Skip to main content

 

 

JAPANESE TRIO FOCUS ON THE DIGITAL TWIN

Tuesday, October 16, 2018 

Japanese companies Mitsui O.S.K. Lines, Mitsui E&S Shipbuilding and Weathernews Inc have joined forces in a research project aimed at gathering and applying ship operational data to create a safer, more environmentally-focused range of vessels.

In what marks a step forward in the development of information and communication technology, the FOCUS (Fleet Optimal Control Unified System) project will open up new possibilities for ICT applications aboard vessels. A core aspect of the project will be to promote the ship and shore-based use and application of ICT.

Detailed voyage and engine data on actual voyages will be collected from about 150 vessels in operation and stored in a cloud-based data platform to develop applications for advanced ship operation monitoring and propulsion performance analysis that draws upon all three companies' technology and know-how. The project will further enhance safe operation and reduce environmental impact through user-friendly applications, which will further deepen cooperation between vessels and shore-based facilities.

Through FOCUS, the three companies strive to develop more effective applications, which use actual operational data, such as Condition Based Maintenance. The intended result is to create a “visualization at sea” concept by transmitting voice and visual information of the vessels in operation direct to the shore side. By using artificial intelligence and “digital twin” technology, the partners say vessel operations and ship management processes can be optimised.

A digital twin of a vessel can be used to change and enhance the design by individual customisation, as well as providing status reports and identifying signs of failure.

 

 

Reader Comments (0)

There are currently no comments on this article. Why not be the first and leave your thoughts below.

Leave Your Comment

Please keep your comment on topic, any inappropriate comments may be removed.

Return to index

Web Analytics