Toward Fully Digitalized Vessel Operations: Architecture, Technologies, and Operational Transformation

Authors

  • Amrith Jayakumar

Keywords:

Digital Vessel, Digital Twin, Maritime IoT, Predictive Maintenance, Artificial Intelligence, Machine Learning, Vessel Monitoring System

Abstract

Maritime digitalization is growing and has thus generated a demand for intelligent monitoring of vessels that canmake them more efficient, safe and predictive. The research presented in this paper introduces a digital vessel framework that combines synthetic operational data production with AI models and Digital Twin technology. A set of5,000 records representing variables such as engine performance, fuel usage,

References

[1] Sullivan, B.P., Desai, S., Sole, J., Rossi, M., Ramundo, L. and Terzi, S., 2020. Maritime 4.0 opportunities in digitalization and advanced manufacturing for vessel development. Procedia manufacturing, 42, pp.246-253.

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Published

2024-08-15

How to Cite

Amrith Jayakumar. (2024). Toward Fully Digitalized Vessel Operations: Architecture, Technologies, and Operational Transformation. Journal of Computational Analysis and Applications (JoCAAA), 33(08), 7928–7938. Retrieved from https://eudoxuspress.com/index.php/pub/article/view/5868

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Section

Articles