Tire Performance Characterization Using Stored Coefficients for Data Gaps
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Existing tire monitoring systems may have gaps in tire parameter data, leading to insufficient information for determining tire performance characteristics, which can hinder accurate maintenance decisions.
Innovation Solution
A method and system that utilize a processing system to query tire parameter data, provide indications for additional data collection if necessary, and retrieve performance coefficients from memory to determine tire performance characteristics, even in data gaps, using local and remote devices for data storage and processing.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If tire parameter data is collected over time for trend analysis, then measurement precision of tire performance characteristic is improved, but loss of time increases due to data collection gap
Solution Approach 1:
The system pre-calculates and stores performance coefficients during periods when sufficient tire parameter data is available. These pre-computed coefficients are then retrieved and used to determine tire performance characteristics even when data gaps prevent real-time calculation, thereby eliminating maintenance latency while preserving accuracy.
2Reliability
If tire parameter data is stored for historical analysis, then reliability of tire performance assessment is improved, but device complexity increases due to data management requirements
Solution Approach 1:
The system extracts only the essential performance characteristics from the full set of historical tire parameter data by computing performance coefficients. Instead of storing and processing all raw historical data, the system stores these derived coefficients which capture the essential performance information, thereby reducing data management complexity while maintaining assessment reliability.
3Productivity
If performance coefficients are retrieved from memory, then productivity of tire performance determination is improved, but loss of information may occur if coefficients are not accurately stored
Solution Approach 1:
The system continuously monitors tire parameter data and updates performance coefficients in memory whenever sufficient new data becomes available. This feedback mechanism ensures that stored coefficients remain accurate and current, preventing information loss while enabling rapid performance determination through coefficient retrieval.
Data Source
AI summary
A method of determining a tire performance characteristic of a tire including querying, using a processing system, a memory as to a presence of a first set of values indicative of a tire parameter of a tire in the memory, and determining, using the processing system, that the first set of values is insufficient to determine the tire performance characteristic of the tire, The method includes performing steps, using the processing system, comprising one or more of providing an indication that a second set of values indicative of the tire parameter is required to determine the tire performance characteristic of the tire, and retrieving, from the memory, a performance coefficient of the tire corresponding to performance of the tire associated with the first set of values, and determining, based on the performance coefficient, the tire performance characteristic of the tire.