Intelligent Manufacturing with Digital Twin

D. Möller, H. Vakilzadian, Weyan Hou
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引用次数: 6

Abstract

The age of digital transformation will have a significant impact on industry and society. Designing, developing, and manufacturing products is more based on the influence of the fourth technological wave with its possibilities through digital transformation. The digital twin is commonly known as a key enabler for digital transformation at all scales – for large and small businesses, for organizations and individuals, globally and locally. The new challenges through digital transformation are seen as an opportunity to achieve higher levels of solutions to handle the different innovative technological methods with regard to quality in production in the manufacturing industry. Due to the complexity of intelligent manufacturing, an advanced and complex tool is required to (i) investigate, (ii) monitor, and (iii) simulate the intelligent manufacturing processes in real-time. The tool to achieve this goal is the digital twin, which works in parallel to sense, monitor, and control manufacturing devices and cyber-physical production systems across the manufacturing plant network infrastructure. The digital twin performs real-time optimization and evaluates the metrics of the execution of the intelligent manufacturing system. This paper introduces intelligent manufacturing and the digital twin as key enablers for the digital transformation in intelligent manufacturing.
数字孪生的智能制造
数字化转型时代将对工业和社会产生重大影响。产品的设计、开发和制造更多地是基于第四次技术浪潮的影响及其通过数字化转型带来的可能性。数字孪生通常被认为是各种规模的数字化转型的关键推动者——无论是大型企业还是小型企业,无论是组织还是个人,无论是全球还是本地。数字化转型带来的新挑战被视为实现更高水平解决方案的机会,以应对制造业生产质量方面的不同创新技术方法。由于智能制造的复杂性,需要一种先进而复杂的工具来(i)调查、(ii)监控和(iii)实时模拟智能制造过程。实现这一目标的工具是数字孪生,它可以在整个制造工厂网络基础设施中并行地感知、监视和控制制造设备和网络物理生产系统。数字孪生执行实时优化并评估智能制造系统的执行指标。本文介绍了智能制造和数字孪生作为智能制造数字化转型的关键推动因素。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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