{"id":20994,"date":"2026-02-19T11:11:47","date_gmt":"2026-02-19T10:11:47","guid":{"rendered":"https:\/\/saitec-offshore.com\/?p=20994"},"modified":"2026-02-19T11:34:02","modified_gmt":"2026-02-19T10:34:02","slug":"mooria-project-artificial-intelligence-mooring-monitoring-floating-offshore-wind","status":"publish","type":"post","link":"https:\/\/saitec-offshore.com\/en\/mooria-project-artificial-intelligence-mooring-monitoring-floating-offshore-wind\/","title":{"rendered":"MoorIA Project: Artificial Intelligence for mooring monitoring in floating offshore wind"},"content":{"rendered":"\n
MoorIA is an innovative research project applying artificial intelligence (AI) to revolutionize maintenance in floating offshore wind platforms. Developed under the HAZITEK program, the project is led by INALIA Innovaci\u00f3n y Desarrollo in partnership with Saitec Offshore Technologies<\/strong>.<\/h5>\n\n\n\n

Floating offshore wind energy is a key driver of the global energy transition and decarbonization<\/strong>. However, its main current challenge lies in reducing operation and maintenance (O&M) costs<\/strong>.
The success of these platforms relies heavily on their mooring systems<\/strong> (chains, synthetic or steel cables), which are responsible for keeping the structure safely in position against harsh marine conditions.<\/p>\n\n\n\n

The reliability of these moorings is critical not only for safety <\/strong>but also for the economic viability<\/strong> of the wind farm. In fact, insurance companies and financial institutions require rigorous proof of these systems’ robustness before backing any project.<\/p>\n\n\n\n

Currently, mooring monitoring<\/strong> faces significant cost and durability limitations<\/strong>, often restricting its use to short-term prototypes. The industry urgently needs scalable, reliable, and low-maintenance solutions.<\/p>\n\n\n\n

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The MoorIA solution: SHM and deep learning<\/h3>\n\n\n\n

MoorIA was created to address this challenge. The project aims to develop new Structural Health Monitoring (SHM)<\/strong> tools powered by predictive artificial intelligence models.<\/p>\n\n\n\n

Unlike traditional methods that rely on direct measurements, which are complex and expensive to install on operating platforms, MoorIA uses an innovative approach: estimating mooring loads through indirect measurements<\/strong>. To achieve this, the system integrates:<\/p>\n\n\n\n

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