The demands for marine automation systems have increased due to new requirements concerning vessel performance, energy efficiency and operational safety. The core competences within LINK-SIC are central when providing new solutions to these challenges.
Marine vessels are equipped with various sensor systems and a central problem is to extract useful information from the sensor signals, including properties that cannot be measured directly during normal operation. Hence, sensor fusion and data-driven modeling for marine vessels are studied within LINK-SIC and the developed methods can be used to obtain information about the state variables of a ship as well as the loading conditions. This makes it possible to optimize the maneuvering of the ship and to detect possible problems such as load shifts, damages, and suboptimal ballasting.
Marine vessels are equipped with various sensor systems and a central problem is to extract useful information from the sensor signals, including properties that cannot be measured directly during normal operation. Hence, sensor fusion and data-driven modeling for marine vessels are studied within LINK-SIC and the developed methods can be used to obtain information about the state variables of a ship as well as the loading conditions. This makes it possible to optimize the maneuvering of the ship and to detect possible problems such as load shifts, damages, and suboptimal ballasting.
