Skip to main content
Log in

Research on ship intelligent manufacturing data monitoring and quality control system based on industrial Internet of Things

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

Abstract

The paper analyzes several key technologies of data monitoring and quality control system based on the Internet of Things technology from the perspective of system integration, including Web database access, real-time display of dynamic data, dynamic drawing of curves, etc., and gives technical difficulties. Routes and improvements have solved the problems of the system in terms of real time and security. The Zigbee wireless sensor network is used as the data acquisition end, and the server receives the data collected by the wireless sensor network through the serial communication to connect the CC2530 wireless communication module. At the same time, the paper combines the actual needs of users, and designs the server system according to the software engineering development process. While realizing the normal PC browser access to the server, the Android application of the mobile terminal is developed and the mobile is realized. In terminal access to the server, users can access the server by accessing computers on the network and mobile phones with Android systems. Viewing the running status of the device, authorized users can also make judgments based on real-time data and can send control commands and adjust the environment.

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

Access this article

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

Instant access to the full article PDF.

Fig. 1
Fig. 2
Fig. 3
Fig. 4
Fig. 5
Fig. 6
Fig. 7
Fig. 8

Similar content being viewed by others

References

  1. Ding G, Wu Q, Zhang L, Yun L, Tsiftsis TA, Yao YD (2018) An amateur drone surveillance system based on the cognitive internet of things. IEEE Commun Mag 56(1):29–35

    Article  Google Scholar 

  2. Kokkonis G, Psannis KE, Roumeliotis M, Dan S (2017) Real-time wireless multisensory smart surveillance with 3d-hevc streams for internet-of-things (iot). J Supercomput 73:3): 1–3):19

    Article  Google Scholar 

  3. Park DH, Min OG, Lee YJ (2017) Scalable architecture for an automated surveillance system using edge computing. J Supercomput 73(3):1–14

    Article  Google Scholar 

  4. Harm G, Marlene A, Torkild E, Vincenzo G (2016) Completeness and accuracy of a wide-area maritime situational picture based on automatic ship reporting systems. J Navig 69(1):156–168

    Article  Google Scholar 

  5. Goerlandt F, Montewka J, Kuzmin V, Kujala P (2015) A risk-informed ship collision alert system: framework and application. Saf Sci 77(1):182–204

    Article  Google Scholar 

  6. Zhang J, Gold KA, Lin HY, Swisher SG, Xing Y, Lee JJ, Kim ES, William WN Jr (2015) Relationship between tumor size and survival in non-small-cell lung cancer (nsclc): an analysis of the surveillance, epidemiology, and end results (seer) registry. J Thorac Oncol 10(4):682–690

    Article  Google Scholar 

  7. Kay S, Bo Z, Sui D (2015) Can social media clear the air? a case study of the air pollution problem in chinese cities. Prof Geogr 67(3):351–363

    Article  Google Scholar 

  8. Pelich R, Longépé N, Mercier G, Hajduch G, Garello R (2016) Ais-based evaluation of target detectors and sar sensors characteristics for maritime surveillance. IEEE J Sel Top Appl Earth Obs Remote Sens 8(8):3892–3901

    Article  Google Scholar 

  9. Martin AJ, Wellen JM, Grimmer MR (2016) An eye on your work: how empowerment affects the relationship between electronic surveillance and counterproductive work behaviours. Int J Hum Resour Manag 27(21):1–17

    Article  Google Scholar 

  10. Zhang H, Liu Y, Ji Y, Wang L, Zhang J (2016) Multi-feature maximum likelihood association with space-borne sar, hfswr and ais. J Navig 70(2):359–378

    Article  Google Scholar 

  11. Cabrera F, Molina N, Tichavska M, Araña V (2016) Automatic identification system modular receiver for academic purposes. Radio Sci 51(7):1038–1047

    Article  Google Scholar 

  12. Jarosek SL, Shippee TP, Virnig BA (2016) Place of death of individuals with terminal cancer: new insights from medicare hospice place-of-service codes. J Am Geriatr Soc 64(9):1815–1822

    Article  Google Scholar 

  13. Wang Y, Zhang Z, Ning L, Feng H, Fan H, Wang X (2017) Maritime surveillance with undersampled sar. IEEE Geosci Remote Sens Lett 14(8):1423–1427

    Article  Google Scholar 

  14. Li Z, Tang Z, Yang Y (2016) Research on architecture of security video surveillance network cascade system with big data. World J Eng 13(1):77–81

    Article  Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Chao Xiang.

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

Xiang, C., Li, B. Research on ship intelligent manufacturing data monitoring and quality control system based on industrial Internet of Things. Int J Adv Manuf Technol 107, 983–992 (2020). https://doi.org/10.1007/s00170-019-04208-w

Download citation

  • Received:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s00170-019-04208-w

Keywords

Navigation