Weld Path Parameter Mapping for Operator Training Feedback
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Solution Overview
Problem
Current welding training systems are expensive and often inadequate in training operators to perform high-quality welds, limiting their effectiveness in preparing operators for manual welding operations.
Innovation Solution
A welding system that integrates virtual reality, augmented reality, and sensing technologies to provide immersive training experiences, track operator performance, and offer real-time feedback, enabling more effective and cost-efficient training.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If traditional welding training systems are used, then training effectiveness is limited, but acquisition and operation costs are high
Solution Approach 1:
The patent uses virtual reality to create a virtual copy of the welding environment, allowing trainees to practice welding techniques in a simulated setting. This virtual welding system replicates the visual and operational aspects of real welding without requiring expensive physical training equipment, thereby reducing costs while maintaining training effectiveness
Solution Approach 2:
The patent replaces physical welding training equipment with a computational system that uses cameras, processors, and software to simulate welding operations. The mechanical welding training apparatus is substituted with digital image processing and virtual reality technologies, reducing hardware costs while providing comprehensive training feedback
2Productivity
If more welding training systems are acquired, then training capacity increases, but operational costs increase
Solution Approach 1:
The welding training system is designed to be universally applicable across multiple trainees and different welding scenarios. A single system can serve multiple students sequentially, and the virtual reality environment can simulate various welding positions and techniques, eliminating the need to acquire separate physical training systems for each student or welding type
Solution Approach 2:
The system provides automated feedback and evaluation through image processing algorithms that automatically analyze welding quality metrics. This self-evaluating capability eliminates the need for additional instructors or manual assessment processes, reducing operational costs while maintaining high training capacity
3Measurement precision
If manual welding assessment is used, then feedback is provided, but measurement precision is insufficient
Solution Approach 1:
The patent replaces manual visual inspection with automated image processing systems that use cameras and computer algorithms to measure welding parameters. The system objectively quantifies weld bead geometry, penetration, and other quality metrics with high precision, eliminating the subjectivity and limitations of human assessment
Solution Approach 2:
The patent introduces an intermediate image processing layer between the welding operation and the assessment result. Cameras capture images of the welding process, software algorithms process these images to extract quantitative measurements, and this intermediate computational step enables precise objective assessment without requiring direct manual measurement
Data Source
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AI summary
A method of operating a welding system includes receiving welding data corresponding to a welding session for a weld, receiving a location selection from an operator, and displaying on a display a graphical representation of welding parameters of the welding selection corresponding to the location selection. The welding data includes welding parameters, including a work angle of a welding torch, a travel angle of the welding torch, a contact tip to work distance, a travel speed of the welding torch along a path of the weld, an aim of the welding torch, or any combination thereof. The location selection corresponds to a point along the path of the weld traversed by the welding torch.