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Automatic detecting method for appearance defects of storage battery polar plate

An appearance defect, automatic detection technology, applied in the direction of optical test defects/defects, etc., can solve the problems of human injury, low efficiency, and error-prone manual detection.

Active Publication Date: 2013-08-14
HANGZHOU DIANZI UNIV
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AI Technical Summary

Problems solved by technology

Whether it is the detection of appearance defects or the detection of components, it needs to be completed manually, and there are several problems in the following aspects: first, lead-containing materials are harmful to the human body; second, the efficiency is low; third, manual detection is prone to errors
Therefore, sampling testing is often used in the actual production process, which has great limitations.

Method used

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Experimental program
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Embodiment Construction

[0019] The present invention will be further described below.

[0020] Step (1) Obtain the grayscale image of one side of the battery plate by the linear array CCD camera I H ， where the image resolution is ; Indicates the image width, Indicates the image height.

[0021] Step (2) for I H Perform smoothing and filtering to preserve the edges to obtain the filtered image ,Specific steps are as follows:

[0022] ① yes I H every pixel in , extract four 3×3 neighborhoods of its upper left corner, upper right corner, lower left corner and lower right corner, where the coordinates of the 9 pixels of the upper left corner neighborhood are respectively , , , , , , , , ; The coordinates of the 9 pixels in the upper right neighborhood are , , , , , , , , ; The coordinates of the 9 pixels in the neighborhood of the lower left corner are , , , , , , , , ; The coordinates of the 9 pixels in the lower right neighborhood a...

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Abstract

The invention relates to an automatic detecting method for appearance defects of a storage battery polar plate. The traditional way mainly adopts a visual inspection way to detect the appearance defects of the storage battery polar plate, thereby having high boundedness. The method comprises the following steps of: firstly acquiring a grayscale image of one side of the storage battery polar plate through a linear array charge coupled device (CCD) camera, and carrying out the edge-reserved smooth filtering treatment on the grayscale image; carrying out self-adaptive threshold value segmentation for the filtered image; and finally confirming an independent noise point, counting the number of all continuous candidate defect points, and outputting a defect alarming signal when the number is greater than a set threshold value. By adopting the edge-reserved smooth method, combining with the self-adaptive threshold value segmentation technology and adequately considering the area characteristics of the defect, the appearance of the storage battery polar plate can be accurately detected in real time. The automatic detecting method can efficiently and accurately detect the appearance defect of the storage battery polar plate. The method is high in speed, high in defect detection success rate and pollution-free.

Description

technical field [0001] The invention belongs to the technical field of storage battery production, and in particular relates to an automatic detection method for appearance defects of storage battery pole plates. Background technique [0002] The battery plate is the key component of the battery. Due to the defects of raw materials and insufficient production process, battery plates may have certain defects such as appearance defects, composition defects, etc. These defects will have a fatal impact on the performance of the battery, so it is necessary to check the plates during the production process to test. At present, the appearance defects of battery plates are mainly measured visually, supplemented by calipers or rulers when necessary; component defect detection is mainly based on chemical methods. Both appearance defect detection and composition detection need to be done manually, and there are several problems in the following aspects: first, lead-containing materia...

Claims

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Application Information

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IPC IPC(8): G01N21/88
Inventor 何志伟高明煜吴占雄曾毓黄继业
Owner HANGZHOU DIANZI UNIV
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