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2022 | OriginalPaper | Buchkapitel

21. Future Virtual Product Creation Solutions with New Engineering Capabilities

verfasst von : Rainer Stark

Erschienen in: Virtual Product Creation in Industry

Verlag: Springer Berlin Heidelberg

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Abstract

This chapter deals with the future capabilities and solutions of Virtual Product Creation. Based on the introduced new technical system requirements and opportunities in the previous chapter (Industrie 4.0 and IoT Technologies) this chapter provides answers how future digital engineering elements will look like as part of future Virtual Product Creation. The chapter starts with Model-based Systems Engineering (MBSE) and how it is connected by also different to Systems Engineering (SE). The theory and principles of MBSE are explained first before introducing the disciplines and the core elements of MBSE. Furthermore, the chapter explains the co-existence and interaction with the (classical) major technologies of Virtual Product Creation and describes examples of MBSE method and tools. It also adresses the challenge of introducing and integrating MBSE into industry. The second sub-chapter is devoted to the upcoming new key discipline of Virtual Product Creation, Data Engineering and Analytics (DEA). Here, the chapter introduces the eight disciplines of DEA and explains the connection to MBSE and AI. The third sub-chapter puts the focus on the new VPC capability called Digital Twin Engineering (DTE). The eight dimensions' model of Digital Twins and the design elements of Digital Twins are described with respect to the necessary engineering capabilities. The fourth sub-chapter deals with the fast-growing key VPC capability called Digital Platform Engineering (DPE) which includes new ways of distributed engineering as well as the new core technology streaming engineering. The fifth sub-chapter provides an insight how human skills for future Virtual Product Creation needs to be shaped and trained. The closing sub-chapter explains the Engineering System of the Future: new Engineering Intelligence levels and new/modified Engineering Principles are explained.

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Vorheriges Kapitel Industrie 4.0 and IoT Technologies

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The Unified Modeling language (UML) is another standard of the Object Management Group (OMG). It is agraphical modeling with focus on Software Engineering. In the current version of SysML (v1.6), UML forms the foundation for SysML. In the currently developed standard v2 of SysML, a new foundation will be used and UML might become a domain specific language (DSL) for the Software domain again.

The Object-Process Methodology (OPM) is combination of modeling languages and a methodology for modeling different systems, mainly automation system. It is standardized as ISO/PAS 19,450. It comprises a graphical modeling language, which uses Object-Process Diagrams (OPD) and a textual expression in form of the Object-Process Language (OPL). It is mainly used to describe objects and their transformation or use by processes.

The initiative Open Services for Lifecycle Collaboration (OSLC) aims at providing standardized interfaces between different applications to connect application data. It is based on the Representational State Transfer (REST) software paradigm used in web applications. Specifications are defined for the core of OSLC and different domains like PLM, ALM or Requirements Management. It misses, however, semantic and parametric interactions with domain specific engineering models such as CAD, CAE and mathematical models.

The Specification Integration Facility (SpecIF) aims at a more artifact-centered exchange instead of a document-centered exchange. Its core is the extraction of semantic information of each model and thus the combination of different forms of models on semantic level.

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Object Process Methodology (OPM) is a conception modeling language and methodology for capturing knowledge and designing systems, specified as ISO/PAS 19,450.

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In 2020 the Industrial Digtal Twin Association (IDTA) has been founded in order to standardize digital standards for Digital Twins: https://idtwin.org/en/.

Please compare Chap. 20 for the IoT protocol explanations.

Meanwhil NoSQL (“No” or “not only” Structured Query Language) data bases are designed for rapid data acquisition and storage capabilities which make them preferrable within edge networks. They are non-tabular, and store data differently than relational tables. NoSQL databases come in a variety of types based on their data model. The main types are document, key-value, wide-column, and graphs. They provide flexible schemas and scale easily with large amounts of data and high user loads and need special mechanisms to ensure database integrity.

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The technology of transmitting audio and video files in a continuous flow over a wired or wireless internet connection. Streaming services, therefore, have a high need on network bandwith and latency requirements for dynamic interactions.

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Titel: Future Virtual Product Creation Solutions with New Engineering Capabilities
verfasst von: Rainer Stark
Verlag: Springer Berlin Heidelberg
Buch: Virtual Product Creation in Industry
Print ISBN: 978-3-662-64299-3

Electronic ISBN: 978-3-662-64301-3

Copyright-Jahr: 2022
DOI: https://doi.org/10.1007/978-3-662-64301-3_21

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