Research

Onboard monitoring data analysis of ships

Onboard monitoring data is a general term for data obtained by real-time measurement of phenomena occurring in the ship hull and its systems, such as ship motion, engine motion, propeller rotation, structural deform and member stress during actual voyages. The purpose of the research is to clarify the current service performance by analyzing this data. Immediately after the ship is launched, its performance begins to deteriorate due to aging and fouling. Data analysis allows us to know the current performance, and it is possible to utilize it in operation and design. If you compare a ship to a human being, it is like knowing your current physical condition based on the stimulation you feel with your eyes, ears, and skin, and then working in a healthy way.

We are challenging this problem from both a physical and statistical approach. In the physical approach, it is possible to estimate the dynamics parameters (that is, motion characteristics in waves) by expressing the dynamics relationship between ship motion and waves in a state space model and applying monitoring data to it. The figure below shows the concept.

In the statistical approach, the correlation between monitoring data is expressed in a multivariate statistical analysis model, and by applying the monitoring data to it, it is possible to estimate fuel efficiency performance and analyze factors. The figure is an example of a statistical approach. It captures changes in engine power, representing fuel consumption, regarding to ship speed and disturbances (waves and wind), and, and analyzes the disturbance effects.

Contact person: Munehiko Minoura