Revolutionizing Ship Maintenance with AI

The maritime industry is on the brink of a significant transformation. Korean Register (KR) has joined forces with Sinokor Merchant Marine and HD Hyundai Marine Solution (HD HMS) to innovate ship maintenance practices. This collaboration focuses on implementing condition-based maintenance (CBM) technology powered by artificial intelligence (AI). The project aims to enhance the monitoring and maintenance of vessels’ main engines and generators, marking a pivotal shift in maritime operations.

Advancements in Condition-Based Maintenance Technology

The partnership between KR, Sinokor, and HD HMS will deploy advanced CBM systems on two container ships operated by Sinokor. These vessels include an 1,800 TEU and an 8,000 TEU ship. This initiative leverages the unique strengths of each organization to create a more efficient maintenance process. Unlike traditional maintenance schedules, which can lead to unnecessary downtime and costs, CBM technology allows for real-time monitoring of equipment. This means that maintenance is performed only when it is truly needed, significantly reducing operational costs while improving the reliability of the vessels.

This innovative approach not only enhances operational efficiency but also represents a crucial step toward the digitalization and automation of shipping. KR has been at the forefront of developing core technologies for fault diagnosis and prognosis since 2017. The organization has been applying AI to critical ship machinery, including engines, generators, pumps, and switchboards. Their comprehensive work involves creating fault flowcharts, analyzing large datasets from experimental failures, and developing sophisticated AI models. To ensure that these technologies integrate seamlessly aboard vessels, KR has adopted Machine Learning Operations (MLOps) to provide full-lifecycle technical services.

KR approves LCO2 cargo tank design developed by Hyundai Mipo and HD KSOE

Collaborative Efforts for Future Maritime Operations

This joint project will see Sinokor providing maintenance history data, while HD HMS will contribute past operational data. KR will then develop big data analytics, AI algorithms, and software to implement this cutting-edge technology on real ships. KIM Daeheon, Executive Vice President of KR’s R&D Division, emphasized the significance of this project. He stated that applying CBM technology to ship engine rooms will lay a strong foundation for transforming vessel maintenance practices. Furthermore, it will facilitate the collection of big data, which is essential for advancing smart shipping technology.

Looking ahead, KR plans to expand the applications of CBM technology beyond just main engines and generators. Future developments may include low-flashpoint fuel supply systems and battery management. This comprehensive approach aims to create lifecycle technical services that will drive the future of maritime operations. As the industry evolves, the integration of AI and CBM technology will play a crucial role in enhancing efficiency, safety, and sustainability in shipping.