Vehicle Component Operation Tracking for Maintenance Optimization
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Solution Overview
Problem
Existing methods for determining when to replace vehicle components based on travel distance and elapsed years can lead to premature replacement of undeteriorated components, resulting in increased maintenance costs.
Innovation Solution
An information processing system that includes a vehicle with a measuring unit to track the number of operations of components and a controller to send operation data to an information processing apparatus. The apparatus stores cumulative operation data and updates it based on the received data, determining when components need to be replaced.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If component replacement is determined based on travel distance and elapsed years, then replacement timing can be easily determined, but components that have not deteriorated so much are replaced leading to increased maintenance costs
Solution Approach 1:
The patent changes the parameter basis for replacement determination from generic time/distance metrics to actual operational usage data. By measuring and accumulating the number of operations of each component individually, the system determines replacement timing based on actual wear and usage patterns rather than predetermined schedules, thereby avoiding premature replacement of components that have not deteriorated.
2Measurement precision
If component replacement is determined based on cumulative operation data with differentiated procedures, then replacement timing accuracy is improved, but system complexity increases
Solution Approach 1:
The patent segments the component monitoring system by assigning individual operation counters to each component (first component, second component, etc.). Each component's replacement timing is determined independently based on its own cumulative operation data, allowing for precise, component-specific maintenance scheduling without requiring complex inter-component analysis.
Solution Approach 2:
The system implements feedback by continuously measuring the number of operations of each component, storing cumulative operation data, and using this data to determine when replacement is necessary. The control unit receives operation data from measuring units and automatically determines replacement timing based on accumulated usage, creating a closed-loop system that adapts to actual component wear patterns.
Data Source
AI summary
An information processing system includes a vehicle and an information processing apparatus. The vehicle includes a first component including a measuring unit configured to measure a first number of operations of the first component, a second component of which a second number of operations is measured by the measuring unit, and a controller configured to send the first and second numbers of operations to the information processing apparatus. The information processing apparatus includes a storage unit and a control unit. The storage unit stores a first cumulative number of operations of the first component and a second cumulative number of operations of the second component. The control unit is configured to determine whether the first and second components have been replaced based on the first and second numbers of operations, and update the first and second cumulative numbers of operations in a procedure that varies according to a determination result.