Brazing Work Measurement With 3D Multi-Camera Temperature Mapping
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Solution Overview
Problem
Current brazing work measurement systems face challenges in accurately measuring temperature distribution and depth information, leading to inefficiencies in skill transfer and quality control, particularly in complex joining processes like brazing, where defects can occur due to inadequate visualization and data accuracy.
Innovation Solution
A brazing work measurement system employing multiple cameras to capture images from different angles, combined with thermometers, which processes the data to create three-dimensional work data, including positional relations and temperature distribution, enabling precise analysis and education.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If a single visible light camera is attached to the hand to capture temperature based on color change, then the system is simple and easy to operate, but the temperature measurement accuracy is reduced and three-dimensional temperature distribution cannot be obtained
Solution Approach 1:
The patent transitions from a single two-dimensional camera view to a multi-camera three-dimensional measurement system. By arranging multiple cameras at different positions, the system captures temperature distribution from multiple angles, enabling accurate three-dimensional temperature field reconstruction and resolving the limitation of single-point or surface-only measurement.
Solution Approach 2:
The patent divides the temperature measurement task into multiple independent camera units, each capturing a specific view angle. This segmentation allows the system to collectively obtain complete three-dimensional temperature distribution data while maintaining the simplicity of individual camera operations.
2Ease of operation
If a camera is attached to the hand with the burner to capture real-time images, then the system is compact and easy to operate, but the depth information accuracy and distance measurement are reduced
Solution Approach 1:
The patent employs multiple cameras positioned at different spatial locations to capture the brazing process from various angles. This multi-dimensional arrangement enables accurate depth information extraction and distance measurement between the flame and workpiece, overcoming the limitations of single-camera two-dimensional imaging.
3Device complexity
If only one camera is used to capture the brazing process, then the device complexity is low, but the quality control accuracy and defect detection capability are insufficient
Solution Approach 1:
The patent divides the quality monitoring task into multiple camera units, each responsible for capturing specific views of the brazing process. This segmentation enables comprehensive quality control through multi-angle observation, improving defect detection capability while maintaining manageable system complexity.
Solution Approach 2:
The patent transitions from single-view to multi-view quality inspection by deploying cameras at different positions. This three-dimensional visualization approach provides comprehensive quality control data, enabling accurate defect detection and analysis that cannot be achieved with a single camera.
4Device complexity
If temperature is predicted based on color change in a single image, then the system is simple, but the temperature distribution of the entire object cannot be known and measurement accuracy is reduced
Solution Approach 1:
The patent uses multiple cameras positioned at different angles to capture comprehensive temperature distribution data across the entire workpiece. This multi-dimensional approach enables accurate three-dimensional temperature field reconstruction, providing complete temperature distribution information that cannot be obtained from a single two-dimensional image.
Solution Approach 2:
The patent divides the temperature measurement field into multiple view zones, with each camera responsible for capturing temperature data from its specific angle. This segmentation allows the system to collectively obtain complete temperature distribution information while maintaining the simplicity of individual camera-based color-to-temperature conversion.
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
This system enhances the accuracy of quality estimation and defect reduction, facilitating effective education and quality control by providing comprehensive, three-dimensional visualization of the brazing process and temperature distribution, thereby improving skill transfer and reducing defective products.
Implementation Method 1
a first visible light camera configured to capture a heated portion of the object heated by the burner
Implementation Method 2
a temperature specifying mechanism configured to specify a temperature of the heated portion based on a captured image or a captured moving image captured by the first visible light camera
Data Source
AI summary
A burner work measurement system configured to measure work using a burner is provided. The burner work measurement system includes one or more cameras configured to capture the work and a control unit configured to perform computing processing on images captured by the cameras, the control unit is configured to create work data obtained by calculating, based on the images captured by the cameras, at least one of a positional relation between a work object and the burner or flame, a positional relation between the work object and a brazing filler metal, and a positional relation between the burner or the flame and the brazing filler metal.