Using Big Data for Engine Preventive Maintenance

 

MOL is conducting the test in cooperation with Nippon Kaiji Kyokai (ClassNK; Chairman and President: Noboru Ueda; Headquarters: Chiyoda-ku, Tokyo), Mitsui Engineering & Shipbuilding Co., Ltd. (MES; President: Takao Tanaka; Headquarters: Chuo-ku, Tokyo), and MES Technoservice Co., Ltd. (Managing Director: Shinichi Fukuda; Headquarters: Tamano-shi, Okayama). The system relies on early detection of abnormalities in the electronically controlled engine to ensure correct preventive maintenance and reduce life cycle costs.

 

MOL centrally collects big data gathered from its operated vessels, aiming to establish an integrated vessel operation support network that allows timely analysis of results on shore and at sea through marine onboard broadband systems to support vessel operation, reduce environmental impact, improve cost efficiency, and streamline vessel management, in addition to other benefits. The demonstration test is part of this initiative.

 

The “CMAXS e-GICSX” uses the combination of technologies accumulated through MES’s “e-GICS” system and a cutting-edge data analysis function using ClassNK’s “CMAXS” system, based on joint research between ClassNK and MES. A comparative analysis of the “CMAXS e-GICSX” system will be verified on the MAYARO, a vessel operated by MOL, which has a high level of ship management know-how. The demonstration test aims to verify that the system is a practical and highly reliable next-generation condition-based engine monitoring system.

 

Today, most merchant vessels are equipped with electronically controlled engines, allowing for collection of massive volumes of engine performance data. In addition, advanced ship-to-shore telecommunication equipment enables the collection of hour-to-hour big data including weather and hydrographic conditions. MOL – at sea and on land – takes a proactive stance in development and introduction of technologies that contribute to safe operation, continually forging ahead toward “Reconstruct our safe operation structure” set forth in the midterm management plan “STEER FOR 2020”.