Skip to main content

Advertisement

SpringerLink
Log in

Research on digital production technology for traditional manufacturing enterprises based on industrial Internet of Things in 5G era

  • ORIGINAL ARTICLE
  • Published:
The International Journal of Advanced Manufacturing Technology Aims and scope Submit manuscript

Abstract

Based on the analysis of 5G and Internet of Things technology, this paper proposes the reference architecture of smart factory and its application path for traditional manufacturing enterprises in China, in which the intelligent manufacturing workshop is the core component of smart factory. The Internet of Things technology combined the advanced technologies (Industrial Big Data, WSN, RFID, Cloud Computing Platform) and provides hardware network foundation and technical theory for designing the real-time tracking and monitoring system of intelligent workshop products. The developed system has the advantages of low cost, rapid deployment, and convenient expansion, which traditional manufacturing enterprises realize intelligent management based on IoT application platform.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Log in via an institution

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Institutional subscriptions

Fig. 1
Fig. 2
Fig. 3
Fig. 4
Fig. 5
Fig. 6
Fig. 7
Fig. 8
Fig. 9
Fig. 10
Fig. 11
Fig. 12

Similar content being viewed by others

References

  1. Machado CG, Winroth M, Carlsson D, Almström P, Centerholt V, Hallin M (2019) Industry 4.0 readiness in manufacturing companies: challenges and enablers towards increased digitalization. Procedia CIRP 81:1113–1118

    Article  Google Scholar 

  2. Chen B, Wan J, Lei S, Peng L, Mukherjee M, Yin B (2018) Smart factory of industry 4.0: key technologies, application case, and challenges. IEEE Access 6(99):6505–6519

    Article  Google Scholar 

  3. Geissbauer R, Vedso J, Stefan S. (2016) Industry 4.0: building the digital enterprise. PwC NL, 2016 Global Industry Survey

  4. Chien CF, Hong TY, Guo HZ (2017) An empirical study for smart production for TFT-LCD to empower industry 3.5. J Chin Inst Eng 40(7):552–561

    Article  Google Scholar 

  5. Tehrani M, Uysal M, Yanikomeroglu H (2014) Device-to-device communication in 5G cellular networks: challenges, solutions, and future directions. IEEE Commun Mag 52(5):86–92

    Article  Google Scholar 

  6. Palattella M, Dohler M, Grieco A, Rizzo G, Torsner J, Engel T, Ladid L (2016) Internet of things in the 5G era: enablers, architecture and business models. IEEE J Sel Areas Commun 34(3):510–527

    Article  Google Scholar 

  7. Westerman G, Tannou M, Bonnet D, Ferraris P, McAfee A. (2012) The digital advantage: how digital leaders outperform their peers in every industry. MIT Center for Digital Business and Capgemini Consulting

  8. Shellshear E, Berlin R, Carlson JS (2015) Maximizing smart factory systems by incrementally updating point clouds. IEEE Compute Graph Appl 35(2):62–69

    Article  Google Scholar 

  9. Bandyopadhyay D, Sen J (2011) Internet of things: applications and challenges in technology and standardization. Wirel Pers Commun 58(1):49–69

    Article  Google Scholar 

  10. Duan Q, Zeng J, Chakrabarty K, Dispoto G (2015) Real-time production scheduler for digital-print-service providers based on a dynamic incremental evolutionary algorithm. IEEE Trans Autom Sci Eng 12(2):701–715

    Article  Google Scholar 

  11. Wang XW (2014) Big data drives manufacturing towards intelligence. Internet Things Technol 12:7–8

    Google Scholar 

  12. Dayal U, Gupta C, Vennelakanti R et al (2014) An approach to benchmarking industrial big data applications. WBDB2014, August. Springer International Publishing, Potsdam, pp 45–60

    Google Scholar 

  13. Koustabh D, Kanti DS (2017) Comparison of edge computing implementations: fog computing, cloudlet and mobile edge computing. IEEE 2017 Global Internet of Things Summit (GIoTS), Geneva, pp 1–6

    Google Scholar 

  14. Bonomi F, Milito R, Zhu J, Addepalli S (2012) Fog computing and its role in the internet of things. Proceedings of the first edition of the MCC workshop on Mobile cloud computing. ACM 13–16

