Hybrid and cognitive digital twins for the process industry

IF 1.5 Q2 ENGINEERING, MULTIDISCIPLINARY

Open Engineering Pub Date : 2023-01-01 DOI:10.1515/eng-2022-0418

S. T. Johansen, Perin Unal, Özlem Albayrak, E. Ikonen, Kasper Linnestad, Sudi Jawahery, Akhilesh K. Srivastava, Bjørn Tore Løvfall

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引用次数: 0

Abstract

Abstract In a Europe that is undergoing digital transformation, the COGNITWIN project is contributing to accelerate the transformation and introduce Industry 4.0 to the European process industries. The opportunities here can be illustrated by the SPIRE 2050 Vision document (https://www.spire2030.eu/sites/default/files/users/user85/Vision_Document_V6_Pages_Online_0.pdf), which states that “Digitalisation of process industries has a tremendous potential to dramatically accelerate change in resource management, process control and in the design and the deployment of disruptive new business models.” The process industries are characterized with harsh environments where sensors are either costly, not available, or may be subject to costly maintenance. The development of digital twins that can exploit the combinations of data-based and physics-based models is often found to be a preferred path to robust digital twins that can help cutting costs and reduce energy consumption. In this article, we present 5 out of 6 industrial pilots that are developed in the COGNITWIN project. We discuss the commonalities and differences between the selected approaches and give some ideas about how cognition can be incorporated into the digital twins. The aim of this article is to inspire similar projects in related industries.

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加工行业的混合和认知数字双胞胎

摘要在一个正在经历数字化转型的欧洲，COGNITWIN项目有助于加快转型，并将工业4.0引入欧洲加工行业。SPIRE 2050愿景文件说明了这里的机遇(https://www.spire2030.eu/sites/default/files/users/user85/Vision_Document_V6_Pages_Online_0.pdf)，指出“流程行业的数字化具有巨大的潜力，可以大大加快资源管理、流程控制以及颠覆性新商业模式的设计和部署的变革。”流程行业的特点是环境恶劣，传感器要么成本高昂，要么不可用，要么可能需要昂贵的维护。开发可以利用基于数据和基于物理的模型的组合的数字双胞胎通常被认为是实现稳健数字双胞胎的首选途径，这有助于降低成本和能源消耗。在本文中，我们介绍了COGNITWIN项目中开发的6个工业试点中的5个。我们讨论了所选方法之间的共性和差异，并就如何将认知融入数字双胞胎提出了一些想法。本文的目的是启发相关行业的类似项目。

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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来源期刊

Open Engineering ENGINEERING, MULTIDISCIPLINARY-

CiteScore

3.90

自引率

0.00%

发文量

审稿时长

30 weeks

期刊介绍： Open Engineering publishes research results of wide interest in emerging interdisciplinary and traditional engineering fields, including: electrical and computer engineering, civil and environmental engineering, mechanical and aerospace engineering, material science and engineering. The journal is designed to facilitate the exchange of innovative and interdisciplinary ideas between researchers from different countries. Open Engineering is a peer-reviewed, English language journal. Researchers from non-English speaking regions are provided with free language correction by scientists who are native speakers. Additionally, each published article is widely promoted to researchers working in the same field.