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Study on intelligent assembly process planning and execution system based on digital twin

Shiqing Wu (School of Mechanical Engineering, University of Shanghai for Science and Technology, Shanghai, P.R. China)
Jiahai Wang (School of Mechanical Engineering, Tongji University, Shanghai, P.R. China)
Haibin Jiang (Siemens Industrial Software (Shanghai) Co., Ltd, Shanghai, P.R. China)
Weiye Xue (China Mobile (Shanghai) Information and Communication Technology Co., Ltd, Shanghai, P.R. China)

Robotic Intelligence and Automation

ISSN: 2754-6969

Article publication date: 30 April 2024

5

Abstract

Purpose

The purpose of this study is to explore a new assembly process planning and execution mode to realize rapid response, reduce the labor intensity of assembly workers and improve the assembly efficiency and quality.

Design/methodology/approach

Based on the related concepts of digital twin, this paper studies the product assembly planning in digital space, the process execution in physical space and the interaction between digital space and physical space. The assembly process planning is simulated and verified in the digital space to generate three-dimensional visual assembly process specification documents, the implementation of the assembly process specification documents in the physical space is monitored and feed back to revise the assembly process and improve the assembly quality.

Findings

Digital twin technology enhances the quality and efficiency of assembly process planning and execution system.

Originality/value

It provides a new perspective for assembly process planning and execution, the architecture, connections and data acquisition approaches of the digital twin-driven framework are proposed in this paper, which is of important theoretical values. What is more, a smart assembly workbench is developed, the specific image classification algorithms are presented in detail too, which is of some industrial application values.

Keywords

Acknowledgements

This work was supported by the National Natural Science Foundation of China (No.52005338).

Citation

Wu, S., Wang, J., Jiang, H. and Xue, W. (2024), "Study on intelligent assembly process planning and execution system based on digital twin", Robotic Intelligence and Automation, Vol. ahead-of-print No. ahead-of-print. https://doi.org/10.1108/RIA-05-2023-0065

Publisher

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Emerald Publishing Limited

Copyright © 2024, Emerald Publishing Limited

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