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Refractory brick measuring system based on machine vision

A technology of machine vision and refractory bricks, which is applied in the direction of measuring devices, instruments, optical testing defects/defects, etc., can solve problems affecting steel production, prone to misjudgment, and failure to build, so as to shorten the production cycle, simplify the mechanical structure, The effect of improving productivity

Active Publication Date: 2019-09-27
SHANDONG IND TECH RES INST OF ZHEJIANG UNIV
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  • Abstract
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  • Application Information

AI Technical Summary

Problems solved by technology

[0004] In the production process of refractory bricks, the dust and smoke are relatively large, and the vibration and noise of the press are very harmful to the physical and mental health of workers. Moreover, many defects are judged by workers based on experience, which is greatly affected by subjective factors, and it is impossible to establish a unified evaluation standard.
In addition, in the process of mass production, this process not only consumes a lot of labor costs, but also repetitive and monotonous measurement and observation work can easily cause personnel fatigue and misjudgment. Serious economic loss, even seriously affecting the production of steel

Method used

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  • Refractory brick measuring system based on machine vision
  • Refractory brick measuring system based on machine vision
  • Refractory brick measuring system based on machine vision

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Experimental program
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Effect test

Embodiment 1

[0066] Such as Figure 1-3 As shown, the refractory brick measuring device based on machine vision includes an image acquisition module 1, a control module 2, an image processing module 3 and a feedback module 4. The image acquisition module 1 has a base 11, and the base 11 is provided with a three-structure light laser sensor The guide rail 13 of 12, the stepper motor 15 drives the three-structured light laser sensor 12 to move through the coupling 16, the turntable 14 carrying the refractory brick is fixed on the base 11, and the three-structured light laser sensor 12 is aligned with the surface of the refractory brick to be tested and scanned 4 end faces of the refractory bricks to be tested; the input end of the control module 2 is connected with the image acquisition module 1, and the output end of the control module 2 is respectively connected with the image processing module 3 and the feedback module 4, the feedback module 4 includes a travel switch, and executes the eli...

Embodiment 2

[0219] The scratches on the surface of refractory bricks are relatively shallow, but in the process of smelting steel, the penetration corrosion phenomenon will become more and more serious with the passage of time, which will eventually affect the service life of refractory bricks and bring quality and performance impact. Therefore, the surface scratch detection of refractory bricks is particularly important.

[0220] A method for identifying scratches on the surface of refractory bricks based on frequency domain filtering enhancement, including:

[0221] Step 1: collect the original image of the refractory brick, the original image is a color image, carry out channel separation to the original color image of the refractory brick, and obtain the G channel image;

[0222] Step 2: Process the G channel image from the perspective of the frequency domain, perform two-dimensional discrete Fourier transform and frequency domain filtering and smoothing on the G channel image, and o...

Embodiment 3

[0293] In the production process of refractory bricks, in addition to the surface scratches caused by contact, some deep defects will also be caused by the loss of the mold: pits, pockmarked surfaces and missing corners and edges. The image data collected by the Gocator2350 sensor is the color point cloud data that is fused together with the image data and the 3D point cloud. In this regard, depth defects can be analyzed from the height information in the point cloud data.

[0294] The data collected by the sensor is color point cloud data, and its coordinate system is based on the sensor pose. Therefore, it is first necessary to fit the measured upper surface of the refractory brick, and perform height segmentation along its normal direction to obtain depth defect information.

[0295] A method for identifying depth defects in refractory bricks based on height histogram segmentation, comprising the following steps:

[0296] Step 1. Use the structured light sensor to obtain t...

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Abstract

The invention discloses a refractory brick measuring system based on machine vision. A refractory brick measuring device based on machine vision and a refractory brick measuring method based on machine vision are provided. The refractory brick measuring system which can detect the shape and the geometric dimension of a refractory brick without painting on the measured end face and can obtain the surface scratch information, the depth defect information and the surface inclination angle of the refractory brick is provided.

Description

technical field [0001] The invention relates to a fire resistance measurement system based on machine vision. [0002] technical background [0003] Refractory brick is a shaped refractory material fired with refractory clay or other refractory raw materials. It is mainly used to build smelting furnaces or ladles, and can withstand high temperatures of 1580°C-1770°C. On the production line of refractory bricks, before the products are off-line and packed, manual measurement with a tape measure has been used for a long time to judge depth defects with the naked eye, such as missing corners, missing edges and pitted surfaces of refractory bricks. [0004] In the production process of refractory bricks, the dust and smoke are relatively large, and the vibration and noise of the press are harmful to the physical and mental health of workers. Moreover, many defects are judged by workers based on experience, which is greatly influenced by subjective factors, and it is impossible to...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G01N21/88G01B11/24G01B11/30
CPCG01B11/24G01B11/30G01N21/88
Inventor 曹衍龙张远松杨将新王敬孙安顺董献瑞
Owner SHANDONG IND TECH RES INST OF ZHEJIANG UNIV
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