Concept of hybrid modeled digital twins and its application for an energy management of manufacturing systems

Pascal Langlotz; Matthias Klar; Li Yi; Marco Hussong; Fábio J.P. Sousa; Jan C. Aurich

doi:10.1016/j.procir.2022.09.098

Concept of hybrid modeled digital twins and its application for an energy management of manufacturing systems

Pascal Langlotz^*
, Matthias Klar
, Li Yi
, Marco Hussong
, Fábio J.P. Sousa
, Jan C. Aurich

^*此作品的通讯作者

The University of Kaiserslautern-Landau
Universidade Federal do Rio Grande do Norte

科研成果: 期刊稿件 › 会议文章 › 同行评审

27 引用（Scopus）

摘要

Digital twins are used to digitally map properties and states of real manufacturing systems. Based on relevant data-driven and physics-based digital models, digital twins are employed to monitor, analyze and predict aspects of the corresponding manufacturing system. Therefore, digital twins are used on different manufacturing levels, e.g. the factory, machine, or process level. This paper presents a concept for digital twins that are modeled by physics-based and data-driven models. Furthermore, this concept is validated with the help of a use case that controls an energy management system of a model-scale factory by finding the optimal time for charging and using the battery.

源语言	英语
页（从-至）	549-554
页数	6
期刊	Procedia CIRP
卷	112
DOI	https://doi.org/10.1016/j.procir.2022.09.098
出版状态	已出版 - 2022
已对外发布	是
活动	15th CIRP Conference on Intelligent Computation in Manufacturing Engineering, ICME 2021 - Naples, 意大利期限: 14 7月 2021 → 16 7月 2021

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10.1016/j.procir.2022.09.098

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title = "Concept of hybrid modeled digital twins and its application for an energy management of manufacturing systems",

abstract = "Digital twins are used to digitally map properties and states of real manufacturing systems. Based on relevant data-driven and physics-based digital models, digital twins are employed to monitor, analyze and predict aspects of the corresponding manufacturing system. Therefore, digital twins are used on different manufacturing levels, e.g. the factory, machine, or process level. This paper presents a concept for digital twins that are modeled by physics-based and data-driven models. Furthermore, this concept is validated with the help of a use case that controls an energy management system of a model-scale factory by finding the optimal time for charging and using the battery.",

keywords = "Data-driven Models, Digital Twin, Physics-based Models, Production",

author = "Pascal Langlotz and Matthias Klar and Li Yi and Marco Hussong and Sousa, \{F{\'a}bio J.P.\} and Aurich, \{Jan C.\}",

note = "Publisher Copyright: {\textcopyright} 2022 The Author(s).; 15th CIRP Conference on Intelligent Computation in Manufacturing Engineering, ICME 2021 ; Conference date: 14-07-2021 Through 16-07-2021",

year = "2022",

doi = "10.1016/j.procir.2022.09.098",

language = "英语",

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pages = "549--554",

journal = "Procedia CIRP",

issn = "2212-8271",

publisher = "Elsevier B.V.",

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TY - JOUR

T1 - Concept of hybrid modeled digital twins and its application for an energy management of manufacturing systems

AU - Langlotz, Pascal

AU - Klar, Matthias

AU - Yi, Li

AU - Hussong, Marco

AU - Sousa, Fábio J.P.

AU - Aurich, Jan C.

PY - 2022

Y1 - 2022

N2 - Digital twins are used to digitally map properties and states of real manufacturing systems. Based on relevant data-driven and physics-based digital models, digital twins are employed to monitor, analyze and predict aspects of the corresponding manufacturing system. Therefore, digital twins are used on different manufacturing levels, e.g. the factory, machine, or process level. This paper presents a concept for digital twins that are modeled by physics-based and data-driven models. Furthermore, this concept is validated with the help of a use case that controls an energy management system of a model-scale factory by finding the optimal time for charging and using the battery.

AB - Digital twins are used to digitally map properties and states of real manufacturing systems. Based on relevant data-driven and physics-based digital models, digital twins are employed to monitor, analyze and predict aspects of the corresponding manufacturing system. Therefore, digital twins are used on different manufacturing levels, e.g. the factory, machine, or process level. This paper presents a concept for digital twins that are modeled by physics-based and data-driven models. Furthermore, this concept is validated with the help of a use case that controls an energy management system of a model-scale factory by finding the optimal time for charging and using the battery.

KW - Data-driven Models

KW - Digital Twin

KW - Physics-based Models

KW - Production

UR - https://www.scopus.com/pages/publications/85142607424

U2 - 10.1016/j.procir.2022.09.098

DO - 10.1016/j.procir.2022.09.098

M3 - 会议文章

AN - SCOPUS:85142607424

SN - 2212-8271

VL - 112

SP - 549

EP - 554

JO - Procedia CIRP

JF - Procedia CIRP

T2 - 15th CIRP Conference on Intelligent Computation in Manufacturing Engineering, ICME 2021

Y2 - 14 July 2021 through 16 July 2021

ER -

Concept of hybrid modeled digital twins and its application for an energy management of manufacturing systems

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