Cognitive Digital Twins in the Process Industries

Jože Martin Rožanec; Pavlos Eirinakis; George Arampatzis; Nenad Stojanović; Kostas Kalaboukas; Jinzhi Lu; Xiaochen Zheng; Dimitris Kiritsis

doi:10.1201/9781003425724-34

Cognitive Digital Twins in the Process Industries

Jože Martin Rožanec
, Pavlos Eirinakis
, George Arampatzis
, Nenad Stojanović
, Kostas Kalaboukas
, Jinzhi Lu
, Xiaochen Zheng
, Dimitris Kiritsis

Research output: Chapter in Book/Report/Conference proceeding › Chapter › peer-review

Abstract

Cognitive Digital Twins aim to enhance Digital Twins by providing a cognition-first approach. To that end, it is essential to understand the types of knowledge that can be realized in the digital domain and their interplay to deliver business value. This chapter describes the architecture and components developed to materialize Cognitive Digital Twins in the process industries. We share the experience and expertise developed throughout the EU H2020 project FACTLOG and conclude by describing how specific components addressed particular challenges concerning three use cases. The use cases correspond to oil refining, metal-forming processes, and the textile industry. It must be noted that when this chapter was written, prototypes of separate components were developed but not yet integrated into a single platform and were not deployed to production environments.

Original language	English
Title of host publication	Handbook of Digital Twins
Publisher	CRC Press
Pages	473-497
Number of pages	25
ISBN (Electronic)	9781003850809
ISBN (Print)	9781032546070
DOIs	https://doi.org/10.1201/9781003425724-34
State	Published - 1 Jan 2024
Externally published	Yes

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10.1201/9781003425724-34

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AU - Rožanec, Jože Martin

AU - Eirinakis, Pavlos

AU - Arampatzis, George

AU - Stojanović, Nenad

AU - Kalaboukas, Kostas

AU - Lu, Jinzhi

AU - Zheng, Xiaochen

AU - Kiritsis, Dimitris

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M3 - 章节

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PB - CRC Press

ER -

Cognitive Digital Twins in the Process Industries

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