数字孪生技术及其应用系统综述。

4区 计算机科学 Q1 Arts and Humanities Visual Computing for Industry, Biomedicine, and Art Pub Date : 2023-05-30 DOI:10.1186/s42492-023-00137-4
Jun-Feng Yao, Yong Yang, Xue-Cheng Wang, Xiao-Peng Zhang
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引用次数: 4

摘要

数字孪生(digital twin, DT)作为数字化、智能化、服务化的重要应用之一,突破了物理实体在时间、空间、成本、安全等方面的限制,扩展和优化了物理实体的相关功能,提升了物理实体的应用价值。这一现象在学术界和工业界得到了广泛的研究。在本研究中,对各行业学者和研究人员所使用的数据挖掘概念和定义进行了总结。解释了DT与相关技术之间的内在联系。确定了DT发展历史的四个阶段。综述了该技术的基本原理、评价指标和模型框架。随后,提出了基于时间、空间和逻辑的DT概念三元模型。介绍了典型DT系统的技术及应用现状。最后,分析了当前DT技术面临的技术挑战,并对未来的发展方向进行了讨论。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

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Systematic review of digital twin technology and applications.

As one of the most important applications of digitalization, intelligence, and service, the digital twin (DT) breaks through the constraints of time, space, cost, and security on physical entities, expands and optimizes the relevant functions of physical entities, and enhances their application value. This phenomenon has been widely studied in academia and industry. In this study, the concept and definition of DT, as utilized by scholars and researchers in various fields of industry, are summarized. The internal association between DT and related technologies is explained. The four stages of DT development history are identified. The fundamentals of the technology, evaluation indexes, and model frameworks are reviewed. Subsequently, a conceptual ternary model of DT based on time, space, and logic is proposed. The technology and application status of typical DT systems are described. Finally, the current technical challenges of DT technology are analyzed, and directions for future development are discussed.

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来源期刊
Visual Computing for Industry, Biomedicine, and Art
Visual Computing for Industry, Biomedicine, and Art Arts and Humanities-Visual Arts and Performing Arts
CiteScore
5.60
自引率
0.00%
发文量
28
审稿时长
5 weeks
期刊最新文献
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