Weld Helmet Ghost Tool Images for Synchronized Training Guidance
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Solution Overview
Problem
The welding industry faces a shortage of skilled operators, and conventional training methods require live instruction from experienced operators, limiting the effectiveness of training systems.
Innovation Solution
A weld training system with resettable target tool images displayed on a welding helmet, using sensor data to adjust the target tool image's position and orientation in real-time, ensuring it remains synchronized with the actual welding tool, and providing feedback to guide operators through proper welding techniques.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If the target tool image moves at a fixed speed through the welding operation, then the training simulation can be standardized, but the target image may outpace the actual tool movement causing synchronization issues and operator confusion
Solution Approach 1:
The system dynamically adjusts the travel speed of the target tool image based on the actual welding tool's movement characteristics. The processing circuitry monitors the actual tool's position and speed, then modifies the target image's display speed accordingly, allowing the simulation to adapt to varying welding speeds rather than using a fixed predetermined speed.
Solution Approach 2:
The system implements feedback by continuously monitoring the actual welding tool's position and movement through sensors, then using this information to adjust the target tool image's position and speed in real-time. This closed-loop control ensures the target image remains synchronized with the actual tool throughout the welding operation.
2Device complexity
If the target tool image is displayed at a predetermined speed, then the training protocol is simple to implement, but speed discrepancies cause the target image to diverge from the actual tool position reducing training effectiveness
Solution Approach 1:
The system transitions from static predetermined speeds to dynamic speed adjustment. The processing circuitry continuously adapts the target image's display speed based on real-time detection of the actual welding tool's movement, ensuring position alignment accuracy while maintaining reasonable system complexity through automated control.
Solution Approach 2:
The system performs self-adjustment by automatically monitoring its own operational parameters (actual tool position and speed) and using this information to correct the target image display in real-time, eliminating the need for external intervention or complex manual control mechanisms.
3Ease of operation
If live instruction from experienced operators is used for training, then operators receive personalized guidance, but the shortage of skilled operators limits the scalability of training programs
Solution Approach 1:
The system creates a virtual copy of the expert welding process through the target tool image, which represents the ideal welding path and technique. Trainees can follow this digital replica of expert performance without requiring actual expert instructors, enabling scalable training while maintaining high training quality through standardized best practices.
Solution Approach 2:
The system transforms the training delivery mechanism from human-instructed to digitally-guided by changing the instructional parameter from live human interaction to automated visual feedback. This parameter change enables unlimited scalability while preserving training quality through consistent, repeatable guidance based on expert welding parameters.
Data Source
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AI summary
Described herein are examples of weld training systems that show (e.g., transparent and/or translucent) "ghost" images of a welding tool on a display screen of a welding headgear to indicate target positions and/or target orientations of an actual welding tool. In some examples, the weld training systems may additionally "reset" the target tool image to a position closer to the actual welding tool if the target tool image gets too far away. The ability to "reset" the target tool image to a position closer to the actual welding tool may help in minimizing a risk that an operator 106 will overcompensate to try to catch up with the target tool image, which can be detrimental to the weld. Additionally, resetting the target tool image to a position closer the welding tool may allow an operator to better perceive and/or understand differences in orientation and/or other technique parameters.