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A tire angle property detection method based on point cloud data

A technology of point cloud data and detection methods, applied in image data processing, instruments, calculations, etc., can solve problems such as tire scrap, wrong scraper selection in production lines, and no tire corner property detection, etc. The effect of saving labor costs

Inactive Publication Date: 2019-02-22
CHINA UNIV OF PETROLEUM (EAST CHINA)
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

The judgment of the tire corner properties plays a decisive role in the selection of the scraper type. If the tire corner properties are judged incorrectly, the wrong scraper will be selected by the production line, which will make the produced tires not meet the requirements, and eventually lead to the scrapping of the tires.
[0003] At present, there is no literature on the detection of tire corner properties based on point cloud data.

Method used

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  • A tire angle property detection method based on point cloud data
  • A tire angle property detection method based on point cloud data
  • A tire angle property detection method based on point cloud data

Examples

Experimental program
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Effect test

Embodiment 1

[0038] In order to accurately detect the properties of tire tire corners in the tire production line and improve production efficiency, this embodiment provides a method such as figure 1 A kind of tire tire corner property detection method based on point cloud data as shown, comprises the following steps:

[0039] Step 1), using a three-dimensional point cloud laser imaging device to scan the tire to be detected in the production line;

[0040] Step 2), according to the tire point cloud data of collection, position tire tire angle position by image processing method;

[0041] Step 3), according to the collected tire point cloud data, the property of the tire tire corner is determined by calculating the curvature of the main direction of the tire tire corner position.

[0042] Step 2) described in the location of tire tire angle position by image processing method is carried out as follows:

[0043] (1) remove the point cloud data that does not belong to the tire part accordi...

Embodiment 2

[0060] In this embodiment, on the basis of Embodiment 1, the effects of the present invention are further described.

[0061] with the method of the present invention image 3 The sharp tire point cloud data in the processing:

[0062] In the first step, use the method in step 2) to select part of the point cloud data, according to Figure 4 The method slices the selected point cloud to obtain 41 pieces of image data;

[0063] In the second step, the method in step 2) is used to determine the tire tire angle position in each image, such as Figure 5 ;

[0064] The third step is to use the method in step 3) to calculate the normal vector of each data point in the selected point cloud, such as Figure 6 ;

[0065] The fourth step is to use the method in step 3) to calculate the larger value of the main direction curvature of the selected point cloud data point, and count the number of ridge lines according to the corner position, as shown in Figure 7 ;

[0066] In the fi...

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Abstract

The invention belongs to the tire production field in the chemical industry, in particular to a tire angle property detection method based on point cloud data, which comprises the following steps: 1)scanning a tire to be detected in a production line by using a three-dimensional point cloud laser imaging device; 2) positioning the tire angle position through an image processing method according to the collected tire point cloud data; 3) judging the tire angle property by calculating the main direction curvature of the tire angle position according to the scanned tire point cloud data. The invention solves the problems of low identification accuracy and large error of the tire angle property in the prior art, greatly reduces the labor intensity and improves the detection efficiency.

Description

technical field [0001] The invention belongs to the field of tire production in the chemical industry, and in particular relates to a tire angle property detection method based on point cloud data. Background technique [0002] In the tire production process, it is necessary to select the corresponding scraper on the production line according to the tire corner properties of the tire embryo to cut the tire corner into the shape required by the finished tire. The determination of the tire corner properties plays a decisive role in the selection of the scraper type. If the tire corner properties are judged wrong, the production line will choose the wrong scraper, which will make the produced tires not meet the requirements, and eventually lead to tire scrapping. [0003] At present, there is no literature on tire corner property detection based on point cloud data. Contents of the invention [0004] The purpose of the present invention is to improve the accuracy of judging ...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06T7/00G06T7/70
CPCG06T7/0004G06T2207/10028G06T2207/20164G06T7/70
Inventor 吕新荣任鹏李鹏姜向远
Owner CHINA UNIV OF PETROLEUM (EAST CHINA)
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