Kugler, Stefan ; Kern, Alexander ; Anderl, Reiner (2021)
Method for the generation of use case related views for Digital Twins.
In: Procedia CIRP, 104
doi: 10.1016/j.procir.2021.11.320
Artikel, Bibliographie
Kurzbeschreibung (Abstract)
As a result of the ongoing digitization, the amount of data generated in companies is continuously increasing. At the same time, IT infrastructures are becoming more sophisticated as the number of software systems used increases and additional databases have to be integrated. In-depth IT knowledge is required to use the acquired data and administer the systems, but is often not available to the extent necessary. This can reduce the readiness for digitization topics in the company. As a result, collected data is not used and does not benefit companies as dark data. A current and promising topic in this context is the Digital Twin. The Digital Twin is a complex information technology concept that utilizes data to realistically represent the behaviour of a physical product for specific use cases. Consequently, it gains value by feeding it relevant data. However, defining the correct use cases for Digital Twins may pose a significant challenge. Therefore, this concept paper presents a method for use case related views of Digital Twins. It supports the definition of use cases that are integrated into the Digital Twin as use case related views. In addition, data required to generate an instance-specific use case related view is automatically retrieved and visualized by the existing Digital Twin.
| Typ des Eintrags: | Artikel |
|---|---|
| Erschienen: | 2021 |
| Autor(en): | Kugler, Stefan ; Kern, Alexander ; Anderl, Reiner |
| Art des Eintrags: | Bibliographie |
| Titel: | Method for the generation of use case related views for Digital Twins |
| Sprache: | Englisch |
| Publikationsjahr: | 2021 |
| Verlag: | Elsevier B.V. |
| Titel der Zeitschrift, Zeitung oder Schriftenreihe: | Procedia CIRP |
| Jahrgang/Volume einer Zeitschrift: | 104 |
| DOI: | 10.1016/j.procir.2021.11.320 |
| URL / URN: | https://www.sciencedirect.com/science/article/pii/S221282712... |
| Kurzbeschreibung (Abstract): | As a result of the ongoing digitization, the amount of data generated in companies is continuously increasing. At the same time, IT infrastructures are becoming more sophisticated as the number of software systems used increases and additional databases have to be integrated. In-depth IT knowledge is required to use the acquired data and administer the systems, but is often not available to the extent necessary. This can reduce the readiness for digitization topics in the company. As a result, collected data is not used and does not benefit companies as dark data. A current and promising topic in this context is the Digital Twin. The Digital Twin is a complex information technology concept that utilizes data to realistically represent the behaviour of a physical product for specific use cases. Consequently, it gains value by feeding it relevant data. However, defining the correct use cases for Digital Twins may pose a significant challenge. Therefore, this concept paper presents a method for use case related views of Digital Twins. It supports the definition of use cases that are integrated into the Digital Twin as use case related views. In addition, data required to generate an instance-specific use case related view is automatically retrieved and visualized by the existing Digital Twin. |
| Freie Schlagworte: | Digital Twin, View, Industry 4.0, Digitalization |
| Zusätzliche Informationen: | Part of special issue: 54th CIRP CMS 2021 - Towards Digitalized Manufacturing 4.05 |
| Fachbereich(e)/-gebiet(e): | 16 Fachbereich Maschinenbau 16 Fachbereich Maschinenbau > Fachgebiet Datenverarbeitung in der Konstruktion (DiK) (ab 01.09.2022 umbenannt in "Product Life Cycle Management") |
| Hinterlegungsdatum: | 09 Dez 2021 06:14 |
| Letzte Änderung: | 09 Dez 2021 06:14 |
| PPN: | |
| Export: | |
| Suche nach Titel in: | TUfind oder in Google |
 |
Frage zum Eintrag |
Optionen (nur für Redakteure)
 |
Redaktionelle Details anzeigen |
Drucken
Impressum