Helmet-Based Weld Tracking for Tool and Head Motion Separation
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Solution Overview
Problem
Conventional weld tracking systems are limited in their ability to provide a portable and compact solution for tracking welding operations, often requiring fixed installations and struggling to differentiate between helmet and tool movements, which hampers operator training and quality assurance.
Innovation Solution
A helmet-based weld tracking system that incorporates sensors to track its own position and orientation, as well as the position and orientation of a welding tool or arc, using simultaneous localization and mapping (SLAM) algorithms and infrared sensors to provide real-time feedback and adjust welding parameters or disable operations if deviations occur.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If conventional weld tracking systems are used, then welding operations can be tracked, but the systems are not portable and require fixed installations
Solution Approach 1:
The welding helmet itself serves as the tracking platform, with sensors and processing capabilities integrated directly into the helmet. This eliminates the need for separate fixed installations, as the helmet performs the tracking function it needs while being worn by the operator.
Solution Approach 2:
The welding helmet is transformed into a multi-functional device that simultaneously provides welding protection, head tracking, tool tracking, and weld tracking capabilities. This universal approach eliminates the need for separate fixed tracking infrastructure.
2Measurement precision
If conventional weld tracking systems are used, then welding data can be collected, but the systems cannot differentiate between helmet and tool movements
Solution Approach 1:
The tracking system is segmented into distinct sensor modules: one set mounted on the helmet to track helmet movement, and another set on the welding tool to track tool movement. This segmentation allows the system to independently measure and differentiate between the two movement sources.
Solution Approach 2:
The system uses separate sensor intermediaries on the helmet and tool that independently capture movement data. By having distinct measurement intermediaries for each component, the system can accurately attribute movements to their correct sources and prevent data confusion.
3Measurement precision
If helmet-based tracking with multiple sensors is implemented, then movement differentiation is achieved, but device complexity increases
Solution Approach 1:
Multiple sensor types (accelerometers, gyroscopes, magnetometers) are merged into integrated sensor modules that are mounted on both the helmet and tool. This consolidation reduces the overall system complexity compared to having separate sensor systems for each function.
Solution Approach 2:
The same sensor module design is used universally on both the helmet and tool, allowing for standardized manufacturing and simplified system architecture. This multi-functional sensor design tracks both position and orientation simultaneously, reducing the need for separate specialized sensors.
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 convenient, portable weld tracking, differentiating between helmet and tool movements, and offering corrective feedback to improve welding technique, location accuracy, and sequence adherence, enhancing operator training and quality assurance.
Implementation Method 1
infrared sensors to provide real-time feedback
Implementation Method 2
a first sensor system configured to monitor a helmet position and a helmet orientation of the welding helmet relative to a reference point
Data Source
AI summary
Described herein are examples of weld tracking systems implemented via a welding helmet. The welding helmet includes weld tracking sensors configured to allow the welding helmet to track a welding-type tool and/or an arc generated by the welding-type tool. The welding helmet also includes helmet tracking sensors configured to allow the welding helmet to track its own position and/or orientation relative to a reference point in the welding environment. By tracking itself as well as the welding-type tool and/or arc, the welding helmet can differentiate between its own movement, and movement of the welding-type tool and/or arc. By implementing the weld tracking system in the welding helmet, the weld tracking system becomes portable and usable outside of the usual fixed confines of weld tracking systems.