Open Journal Systems

Open Journal Systems

Digital Twins for the Sea: Building Resilient Intelligent Ship-Shore Remote Collaboration Systems

Yujie Liu(CSSC Heavy Industry (Qingdao) Marine Equipment Research Institute Co., Ltd.,Qingdao City, Shandong)
Lili Hu(CSSC Heavy Industry (Qingdao) Marine Equipment Research Institute Co., Ltd.,Qingdao City, Shandong)
Wentao Wang(CSSC Heavy Industry (Qingdao) Marine Equipment Research Institute Co., Ltd.,Qingdao City, Shandong)

Abstract

Abstract

As global maritime operations face increasing demands for safety, efficiency, and resilience, the need for intelligent, integrated solutions has never been more critical. Digital twins—virtual, data-driven replicas of physical ships—are emerging as transformative tools for enabling real-time monitoring, simulation, predictive analytics, and coordinated decision-making between shipboard systems and shore-based stakeholders. This paper explores the conceptual foundation and functional roles of digital twins within maritime contexts, emphasising their contribution to resilient ship-shore remote collaboration systems. With the help of the industry case studies and secondary data of companies like Rolls-Royce, Kongsberg Maritime, and the Port of Rotterdam, the paper can point out best practices and challenges behind the digital twin technology implementation. It says that digital twins are not only leading to the advancement of situational awareness and the reliability of operational reliability, but they are transforming the human-machine interface within the maritime ecosystem. The conclusion of the study presents some of the main enablers, policy-related considerations, and future scale-ups of digital twin adoption in global shipping.

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DOI: http://dx.doi.org/10.12345/jms.v6i2.30408

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