KAWASAKI, May 10 – Fujitsu Laboratories Ltd. today announced the development of technology that uses analysis of ship-related big data to estimate fuel efficiency, speed and other performance in actual sea conditions, to a highly accurate margin of error of less than 5%.
This newly developed technology puts to work Fujitsu Laboratories’ propriety high-dimensional statistical analysis technology to estimate the performance of ships actually at sea. The technology utilizes a massive volume of measurement data gathered while the ship is underway, including sensor data of meteorological and hydrographic conditions such as wind, waves, and ocean currents, ship engine log data, and data about the speed and position of the ship.
By applying the results of this research to Tokyo University of Marine Science and Technology’s weather routing simulator for evaluation, Fujitsu Laboratories demonstrated it could improve fuel efficiency by about 5% from previous results, with ships that navigate the shortest shipping routes.
With this technology, it is possible to accurately estimate a ship’s performance in actual sea conditions, which previously had a large margin of error, enabling evaluation of ship performance, design feedback, and significant improvements in fuel efficiency when used in ship navigation.
This technology uses Fujitsu’s AI technology, Human Centric AI Zinrai, and Fujitsu Laboratories will continue to improve its estimation accuracy through further operational trials going forward. The technology will be exhibited at Fujitsu Forum 2016, which will be held May 19th and 20th at the Tokyo International Forum (Chiyoda-ku, Tokyo, Japan).