Tire Leak Detection Using Multi-Model Prediction
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Solution Overview
Problem
Current tire leak detection systems fail to effectively and timely notify users of tire leaks, particularly distinguishing between slow and fast leaks, which can compromise vehicle safety and convenience.
Innovation Solution
A tire leak detection system that receives sensor data from tires, determines leak anomalies based on volume and pressure changes, predicts the time or distance until a tire becomes unusable using multiple prediction models, and outputs notifications to users or servers indicating leak type, with alerts for slow, fast, or no leaks.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If traditional tire leak detection systems are used, then leak detection is provided, but timely and accurate distinction between slow and fast leaks is not achieved
Solution Approach 1:
The system performs preliminary classification of leak types (slow vs. fast) based on initial sensor data analysis, enabling early notification to users before the tire pressure drops to critical levels. This preliminary action allows users to take preventive measures timely.
Solution Approach 2:
The system continuously monitors tire parameters and provides feedback to users about leak status and predicted time to complete failure. This feedback mechanism enables users to understand the severity and timing of the leak, improving both detection accuracy and notification timeliness.
2Measurement precision
If multiple prediction models are used to predict tire failure time, then prediction accuracy is improved, but system complexity increases
Solution Approach 1:
The prediction system is segmented into multiple independent prediction models, each handling different aspects of tire degradation. This segmentation allows for modular implementation and maintenance while achieving high overall prediction accuracy through ensemble methods.
Solution Approach 2:
The multiple prediction models serve universal functions of estimating time to complete failure under different leak scenarios. They can be applied to various tire types and leak conditions, providing accurate predictions across diverse situations without requiring separate specialized systems.
3Reliability
If leak detection considers volume variations, temperature changes and pressure changes, then detection reliability is improved, but difficulty of detecting and measuring increases
Solution Approach 1:
The system merges measurements of tire volume, temperature, and pressure into a unified leak detection framework. By combining these parameters, the system achieves reliable leak detection that accounts for environmental variations and tire physics, while the integrated approach manages measurement complexity through coordinated sensing.
Solution Approach 2:
The system monitors changes in multiple parameters (volume, temperature, pressure) simultaneously to detect leaks. By analyzing the patterns of parameter changes rather than single parameter thresholds, the system achieves high reliability while managing measurement complexity through multi-parameter correlation analysis.
Data Source
AI summary
Embodiments include methods, systems and computer readable storage medium for a method for detection and notification of a tire leak is disclosed. The method includes receiving, by a tire leak detection system, sensor data from one or more tires. The method further includes determining, by the tire leak detection system, an occurrence of a leak anomaly in at least one of the one or more tires based on the sensor data. The method further includes predicting, by the tire leak detection system, a time and/or distance the at least one of the one or more tires will function ineffectively. The method further includes outputting, by the tire leak detection system, a code to a user or server indicating a leak type associated with the leak anomaly.