Research Article
An Overview of Research on Digital Replication Technology Implementation
@INPROCEEDINGS{10.4108/eai.2-6-2023.2334613, author={Bo Wu and Wangbei Xu and De’an Chen and Xingrui Huang and Zeyu Li and Kaisong Zhang and Yongwei Shen}, title={An Overview of Research on Digital Replication Technology Implementation}, proceedings={Proceedings of the 2nd International Conference on Information Economy, Data Modeling and Cloud Computing, ICIDC 2023, June 2--4, 2023, Nanchang, China}, publisher={EAI}, proceedings_a={ICIDC}, year={2023}, month={8}, keywords={industry 40 digital twin finite element model deep learning}, doi={10.4108/eai.2-6-2023.2334613} }- Bo Wu
Wangbei Xu
De’an Chen
Xingrui Huang
Zeyu Li
Kaisong Zhang
Yongwei Shen
Year: 2023
An Overview of Research on Digital Replication Technology Implementation
ICIDC
EAI
DOI: 10.4108/eai.2-6-2023.2334613
Abstract
Digital Twin is a technology that uses digital modeling to reflect physical entity changes based on physical and data driving, connect real space with virtual models, and simulate real models in virtual space [1]. This article summarizes the step-by-step implementation process and discusses physical modeling, virtual modeling, data acquisition and pro-cessing, connection between physical and virtual environment, development trend, and difficult problems. The focus is on the technical realization of digital twin technology.
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