Weld quality detection method based on images

A quality inspection method and image technology, applied in the direction of measuring devices, optical testing of defects/defects, material analysis through optical means, etc., can solve the problems of reducing enterprise production efficiency, high cost, and expensive detection system, and achieve simple structure , low cost, and the effect of improving welding quality

Active Publication Date: 2018-03-27
宁波博视达焊接机器人有限公司
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Problems solved by technology

[0003] At present, the commonly used non-destructive weld quality detection methods include X-ray and ultrasonic flaw detection, but their high cost makes the entire detection system expensive and reduces the production efficiency of enterprises.

Method used

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  • Weld quality detection method based on images

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Embodiment Construction

[0020] The present invention will be further described below in conjunction with the accompanying drawings.

[0021] Such as figure 1 The weld quality detection system shown in the figure includes a camera 1, a line laser 2 and a computer 3. During welding, the workpiece 4 is driven to rotate by the turntable 5, and the workpiece is welded by the welding torch 6. The camera 1 and the line laser 2 are respectively It is correspondingly fixed on the side of the workpiece 4, and the line laser 2 is aimed at the weld seam of the workpiece after welding. The image of the weld seam is collected by the camera 1, and the image is transmitted to the computer 3 for analysis, processing and display.

[0022] Specifically, an image-based weld quality detection method provided by the present invention, during operation, includes the following steps:

[0023] S1. Fix the workpiece to be welded on the turntable, the turntable drives the workpiece to rotate, and the welding gun performs weld...

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Abstract

The invention discloses a weld quality detection method based on images. The method comprises the following steps: adopting a camera, a line laser and a computer, correspondingly fixing the camera andthe line laser beside a workpiece respectively, enabling the line laser to be aligned to a weld formed by welding the workpiece, continuously collecting n weld images by the camera, transmitting theimages to the computer to be analyzed and processed, obtaining an edge graph S, and judging whether the weld is normal or not according to the number of pixel points in the edge graph S. Compared withthe prior art, the weld quality detection method disclosed by the invention has the advantages that weld quality detection is realized through image processing, the cost is low, and the welding quality of products and the benefits of enterprises are improved; only the camera, the line laser and the computer are adopted as detection systems, and the structure is simple, so that operation and application are relatively convenient; and during detection, the weld images are continuously collected by the camera and are analyzed and processed by the computer, the response speed is higher, and the detection accuracy is higher.

Description

technical field [0001] The invention relates to the technical field of weld quality detection, in particular to an image-based weld quality detection method. Background technique [0002] During the welding process of the welding robot, due to the influence of environmental factors, such as: strong arc radiation, high temperature, smoke, dust, splash, groove condition, processing error, fixture clamping accuracy, surface state and workpiece thermal deformation, etc., the actual welding conditions change Often causes the torch to deviate from the weld. The existence of weld defects will weaken the force-bearing area of ​​the weld, cause stress concentration at the defect, and have adverse effects on the strength, impact toughness and cold bending performance of the connection, and will seriously affect the quality of the product. Welding quality inspection at the same time as welding can ensure the construction quality in real time and adjust the optimal construction paramet...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G01N21/95
CPCG01N21/9515
Inventor 王一刚范胜利瞿波吴陈涛程荣源吕隆斐刘思彤
Owner 宁波博视达焊接机器人有限公司
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