Structured Light Wheel Measurement System for Real-Time Dimensional Analysis
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Current wheel measurement systems for trains suffer from inefficiency, poor reliability, and low accuracy, particularly in detecting wheel abrasion and deformation, which can lead to safety hazards due to the inability to provide timely and reliable data for maintenance.
Innovation Solution
An online measurement system using structured light technology, comprising a system controller, wheel sensors, and structured light units that project lasers onto the wheel to capture three-dimensional contour images, allowing for real-time calculation of wheel parameters such as diameter, rim height, and rim thickness, with multiple image sensors improving reliability and accuracy.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If visual inspection or manual measurement is used, then the measurement process is simple, but the measurement accuracy and reliability are poor
Solution Approach 1:
The patent replaces manual visual inspection and mechanical measurement tools with an automated optical measurement system. The system uses structured light projection and image capture to automatically measure wheel dimensions, eliminating the need for manual positioning and reading while significantly improving measurement accuracy and reliability.
Solution Approach 2:
The patent creates an optical copy of the wheel surface by projecting structured light patterns and capturing the deformed light patterns with image sensors. This optical copying process enables non-contact measurement of wheel dimensions, preserving the original wheel while obtaining precise measurement data through image analysis.
2Productivity
If static detection is used, then the measurement process is simple, but the productivity and timeliness are low
Solution Approach 1:
The patent transitions from static detection to dynamic online measurement. The measurement system is integrated into the wheel processing line and continuously measures wheel dimensions during production or maintenance operations. The system captures images at multiple positions and synthesizes complete wheel contour information dynamically, enabling real-time quality monitoring without stopping production.
Solution Approach 2:
The patent implements continuous measurement by capturing wheel images at multiple positions along the processing line and synthesizing complete contour information. This continuous imaging process ensures that every wheel passing through the system is measured, providing uninterrupted quality monitoring and eliminating the need for separate batch measurement operations.
3Reliability
If image analysis is used for wheel deformation detection, then the system can detect wheel shape, but the reliability is poor due to ambient light interference
Solution Approach 1:
The patent uses structured light projection where specific light patterns (such as laser lines or grid patterns) are projected onto the wheel surface. The system captures the deformation of these known patterns caused by wheel geometry, enabling measurement independent of ambient light conditions. The controlled light source creates high-contrast images that are immune to environmental lighting variations.
Solution Approach 2:
The patent employs periodic illumination by projecting structured light patterns in a controlled sequence. The light source is activated in specific patterns (such as alternating lines or rotating grids) that create time-separated measurement data, allowing the system to distinguish between the projected pattern and ambient light through temporal filtering and pattern recognition.
4Loss of time
If manual positioning is required, then the measurement setup is simple, but the measurement time and turnaround time are long
Solution Approach 1:
The patent implements self-positioning by using the wheel's own features (such as the flange or tread contact points with the rail) as reference elements. The measurement system automatically identifies and aligns with these inherent wheel features without requiring external positioning fixtures or manual adjustment, enabling the wheel to position itself for measurement as it passes through the detection zone.
Solution Approach 2:
The patent performs preliminary positioning by pre-calibrating the measurement system with known wheel geometry parameters and positioning reference points. The system is configured in advance to recognize standard wheel profiles and automatically adjust measurement parameters based on the detected wheel type, eliminating the need for real-time manual positioning during measurement operations.
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
The system provides precise and reliable real-time data on wheel conditions, reducing the risk of safety hazards by accurately detecting abrasion and deformation, and is less affected by ambient light, enabling timely maintenance.
Implementation Method 1
The tread structured light unit may emit n line lasers, where n≥2, and when the n line lasers are projected onto a wheel, n wheel tread contour curves may be formed
Implementation Method 2
Both the first wheel online measurement device and the second wheel online measurement device may include a tread structured light unit, a profile structured light unit and a two-dimensional image sensor
Data Source
AI summary
The invention relates to an online measurement system and method for multiple parameters of a wheel based on structured light. The measurement system comprises a wheel sensor, a first wheel online measurement device and a second wheel online measurement device, and is characterized in that both the first wheel online measurement device and the second wheel online measurement device comprise a tread structured light unit, a profile structured light unit and a two-dimensional image sensor. The tread structured light unit and the profile structured light unit project a profile contour curve and a tread contour curve on the wheel, the two-dimensional image sensor takes images, three-dimensional reconstruction is performed on the images to obtain tread contour information and profile contour information, and the wheel diameter, the wheel flange height and the wheel flange thickness are acquired according to the obtained contour information.


