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首页> 外文期刊>Journal of Intelligent Manufacturing >A state-of-the-art survey of Digital Twin: techniques, engineering product lifecycle management and business innovation perspectives
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A state-of-the-art survey of Digital Twin: techniques, engineering product lifecycle management and business innovation perspectives

机译：数字双胞胎的最先进的调查：技术，工程产品生命周期管理和企业创新视角

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摘要

With the rapid advancement of cyber-physical systems, Digital Twin (DT) is gaining ever-increasing attention owing to its great capabilities to realize Industry 4.0. Enterprises from different fields are taking advantage of its ability to simulate real-time working conditions and perform intelligent decision-making, where a cost-effective solution can be readily delivered to meet individual stakeholder demands. As a hot topic, many approaches have been designed and implemented to date. However, most approaches today lack a comprehensive review to examine DT benefits by considering both engineering product lifecycle management and business innovation as a whole. To fill this gap, this work conducts a state-of-the art survey of DT by selecting 123 representative items together with 22 supplementary works to address those two perspectives, while considering technical aspects as a fundamental. The systematic review further identifies eight future perspectives for DT, including modular DT, modeling consistency and accuracy, incorporation of Big Data analytics in DT models, DT simulation improvements, VR integration into DT, expansion of DT domains, efficient mapping of cyber-physical data and cloud/edge computing integration. This work sets out to be a guide to the status of DT development and application in today's academic and industrial environment.
机译：随着网络物理系统的快速进步，由于其实现行业4.0的巨大能力，数字双胞胎（DT）正在增加越来越关注。来自不同领域的企业正在利用其模拟实时工作条件的能力，并执行智能决策，可容易地提供经济效益的解决方案，以满足个人利益相关者需求。作为一个热门话题，许多方法已经设计和实施到目前为止。然而，今天的大多数方法都缺乏全面的审查，以考虑整个工程产品生命周期管理和商业创新来审查DT利益。为了填补这一差距，通过选择123个代表项目以及22个补充工程来解决这两个观点，对DT进行最先进的艺术调查，同时考虑到技术方面作为基本的技术方面。系统审查进一步识别了DT的八个未来视角，包括模块化DT，建模一致性和准确性，在DT模型中纳入大数据分析，DT模拟改进，VR集成到DT，DT域的扩展，网络物理数据的高效映射和云/边缘计算集成。这项工作列出了DT开发和应用在当今学术和工业环境中的地位指南。

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