Looking for breakthrough ideas for innovation challenges? Try Patsnap Eureka!

Weld joint automatic tracking control method and system based on magnetic controlling arcs and laser vision sensing

An automatic tracking and visual sensing technology, applied in arc welding equipment, manufacturing tools, welding equipment, etc., can solve the problems of less research on weld seam tracking in automatic welding systems, and achieve improved seam tracking accuracy, stability, and tracking The effect of excellent and high-precision weld deviation information extraction

Active Publication Date: 2013-10-09
XIANGTAN UNIV
View PDF6 Cites 45 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0004] At present, multi-sensing information fusion technology has achieved great development in military applications, but less research has been done in seam tracking of automated welding systems

Method used

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
View more

Image

Smart Image Click on the blue labels to locate them in the text.
Viewing Examples
Smart Image
  • Weld joint automatic tracking control method and system based on magnetic controlling arcs and laser vision sensing
  • Weld joint automatic tracking control method and system based on magnetic controlling arcs and laser vision sensing
  • Weld joint automatic tracking control method and system based on magnetic controlling arcs and laser vision sensing

Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0022] Embodiment 1, the present invention adopts the welding seam automatic tracking control method based on magnetron arc and laser vision sensing, in the welding process, the magnetron arc sensor 10 controls the welding arc to scan the groove, and the Hall sensor 7 detects the weld After the current signal is processed by the filter circuit, the interference signal is filtered out, the effective signal is extracted and amplified, and the software processing and calculation are performed to obtain the deviation information of the welding torch 1 from the center of the weld; the laser vision sensor 11 obliquely projects the laser light on the weld On the seam groove, the image acquisition device 6 collects the laser stripe image including the weld seam features, and through the steps of adaptive threshold segmentation, median filtering, refinement and slope calculation, the deviation of welding torch 1 to the center of the weld seam is obtained. These two kinds of weld deviati...

Embodiment 2

[0023] Embodiment 2, the present invention adopts the fusion method of dual-sensor prediction, verification and calibration to fuse multi-sensor data. In the research of heterogeneous sensor data fusion algorithm, since the confidence interval and accuracy of the sensors are different, it is usually necessary to weight each sensor according to experience, and its weight directly affects the measurement results, and is easily affected by nonlinear interference in the actual welding environment , the performance is very unstable. Aiming at this problem, a fusion method of dual-sensing prediction, inspection and calibration is proposed. The key points of the fusion method of dual-sensing prediction, inspection and calibration are: during the welding process, the front laser vision sensor detects the center position of the weld seam. Pre-prediction is carried out to obtain the estimated value of the lateral deviation of the weld; the magnetron arc sensor extracts the lateral displ...

Embodiment 3

[0024] Embodiment 3, the present invention combines the magnetron arc sensor and the laser vision sensor to realize the automatic tracking of the welding seam. refer to Figure 1 to Figure 5 , and the rest are the same as the above-mentioned embodiment.

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to View More

PUM

No PUM Login to View More

Abstract

A weld joint automatic tracking control method and system based on magnetic controlling arcs and laser vision sensing mainly solves the technical problem that an existing space weld joint is low in automatic real-time tracking accuracy, not good in system fault tolerance and the like. According to the key points of the technical scheme, all deviation information, obtained by a magnetic controlling arc sensor (10) and a laser vision sensor (11), of the butt welded seam center of a welding gun (1) is input to a tracking system central control unit (8), information processing is conducted through a double-sensing estimating, examining and correcting fusion method, infused deviation information is taken as weld joint deviation regulating amount of an executing mechanism, the executing mechanism executes weld joint deviation regulating, weld joint automatic tracking is achieved, and the automated welding is completed. The weld joint automatic following control method and system is mainly used for weld joint automatic tracking.

Description

technical field [0001] The invention relates to a welding control method and system, in particular to a control method and system for automatic welding. Background technique [0002] During automatic welding, in order to compensate in real time the changes in the position and size of the weld seam caused by the processing and assembly errors of the workpiece, as well as the welding thermal deformation, an appropriate seam tracking method must be adopted. [0003] Among the commonly used seam tracking sensors, the arc sensor has the best real-time performance. Among them, the magnetron arc sensor has outstanding performance because it has no mechanical vibration and wear and is small in size; the laser vision sensor acquires a large amount of information and has a good seam tracking effect. However, it is difficult for a single sensor to overcome the influence of various uncertain factors in the welding process on the extraction of weld deviation information, and the possibil...

Claims

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to View More

Application Information

Patent Timeline
no application Login to View More
IPC IPC(8): B23K9/127B23K9/133B23K9/28
Inventor 洪波洪宇翔李湘文柳健汤希
Owner XIANGTAN UNIV
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Patsnap Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Patsnap Eureka Blog
Learn More
PatSnap group products

Browse by: Latest US Patents, China's latest patents, Technical Efficacy Thesaurus, Application Domain, Technology Topic, Popular Technical Reports.

© 2024 PatSnap. All rights reserved.Legal|Privacy policy|Modern Slavery Act Transparency Statement|Sitemap|About US| Contact US: help@patsnap.com