Laser-Pattern Point Clouds for Brake Disc Wear Measurement
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Solution Overview
Problem
Existing methods for measuring brake disc wear degree are inaccurate due to reliance on manual judgment, especially for brake discs without wear lines.
Innovation Solution
A method involving obtaining a brake disc image with a laser pattern, generating a projection depth point cloud map, and using a point cloud map identification model to determine the positions of reference and measurement points, calculating the difference in laser projection depths to quantify wear.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If manual judgment is used to observe wear lines or remove tires for measurement, then the measurement process is simple and quick, but the measurement precision is insufficient
Solution Approach 1:
The patent replaces manual mechanical observation and judgment with an automated optical measurement system. A laser projector projects patterns onto the brake disc surface, and a camera captures the deformed patterns. Image processing algorithms automatically analyze the patterns to generate 3D point cloud maps and calculate wear depth, eliminating subjective manual judgment and achieving precise, objective measurement of brake disc wear degree.
Solution Approach 2:
The patent creates a digital copy (point cloud map) of the brake disc surface by projecting laser patterns and capturing their deformation. This digital replica allows for precise computational analysis of wear features without physically touching or disturbing the brake disc. The point cloud map serves as an accurate virtual model that can be measured and analyzed repeatedly with high precision.
2Measurement precision
If automated laser projection and point cloud mapping are used, then measurement precision is improved, but device complexity increases
Solution Approach 1:
The patent employs a universal measurement system that can handle various brake disc types and wear conditions using the same laser projection and camera capture setup. The system projects patterns onto different brake disc surfaces and uses consistent image processing algorithms to generate point cloud maps and calculate wear depth, making the device adaptable and versatile across different measurement scenarios without requiring multiple specialized systems.
Applied Scientific Principles
This section explains which scientific principles are used to turn an abstract innovation direction into a practical engineering solution.
Function Achieved in This Case
Accurately measures brake disc wear degree by generating a projection depth point cloud map, improving measurement accuracy compared to manual methods.
Implementation Method 1
obtaining a brake disc image comprising a laser pattern
Implementation Method 2
extracting the laser pattern from the brake disc image, and generating a projection depth point cloud map of the laser pattern
Data Source
AI summary
A brake disc wear degree measuring method comprises: obtaining a brake disc image comprising a laser pattern (110); extracting the laser pattern from the brake disc image, and generating a projection depth point cloud map according to the extracted laser pattern (120); identifying the projection depth point cloud map by means of a point cloud map identification model to obtain a matching sample, and determining a measurement feature of the matching sample as a measurement feature of the projection depth point cloud map (130); determining a position of a reference point in the projection depth point cloud map according to the measurement feature (140); determining a position of a measurement point in the projection depth point cloud map according to the measurement feature (150); and determining, according to the position of the reference point and the position of the measurement point, a difference value of the laser projection depths of the reference point and the measurement point, wherein the difference value is used for representing a wear degree index of a brake disc (160).