Mobile Weld Training Using Sensor-Based Torch Tracking
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Solution Overview
Problem
Existing weld training systems are large, expensive, and not suitable for high-volume production, limiting their accessibility and effectiveness in training and recruiting for manual welding operations.
Innovation Solution
A mobile device coupled to a welding torch that detects dynamic position and orientation information using sensors, providing a simulated or augmented welding experience, and displaying relevant parameters to guide operators through virtual or augmented reality environments.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of manufacture
If traditional weld training systems are used, then training functionality is provided, but the systems are large, expensive, and not suitable for high-volume production
Solution Approach 1:
The patent uses a mobile device to create a virtual copy of the welding environment and training functionality. Instead of requiring expensive physical training equipment, the system replicates welding scenarios through software simulations on readily available mobile devices, enabling high-volume production and distribution of training systems
Solution Approach 2:
The patent replaces complex mechanical training systems with software-based virtual reality and augmented reality simulations. The mobile device uses sensors to detect physical movements and translates them into virtual welding actions, substituting mechanical training apparatus with digital simulations that are cheaper to manufacture and distribute
2Ease of manufacture
If mobile devices are used for weld training, then cost and production volume are improved, but new system complexity is introduced
Solution Approach 1:
The patent leverages the universal capabilities of mobile devices, which already contain sensors, processors, and display systems. By utilizing existing multi-functional hardware, the system avoids adding separate dedicated components, thereby reducing overall system complexity while maintaining training functionality
Solution Approach 2:
The mobile device uses its own built-in sensors and processing capabilities to handle detection, calculation, and display functions. The system is self-contained, requiring no external complex infrastructure, which simplifies deployment and reduces the complexity of system integration
Applied Scientific Principles
This section explains which scientific principles are used to turn an abstract innovation direction into a practical engineering solution.
Function Achieved in This Case
Enables a low-cost, high-volume production of weld training systems that provide real-time feedback and improved training experiences, enhancing operator skills through simulated or augmented welding practices.
Implementation Method 1
The mobile device is configured to detect, via one or more sensors, dynamic position or orientation information of the welding torch during the welding procedure
Implementation Method 2
The mobile device includes a camera configured to detect one or more of a plurality of identifiers disposed on the orientation device
Data Source
AI summary
Systems and methods for a weld training system are disclosed. An example weld training system includes: a mobile device configured to be attached to a welding accessory using a mount, the mobile device comprising one or more sensors, wherein the mobile device is configured to: gather, via the one or more sensors of the mobile device, information indicative of dynamic position or orientation of the mobile device during a welding procedure; and display, via a display of the mobile device, a welding environment based on the information.