in industrial fields and facilitates the integration of communication technology (CT), operation technology (OT), and information technology (IT); (2) a time-sensitive networking (TSN) based deterministic and real-time communication for vast amount of data interaction in control and communication coordination for digital twins; (3) an intelligent modeling way for industrial process by integrating the numerical and data-driven methods; and (4) a digital twin-assisted intelligent decision-making mechanism. The scheme is verified by the case study on sintering process, where we construct more than 100 digital twins and achieve the production quality prediction accuracy of over 90% with 2-hour in advance.

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Acknowledgements

This work was partially supported by the National Key R&D Program of China under the grant 2018YFB1702100, the National Natural Science Foundation of China under the grants 62025305, 61933009, and 62103268, and the Ministry of Industry and Information Technology of China under the grant ZX20200064. Special thanks to Mr. Chugang Shi, the technical director of Sintering Plant, Liuzhou Steel Group, Guangxi, P. R. China, and other technicians for their unreserved supports and constructive comments on the digital modeling for sintering process.

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Authors and Affiliations

  1. Department of Automation, Shanghai Jiao Tong University, Shanghai, China

    Cailian Chen, Xiaojing Wen, Xuehan Bai, Lei Xu, Cheng Ren, Jiale Ye & Xinping Guan

  2. John Hopcroft Center, Shanghai Jiao Tong University, Shanghai, China

    Yehan Ma

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  1. Cailian Chen
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  2. Xiaojing Wen
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  3. Xuehan Bai
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  4. Lei Xu
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  5. Cheng Ren
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  6. Jiale Ye
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  7. Yehan Ma
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  8. Xinping Guan
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Correspondence to Cailian Chen .

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Editors and Affiliations

  1. Department of Electrical & Computer Engineering, University of Victoria, Victoria, BC, Canada

    Lin Cai

  2. Department of Electrical & Computer Engineering, George Mason University, Fairfax, VA, USA

    Brian L. Mark

  3. Department of Computer Science, University of Victoria, Victoria, BC, Canada

    Jianping Pan

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Chen, C. et al. (2022). Control and Communication Coordination for Industrial Digital Twins of Sintering Process. In: Cai, L., Mark, B.L., Pan, J. (eds) Broadband Communications, Computing, and Control for Ubiquitous Intelligence. Wireless Networks. Springer, Cham. https://doi.org/10.1007/978-3-030-98064-1_15

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  • DOI: https://doi.org/10.1007/978-3-030-98064-1_15

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-98063-4

  • Online ISBN: 978-3-030-98064-1

  • eBook Packages: Computer ScienceComputer Science (R0)

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