Your crew, teamed with Artificial Intelligence

Every Journey is an Opportunity

Machine Learning algorithms continuously monitor and analyse vessel data to recommend settings for crew to action and provide performance feedback in real-time. Crew receive recommended settings via bridge displays to improve fuel consumption, passenger comfort and on-time arrival.
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Each recommendation is based on sophisticated algorithms that model the ship’s predicted fuel and passenger comfort performance over the course of a journey. Hundreds of hours of real-world vessel data, combined with Austal’s unique understanding as the ship designer of your ships characteristics, are used to generate the recommendations.
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MARINELINK-Smart is updated remotely as new advice modules are released by Austal, further improving your return on investment over time.

Real-time On-board AdviCE

Machine Learning algorithms continuously monitor and analyse vessel data to recommend settings, parameters and feedback for crew to action in real-time. Crew are able to obtain recommended settings via tablets on the bridge to improve fuel consumption, passenger comfort and on-time arrival. More features are currently in development.

Motions Advice

Settings for the ship's Motion Control System to improve passenger comfort and reduce sickness.

Motions Feedback

Passenger sickness and comfort metrics updated throughout the journey, calculated to industry standards.

Trim Advice

Adjust ballast tanks, interceptor or trim tabs to improve fuel efficiency.

Speed Advice

Set shaft RPM to optimise fuel efficiency and ensure on-time arrival.

Crew Journey Reports

Empower your crew with comparative data on their fuel, schedule and comfort performance.

See The Tablet in Action

A full overview of the MARINELINK-Smart tablet in the video below.
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How fred Olsen improved their fuel efficiency by 4.5%

As part of Austal’s collaboration in the development of MARINELINK-Smart with Fred Olsen Express, Austal installed MARINELINK-Smart onto the 66m Catamaran Bocayna Express, built by Austal in 2003. 

Between September 2019 and February 2020 Bocayna Express conducted over 1,500 individual journeys between Lanzarote and Fuerteventura (a roughly 8nm route).
Results:

  • Saved 2% on fuel by advising crew with optimum interceptor settings.
  • Saved 4% on fuel by advising crew on optimum static trim.
  • Saved 4.5% on fuel by advising on both optimum static trim and interceptor.
Download Full Case Study 
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