COGNITWIN -过程工业的混合和认知数字孪生

2020 IEEE International Conference on Engineering, Technology and Innovation (ICE/ITMC) Pub Date : 2020-06-01 DOI:10.1109/ICE/ITMC49519.2020.9198403

Sailesh Abburu, Arne-Jørgen Berre, Michael Jacoby, D. Roman, Ljiljana Stojanović, Nenad Stojanovic

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引用次数: 38

摘要

混合和认知数字孪生的概念被引入，作为过程和制造业中下一阶段过程控制和自动化的要素。我们提出了一个实现混合和认知双胞胎的架构，作为COGNITWIN软件工具箱的一部分。该工具箱旨在涵盖过程设备和资产的最佳操作和维护的认知能力，从而最大限度地减少生产开销并提高过程工业的效率。此外，我们确定了过程工业中的一组相关用例，并讨论了工具箱的可能适用性和使用。

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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COGNITWIN – Hybrid and Cognitive Digital Twins for the Process Industry

The concepts of Hybrid and Cognitive Digital Twin are introduced as elements of the next level of process control and automation in the process and manufacturing industry. We propose an architecture for the implementation of Hybrid and Cognitive Twins as part of the COGNITWIN software toolbox. The toolbox is designed to cover cognitive capabilities for optimal operations and maintenance of process equipment and assets, thereby minimizing production overheads and increasing efficiencies for the process industry. Furthermore, we identify a set of relevant use cases in the process industry and discuss the possible applicability and use of the toolbox.

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来源期刊

2020 IEEE International Conference on Engineering, Technology and Innovation (ICE/ITMC)

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