Tire Pressure Monitoring Using Temperature-Calibrated Slope Analysis
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Solution Overview
Problem
Existing tire pressure monitoring systems face issues with false alarms due to the lack of effective noise filtering and temperature compensation, particularly in detecting slow and fast air leakages.
Innovation Solution
The method involves measuring temperature and pressure changes over time, converting pressure measurements into temperature-calibrated values, and determining slopes of variation to differentiate between standard, fast, and slow leakage states, using multiple sampling periods to confirm reproducibility and set threshold values.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Speed
If temperature compensation is applied to pressure measurements for fast leakage detection, then detection speed is improved, but false alarms increase due to lack of noise filtering
Solution Approach 1:
The patent divides leakage detection into multiple categories (fast leakage, slow leakage, and non-leakage) by analyzing pressure variations at different time scales. Multiple sampling periods (first sampling period, second sampling period, third sampling period) are used to segment the detection process, allowing differentiation between rapid pressure drops (fast leakage) and gradual changes (slow leakage or temperature effects), thereby reducing false alarms while maintaining detection speed.
Solution Approach 2:
The patent dynamically adjusts detection thresholds and sampling strategies based on real-time conditions. By continuously monitoring pressure variations across multiple time periods and comparing against dynamically determined thresholds (first threshold, second threshold, third threshold), the system adapts to changing conditions such as temperature fluctuations while maintaining sensitivity to actual leakage events.
2Reliability
If multiple sampling periods are used to confirm leakage and reduce false alarms, then reliability is improved, but detection time increases
Solution Approach 1:
The patent applies partial sampling action by using different sampling periods selectively. For suspected fast leakage, a first (shorter) sampling period is used for rapid initial detection. For confirmation and slow leakage detection, second and third (longer) sampling periods are employed. This partial application of extended sampling only when needed balances reliability improvement with time loss minimization.
Solution Approach 2:
The patent implements periodic sampling at multiple time scales (first sampling period, second sampling period, third sampling period) to monitor pressure variations. This periodic action allows the system to capture both rapid pressure changes (fast leakage) and gradual changes (slow leakage) while using the periodic nature of sampling to reduce overall detection time compared to continuous monitoring.
3Reliability
If temperature compensation is not applied, then false alarms are reduced, but leakage detection accuracy deteriorates
Solution Approach 1:
The patent adds the time dimension to pressure measurement analysis by implementing multiple sampling periods (first, second, third sampling periods) with different durations. This dimensional approach allows differentiation between temperature-induced pressure changes (which occur gradually over time) and leakage-induced pressure changes (which show characteristic decay patterns across time periods), thereby maintaining detection accuracy without relying solely on temperature compensation.
Solution Approach 2:
The patent changes the parameter being analyzed from absolute pressure to pressure variation rate and pattern across multiple time periods. By monitoring how pressure changes over the first, second, and third sampling periods rather than relying on compensated absolute pressure values, the system achieves accurate leakage detection while being inherently resistant to temperature compensation errors and false alarms.
Applied Scientific Principles
This section explains which scientific principles are used to turn an abstract innovation direction into a practical engineering solution.
Function Achieved in This Case
This approach reduces the risk of false alarms by accurately distinguishing between different leakage states and noise patterns, providing reliable air leakage detection.
Implementation Method 1
measuring, at successive moments separated by a measurement period, two parameters, in particular temperature and pressure, of the air contained in the tire
Implementation Method 2
measuring, at successive moments separated by a measurement period, two parameters, in particular temperature and pressure, of the air contained in the tire
Implementation Method 3
the fact that the pressure and temperature of a gas are a priori proportional has been taken into account
Data Source
AI summary
In order to avoid the risk of false alarms by supplementing the pressure and temperature measurements with a particular monitoring of their change over time, there is proposed a method which includes: converting referenced pressure measurements (ΔP) into values of a magnitude calibrated in temperature called converted pressure (ΔPT); monitoring for at least two sampling periods (n1, n2) multiples of a measurement period, the change in a difference called significant (ΔQ) at each measurement moment between the values of the converted pressure (ΔPT) and a referenced temperature (ΔT). The slope (p(n)) of these variations is monitored and signifies either an absence of leakage or an air leakage at a fast or slow rate.