Corrugated board production quality regulation and control method based on machine vision

A corrugated cardboard, production quality technology, applied in the field of artificial intelligence, to achieve the effect of reducing labor intensity, improving product quality, reducing defective and scrapped products

Active Publication Date: 2022-01-14
武汉春田纸品包装有限公司
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0004] The invention provides a method for controlling the production quality of corrugated cardboard based on machine vision to solve the existing problems, including: acquiring the grayscale image of the target surface; acquiring the grayscale gradient direction of each pixel; calculating the defect of each pixel Probability; establish a grayscale histogram, calculate the background probability value of each grayscale level, and obtain the background area of ​​the grayscale image; calculate the abnormality degree of each pixel in the grayscale image, and construct all abnormality degree sequences in the grayscale image

Method used

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  • Corrugated board production quality regulation and control method based on machine vision
  • Corrugated board production quality regulation and control method based on machine vision
  • Corrugated board production quality regulation and control method based on machine vision

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Embodiment 1

[0040] Such as figure 1 As shown, a schematic structural diagram of a method for controlling the production quality of corrugated cardboard based on machine vision according to an embodiment of the present invention is provided, including:

[0041] 101. Collect the target surface image and perform grayscale processing to obtain the target surface grayscale image; acquire the grayscale gradient direction of each pixel in the grayscale image.

[0042] The scenarios targeted by this embodiment are:

[0043] First, the corrugated cardboard is pressed by a high-temperature, high-humidity corrugated roller with gears to form a corrugated paper core with alternating concave and convex shapes. The corrugated paper core is in contact with the roller with glue and then bonded with the face paper. After drying at high temperature, the corrugated cardboard is formed. Acquisition of grayscale images of corrugated cardboard surfaces. The corrugated cardboard produced is sampled, and the g...

Embodiment 2

[0063] Such as figure 2 As shown, another method for controlling the production quality of corrugated cardboard based on machine vision in the embodiment of the present invention is provided, including:

[0064] 201. Collect the target surface image and perform grayscale processing to obtain the target surface grayscale image; acquire the grayscale gradient direction of each pixel in the grayscale image.

[0065] The scenarios targeted by this embodiment are:

[0066] First, the corrugated cardboard is pressed by a high-temperature, high-humidity corrugated roller with gears to form a corrugated paper core with alternating concave and convex shapes. The corrugated paper core is in contact with the roller with glue and then bonded with the face paper. After drying at high temperature, the corrugated cardboard is formed. Acquisition of grayscale images of corrugated cardboard surfaces.

[0067] Sampling the corrugated cardboard produced, analyzing the collected grayscale imag...

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Abstract

The invention discloses a corrugated board production quality regulation and control method based on machine vision, relates to the field of artificial intelligence, and is mainly used for mechanical parameter control of corrugated board production. The method comprises the steps of obtaining a target surface grayscale image; obtaining the gray gradient direction of each pixel point; calculating the defect probability of each pixel point; establishing a gray level histogram, calculating a background probability value of each gray level, and obtaining a background region of the gray level image; calculating the abnormal degree of each pixel point in the grayscale image, and constructing a sequence of all abnormal degrees in the grayscale image; calculating an influence degree value of each abnormal degree sequence to obtain an overall influence degree value of the target surface image; and adjusting production machinery parameters according to the overall influence degree value of the target image. According to the technical means provided by the invention, the influence degree of the defect is calculated through the target surface grayscale image, so that the mechanical parameters are adjusted, and the product quality and the production efficiency are improved.

Description

technical field [0001] The invention relates to the field of artificial intelligence, in particular to a method for controlling the production quality of corrugated cardboard based on machine vision. Background technique [0002] Corrugated cardboard is one of the most important materials in packaging and transportation, and it is also the raw material for the production of corrugated boxes. Corrugated cardboard can improve the strength of simple paper, but also has a certain degree of elasticity. Corrugated cardboard usually glues several layers of paper together, and also presses paper in the middle to form rows of concave and convex alternates like a roof tile, so this kind of cardboard is also called corrugated cardboard. The bonding state between papers determines the quality of corrugated cardboard. In the production process of corrugated cardboard, the unstable state of the adhesive will lead to various defects, such as degumming of the trimming edge of the cardboard...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G05B19/418
CPCG05B19/41875G05B2219/32368
Inventor 李希
Owner 武汉春田纸品包装有限公司
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