Torch Consumable Recognition Using Optical Marking Detection
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Existing welding and cutting torches face challenges in accurately and reliably identifying interchangeable consumable components, leading to inefficient operation settings and potential safety risks due to manual adjustment requirements and the inability to distinguish counterfeit components.
Innovation Solution
A torch assembly with imaging devices that optically recognize passive mechanical markings on consumable components, automatically adjusting operational parameters and preventing unsafe or suboptimal operations, ensuring seamless transitions between cutting and welding operations.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If visual identification or bar code scanning is used to identify consumable components, then component identification is possible, but the process is difficult, time-consuming, and unreliable for inexperienced users
Solution Approach 1:
The patent replaces manual visual identification and bar code scanning with an automated optical imaging system. The torch assembly includes an imaging device (camera) that automatically captures images of consumable components and uses image processing to identify them, eliminating the need for manual intervention and improving both speed and accuracy of identification.
Solution Approach 2:
The system enables self-service identification where the torch automatically identifies consumable components without requiring operator intervention. The imaging device and image processing system work autonomously to detect, analyze, and identify components based on their visual characteristics, making the process independent of operator skill level.
2Extent of automation
If RFID tags are used for component identification, then automatic identification is achieved, but the cost increases significantly and older parts become incompatible
Solution Approach 1:
Instead of using RFID tags that require physical attachment or integration, the patent uses optical copying/imaging of the component's existing visual features. The imaging device captures an optical copy (image) of the consumable component, and image processing extracts identification information from this copy, avoiding the need for additional hardware tags.
Solution Approach 2:
The optical imaging system provides universal compatibility with all consumable components that have visible identification features, regardless of their age or manufacturer. The system can identify both old and new parts without requiring retrofits or specialized tags, making it universally applicable across different component types and eras.
3Reliability
If pressure decay measurement is used for component identification, then identification can be performed, but the process is slow and inaccurate for worn consumables
Solution Approach 1:
The patent replaces pressure decay measurement with optical imaging and image processing. The imaging device captures visual information instantaneously, and the image processing system quickly analyzes the images to identify components, providing both high speed and high reliability without the delays and inaccuracies of pressure-based methods.
4Ease of operation
If manual power supply adjustment is required when switching components, then operational settings can be changed, but the process is tedious, time-consuming, and prone to errors
Solution Approach 1:
The system uses feedback from the image processing identification to automatically adjust power supply settings. When a consumable component is identified through imaging, the system receives feedback about the component type and automatically configures the appropriate operational parameters, eliminating manual adjustment and ensuring correct settings are applied.
Solution Approach 2:
The power supply adjustment process becomes self-service, where the system automatically configures operational settings based on the identified consumable component. The torch assembly and power supply work together autonomously to select and apply the correct parameters without requiring operator consultation of manuals or memory recall.
5Device complexity
If visual identification is used, then no additional hardware is needed, but counterfeit or unsuitable components cannot be reliably distinguished
Solution Approach 1:
The patent enhances visual identification by replacing simple human visual inspection with automated optical imaging and digital image processing. The system captures detailed images and analyzes specific visual features, markings, and geometric characteristics to reliably distinguish genuine and suitable components from counterfeits, providing robust detection capability.
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
The solution enables reliable and automatic identification of consumable components, preventing unsafe operations and optimizing performance by adjusting power and gas settings based on recognized components, reducing errors and extending the life of torch components.
Implementation Method 1
an imaging device that optically detects one or more passive, mechanical markings included on the interchangeable torch component
Data Source
AI summary
Recognizing interchangeable torch components, such as consumables, for welding and cutting torches includes determining that one or more interchangeable torch components installed in an operative end of a torch are genuine. Operational parameters for the one or more interchangeable torch components can also be determined. When the one or more interchangeable torch components are determined to be genuine, an indicator assembly can be activated to provide a first indication. When the operational parameters are implemented at a power supply connected to the torch, the indicator assembly can be activated to provide a second indication.