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A method for evaluating the homogeneity of molten glass

A glass fluid and homogeneity technology, which is applied in image analysis, data processing applications, instruments, etc., can solve problems such as difficulty in judging areas with similar colors, analysis errors, and urgent need to improve the accuracy of medium homogenization evaluation, etc., to achieve easy operation , avoid large errors, eliminate the effect of human interference

Active Publication Date: 2021-01-01
DONGXU OPTOELECTRONICS TECH CO LTD
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

These methods are highly subjective, and different people have certain differences in the perception of color, and it is difficult to judge areas with similar colors, resulting in large errors in the analysis process
The evaluation accuracy of the homogenization degree of the medium needs to be improved urgently

Method used

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  • A method for evaluating the homogeneity of molten glass
  • A method for evaluating the homogeneity of molten glass
  • A method for evaluating the homogeneity of molten glass

Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0052] Select the mixing process of red silicone oil and colorless silicone oil to simulate the homogenization process of the glass melt, and use the process parameters 1 and 2 of the homogenized glass melt to simulate respectively. The flow rate of the glass melt in parameter 1 and parameter 2 is 330Kg / h. They are all located at a distance of 60mm from the bottom of the mixing tank. The difference between parameter 1 and parameter 2 lies in the stirring speed. The stirring speed of parameter 1 is 8rpm, and the stirring speed of parameter 2 is 10rpm; the mixing of red silicone oil and no Color silicone oil photos, extract the R, G, B value of each pixel, and calculate the weighted R, G, B value of each pixel: f (RGB) =R*P R +G*P G +B*P B , where P i =1 / 3, i=R, G, B, namely:

[0053] Q=1 / 3×R+1 / 3×G+1 / 3×B,

[0054] Each pixel gets a corresponding Q value, 1000 pixels are extracted and weighted for each simulation parameter, and the frequency of each Q value is counted, and t...

Embodiment 2

[0057] The mixing process of red silicone oil and colorless silicone oil is selected to simulate the homogenization process of glass liquid, and the process parameters 3 and 4 of the homogenized glass liquid are used for simulation respectively. Both are 9rpm, and the difference between parameter 3 and parameter 4 lies in the position of the stirring rod. The stirring rod of parameter 3 is located at a position 80mm away from the bottom of the mixing tank, and the stirring rod of parameter 4 is located at a position 50mm away from the bottom of the mixing tank; respectively, parameters 3 and The photo of mixed red silicone oil and colorless silicone oil under parameter 4 extracts the R, G, and B values ​​of each pixel, and converts the R, G, and B values ​​of each pixel into a YUV color model, namely:

[0058] Y=0.3*R+0.59*G+0.11*B

[0059] U=(B-Y)*0.493

[0060] V=(R-Y)*0.877

[0061] The Y, U, and V values ​​​​obtained by each pixel are weighted to obtain the Q value corre...

Embodiment 3

[0067] The mixing process of blue silicone oil and colorless silicone oil is selected to simulate the homogenization process of glass melt, and the process parameters 5 and 6 of the homogenized glass melt are respectively used for simulation. The stirring speed of parameter 5 and parameter 6 is 10rpm, and the stirring rods are located at At a position 60mm from the bottom of the mixing tank, the difference between parameter 5 and parameter 6 lies in the flow rate of the glass liquid, the flow rate of parameter 5 is 300kg / h, and the flow rate of parameter 6 is 350Kg / h; the blue silicone oil mixed with parameter 5 and parameter 6 was photographed respectively And the photo of colorless silicone oil, extract the R, G, B value of each pixel, convert the R, G, B value of each pixel into the HSV color model, namely:

[0068]

[0069]

[0070] V=max

[0071] Among them, max=max(R, G, B); min=min(R, G, B);

[0072] Perform weighted calculations on HSV to obtain the Q value of e...

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Abstract

The invention relates to a method for evaluating the homogeneity of molten glass, which comprises the following steps: S1. Simulating the homogenization process of molten glass with a liquid medium homogenization process in a glass liquid homogenization simulation device (1), and photographing the liquid medium From the photo of the medium flow during the homogenization process, extract the R value, G value and B value corresponding to the color of each pixel in the photo; S2. Perform weighted calculations on the R value, G value and B value of each pixel to obtain each pixel The Q value of the color; S3. Carry out mathematical statistics on the difference between the Q values ​​of different pixel colors, obtain the statistical parameter value representing the homogenization degree of the liquid medium, and then evaluate the uniformity of the glass liquid. The method for evaluating the homogeneity of molten glass accurately evaluates the degree of homogenization of molten glass through computer vision technology, color model conversion, mathematical statistics, and scientific and reasonable calculation of specific values.

Description

technical field [0001] The invention relates to glass production technology, in particular to a method for evaluating the homogeneity of molten glass. Background technique [0002] In recent years, portable electronic products such as LCD TVs, notebook computers, and smart phones have become popular rapidly, and flat panel displays (FPDs) with features such as thinness, lightness, high resolution, and high image quality have become popular among the public. Substrate glass is an important part of FPD. With the continuous development of technology and the continuous improvement of people's needs, the quality requirements of substrate glass are becoming more and more stringent. Especially the stripe quality, the stripe defect seriously affects the optical uniformity of the substrate glass, which is not conducive to the improvement of the quality of terminal display products. [0003] In order to improve the uniformity of the substrate glass, physical simulation methods are of...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06F17/18G06T7/90G06Q50/04
CPCG06F17/18G06Q50/04G06T7/90Y02P90/30
Inventor 王肖义周波王丽红严永海郑权李青
Owner DONGXU OPTOELECTRONICS TECH CO LTD
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