Dynamic Fluid Change Interval Optimization
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Solution Overview
Problem
Current methods for determining the optimal change interval for functional fluids in equipment do not account for actual operating conditions, leading to unnecessary fluid changes, which are costly, or inadequate changes that result in equipment damage.
Innovation Solution
A computer-implemented method that collects information on equipment and fluid usage, retrieves a base change interval, and applies numerical adjustment factors based on operating conditions to calculate an optimal fluid change interval, utilizing a wide area computer network and internet-based system for customized recommendations.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If functional fluids are changed at manufacturer-recommended intervals, then equipment reliability is maintained, but costs increase due to unnecessary changes and loss of time
Solution Approach 1:
The patent transforms the static manufacturer-recommended change interval into a dynamic, adaptive interval that automatically adjusts based on real-time operating conditions. The system continuously monitors parameters such as temperature, load, and fluid degradation, then dynamically recalculates the optimal change interval using algorithms that balance equipment protection with cost efficiency. This resolves the contradiction by maintaining reliability through condition-based monitoring while eliminating unnecessary changes that waste time and resources.
Solution Approach 2:
The system implements continuous feedback loops where sensors monitor fluid condition and operating parameters, feed this data to analysis algorithms, and adjust the change interval recommendation accordingly. This closed-loop feedback mechanism ensures equipment reliability is maintained by detecting degradation trends early, while simultaneously optimizing the change timing to avoid premature replacements, thus reducing time loss and operational disruptions.
2Reliability
If functional fluids are changed more frequently, then equipment protection is improved, but costs increase due to fluid, labor and disposal
Solution Approach 1:
The system enables self-service through automated monitoring and intelligent decision-making algorithms that determine the optimal change interval without requiring conservative over-maintenance. By autonomously analyzing fluid condition data and operating parameters, the system identifies the precise moment when fluid replacement is necessary, preventing both premature changes (wasting resources) and delayed changes (compromising equipment protection). This resolves the contradiction by achieving equipment protection exactly when needed, eliminating unnecessary fluid, labor, and disposal costs.
Solution Approach 2:
The patent changes the parameter basis for fluid replacement from fixed time/interval metrics to condition-based parameters such as fluid degradation level, temperature exposure, and load cycles. This parameter transformation allows the system to extend change intervals when conditions permit while automatically shortening them when degradation accelerates, thereby maintaining equipment protection while optimizing resource utilization and reducing overall costs.
3Loss of energy
If functional fluids are changed less frequently, then costs are reduced, but equipment damage risk increases
Solution Approach 1:
The system performs preliminary action by continuously monitoring fluid condition and predicting future degradation trends before critical failure occurs. Through proactive analysis of degradation patterns and operating conditions, the system identifies the optimal replacement timing in advance, allowing planned maintenance that avoids both premature changes (reducing costs) and delayed changes (preventing equipment damage). This resolves the contradiction by enabling cost-effective extended intervals while maintaining equipment protection through predictive intervention.
Solution Approach 2:
The patent replaces the traditional mechanical/time-based maintenance schedule with an intelligent, data-driven decision system that uses sensors, algorithms, and analysis to determine replacement timing. This substitution transitions from rigid periodic changes to flexible condition-based optimization, reducing costs by eliminating unnecessary changes while preventing equipment damage through intelligent monitoring and timely intervention based on actual fluid condition rather than arbitrary time intervals.
Data Source
AI summary
The present invention relates to a tool for determining, improving and/or optimizing the change interval of a functional fluid utilized in a piece of equipment by using information on the piece of the equipment and its operating conditions. In particular, the present invention relates to the optimization of the oil drain interval of a vehicle by using a base change interval and optimizing it based on the operating conditions the vehicle experiences.