Supporting semantic PLM by using a lightweight engineering metadata mapping engine

Eiden, Andreas; Eickhoff, Thomas; Gries, Jonas; Göbel, Jens Christian; Psota, Thomas

doi:10.1016/j.procir.2021.05.146

Cited by 5 publications

(2 citation statements)

References 12 publications

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“…This is not always practical. Following the ideas described in section 3.3, a platform for the metadata-based integration of different data sources was developed (Eiden et al, 2021;Eickhoff et al, 2020b). The Semantic Product/Process Information and Digitized Engineering Repository (SP²IDER) gathers metadata about the objects present in the source systems (see Figure 4).…”

Section: Exemplary Derivation Of Digital Twins For Availability-orien...mentioning

confidence: 99%

Approach for Developing Digital Twins of Smart Products Based on Linked Lifecycle Information

2022

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The ongoing digitization of engineering processes and the increasing prevalence of smart products create possibilities for new business models and services. Digital twins enable the collection of all required data about a smart product in order to make these possibilities a reality. This paper describes a flexible approach towards a digital product twin that is tightly integrated with existing product models while being lightweight and easy to integrate with existing IT solutions.

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Section: Exemplary Derivation Of Digital Twins For Availability-orien...mentioning

confidence: 99%

Approach for Developing Digital Twins of Smart Products Based on Linked Lifecycle Information

2022

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“…However, most of the proposed ILS data modeling methods are developed based on UML, and it is difficult for them to solve the semantic heterogeneity of ILS data. Metadata has great advantages in the expression of multivariate and heterogeneous data [23][24][25], and therefore using metadata technology is a feasible approach for constructing an ILS data model.…”

Section: Introductionmentioning

confidence: 99%

A Novel Unified Data Modeling Method for Equipment Lifecycle Integrated Logistics Support

Cui

Han

2022

Sensors

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Integrated logistics support (ILS) is of great significance for maintaining equipment operational capability in the whole lifecycle. Numerous segments and complex product objects exist in the process of equipment ILS, which gives ILS data multi-source, heterogeneous, and multidimensional characteristics. The present ILS data cannot satisfy the demand for efficient utilization. Therefore, the unified modeling of ILS data is extremely urgent and significant. In this paper, a unified data modeling method is proposed to solve the consistent and comprehensive expression problem of ILS data. Firstly, a four-tier unified data modeling framework is constructed based on the analysis of ILS data characteristics. Secondly, the Core unified data model, Domain unified data model, and Instantiated unified data model are built successively. Then, the expressions of ILS data in the three dimensions of time, product, and activity are analyzed. Thirdly, the Lifecycle ILS unified data model is constructed, and the multidimensional information retrieval methods are discussed. Based on these, different systems in the equipment ILS process can share a set of data models and provide ILS designers with relevant data through different views. Finally, the practical ILS data models are constructed based on the developed unified data modeling software prototype, which verifies the feasibility of the proposed method.

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Konzeption und Entwicklung eines integrierten Datenbackends für die industrielle Datenanalyse

Eickhoff,

Göbel,

Apostolov

et al. 2023

Industrielle Datenanalyse

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ZusammenfassungDie Verfügbarkeit relevanter Daten in den betreffenden Produktlebenszyklusphasen bildet eine notwendige Voraussetzung für die Durchführung industrieller Datenanalysen. Die individuelle Analysezielsetzung und die spezifischen Anforderungen des jeweiligen Anwendungsszenarios bestimmen essenzielle Randbedingungen für die technische Auslegung einer Datenanalyse-Umgebung. Ausgehend von den verschiedenen im Forschungsprojekt AKKORD analysierten Anwendungsfällen wurde ein modulares Vorgehensmodell entwickelt, das verschiedene Lösungsbausteine umfasst, um unterschiedliche Szenarien angemessen abbilden zu können. Dabei wird die Auswahl erforderlicher Lösungskomponenten und die Realisierung einer informationstechnischen Lösung durch einen an dem Cross-Industry Standard Process for Data Mining angelehnten Prozess unterstützt. Die abgedeckten Anwendungsszenarien schließen hierbei die dezentrale Vernetzung verschiedener Datenquellen ein, um die vorhandenen Datenquellen zu nutzen. Daneben wird der Aufbau eines zentralen Datenbackends für die integrierte Verwaltung aller relevanten Analysedaten ermöglicht. Um zusätzliche Flexibilität bei der Vorverarbeitung der Daten zu erreichen, wird als dritte Lösungskomponente ein Data-Warehouse-Ansatz eingesetzt. Für die in diesem Kapitel vorgestellten Datenbackend-Ansätze und Konzeptmodule wird weiterhin eine Entscheidungshilfe zur Auswahl der für einen spezifischen Anwendungsfall bestmöglichen Konfiguration vorgestellt. Abschließend werden Möglichkeiten für den Einsatz von Standardlösungen für den Aufbau des Datenbackends sowie für die Weitergabe der Daten an Analysemodule diskutiert und abgegrenzt.

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Supporting semantic PLM by using a lightweight engineering metadata mapping engine

Cited by 5 publications

References 12 publications

Approach for Developing Digital Twins of Smart Products Based on Linked Lifecycle Information

Approach for Developing Digital Twins of Smart Products Based on Linked Lifecycle Information

A Novel Unified Data Modeling Method for Equipment Lifecycle Integrated Logistics Support

Konzeption und Entwicklung eines integrierten Datenbackends für die industrielle Datenanalyse

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