NYK Develops Tool to Detect Ship Engine Malfunctions
Japanese shipping company Nippon Yusen Kabushiki Kaisha (NYK) has developed a diagnostics tool that collects and visualizes the sound of an engine as part of the company’s efforts to use big data.
Developed in collaboration with MTI Corporation, the system, named Kirari Muse, will help prevent accidents, according to NYK.
As informed, a pilot operation will be carried out with an NYK-operated vessel.
The system consists of a tool for diagnostics that based on the sound of the engine will analyze its condition.
NYK explained that based on the sound data collected while sailing on daily basis, it will be possible to detect the differences in the sound emitted and detect potential malfunctions.
Earlier this month, NYK, MTI Co. Ltd., Nippon Telegraph and Telephone Corporation (NTT), and NTT DATA Corporation conducted a proof-of-concept experiment for a next-generation onboard IoT platform. The test was held aboard a coastal vessel and the companies now plan to perform the experiment on an oceangoing ship.
World Maritime News Staff