The Digital Twin paradigm is a very promising technology that can be applied to various fields and applications. However, it lacks a unifying framework for classifying and defining use cases. The goal of this paper is to address the identified gap. Using a field study and a bottom-up approach, it aims to categorize the various uses of the industrial Digital Twin to help formalize the concept and rationalize its adoption by a range of industrial sectors. The study is based on an iterative process of collecting use cases from a wide variety of verticals, applying grounded theory principles. The usage scenarios were extracted, synthesized, grouped and abstracted to develop an actionable use cases classification framework. This article presents the resulting taxonomy and illustrates it by detailing real industrial use cases, including their value proposition and application areas. This collection, classification and analysis of use cases led to a study of the common aspects proposed in academic and industrial definitions of the Digital Twin. The goal was to combine and generalize these aspects into a pragmatic and unifying definition, on which the Alliance for Industry of the Future (AIF) committee has converged. The main contributions of this work include proposing, from a joint industrial and academic perspective, (i) the first domain-independent and industry-focused systematic collection of Digital Twin use cases, (ii) a comprehensive framework for analyzing and classifying Digital Twin use cases and their requirements, and (iii) a consensual general definition of the industrial Digital Twin to contribute to the structuring and standardization of this very active ecosystem.

中文翻译：

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基于行业反馈的数字孪生用例分类和定义框架


数字孪生范式是一项非常有前途的技术，可以应用于各个领域和应用。然而，它缺乏用于分类和定义用例的统一框架。本文的目标是解决已发现的差距。它采用实地研究和自下而上的方法，旨在对工业数字孪生的各种用途进行分类，以帮助将该概念正式化并使其在一系列工业部门的采用合理化。该研究基于应用扎根理论原则从各种垂直领域收集用例的迭代过程。使用场景被提取、合成、分组和抽象，以开发可操作的用例分类框架。本文介绍了由此产生的分类法，并通过详细说明实际的工业用例（包括其价值主张和应用领域）对其进行了说明。对用例的收集、分类和分析引发了对数字孪生学术和工业定义中提出的共同方面的研究。其目标是将这些方面结合并概括为一个务实且统一的定义，未来工业联盟 (AIF) 委员会已在此基础上达成共识。这项工作的主要贡献包括从工业和学术联合的角度提出：（i）第一个独立于领域且以行业为中心的数字孪生用例系统集合，（ii）用于分析和分类数字孪生使用的综合框架案例及其要求，以及（iii）工业数字孪生的共识一般定义，以促进这个非常活跃的生态系统的结构化和标准化。