Smart Tire Alarm Verification via Sensor Data Segmentation
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Existing tire state evaluation methods, such as TPMS systems, do not adequately utilize all measured values (pressure, acceleration, and temperature) and lack a verification process for determining tire states, leading to unreliable alarms.
Innovation Solution
A smart tire system with a TPMS sensor unit and a sensor information processor generates discrete time-series tire state signals, compares them with a problem determination reference to trigger alarms, and performs secondary verification to enhance the reliability of the initial alarm determination.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If a TPMS sensor measures tire state variables (pressure, temperature, acceleration) and generates alarms based on threshold comparisons, then real-time tire monitoring capability is improved, but alarm reliability deteriorates due to lack of verification process
Solution Approach 1:
The system performs preliminary comparison of tire state samples with problem determination references before final alarm generation. The sensor processor pre-evaluates discrete time-series tire state signals against reference values, and only triggers alarms after verification through sequential comparison of multiple samples, preventing premature or false alarm generation.
Solution Approach 2:
The system implements a feedback mechanism where alarm generation is contingent upon verification of abnormal samples through sequential comparison. When an abnormal sample is detected, the system continues monitoring subsequent samples to confirm the anomaly before generating a final alarm, creating a closed-loop verification process that enhances reliability.
2Loss of information
If multiple tire state parameters (pressure, temperature, acceleration) are monitored simultaneously, then measurement comprehensiveness is improved, but information processing complexity worsens
Solution Approach 1:
The system segments the processing of multiple tire state parameters by generating discrete time-series signals for each parameter (pressure, temperature, acceleration) separately. Each parameter's samples are independently compared with corresponding problem determination references, allowing comprehensive monitoring while maintaining manageable processing complexity through modular evaluation.
3Measurement precision
If discrete time-series signals are generated and sequentially verified through multiple comparison steps, then determination accuracy is improved, but processing time increases
Solution Approach 1:
The system employs periodic sampling of tire state variables at discrete time intervals, generating time-series signals that are sequentially compared with references. This periodic verification approach balances accuracy requirements with time efficiency by evaluating samples at regular intervals rather than continuously, reducing processing time while maintaining determination precision.
Data Source
Figure 1
Figure 2
Figure 3
AI summary
The present invention relates to a method of evaluating the state of a tire and providing an alarm, and a smart tire using the same. In more detail, the present invention relates to a method of determining whether there is a problem by processing a tire state value from a TPMS sensor by means of a sensor processor or a sensor information processor, provides an alarm to a driver, and additionally verifying the determination on whether there is a problem. In particular, the present invention relates to a method of determining the state of a tire and providing an alarm, the method being capable of improving reliability of an alarm by providing an appropriate method of examining tire states such as pressure, temperature, and acceleration, and a smart tire using the same.