Welding Helmet Vision Feedback for Real-Time Torch Parameter Control
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Solution Overview
Problem
Manual welding operations face challenges in maintaining critical parameters such as torch angles, contact tip-to-work distance, and travel speed due to the difficulty in monitoring and adjusting these factors in real-time, leading to inconsistencies in weld quality.
Innovation Solution
A networked high dynamic range welding vision system using wearable devices like helmets equipped with optical sensors and processors to capture high dynamic range images, process them, and provide real-time feedback and training to operators, enhancing their ability to maintain proper welding techniques.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Manufacturing precision
If manual welding operations are performed without monitoring systems, then operators have flexibility in operation, but weld quality consistency deteriorates due to inability to maintain critical parameters
Solution Approach 1:
The patent implements real-time feedback systems that monitor critical welding parameters (torch angle, contact tip-to-work distance, travel speed) and provide immediate visual and audible feedback to operators. This closed-loop feedback mechanism enables operators to maintain proper parameters without complex automated control systems, resolving the contradiction between weld quality consistency and device complexity.
Solution Approach 2:
The patent replaces complex mechanical monitoring and control systems with optical sensing and digital image processing technologies. High-speed cameras and image analysis algorithms automatically track welding parameters and provide feedback, substituting mechanical complexity with optical and computational approaches that achieve the same measurement precision with simpler physical infrastructure.
2Reliability
If real-time monitoring of welding parameters is implemented, then weld quality improves, but system complexity and cost increase
Solution Approach 1:
The patent enables the welding system to self-monitor and self-evaluate by equipping it with integrated sensors, image processing capabilities, and automated parameter tracking. The system independently captures images, analyzes welding parameters, compares them against acceptable ranges, and provides feedback without requiring external complex monitoring infrastructure, thus improving reliability while controlling system complexity.
Solution Approach 2:
The patent designs the vision system to perform multiple functions simultaneously: capturing high-speed images, analyzing welding parameters, tracking torch position and angle, monitoring travel speed, and providing real-time feedback. This multi-functional integration reduces overall system complexity by consolidating multiple specialized subsystems into a single unified platform that achieves the same reliability improvements.
3Measurement precision
If high dynamic range imaging is used to capture welding scenes, then measurement precision of welding parameters improves, but data processing requirements and system complexity increase
Solution Approach 1:
The patent employs high dynamic range (HDR) imaging technology that captures welding scenes across multiple exposure levels and combines them into a single image with extended dynamic range. This parameter change in image acquisition allows simultaneous visualization of both bright arc regions and darker workpiece areas, significantly improving measurement precision of welding parameters while the automated processing algorithms manage the complexity of handling multi-exposure data.
Data Source
AI summary
Methods and apparatus to provide visual information associated with welding operations are disclosed. An weld training system includes a display, a camera, a communications device, and a welding helmet. The communications device communicates with welding equipment. The welding helmet has a view port. The communications device is configured to hold the camera, the communications device, and the display such that, when the welding helmet is worn by a wearer, the display is viewable by the wearer, the camera has a view through the view port such that the display displays to the wearer images taken by the camera through the view port and displays a simulated object generated based on information received from the welding equipment via the communications device.