  15. Condoluci M, Dohler M, Araniti G, Molinaro A, Zheng K (2015) Toward 5G dense nets: architectural advances for effective machine-type communications over femtocells. IEEE Commun Mag 53(1):134–141

    Article  Google Scholar 

  16. Jung K, Choi SS, Kulvatunyou B, Cho H, Morris KC (2017) A reference activity model for smart factory design and improvement. Prod Plan Control 28(2):108–122

    Article  Google Scholar 

  17. Agiwal M, Saxena N, Roy A (2019) Towards connected living: 5G enabled Internet of Things (IoT). IETE Tech Rev 36(2):190–202

    Article  Google Scholar 

  18. Wang F-Y (2013) The destiny: towards knowledge automation-preface of the special issue for the 50th anniversary of Acta Automatica Sinica. Acta Automat Sin 39(11):1741–1743

    Article  Google Scholar 

  19. Chen G, Wang C, Liang Z, Arinez J, Xiao G (2016) Transient performance analysis of serial production lines with geometric machines. IEEE Trans Autom Control 61(4):877–891

    Article  MathSciNet  Google Scholar 

  20. Silva GCD, Kaminski PC (2015) Application of digital factory concepts to optimise and integrate inventories in automotive pre-assembly areas. Int J Comput Integr Manuf 28(6):607–615

    Article  Google Scholar 

  21. Bonomi F (2011) Connected vehicles, the internet of things, and fog computing. In The eighth ACM international workshop on vehicular inter-networking (VANET), Las Vegas, USA, pp. 13–15

  22. Choi SS, Bo HK, Sang DN (2015) A diagnosis and evaluation method for strategic planning and systematic design of a virtual factory in smart manufacturing systems. Int J Precis Eng Manuf 16(6):1107–1115

    Article  Google Scholar 

  23. Weyer S, Meyer T, Ohmer M, Gorecky D, Zühlke D (2016) Future modeling and simulation of cps-based factories: an example from the automotive industry. IFAC Papers Online 49(31):97–102

    Article  Google Scholar 

  24. Liu Y, Feng M, Li Y (2019) Data analysis with python: principal and practice. Tsinghua University Press. ISBN: 9787302515791

  25. Sun Y, Lin F, Xu H (2018) Multi-objective optimization of resource scheduling in fog computing using an improved NSGA-II. Wirel Pers Commun 102(2):1369–1385

    Article  Google Scholar 

  26. Datta SK, Bonnet C, Haerri J (2015) Fog computing architecture to enable consumer centric internet of things services. 2015 International Symposium on Consumer Electronics (ISCE), 1–6

  27. Lyu X, Ni W, Tian H, Liu RP, Wang X, Giannakis GB, Paulraj A (2017) Optimal scheduling of mobile edge computing for internet of things using partial information. IEEE J Sel Areas Commun 35(11):2606–2615

    Article  Google Scholar 

Download references

Funding

This work is supported by the Zhejiang Provincial Natural Science Foundation of China (Grant Nos. LY18G020009, LQ17D010005) and the National Natural Science Foundation of China (Grant Nos. 71831006, 71804038).

Author information

Authors and Affiliations

  1. Management School, Hangzhou Dianzi University, Hangzhou, 310018, Zhejiang Province, China

    Yi Liu, KaiDi Tong, Feng Mao & Jie Yang

  2. The Research Center of Information Technology & Economic and Social Development, Hangzhou Dianzi University, Hangzhou, 310018, Zhejiang Province, China

    Yi Liu

Authors
  1. Yi Liu
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. KaiDi Tong
    View author publications

    You can also search for this author in PubMed Google Scholar

  3. Feng Mao
    View author publications

    You can also search for this author in PubMed Google Scholar

  4. Jie Yang
    View author publications

    You can also search for this author in PubMed Google Scholar

Corresponding author

Correspondence to Yi Liu.

Additional information

Publisher’s note

Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Rights and permissions

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Liu, Y., Tong, K., Mao, F. et al. Research on digital production technology for traditional manufacturing enterprises based on industrial Internet of Things in 5G era. Int J Adv Manuf Technol 107, 1101–1114 (2020). https://doi.org/10.1007/s00170-019-04284-y

Download citation

  • Received:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s00170-019-04284-y

Keywords

Search

Navigation