Skip to main content
Top
Published in: Optical and Quantum Electronics 1/2024

01-01-2024

Application of optical network transmission based on 5G network in knowledge management of digital factories

Authors: Li Zifei, Li Zoujian, Ren Yuheng

Published in: Optical and Quantum Electronics | Issue 1/2024

Log in

Activate our intelligent search to find suitable subject content or patents.

search-config
loading …

Abstract

As the best integration point to integrate information technology and manufacturing technology, the digital factory is the basis for the intelligent transformation of manufacturing companies. This article will discuss how to build it and discuss the digital world. When companies develop, integrate, share, apply and update different knowledge, create more added value and benefits, and make significant contributions to the sustainable development of knowledge management companies, they pay more and more attention to improving their own competitiveness. Therefore, this article proposes a method to improve knowledge management based on the actual situation of the enterprise, and proposes a strategy for recent development. In the knowledge management applications of the digital factory, the high-speed transmission and processing of data becomes crucial. But the traditional network technology has been unable to meet the increasing demand for data. This paper explores the potential application and advantages of optical network transmission based on 5G network in the application of knowledge management in digital factory, studies the optical network transmission technology based on 5G network, and discusses its feasibility and advantages in the application of knowledge management in digital factory. The study found that the optical network transmission technology based on 5G network can greatly improve the data transmission speed and bandwidth, and meet the needs of digital factories for efficient data transmission. Optical network transmission technology also has the advantages of low latency, high reliability and low energy consumption.

Dont have a licence yet? Then find out more about our products and how to get one now:

Springer Professional "Technik"

Online-Abonnement

Mit Springer Professional "Technik" erhalten Sie Zugriff auf:

  • über 67.000 Bücher
  • über 390 Zeitschriften

aus folgenden Fachgebieten:

  • Automobil + Motoren
  • Bauwesen + Immobilien
  • Business IT + Informatik
  • Elektrotechnik + Elektronik
  • Energie + Nachhaltigkeit
  • Maschinenbau + Werkstoffe




 

Jetzt Wissensvorsprung sichern!

Springer Professional "Wirtschaft+Technik"

Online-Abonnement

Mit Springer Professional "Wirtschaft+Technik" erhalten Sie Zugriff auf:

  • über 102.000 Bücher
  • über 537 Zeitschriften

aus folgenden Fachgebieten:

  • Automobil + Motoren
  • Bauwesen + Immobilien
  • Business IT + Informatik
  • Elektrotechnik + Elektronik
  • Energie + Nachhaltigkeit
  • Finance + Banking
  • Management + Führung
  • Marketing + Vertrieb
  • Maschinenbau + Werkstoffe
  • Versicherung + Risiko

Jetzt Wissensvorsprung sichern!

Springer Professional "Wirtschaft"

Online-Abonnement

Mit Springer Professional "Wirtschaft" erhalten Sie Zugriff auf:

  • über 67.000 Bücher
  • über 340 Zeitschriften

aus folgenden Fachgebieten:

  • Bauwesen + Immobilien
  • Business IT + Informatik
  • Finance + Banking
  • Management + Führung
  • Marketing + Vertrieb
  • Versicherung + Risiko




Jetzt Wissensvorsprung sichern!

