Tire Temperature Forecasting for Early Overheat Alerts
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Solution Overview
Problem
Existing tire monitoring systems can only generate alerts for high tire temperatures after the temperature has been reached, failing to provide a proactive response that could prevent tire damage and performance reduction.
Innovation Solution
A tire high temperature forecasting system that uses sensors to measure and predict future tire temperatures, employing a forecasting model to alert fleet managers or operators before the temperature exceeds a threshold, allowing for preventative measures.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If real-time temperature measurement is used, then temperature monitoring capability is improved, but alert timing is delayed until high temperature is reached
Solution Approach 1:
The system performs preliminary actions by collecting historical temperature data and establishing forecasting models before high temperature occurs. The model predicts future temperature trends and generates alerts in advance, enabling preventive maintenance before the tire actually reaches dangerous temperatures.
Solution Approach 2:
The forecasting model acts as a cushioning mechanism by predicting temperature increases before they happen. This allows the system to buffer against the harmful effect of high temperature by providing early warning, giving operators time to take preventive actions before the actual high temperature condition develops.
2Device complexity
If reactive alert system is used, then system simplicity is maintained, but tire damage prevention capability is reduced
Solution Approach 1:
The system implements feedback by continuously monitoring temperature data, comparing actual readings with predicted values from the forecasting model, and generating alerts when deviations indicate impending high temperature conditions. This feedback loop enables proactive warning while maintaining relatively simple system architecture.
Solution Approach 2:
The forecasting model serves itself by automatically learning from historical temperature data and improving its predictions over time without requiring complex external intervention. The system uses its own accumulated data to enhance its predictive capability, reducing the need for additional complex components.
Data Source
AI summary
A tire high temperature forecasting system includes at least one tire that supports a vehicle, and at least one sensor mounted on the tire for measuring a temperature of the tire. An electronic memory capacity is in a unit mounted on the tire for storing tire identification information. A processor is in electronic communication with the sensor and the electronic memory capacity, in which the processor receives and correlates the measured temperature, a time of the temperature measurement, and the tire identification information. Transmission means transmit the measured temperature, a time of the temperature measurement, and the tire identification information to a remote processor. The remote processor executes a forecasting model, and the forecasting model generates a forecast estimate. If the forecast estimate includes a predicted high temperature that is greater than a predetermined high temperature threshold for the tire, an alert is generated by the forecasting model.