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28 September 2020 Design of an Intelligent Marine Ship Lighting Power Detection System Based on Internet of Things
Xiuwei Fu, Xiaoming Xu, Kunpeng Wang
Author Affiliations +
Abstract

Fu, X.; Xu, X., and Wang, K., 2020. Design of an intelligent marine ship lighting power detection system based on Internet of things. In: Yang, D.F. and Wang, H. (eds.), Recent Advances in Marine Geology and Environmental Oceanography. Journal of Coastal Research, Special Issue No. 108, pp. 144–150. Coconut Creek (Florida), ISSN 0749-0208.

The marine ship lighting system is a significant unit of navigation to improve the safety of the crew. The traditional oceangoing voyage lighting power system has low efficiency, delays in troubleshooting times, and high energy consumption in the detection of fault points. Based on the Internet of Things (IoT) and automation, the authors proposed an intelligent lighting power detection method to ensure the safe, efficient, and stable operation of the oceangoing voyage. Specifically, in the distinct lighting and dynamic circuit multifault environment of the oceangoing voyage, the illumination detection time limit of a traditional lighting power system and the proposed intelligent lighting system were compared; the current and voltage values of the intelligent lighting system were measured and analyzed. This method proved to be effective in detecting a variety of faults of an oceangoing voyage lighting system and has fast and stable performance as well as high accuracy. Therefore, the proposed method can effectively avoid unexpected accidents caused by power lighting failures and improve the green energy-saving performance of oceangoing voyage lighting systems.

©Coastal Education and Research Foundation, Inc. 2020
Xiuwei Fu, Xiaoming Xu, and Kunpeng Wang "Design of an Intelligent Marine Ship Lighting Power Detection System Based on Internet of Things," Journal of Coastal Research 108(sp1), 144-150, (28 September 2020). https://doi.org/10.2112/JCR-SI108-029.1
Received: 13 February 2020; Accepted: 24 April 2020; Published: 28 September 2020
KEYWORDS
automation technology
internet of things
lighting electricity detection
ship power
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