Ship Intelligent Cabin Remote Monitoring Management Technology and Its Application

Authors

  • Wenzheng Liu

DOI:

https://doi.org/10.54097/rsqa4s22

Keywords:

Ships, Smart Cabin, Remote Monitoring, Fault Warning, Energy Efficiency Optimisation.

Abstract

Ship intelligent cabin remote monitoring and management technology significantly improves ship operation efficiency and safety by integrating sensor, communication and data analysis technologies. This paper analyzes its system architecture and application value, discusses technical challenges such as data security and communication stability, and proposes coping strategies such as standardisation and talent training to provide reference for the intelligent transformation of the shipping industry.

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References

[1] Yang Wanyong, et al. ‘Design and comprehensive evaluation of intelligent inspection system for ship engine room.’ Ship Science and Technology 47.08(2025):145-150.

[2] Wang SJ.’ Intelligent cabin application and development.’ China Ship Inspection .12(2024):61-65.

[3] Time Zhi, et al. ‘Intelligent ship cabin equipment health state assessment technology and application.’ Marine Engineering 53.05(2024):20-24.

[4] Luo J.’ An overview of intelligent nacelles for offshore vessels.’ Chemical Management .11(2024):1-3+26. doi:10.19900/j.cnki.ISSN1008-4800.2024.11.001.

[5] Chen, Z. J., et al. ‘Research and development of communication technology for edge computing system in ship cabin.’ Ship Science and Technology 46.04(2024):148-151.

[6] Guo Shengjiang,and Zheng Qingguo.’ Research on engine management of intelligent ships.’ Ship Engineering 45.04(2023):44-49+57. doi:10.13788/j.cnki.cbgc.2023.04.08.

[7] Jiang Xingjia, et al. ‘A migration learning based image detection method for ship cabin fire.’ Journal of Dalian Maritime University 49.01(2023):103-109+116. doi:10.16411/j.cnki.issn1006-7736.2023.01.011.

[8] Shi, Z. Y., et al. ‘Application and research of digital twin in ship cabin.’ Computer Applications and Software 39.12(2022):102-107+207.

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Published

20-06-2025

Issue

Section

Articles

How to Cite

Liu, W. (2025). Ship Intelligent Cabin Remote Monitoring Management Technology and Its Application. Academic Journal of Science and Technology, 15(3), 5-8. https://doi.org/10.54097/rsqa4s22