Vision-Guided Welding Position Control for Electrode Attitude Changes
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Solution Overview
Problem
Existing arc welding technologies struggle to maintain optimal positions of the electrode and welding wire relative to the welding object, particularly in complex scenarios or when avoiding obstacles, leading to variations in welding quality that depend heavily on the skill of the welder.
Innovation Solution
A welding control device that adjusts the target position of the electrode and welding wire based on real-time image processing, incorporating machine learning to account for the attitude of the electrode and shape of the welding object, using multiple axes to control the welding execution device and correct for deviations, ensuring consistent welding quality.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If automated welding control is implemented using basic position detection, then productivity increases and dependency on skilled labor decreases, but welding quality consistency deteriorates because the system cannot adapt to changes in electrode attitude and object shape
Solution Approach 1:
The system dynamically adjusts the target position of the electrode and welding wire based on real-time detection of electrode attitude and welding object shape characteristics. The control device modifies position parameters during the welding process to maintain optimal welding conditions, enabling automated welding to achieve quality consistency comparable to skilled manual welding while maintaining high productivity
Solution Approach 2:
The system uses vision sensors and detection devices to continuously monitor the actual position of the electrode and welding wire, compares them with target positions that are dynamically determined based on electrode attitude and object shape, and automatically adjusts positions to eliminate deviations. This closed-loop feedback control enables automated welding to maintain high precision without requiring skilled operator intervention
2Device complexity
If the target position is fixed regardless of electrode attitude or object shape, then device complexity is reduced, but welding quality deteriorates because optimal positions cannot be maintained in complex scenarios
Solution Approach 1:
The control device automatically determines optimal target positions by analyzing electrode attitude information and welding object shape characteristics without requiring external manual intervention. The system self-adjusts position parameters based on detected conditions, achieving high positioning accuracy in complex scenarios while keeping the operational interface simple and avoiding excessive complexity in manual configuration
3Adaptability or versatility
If multiple axes are used to control electrode attitude and position, then adaptability to complex welding scenarios improves, but device complexity and control difficulty increase
Solution Approach 1:
The system uses vision sensors and detection devices to continuously monitor the actual position of the electrode and welding wire, compares them with target positions that are dynamically determined based on electrode attitude and object shape, and automatically adjusts positions to eliminate deviations. This closed-loop feedback control enables automated welding to maintain high precision without requiring skilled operator intervention
Solution Approach 2:
The control device integrates multiple functions including vision detection, attitude analysis, shape recognition, and multi-axis position control into a single unified system. This multi-functional integration enables the system to handle various complex welding scenarios with different electrode attitudes and object geometries while avoiding the need for separate specialized systems for each function
Data Source
AI summary
A welding control device configured to control a position control object which includes at least one of a welding wire used to weld a welding object or an electrode for melting the welding wire includes a first decision unit for deciding an actual position of the position control object based on a welding feature amount detected from an image which is shot to include at least the position control object, a second decision unit for deciding a target position which is a target of the actual position according to an input condition based on the input condition which includes at least one of attitude information of the electrode when the welding object is welded or shape information of the welding object, and a control unit for performing position control of the position control object so that the actual position becomes the target position.