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Belt crack detection method based on image recognition

A detection method and image recognition technology, applied in measurement devices, optical testing flaws/defects, instruments, etc., can solve problems such as inability to guarantee accuracy, reduce the service life of the carrier belt, and inability to quickly locate the location of the tearing part, to avoid The effect of false alarms

Pending Publication Date: 2022-02-01
HUANENG POWER INTERNATIONAL +1
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Problems solved by technology

[0002] Conveyor belts are widely used in coal mine production, metallurgy and other industrial fields. Since the transported materials are often mixed with various sharp impurities, after long-term use of the conveyor belt, there will be tear cracks extending horizontally / vertically, which seriously reduces the carrying capacity. belt life
In the existing technology, the tear detection of the transmission belt based on image recognition cannot guarantee the accuracy during the belt operation monitoring, and it is easy to generate false alarms and affect the production, and at the same time, it is impossible to quickly locate the torn part

Method used

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  • Belt crack detection method based on image recognition

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Embodiment 1

[0032] A belt crack detection method based on image recognition, comprising:

[0033] Step 1: Operate the first camera to collect the belt surface image of the belt surface at a frequency of 1 per second, the first camera is a fixed camera and is vertically fixed directly above the middle section of the belt to be detected in the circular transmission;

[0034] Step 2: Transmit the surface image obtained by the first camera to the background system for recognition calculation, and output the tear recognition judgment; if the tear recognition judgment is true, then jump to step 3;

[0035] Step 3: Collect the belt surface image of the belt surface with the second camera, the second camera is installed on the inspection robot; the inspection robot is installed on the slide rail and reciprocates along the extension direction of the slide rail; the slide rail Parallel to directly above the endless drive belt.

[0036] Step 4: Transmit the surface image obtained by the second came...

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Abstract

The invention relates to a belt crack detection method based on image recognition. The method comprises the following steps: 1, acquiring a belt surface image of the surface of a belt by using a first camera; 2, transmitting the belt surface portrait obtained in the step 1 to a background system for identification operation, and outputting tearing identification judgment; if the tearing identification is true, skipping to the step 3; 3, collecting a belt surface portrait of the belt surface through a second camera; 4, transmitting the belt surface portrait obtained in the step 3 to a background system for recognition operation, and outputting tearing recognition judgment; and if the tearing identification is true again, outputting an alarm. According to the method, the monitoring precision can be guaranteed during belt operation monitoring, false alarms are reduced, and the damaged position of the belt is rapidly positioned.

Description

technical field [0001] The invention relates to a belt crack detection method based on image recognition. Background technique [0002] Conveyor belts are widely used in coal mine production, metallurgy and other industrial fields. Since the transported materials are often mixed with various sharp impurities, after long-term use of the conveyor belt, there will be tear cracks extending horizontally / vertically, which seriously reduces the carrying capacity. The service life of the belt. In the existing technology, the tear detection of the transmission belt based on image recognition cannot guarantee the accuracy during the belt operation monitoring, and it is easy to generate false alarms and affect the production, and at the same time, it is impossible to quickly locate the torn part. Therefore, how to develop a more advanced belt crack detection method to overcome the above problems is a research direction for those skilled in the art. Contents of the invention [0003...

Claims

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Application Information

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IPC IPC(8): G01N21/88G01N21/898
CPCG01N21/8851G01N21/898
Inventor 陈逸季承王天宇龚孜诣江辉林义杰顾孟贤朱佳俊高巍
Owner HUANENG POWER INTERNATIONAL
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