PIR simulator runs a simulation using the following information.

1. Basic operational data such as navigation distance, activity rate, and fuel consumption
2. Information on coating film smoothness
3. Information on antifouling performance

Through an integrated analysis of this information, the PIR simulator can estimate fuel efficiency and CO2 emissions, predict CII rating trends, and propose the optimum coating specifications based on these simulated results.

To understand how hull performance is affected by hull surface roughness, CMP has been conducting ongoing collaborative research into fluid mechanics with Tokyo University of Science, Tokyo University of Agriculture and Technology, Kobe University, National Institute of Maritime, Port and Aviation Technology (MPAT), and National Maritime Research Institute (NMRI).
As part of the Ministry of Land, Infrastructure, Transport and Tourism (MLIT)’s project to support the development of next-generation marine environment-related technologies, and a joint research project with ClassNK titled “Method for Estimating the Change in Vessel Frictional Resistance Based on Reduction in Hull Coating Roughness and Roughness Parameters,” CMP has developed FIR theory ver. 3.0, a 3D portable hull roughness analyzer, and ultra-smooth antifoulings. CMP uses these technologies to verify coating film roughness on-site during the coating process.

FIR theory is an analysis technology for estimating hull frictional resistance by measuring and evaluating the roughness (Rz) and wavelength (RSm) of the surface of the hull coating. Frictional resistance measurements are performed using a double cylinder friction resistance equipment developed by Tokyo University of Science.

The operational profile of a vessel is a key factor in predicting hull fouling and determining the specifications of an optimal antifouling solution.
CMP uses its operational profile analysis software and database (developed in-house) to perform a multi-factorial analysis of a vessel’s operational profile. Using this approach, CMP can visualize the operational status of a vessel from various perspectives throughout the effective life of an antifouling.

CMP offers a service where an operational profile analysis driven by big data is used to identify antifouling coating specifications (coating type, thickness, etc.) best suited to the service conditions of a customer’s vessel.

This analysis uses hull monitoring techniques grounded in the approach used by ISO 19030 to obtain a speed power curve, power trend curve, and various performance indicators that provide a quantitative visualization of hull performance.