Literature
go back to reference Ayadi, M., Affonso, R.C., Cheutet, V., et al.: Info sim: prototyping an information system for digital factory management. Concurr. Eng. 23(4), 355–364 (2015)CrossRef Ayadi, M., Affonso, R.C., Cheutet, V., et al.: Info sim: prototyping an information system for digital factory management. Concurr. Eng. 23(4), 355–364 (2015)CrossRef
go back to reference Chandra Sekaran, S., Yap, H.J., Musa, S.N., et al.: The implementation of virtual reality in digital factory—a comprehensive review. Int. J. Adv. Manuf. Technol. 115(5), 1349–1366 (2021)CrossRef Chandra Sekaran, S., Yap, H.J., Musa, S.N., et al.: The implementation of virtual reality in digital factory—a comprehensive review. Int. J. Adv. Manuf. Technol. 115(5), 1349–1366 (2021)CrossRef
go back to reference Ciavotta, M., Alge, M., Menato, S., et al.: A microservice-based middleware for the digital factory. Proc. Manuf. 11, 931–938 (2017) Ciavotta, M., Alge, M., Menato, S., et al.: A microservice-based middleware for the digital factory. Proc. Manuf. 11, 931–938 (2017)
go back to reference Khanagar, S.B., Al-Ehaideb, A., Maganur, P.C., et al.: Developments, application, and performance of artificial intelligence in dentistry—a systematic review. J. Dent. Sci. 16(1), 508–522 (2021)CrossRefPubMed Khanagar, S.B., Al-Ehaideb, A., Maganur, P.C., et al.: Developments, application, and performance of artificial intelligence in dentistry—a systematic review. J. Dent. Sci. 16(1), 508–522 (2021)CrossRefPubMed
go back to reference Lasi, H.: Industrial intelligence-a business intelligence-based approach to enhance manufacturing engineering in industrial companies. Proc. CIRP 12, 384–389 (2013)CrossRef Lasi, H.: Industrial intelligence-a business intelligence-based approach to enhance manufacturing engineering in industrial companies. Proc. CIRP 12, 384–389 (2013)CrossRef
go back to reference Li, T., Li, R., Li, J.: Decentralized adaptive neural control of nonlinear interconnected large-scale systems with unknown time delays and input saturation. Neurocomputing 74(14–15), 2277–2283 (2011)CrossRef Li, T., Li, R., Li, J.: Decentralized adaptive neural control of nonlinear interconnected large-scale systems with unknown time delays and input saturation. Neurocomputing 74(14–15), 2277–2283 (2011)CrossRef
go back to reference Li, R., Zhao, Z., Zhou, X., et al.: Intelligent 5G: when cellular networks meet artificial intelligence. IEEE Wirel. Commun. 24(5), 175–183 (2017)CrossRef Li, R., Zhao, Z., Zhou, X., et al.: Intelligent 5G: when cellular networks meet artificial intelligence. IEEE Wirel. Commun. 24(5), 175–183 (2017)CrossRef
go back to reference Majumdar, S.N., Pal, A., Schehr, G.: Extreme value statistics of correlated random variables: a pedagogical review. Phys. Rep. 840, 1–32 (2020)MathSciNetCrossRefADS Majumdar, S.N., Pal, A., Schehr, G.: Extreme value statistics of correlated random variables: a pedagogical review. Phys. Rep. 840, 1–32 (2020)MathSciNetCrossRefADS
go back to reference Marwa, B., Mohamed, A., Ikbal, M., et al.: KSim: an information system for knowledge management in digital factory. Concurr. Eng. 25(4), 303–315 (2017)CrossRef Marwa, B., Mohamed, A., Ikbal, M., et al.: KSim: an information system for knowledge management in digital factory. Concurr. Eng. 25(4), 303–315 (2017)CrossRef
go back to reference Mischen, P.A.: Collaborative network capacity. Public Manag. Rev. 17(3), 380–403 (2015)CrossRef Mischen, P.A.: Collaborative network capacity. Public Manag. Rev. 17(3), 380–403 (2015)CrossRef
go back to reference Shamsuzzoha, A., Toshev, R., Vu Tuan, V., et al.: Digital factory-virtual reality environments for industrial training and maintenance. Interact. Learn. Environ. 29(8), 1339–1362 (2021)CrossRef Shamsuzzoha, A., Toshev, R., Vu Tuan, V., et al.: Digital factory-virtual reality environments for industrial training and maintenance. Interact. Learn. Environ. 29(8), 1339–1362 (2021)CrossRef
go back to reference Shariatzadeh, N., Lundholm, T., Lindberg, L., et al.: Integration of digital factory with smart factory based on Internet of Things. Proc. Cirp 50, 512–517 (2016)CrossRef Shariatzadeh, N., Lundholm, T., Lindberg, L., et al.: Integration of digital factory with smart factory based on Internet of Things. Proc. Cirp 50, 512–517 (2016)CrossRef
go back to reference Wang, C.X., Di Renzo, M., Stanczak, S., et al.: Artificial intelligence enabled wireless networking for 5G and beyond: recent advances and future challenges. IEEE Wirel. Commun. 27(1), 16–23 (2020)CrossRef Wang, C.X., Di Renzo, M., Stanczak, S., et al.: Artificial intelligence enabled wireless networking for 5G and beyond: recent advances and future challenges. IEEE Wirel. Commun. 27(1), 16–23 (2020)CrossRef
go back to reference Wei, Q., Liu, D., Liu, Y., et al.: Optimal constrained self-learning battery sequential management in microgrid via adaptive dynamic programming. IEEE/CAA J. Autom. Sin. 4(2), 168–176 (2016)MathSciNetCrossRef Wei, Q., Liu, D., Liu, Y., et al.: Optimal constrained self-learning battery sequential management in microgrid via adaptive dynamic programming. IEEE/CAA J. Autom. Sin. 4(2), 168–176 (2016)MathSciNetCrossRef
go back to reference Yang, L., Yang, S.H., Plotnick, L.: How the internet of things technology enhances emergency response operations. Technol. Forecast. Soc. Chang. 80(9), 1854–1867 (2013)CrossRef Yang, L., Yang, S.H., Plotnick, L.: How the internet of things technology enhances emergency response operations. Technol. Forecast. Soc. Chang. 80(9), 1854–1867 (2013)CrossRef
Metadata
Title
Application of optical network transmission based on 5G network in knowledge management of digital factories
Authors
Li Zifei
Li Zoujian
Ren Yuheng
Publication date
01-01-2024
Publisher
Springer US
Published in
Optical and Quantum Electronics / Issue 1/2024
Print ISSN: 0306-8919
Electronic ISSN: 1572-817X
DOI
https://doi.org/10.1007/s11082-023-05720-w

Other articles of this Issue 1/2024

Optical and Quantum Electronics 1/2024 Go to the issue