Developing Industrial CPS: A Multi-Disciplinary Challenge.
artificial intelligence
cyber–physical system
digital twin
industrial AI
industrie 4.0
operator support
powertrain
process industry
robotics
sensors
switchgear
Journal
Sensors (Basel, Switzerland)
ISSN: 1424-8220
Titre abrégé: Sensors (Basel)
Pays: Switzerland
ID NLM: 101204366
Informations de publication
Date de publication:
11 Mar 2021
11 Mar 2021
Historique:
received:
31
01
2021
revised:
28
02
2021
accepted:
02
03
2021
entrez:
3
4
2021
pubmed:
4
4
2021
medline:
4
4
2021
Statut:
epublish
Résumé
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.
Identifiants
pubmed: 33799891
pii: s21061991
doi: 10.3390/s21061991
pmc: PMC7998403
pii:
doi:
Types de publication
Journal Article
Langues
eng
Sous-ensembles de citation
IM
Subventions
Organisme : Bundesministerium für Bildung und Forschung
ID : 03El6012A
Organisme : Bundesministerium für Bildung und Forschung
ID : 01IS19022B
Organisme : Horizon 2020
ID : 737459
Références
Sensors (Basel). 2020 Apr 08;20(7):
pubmed: 32276442