Multi-Vessel Data Analysis for Hard-to-Change Performance Factors
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Solution Overview
Problem
Conventional methods struggle to determine the influence of parameters that are difficult to change, such as vessel type, antifouling coating, and fuel-saving devices, on vessel performance due to their infrequent changes and high costs.
Innovation Solution
A data processing system that aggregates and analyzes data from multiple vessels to extract and generate statistical values and distributions of parameters affecting vessel performance, allowing for the determination of their influence even for parameters that are difficult to change on an individual vessel.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If conventional methods are used to determine parameter influence on vessel performance, then the influence of easily changeable parameters can be determined, but the influence of difficult-to-change parameters (such as vessel type, antifouling coating, fuel-saving devices) cannot be determined due to their infrequent changes and high costs
Solution Approach 1:
The patent transitions from analyzing a single vessel's parameter changes over time to analyzing cross-sectional data from multiple vessels simultaneously. By adding the dimension of multiple vessels, the system can compare vessels with different parameter values (e.g., different antifouling coatings, fuel-saving devices) without requiring longitudinal changes in a single vessel, thus enabling determination of parameter influence for difficult-to-change parameters.
Solution Approach 2:
The patent introduces a data processing system as an intermediary that aggregates and analyzes data from multiple vessels. This intermediary system processes the complex multi-vessel data to extract meaningful comparisons, enabling the determination of parameter influence without requiring direct experimentation on individual vessels with difficult-to-change parameters.
2Measurement precision
If data from multiple vessels are aggregated and analyzed, then the influence of difficult-to-change parameters can be determined, but data processing complexity increases
Solution Approach 1:
The patent segments the multi-vessel data into comparable units by standardizing the data structure for each vessel, identifying common parameters, and organizing data by parameter types. This segmentation allows the complex aggregated data to be processed systematically, comparing vessels with different parameter values while controlling for other variables, thus managing the complexity of analyzing multiple vessels simultaneously.
3Measurement precision
If conventional single-vessel longitudinal analysis is used, then data collection is simple, but the time required to observe parameter changes is excessively long for difficult-to-change parameters
Solution Approach 1:
The patent performs preliminary data collection and aggregation from multiple vessels before analysis, gathering data on vessels with different parameter values (different antifouling coatings, fuel-saving devices, vessel types) in advance. This preliminary action of collecting cross-sectional data from multiple vessels eliminates the need for lengthy longitudinal observation of a single vessel, significantly reducing the time required to determine parameter influence.
Data Source
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AI summary
In the exemplary embodiment, terminal system 12 includes an acquisition unit 1213 configured to obtain, for each of a plurality of vessels, sample data indicating values of various parameters that affect vessel performance during contemporaneous periods of actual voyages, together with extraction condition data specifying extraction conditions for those parameters. An extraction unit 1212 extracts, from the obtained sample data, those entries that satisfy the indicated extraction conditions as a population. A generation unit 1215 generates statistical value data representing a statistical value of a selected parameter based on the sample data within the population. A display instruction unit 1217 causes display device 122 to present the statistical values indicated by the statistical value data. From the statistical values displayed, a user can discern how vessel performance changes in response to differences in the values of the selected parameter.