Welding Camera Stress Monitoring Using Image Sharpness Mapping
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Solution Overview
Problem
Current computer simulation methods for monitoring stress changes during the welding process of automotive cameras require significant computing resources and are limited by the complexity and accuracy of simulation models, making them inefficient and inaccurate.
Innovation Solution
A method that uses image recognition algorithms to acquire sharpness change rates from images of the welding process and inputs these rates into a sharpness stress mapping model to predict stress changes, allowing for real-time monitoring without the need for extensive computational resources.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If computer simulation methods are used to monitor stress changes during welding, then stress prediction can be achieved, but large amounts of computing resources are required and accuracy is limited by simulation model complexity
Solution Approach 1:
The patent replaces the computer simulation system (mechanical/computational approach) with an optical measurement system using cameras to capture images during welding. The sharpness change rate derived from image processing substitutes for complex stress simulation calculations, achieving stress monitoring with significantly reduced computing resources while maintaining or improving accuracy.
Solution Approach 2:
The patent introduces image sharpness as an intermediary parameter that correlates with stress changes. Instead of directly simulating stress, the system uses camera images to capture sharpness variations, which serve as a mediator to infer stress state. This intermediary approach simplifies the measurement process and reduces computational burden.
2Productivity
If computer simulation methods are used to monitor stress changes during welding, then stress prediction can be achieved, but the method is limited by complexity and accuracy of simulation models
Solution Approach 1:
The patent replaces complex simulation models with a straightforward image processing approach. By using camera imaging and sharpness calculation algorithms, the system achieves stress monitoring without the computational complexity of finite element analysis or other simulation methods, thereby improving productivity and reducing model complexity.
Solution Approach 2:
The welding process itself generates the measurement data through its effect on the workpiece geometry, which is captured by the camera. The system uses the natural changes in the welded structure during processing as the measurement signal, eliminating the need for separate sensors or complex simulation setups.
Data Source
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AI summary
A method, system, and readable storage medium for monitoring welding camera, the method comprises: determining that a device to be welded is in a welding process, and acquiring a set of images of the device to be welded; obtaining a sharpness change rate according to the set of images by utilizing an image resolution algorithm; and inputting the sharpness change rate into a sharpness stress mapping model to obtain a stress change of the device to be welded.