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SALVIA-OCT.-web (Smart Analysis of a Vessel in Actual Sea)

SALVIA-OCT.-web is a program for assessing the performance of a ship in actual seas based on onboard monitoring data using the standard onboard monitoring method.

Outline

SALVIA-OCT.-web is a program for assessing the performance of a ship in actual seas based on onboard monitoring data using the standard onboard monitoring method.


Interface

The SALVIA-OCT.-web., which is provided with interface shown below, is a web application for data input-output to and from SALVIA-OCT.-web. The output data can be used in OCTARVIA-index/prediction.

InputInterface

InputInterface

Output Interface


SALVIA-OCT.-web. Estimation Process

(1) Data Filtering

Data filtering is performed based on filtering thresholds for the operating and weather conditions.

(2) Correction for the Effects of Winds and Waves

Onboard monitoring data for the rotational speed and output power of the main engine are corrected to the values for the given weather conditions, such as calm condition.

Correction to Ship Performance in Still Water (Ocean-going container ship)

(3) Assessment of Ship Performance in Still Water (including quality assessment)

SALVIA-OCT.-web. assesses the performance of the ship in given weather conditions set by the resistance criteria method1)2) using the corrected data and presents the relationship between the speed of the ship through water, main engine rotational speed and main engine power in diagrams. It also presents the results of quality assessment of the output data (pass grade).

Results of Assessment of Ship Performance in Still Water based on Onboard Monitoring Data (Ocean-going container ship)

The effectiveness of this assessment method was validated by confirming that there is only an approx. 2% difference between the results of the fuel consumption simulation by OCTARVIA-prediction based on the output data of ship performance in still water and the onboard monitoring data.

Validation of Assessment Method by Comparison between Results of Fuel Consumption Simulation and Onboard Monitoring Data 3)

  • (外航コンテナ船)

  • (外航油槽船)

(4) Assessment of Impact of Fouling and Aging

SALVIA-OCT.-web. can be used to assess the impact of fouling and aging based on long-term onboard monitoring data. The figure below shows an example of such assessment. “dPFAV” and “dPFAN” represent the rate of increase in main engine power due to fouling and aging at a constant ship speed and a constant rotational speed, respectively. The dotted lines in the figure are the approximation lines of dPFAV and dPFAN.

Results of Assessment of Ship Performance in Still Water based on Onboard Monitoring Data (Ocean-going container ship)

(5) Quality Assessment of Onboard Monitoring Data (Evaluation of Variations)

SALVIA-OCT.-web. assesses the effectiveness of formula approximation of onboard monitoring data with different filtering thresholds for the weather conditions based on data variations around an approximation curve. This assessment confirms that the formula approximation was performed appropriately and quantitatively defines the effectiveness of data filtering by weather conditions performed in (1).


To use this application

This application is available in full version and limited version(free).

To use this application, you must apply for membership registration which includes the signing of a written license agreement with NMRI.

Please go to the Registration page to register.

Fees (tax excluded):

・225,000 JPY(Japan resident needs extra tax) half-yearly

・300,000 JPY(Japan resident needs extra tax) annually

Reference

1)A. Sakurada, N. Sogihara and M. Tsujimoto: Development of a Filtering Method for the Evaluation of Performance in Calm Sea Based on Onboard Monitoring Data, Journal of the Japan Society of Naval Architects and Ocean Engineering, Vol. 31, pp. 29-37, 2020.

2)A. Sakurada, N. Sogihara, M. Tsujimoto, and H. Sato: Development of Resistance Criteria Method for Ship Performance Evaluation by Onboard Monitoring Data, Proceedings of Full Scale Ship Performance Conference 2021, pp.19-26, 2021.

3)N. Sogihara, A. Sakurada and M. Tsujimoto: Validation of Filtering Method for Evaluating Ship Performance in Calm Sea Using Onboard Monitoring Data, Journal of the Japan Society of Naval Architects and Ocean Engineering, Vol. 33, pp. 25-33, 2021.