Tire Temperature Monitoring for Wheel Issue Detection
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Solution Overview
Problem
Conventional tire pressure monitoring systems face challenges in accurately and timely detecting wheel-related issues due to factors like heat from brakes, thermal dissipation, and load variations, leading to potential false alarms and missed marginal tire conditions, particularly in commercial vehicles with more tires and greater distances traveled, which increases vehicle downtime and maintenance costs.
Innovation Solution
A method and apparatus that analyze temperature data from vehicle tires to detect wheel-related issues such as alignment, brake, and axle problems by using a processing system to determine the status of each tire and apply models based on collected temperature data to identify potential issues, integrating with a network for data communication and alert generation.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If conventional tire pressure monitoring systems use simple threshold alerts based on raw sensor measurements, then the system complexity is low, but the measurement precision and reliability are insufficient due to false alarms and missed marginal conditions
Solution Approach 1:
The system pre-processes temperature and pressure data by calculating derivatives and rate of change before comparison with thresholds. This preliminary mathematical transformation enables more accurate detection of marginal tire conditions while maintaining manageable system complexity through algorithmic rather than hardware complexity.
Solution Approach 2:
The patent introduces intermediate calculated parameters (temperature derivatives, pressure rates of change) as mediators between raw sensor data and final diagnostic decisions. These intermediaries filter out noise from factors like brake heat and thermal dissipation, improving measurement precision without requiring complex hardware modifications.
2Reliability
If conventional systems use simple threshold alerts, then the response time is fast, but the timeliness of accurate detection is poor because alerts may occur after tires reach non-optimal states
Solution Approach 1:
By calculating temperature derivatives and pressure rate of change in advance, the system can detect trends and anomalies before they cross simple thresholds. This allows timely alerts to be generated at the optimal moment when intervention is most effective, rather than after tires reach non-optimal states.
Solution Approach 2:
The system continuously monitors rate of change and derivative values, providing feedback on tire condition trends. This enables dynamic adjustment of alert timing based on how quickly conditions are deteriorating, ensuring alerts are generated at the most timely and accurate moment for each specific situation.
3Reliability
If temperature and pressure readings are used without compensation for environmental factors, then the measurement process is simple, but the reliability of tire status indication is reduced due to heat from brakes, thermal dissipation, and load variations
Solution Approach 1:
The patent uses mathematical derivatives and rate of change calculations as intermediaries to distinguish between temperature/pressure changes caused by tire issues versus those caused by normal operational factors like brake heat and thermal dissipation. This approach improves reliability by filtering out environmental noise without adding complex sensor arrays or compensation hardware.
Solution Approach 2:
Instead of attempting to measure and compensate for every possible environmental factor (excessive action), the system focuses on detecting the signature patterns of actual tire problems through derivative analysis (partial action). This selective approach achieves reliable detection while maintaining manageable data analysis complexity.
Data Source
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AI summary
A method, apparatus and program product to monitor a vehicle for wheel related issues based at least in part on temperature data collected for tires of the vehicle is disclosed. Received temperature data for each of a plurality of tires of the vehicle may be received and analyzed to determine whether a status of each tire is normal. Responsive to determining that a status for at least one tire is not normal, wheel related issues present for the vehicle may be detected based at least in part on the temperature data.