Tire Crack Depth Estimation Using Surface Image Correlation
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Solution Overview
Problem
Existing methods for predicting tire crack propagation, such as finite element method analysis, require detailed crack shape recognition, which is difficult to obtain for tires on construction vehicles traveling on uneven ground, making it unrealistic to estimate crack depth and predict tire life.
Innovation Solution
A tire state estimation system that acquires the shape of cracks on the outer surface using image data, correlates crack shape features like degree of opening and deviation width with crack depth, and estimates crack depth using a correspondence relationship stored in a database, allowing for accurate prediction of tire life.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If FEM analysis is used to predict crack propagation, then prediction accuracy is improved, but measurement difficulty increases because detailed crack shape recognition is required
Solution Approach 1:
The patent introduces an intermediary correlation model that connects easily measurable crack shape parameters (length, width, area) with crack depth. This intermediary relationship allows indirect estimation of crack depth without direct measurement, resolving the contradiction between measurement precision and detection difficulty
Solution Approach 2:
The patent creates a virtual copy of the crack through image processing and extracts其特征 parameters (length, width, area) from the image data. This copying approach enables measurement of crack characteristics without physical contact or complex instrumentation, improving both precision and ease of measurement
2Reliability
If detailed crack shape recognition is required, then prediction accuracy is improved, but ease of operation deteriorates because it is difficult to obtain internal crack shape data
Solution Approach 1:
The patent extracts only the necessary crack shape parameters (length, width, area) that can be obtained from external surface images, rather than requiring complete internal crack geometry. This extraction principle maintains prediction reliability while significantly improving ease of operation by using only externally observable data
Solution Approach 2:
The patent replaces complex mechanical or invasive measurement methods with optical image processing. By using image data to capture crack characteristics, the system achieves reliable predictions without requiring physical access to or manipulation of the tire's internal structure
3Measurement precision
If FEM analysis with detailed crack parameters is used, then prediction accuracy is improved, but device complexity increases due to multiple measurement requirements
Solution Approach 1:
The patent makes the image processing system multi-functional by using a single imaging device to capture multiple crack parameters (length, width, area) simultaneously. This universal approach maintains measurement precision while reducing device complexity compared to requiring separate measurement tools for each parameter
Data Source
AI summary
A tire state estimation system (10) is provided with a crack shape acquisition unit (240) for acquiring the shape of a crack on the outer surface of a tire, a crack information DB (230) for holding a correspondence relationship in which at least either degree of opening or deviation width of the crack based on the shape of the crack is associated with the depth of the crack, and a crack depth estimation unit (250) for estimating the depth of the crack based on the acquired crack shape and the correspondence relationship.