Strip steel edge defect detection identification method

A strip steel edge and defect detection technology, applied in the field of cold rolling manufacturing industry, can solve problems such as difficulty in automatic identification technology, and achieve the effect of improving detection precision and accuracy, and accurate and rapid detection

Active Publication Date: 2015-04-22
EAST CHINA UNIV OF SCI & TECH
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Problems solved by technology

Due to the complex and diverse forms of edge defects of strip steel after rolling, the existing domestic and foreign defect identification technologies cannot form a comple

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  • Strip steel edge defect detection identification method
  • Strip steel edge defect detection identification method
  • Strip steel edge defect detection identification method

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[0032] The specific implementation of the method for detecting and recognizing strip steel edge defects of the present invention will be described in detail below with reference to the accompanying drawings.

[0033] High-precision laser surface topography measurement technology has developed rapidly in recent years. Today, the measurement accuracy and scanning frequency of civilian-level line laser technology have reached 0.01mm and 30Hz, respectively, which basically meets the conventional industrial requirements. The strip edge defect recognition technology developed based on the laser surface profile measurement technology has important academic value and engineering significance for improving the quality of high-performance cold-rolled sheets in my country and developing and forming high-precision defect detection technology.

[0034] See attached figure 1 , The detection and recognition method for strip edge defects of the present invention includes the following steps:

[0035...

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Abstract

The invention relates to the technical field of the cold rolling manufacturing industry, and discloses a strip steel edge defect detection identification method. The method includes the following steps: 1, generating morphologic data; 2, generating the rectangular morphology grey-scale image of the strip steel edge; 3, converting the rectangular morphology grey-scale image to form an annular morphology gray image; 4, carrying out binaryzation processing on the annular morphology grey-scale image to obtain a binary image; 5, carrying out contour detection on the binary image to obtain a defect area; 6, extracting the coordinates, the area and the grey average of the defect area; and 7, corresponding the defect area to the actually detected strip steel edge to obtain the defect position coordinates, the defect area, the defect length and width size and the defect depth of the actual strip steel edge. The method can be used to quickly and accurately detect the edge defects of strip steel coils, improves the detection precision and accuracy, and finally provides an edge detection report of the detected steel coils.

Description

technical field [0001] The invention relates to the technical field of cold-rolling manufacturing industry, in particular to a detection and recognition method for edge defects of strip steel. Background technique [0002] In recent years, with the advancement of cold-rolled manufacturing technology, cold-rolled sheets have been used more and more in the fields of automobiles, chemicals, energy, and construction. Compared with hot-rolled sheets, cold-rolled sheets have the advantages of good shape, fast forming, and high surface precision, and are more in line with the process requirements of advanced manufacturing equipment. However, in the process of cold-rolled steel strip manufacturing, various irregularities on the edge of the rolled strip are often caused by the original edge defects of the hot-rolled plate, metallurgical holes in the material itself, disc shear wear, and uneven edge tension. Edge defects such as edge splits and folds. Such defects not only affect th...

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Application Information

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IPC IPC(8): G01N21/95
Inventor 陈建钧陈杰吕栋炜陈国宁金正洋
Owner EAST CHINA UNIV OF SCI & TECH
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