Tire Pressure Monitoring Receiver Wheel Identification
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
The existing tire condition monitoring systems face challenges in efficiently identifying the wheel assembly to which each transmitter is attached, particularly when multiple specific angles are set, leading to increased time requirements for rotation angle acquisition and identification.
Innovation Solution
A receiver and transmitter unit configuration that utilizes rotation angle detecting sections to calculate differences between obtained and previously obtained rotation angles, with predetermined ranges for identification, allowing for quicker and more reliable association of ID codes with wheel assemblies based on angle variations.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If multiple specific angles are set for transmission data transmission, then the reliability of wheel assembly identification is improved, but the time necessary for identifying the wheel assembly increases
Solution Approach 1:
The receiver pre-stores the relationship between specific angles and wheel assembly positions in a storage unit. When transmission data is received, the receiver directly queries the stored relationship to identify the wheel assembly, eliminating the need for real-time calculation and classification of rotation angles. This preliminary preparation of angle-position correspondence data significantly reduces identification time while maintaining reliability through multiple specific angles.
2Reliability
If multiple specific angles are set for transmission, then the completeness of data collection is improved, but the number of rotation angle samples required increases
Solution Approach 1:
The system pre-establishes a storage unit containing the correspondence between multiple specific angles and their associated wheel assembly positions. This allows the receiver to collect data at multiple angles without requiring proportional increases in sampling efforts, as the angle-position relationships are predetermined and stored for efficient retrieval.
Solution Approach 2:
The identification process is segmented into distinct components: receiving transmission data, querying the stored angle-position relationship, and identifying the wheel assembly. This segmentation allows the system to handle multiple specific angles independently through table lookup rather than requiring comprehensive sampling and classification of all possible angle combinations.
3Measurement precision
If rotation angles are classified for each specific angle, then the precision of wheel assembly identification is improved, but the complexity of the identification process increases
Solution Approach 1:
The receiver pre-stores the classification relationship between specific angles and wheel assembly positions in a structured format. Instead of performing complex real-time classification algorithms, the system simply queries the pre-organized storage unit using the received specific angle as a key, thereby maintaining high identification precision while significantly reducing processing complexity.
Data Source
Figure 1A~1B
Figure 2~4
Figure 5A~6
AI summary
A reception control section (51) obtains a rotation angle of each wheel assembly (11) when a reception circuit (52) receives transmission data. The reception control section (51) calculates the absolute value of the difference between the obtained rotation angle and a previously obtained rotation angle. The reception control section (51) determines whether the absolute value of the difference is included in a reference range (A1) or a specific range (A2). The reference range (A1) includes 0. The specific range (A2) includes the angle difference between specific angles.