Generative AI-Empowered Digital Twin: A Comprehensive Survey With Taxonomy

IF 9.9 1区 计算机科学 Q1 AUTOMATION & CONTROL SYSTEMS
Diletta Chiaro;Pian Qi;Antonio Pescapè;Francesco Piccialli
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引用次数: 0

Abstract

Generative artificial intelligence (GenAI) and digital twin (DT) technologies have individually demonstrated valuable capabilities across a range of fields. Their integration, however, offers a unique synergy with the potential to bring meaningful advancements in various sectors. In this survey, we explore the fusion of GenAI and DT, highlighting their combined ability to enhance insights, optimizations, and innovative solutions. We begin by clarifying the core principles of each technology and then outline their collaborative applications. Furthermore, we provide a detailed taxonomy of areas where GenAI has been leveraged within the realm of DT, and conversely, where DT technology has been enhanced through GenAI techniques. By systematically categorizing these applications, we aim to offer a clear perspective on the interplay between GenAI and DT across different sectors.
生成式人工智能驱动的数字孪生:带分类标准的全面调查
生成式人工智能(GenAI)和数字孪生(DT)技术分别在一系列领域展示了有价值的能力。然而,它们的整合提供了独特的协同作用,有可能在各个领域带来有意义的进步。在本调查中,我们探讨了GenAI和DT的融合,强调了它们在增强洞察力、优化和创新解决方案方面的综合能力。我们首先阐明每种技术的核心原则,然后概述它们的协作应用。此外,我们还提供了在DT领域中利用GenAI的领域的详细分类,以及相反,通过GenAI技术增强DT技术的领域。通过系统地对这些应用进行分类,我们的目标是为GenAI和DT在不同部门之间的相互作用提供一个清晰的视角。
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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来源期刊
IEEE Transactions on Industrial Informatics
IEEE Transactions on Industrial Informatics 工程技术-工程:工业
CiteScore
24.10
自引率
8.90%
发文量
1202
审稿时长
5.1 months
期刊介绍: The IEEE Transactions on Industrial Informatics is a multidisciplinary journal dedicated to publishing technical papers that connect theory with practical applications of informatics in industrial settings. It focuses on the utilization of information in intelligent, distributed, and agile industrial automation and control systems. The scope includes topics such as knowledge-based and AI-enhanced automation, intelligent computer control systems, flexible and collaborative manufacturing, industrial informatics in software-defined vehicles and robotics, computer vision, industrial cyber-physical and industrial IoT systems, real-time and networked embedded systems, security in industrial processes, industrial communications, systems interoperability, and human-machine interaction.
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