分析数字孪生及其实物:探索实际应用数据集的效率和准确性

Data Science and Management Pub Date : 2024-12-01 Epub Date: 2024-04-12 DOI:10.1016/j.dsm.2024.04.002
Henry Chima Ukwuoma , Gilles Dusserre , Gouenou Coatrieux , Johanne Vincent
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引用次数: 0

摘要

数字孪生(DT)的概念最近很受欢迎,因为它能够创建系统的虚拟表示,以提高其网络物理对应物的性能。本研究对 DT 数据集及其相应的物理对象进行比较和分析,以确定 DT 技术在实际应用中的有效性和可靠性。研究旨在提供一个框架,用于确定物理对象与其对应的 DT 之间的(不)相似程度。研究以配水系统(WADI)为视角。研究结果表明,所提出的框架提供了一种方法,可使用适当的统计测试来确定物理对象及其 DT 的(不)相似程度(考虑数据集)。
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Analysis of digital twin and its physical object: Exploring the efficiency and accuracy of datasets for real-world application
The concept of digital twin (DT) has recently gained popularity due to its ability to create a virtual representation of systems in order to improve the performance of its cyber-physical counterpart. This study compares and analyses datasets of DTs and their corresponding physical objects to determine the effectiveness and dependability of DT technology for practical applications. The research aims to proffer a framework for ascertaining the level of (dis)similarity between a physical object and its DT equivalent. A study of water distribution (WADI) is put into perspective. Findings revealed that the proffered framework presents a method for ascertaining a (dis)similarity level (considering datasets) of a physical object and its DT using adequate statistical tests.
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