数字孪生技术对物联网、工业和其他智能环境的影响调查

Mathupriya S, Saira Banu S, S. S, Arthi B
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引用次数: 1

摘要

“数字孪生”(DT)是目前商业和学术领域众多研究人员感兴趣的一项新兴技术。由于技术进步,特别是在工业领域,经济增长加快了。来自物理机和虚拟机的数据在两个方向上进行组合。物联网(IoT)和人工智能(AI)是数字孪生带来的许多困难、应用和技术集成的两个例子。这项工作彻底回顾和探讨了数字孪生的概念。本次调查的重点研究主题是医疗保健、商业、智能城市和基于天气的应用。它反映了人们目前对研究领域的看法。通过这项研究,可以更容易地检查使孪生技术,开放问题和数字孪生的应用。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
A Survey of the Impact of Digital Twin Technology on IoT, Industries, and Other Smart Environments
A developing technology gaining interest from numerous researchers in current commercial and academic domains is known as “digital twinning” (DT). Growth has accelerated thanks to technological advances, particularly in the industrial industries. Data from both physical and virtual machines are combined in both directions. The Internet of Things (IoT) and Artificial Intelligence (AI) are two examples of the many difficulties, applications, and technical integrations that come with digital twinning. This work thoroughly reviews and explores the notion of digital twinning. The study topics that were the focus of this survey were health care, business, smart cities, and weatherbased applications. It reflects how people currently view the research field. Examining enabling twinning technologies, open problems, and applications of digital twinning are made easier by this study.
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