A framework and method for equipment digital twin dynamic evolution based on IExATCN

Dynamic evolution is the most typical feature of a digital twin, making it different from a traditional digital model. Dynamic evolution is also the core technology for building equipment digital twins because it ensures consistency between physical space and virtual space. This paper proposes a dyn...

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Published in:Journal of intelligent manufacturing 2024-04, Vol.35 (4), p.1571-1583
Main Authors: Wang, Kunyu, Zhang, Lin, Jia, Zidi, Cheng, Hongbo, Lu, Han, Cui, Jin
Format: Article
Language:English
Subjects:
Accuracy
Behavior
Black boxes
Business and Management
Control
Data acquisition
Design
Digital twins
Evolutionary algorithms
Machines
Manufacturing
Mechatronics
Processes
Production
R&D
Research & development
Robotics
Simulation
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creator Wang, Kunyu
Zhang, Lin
Jia, Zidi
Cheng, Hongbo
Lu, Han
Cui, Jin
description Dynamic evolution is the most typical feature of a digital twin, making it different from a traditional digital model. Dynamic evolution is also the core technology for building equipment digital twins because it ensures consistency between physical space and virtual space. This paper proposes a dynamic evolution framework for black box equipment digital twins. The framework consists of three main parts: data acquisition and processing, an evolution triggering mechanism and an evolution algorithm. A formal description of the dynamic evolution of a black box digital twin is also given. Furthermore, by synthetically considering the computational accuracy and efficiency, we design an incremental external attention temporal convolution network (IExATCN) model to instantiate the proposed framework. Finally, the significance of digital twin dynamic evolution and the effectiveness of the IExATCN is verified by 3D equipment attitude estimation datasets.
doi_str_mv 10.1007/s10845-023-02125-0
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subjects Accuracy
Behavior
Black boxes
Business and Management
Control
Data acquisition
Design
Digital twins
Evolutionary algorithms
Machines
Manufacturing
Mechatronics
Processes
Production
R&D
Research & development
Robotics
Simulation
title A framework and method for equipment digital twin dynamic evolution based on IExATCN
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