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arXiv 2310.04422cs.SE
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棕地生产系统数字孪生创建方法的定性与定量评估

Qualitative and quantitative evaluation of a methodology for the Digital Twin creation of brownfield production systems

Dominik Braun, Nasser Jazdi, Wolfgang Schloegl, Michael Weyrich

AI总结:

本文针对现有生产系统缺乏数字孪生的问题,提出并实施了创建多学科关系的方法,并对其好处进行了定性与定量评估。

摘要:

数字孪生是工业4.0中一个众所周知的概念,是网络物理生产系统的网络部分,提供虚拟调试或预测性维护等多项好处。现有生产系统缺乏数字孪生,必须通过耗时且易出错的过程手动创建。因此,开发了用于创建现有生产系统及其之间关系的数字模型的方法。本文介绍了创建多学科关系的方法的实施,并对该方法的好处进行了定量和定性评估。

英文摘要:

The Digital Twin is a well-known concept of industry 4.0 and is the cyber part of a cyber-physical production system providing several benefits such as virtual commissioning or predictive maintenance. The existing production systems are lacking a Digital Twin which has to be created manually in a time-consuming and error-prone process. Therefore, methods to create digital models of existing production systems and their relations between them were developed. This paper presents the implementation of the methodology for the creation of multi-disciplinary relations and a quantitative and qualitative evaluation of the benefits of the methodology.

机构、总结、中文摘要均由AI分析而来,可能存在错误,请以论文正文为准。

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