Marine Equipment Maintenance Timing System
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Solution Overview
Problem
Existing methods for determining the timing of maintenance work on devices mounted on ships do not adequately account for factors such as ship speed, attitude, meteorological and hydrographic phenomena, and fuel oil characteristics, which influence the deterioration of these devices.
Innovation Solution
A system comprising attribute-record-data-acquisition, deterioration-degree-data-acquisition, and relational-data-generation units to collect and analyze data on ship attributes and device deterioration, generating relational data to determine optimal maintenance timing based on past sailing records and estimated future conditions.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If maintenance timing is determined solely by operation time, then the maintenance schedule is simple to manage, but it does not reflect the actual deterioration degree influenced by various sailing conditions
Solution Approach 1:
The patent segments the maintenance determination process into multiple independent data collection modules: operation time acquisition, sailing condition acquisition (speed, attitude, meteorological phenomena, fuel oil characteristics), and deterioration degree acquisition. Each module collects specific parameters independently, which are then integrated to comprehensively determine maintenance timing, thereby improving accuracy while maintaining manageable system complexity through modular design
Solution Approach 2:
The system establishes a universal data collection framework that can accommodate multiple types of sailing conditions (speed, attitude, meteorological phenomena, fuel oil characteristics) and apply them to determine maintenance timing for various devices mounted on ships. This multi-functional approach allows the same system structure to handle diverse parameters and device types, improving measurement precision without proportionally increasing complexity
2Adaptability or versatility
If maintenance timing is determined by manufacturer specifications, then the maintenance schedule is easy to follow, but it cannot adapt to actual sailing conditions that affect device deterioration
Solution Approach 1:
The patent transforms the static manufacturer-specified maintenance schedule into a dynamic determination system that automatically adjusts maintenance timing based on actual sailing conditions. The system continuously acquires operational data (speed, attitude, meteorological phenomena, fuel oil characteristics) and uses this dynamic information to adaptively determine when maintenance should be performed, enabling the schedule to respond to real-world variations while the automated process maintains operational ease
Solution Approach 2:
The system implements feedback mechanisms where deterioration degree data obtained from actual device inspection is fed back into the maintenance determination process. This feedback loop allows the system to learn from actual device conditions and sailing experiences, continuously improving the accuracy of maintenance timing predictions while adapting to specific operational patterns, thereby balancing adaptability with ease of operation through data-driven optimization
3Reliability
If comprehensive sailing condition data is collected to determine maintenance timing, then the maintenance accuracy improves, but the data processing complexity increases
Solution Approach 1:
The patent extracts and focuses on the most critical sailing condition parameters that have the greatest impact on device deterioration: operation time, sailing speed, ship attitude, meteorological phenomena, and fuel oil characteristics. By selectively extracting these key factors rather than processing all possible data, the system achieves high maintenance timing reliability while keeping the data processing system complexity manageable through targeted parameter selection
Solution Approach 2:
The system transforms multiple varied sailing condition parameters into a unified deterioration degree assessment framework. By changing the parameters from diverse physical measurements (speed, angle, temperature, composition) into a common evaluation metric (deterioration degree), the system simplifies data processing while maintaining high reliability in maintenance timing determination through standardized parameter integration
Data Source
AI summary
A first unit acquires attribute record data and a second unit acquires deterioration degree data from a terminal device mounted on a ship. The attribute record data indicates an attribute relating to a past sailing of the ship. The deterioration degree data indicates a deterioration degree, which is checked during performance of maintenance work, of each device mounted on the ship. A third unit generates relational data indicating a relation between various attributes relating to the state of the sailing of the ship and the deterioration degree of the device based on the attribute record data and deterioration degree data. A fourth unit acquires estimated attribute data indicating an estimated value of the attributes relating to sailing of the ship. A fifth unit generates timing data indicating a timing of maintenance work to be performed on each device based on the attribute record data, estimated attribute data, and relational data.