Remote Intelligence at Sea: Enabling Smart Vessel Operations through AI-Driven Monitoring and Control

Mo Zhou(CSSC Heavy Industry (Qingdao) Marine Equipment Research Institute Co., Ltd.,Qingdao City, Shandong)
Jiaojiao Sun(CSSC Heavy Industry (Qingdao) Marine Equipment Research Institute Co., Ltd.,Qingdao City, Shandong)
Liang Yin(CSSC Heavy Industry (Qingdao) Marine Equipment Research Institute Co., Ltd.,Qingdao City, Shandong)

Abstract

The maritime industry is undergoing a technological transformation driven by the integration of artificial intelligence (AI) into shipboard operations. This article discusses the topic of remote intelligence in the ocean, which implies the use of AI applications on a ship to receive autonomous control over the shipboard conditions, failure forecasting, and regulation of critical operations. Through machine learning, sensor data, and edge computing, smart vessels will need less support on the shore, and will be able to increase their efficiency, safety, and resilience of their operations. Using secondary sources of data and documented case studies, the study analyses the functionality of AI in maritime environments such as condition monitoring, predictive maintenance, energy optimization, and autonomous navigation. It also reveals the major challenges, including restriction of technology, cybersecurity threat, absence of regulations and organizational resistance. The paper ends on the note that the industry will have to work together, that regulation must be innovated, and people and AI must fuse to get the most out of intelligent vessel operation.

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DOI: http://dx.doi.org/10.12345/jms.v7i1.30409