Multi-Run Welding Data Tracking via Virtual Simulation
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Solution Overview
Problem
Current welding training systems are expensive and often inadequate in training operators to perform high-quality welds, particularly in manual welding operations, where they fail to effectively manage and monitor welding data and environments.
Innovation Solution
A comprehensive welding system that integrates sensing devices, a user interface, and software to track and analyze welding operations, providing real-time feedback and data management, including augmented and virtual reality training modes, to enhance operator training and performance.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If traditional welding training systems are used, then operator training can be provided, but the systems are expensive and inadequate in training quality
Solution Approach 1:
The patent uses virtual reality simulations and digital twins to create virtual copies of welding environments, equipment, and processes. This allows operators to train in realistic scenarios without requiring expensive physical welding equipment for every training scenario, thereby improving training quality while reducing system costs.
Solution Approach 2:
The welding system integrates multiple functions including training simulation, real welding operations, data collection, analysis, and feedback mechanisms into a single platform. This multi-functionality allows the system to serve both training and production purposes, reducing the need for separate expensive training systems while maintaining high training quality.
2Manufacturing precision
If comprehensive welding data monitoring is implemented, then welding quality can be improved, but data management complexity increases
Solution Approach 1:
The system implements real-time feedback loops where welding parameters, sensor data, and quality metrics are continuously monitored, analyzed, and fed back to operators and control systems. This automated feedback mechanism improves weld quality by enabling real-time adjustments while reducing data management complexity through algorithmic processing rather than manual analysis.
Solution Approach 2:
The patent introduces software intermediaries and data processing layers that sit between the raw sensor data and the operators or control systems. These intermediaries automatically filter, aggregate, and interpret welding data, making complex information more manageable and actionable while maintaining comprehensive monitoring capabilities.
3Productivity
If multiple welding runs are conducted, then production output increases, but data tracking and management becomes more difficult
Solution Approach 1:
The system establishes standardized data collection templates, parameter sets, and tracking protocols before welding runs begin. This preliminary setup ensures that data from multiple runs can be consistently captured and compared, facilitating production scaling while maintaining effective data management through pre-defined structures.
Solution Approach 2:
The patent implements a hierarchical data management structure where individual weld data is nested within run data, which is nested within production batch data, and so on. This nested organization allows efficient tracking and analysis of data at multiple levels of production aggregation, making it easier to manage information as production output increases.
Data Source
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AI summary
A method includes calibrating a first path of a joint of a workpiece of a welding system relative to a component, determining a first set of welding parameters of a welding torch based at least in part on a tracked position and a tracked orientation of the welding torch along the first path of the joint during a first live-arc welding operation, calibrating a second path of the joint of the workpiece relative to the component, determining a second set of welding parameters of the welding torch based at least in part the tracked position and orientation of the welding torch along the second path of the joint during a second live-arc welding operation, and displaying at least one of the first and second sets of welding parameters on a display. The second path is disposed at least partially over the first path.