Digital Twin Requirements in the Context of Industry 4.0
Digital Twin Requirements in the Context of Industry 4.0
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DOI：
10.1007/978-3-030-01614-2_19
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发表时间：
2018-07
期刊：
影响因子：
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通讯作者：
Luiz Fernando C. S. Durão;S. Haag;R. Anderl;K. Schützer;E. Zancul
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文献类型：
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作者：
Luiz Fernando C. S. Durão;S. Haag;R. Anderl;K. Schützer;E. Zancul
数字孪生（DT）被认为是工业4.0计划的重要推动者。在工业4.0中，在整个生命周期中生成和收集的数字产品信息量一直在增长。可以利用当前的信息和通信技术（包括数据存储、数据处理和无线数据传输）来以增加的细节水平数字地镜像对应物理产品的生命周期。DT通过更全面的数据和知识积累在物理产品和虚拟模型之间建立联系。因此，DT可以被应用于增强模拟、可跟踪性以及支持沿生命周期沿着提供增值服务。然而，DT的定义及其要求尚未完全确立。DT模型应具备哪些特征才能广泛应用于制造业仍然是文献中的一个悬而未决的问题。这个概念仍然很广泛，取决于生命周期阶段和应用的行业部门。因此，本文的目的是根据文献综述和行业采访提出DT要求的初步综合。文献综述的重点是2010年至2018年发表的论文的内容分析，并在ISI Web of Science数据库中检索。访谈是与巴西的行业代表进行的。结果表明，DT的要求与实时数据，集成和保真度。此外，它表明，工业需求接近文献和DT的实际实施是在这一领域的研究的未来。
Digital Twin (DT) is being considered a significant enabler for Industry 4.0 initiatives. Within Industry 4.0, the amount of digital product information generated and collected over the entire lifecycle has been growing. Current information and communication technologies, including data storage, data processing, and wireless data transmission, may be leveraged to digitally mirror the lifecycle of a corresponding physical product with increasing level of detail. A DT creates a link between physical products and their virtual models with more comprehensive data and accumulation of knowledge. Therefore, a DT may be applied to enhance simulation, traceability and to support the offering of value-added services along the lifecycle. However, the definition of a DT and its requirements are not yet fully established. The characteristics a DT model should possess to be widely used in manufacturing remains an open question in the literature. The concept is still broad and dependent on the lifecycle stage and industry sector of application. Therefore, the objective of this paper is to propose an initial synthesis of DT requirements based on a literature review and industry interviews. The literature review focuses on the content analysis of papers published from 2010 to 2018 and indexed in the ISI Web of Science database. The interviews were conducted with industry representatives in Brazil. The results show that DT requirements are related to real-time data, integration, and fidelity. Besides, it shows that industry requirements are close to literature and the actual implementation of DT is the future of research in this field.