工业中的数字孪生和基于web的3D用例

Bruno Simões, M. P. Carretero, Jairo R. Sánchez, C. Toro, Jorge Posada
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引用次数: 0

摘要

多物理模型与数据驱动的决策相结合,产生了一种新的范式,即“数字孪生”。数字孪生是系统或物理资产的活数字模型,可以根据实时数据不断适应操作变化。如果设计得当,数字孪生体可以帮助预测其对应的物理孪生体的未来行为。本文介绍了一系列用例,说明了数字孪生在工业产品生命周期的不同阶段中的作用。用例使用3D web技术实现用户界面,使用web标准(X3D和glTF)实现模块之间的数据交换。这项工作的贡献包括一组经验教训和一些关于数字孪生和3D网络技术之间未来协同作用的提示。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Digital Twin and 3D Web-based Use Cases in Industry
Multi-physical modeling combined with data-driven decision making is giving rise to a new paradigm, the "digital twin." The digital twin is a living digital model of a system or physical asset that continuously adapts to operational changes based on real-time data. When properly designed, a digital twin can help predict the future behavior of its corresponding physical counterpart. This paper presents a series of use cases that illustrate the role of a digital twin in different stages of the industrial product lifecycle. The use cases are implemented using 3D web technology for user interfaces and web standards (X3D and glTF) for data exchange between modules. The contribution of this work consists of a set of lessons learnt and some hints on future synergies between digital twin and 3D web technologies.
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