Industrielle Anforderungen an Künstliche Intelligenz-Lösungen

Hoffmann, Martin W.; Drath, R.; Ganz, C.

doi:10.51202/9783181023754-617

Automation 2020 2020

DOI: 10.51202/9783181023754-617

|View full text |Cite

Industrielle Anforderungen an Künstliche Intelligenz-Lösungen

Martin W. Hoffmann¹,

R. Drath²,

C. Ganz³

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...

Citation Types

Supporting

Mentioning

Contrasting

Year Published

2021

Publication Types

Select...

Article1

Relationship

Self Cite0

Independent1

Authors

Journals

Cited by 1 publication

References 0 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

Developing Industrial CPS: A Multi-Disciplinary Challenge

Hoffmann¹,

Malakuti²,

Grüner³

et al. 2021

Sensors

View full text Add to dashboard Cite

Industrial Cyber–Physical System (CPS) is an emerging approach towards value creation in modern industrial production. The development and implementation of industrial CPS in real-life production are rewarding yet challenging. This paper aims to present a concept to develop, commercialize, operate, and maintain industrial CPS which can motivate the advance of the research and the industrial practice of industrial CPS in the future. We start with defining our understanding of an industrial CPS, specifying the components and key technological aspects of the industrial CPS, as well as explaining the alignment with existing work such as Industrie 4.0 concepts, followed by several use cases of industrial CPS in practice. The roles of each component and key technological aspect are described and the differences between traditional industrial systems and industrial CPS are elaborated. The multidisciplinary nature of industrial CPS leads to challenges when developing such systems, and we present a detailed description of several major sub-challenges that are key to the long-term sustainability of industrial CPS design. Since the research of industrial CPS is still emerging, we also discuss existing approaches and novel solutions to overcome these sub-challenges. These insights will help researchers and industrial practitioners to develop and commercialize industrial CPS.

show abstract

Developing Industrial CPS: A Multi-Disciplinary Challenge

Hoffmann¹,

Malakuti²,

Grüner³

et al. 2021

Sensors

View full text Add to dashboard Cite

show abstract

scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.

Contact Info

customersupport@researchsolutions.com

10624 S. Eastern Ave., Ste. A-614

Henderson, NV 89052, USA

This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.

Blog Terms and Conditions API Terms Privacy Policy Contact Cookie Preferences Do Not Sell or Share My Personal Information

Made with 💙 for researchers

Part of the Research Solutions Family.

Industrielle Anforderungen an Künstliche Intelligenz-Lösungen

Cited by 1 publication

References 0 publications

Developing Industrial CPS: A Multi-Disciplinary Challenge

Developing Industrial CPS: A Multi-Disciplinary Challenge

Contact Info

Product

Resources

About