用数字孪生水平(LoDT)重塑数字孪生结构

IF 3.8 Q2 COMPUTER SCIENCE, INFORMATION SYSTEMS
João Vieira, João Poças Martins, Nuno Marques de Almeida, Hugo Patrício, João Morgado
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引用次数: 0

摘要

虽然数字孪生(DTs)已经取得了显著的知名度,但在其解释和定义方面仍然面临着缺乏统一性的问题。这种术语的多样性和互换性使得开展科学活动和组织把握现有机遇以及如何使其业务受益面临挑战。本文旨在将焦点从对 DT 定义的争论转移开来。相反,它提出了一种概念性方法,将工程实物资产的数字化孪生作为一个持续的过程,其复杂性和进化能力随时间而变化。为此,文章以 DT 的基本要素为基础,提出了数字孪生的功能架构,以反映实物资产在其整个生命周期中各种形式和层次的数字孪生 (LoDT)。此外,这项工作还提出了 UNI-TWIN--一个统一的模型,以协助组织评估其资产的 LoDT,并支持投资规划决策。来自公路和铁路部门的三个案例研究验证了该模型的适用性。UNI-TWIN 有助于重新引导围绕 DT 的讨论,并强调数字孪生(即工程资产管理)的各种现实所带来的机遇和挑战。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Reshaping the Digital Twin Construct with Levels of Digital Twinning (LoDT)
While digital twins (DTs) have achieved significant visibility, they continue to face a problem of lack of harmonisation regarding their interpretation and definition. This diverse and interchangeable use of terms makes it challenging for scientific activities to take place and for organisations to grasp the existing opportunities and how can these benefit their businesses. This article aims to shift the focus away from debating a definition for a DT. Instead, it proposes a conceptual approach to the digital twinning of engineering physical assets as an ongoing process with variable complexity and evolutionary capacity over time. To accomplish this, the article presents a functional architecture of digital twinning, grounded in the foundational elements of the DT, to reflect the various forms and levels of digital twinning (LoDT) of physical assets throughout their life cycles. Furthermore, this work presents UNI-TWIN—a unified model to assist organisations in assessing the LoDT of their assets and to support investment planning decisions. Three case studies from the road and rail sector validate its applicability. UNI-TWIN helps to redirect the discussion around DTs and emphasise the opportunities and challenges presented by the diverse realities of digital twinning, namely in the context of engineering asset management.
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来源期刊
Applied System Innovation
Applied System Innovation Mathematics-Applied Mathematics
CiteScore
7.90
自引率
5.30%
发文量
102
审稿时长
11 weeks
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