Mine adhesive tape tearing intelligent detecting system based on machine vision

Abstract

The invention provides a mine adhesive tape tearing intelligent detecting system based on machine vision, belongs to the technical field of detection and particularly relates to the mine adhesive tape tearing intelligent detecting system based on the machine vision. The invention provides the mine adhesive tape tearing intelligent detecting system based on the machine vision with the advantages that the precision is high, the speed is high, the non-contact effect is realized, and the repeatability dynamic measurement is adopted. The mine adhesive tape tearing intelligent detecting system comprises an image collecting system, an image processing system and an image analyzing and identifying system and is structurally and mainly characterized in that the image collecting system consists of a machine vision system and a light source and pickup system, the image processing system consists of an image preprocessing part and an image cutting part, and the image analyzing and identifying system consists of a feature extraction part and an understanding and identifying part.

Description

technical field

[0001] The invention belongs to the technical field of detection, and in particular relates to a machine vision-based intelligent detection system for mining tape tearing. Background technique

[0002] Belt conveyor is an important continuous transportation equipment in the coal production process. The belt is an important part of the coal mine belt conveyor. Due to the harsh operating environment, belt tearing accidents occur from time to time. Since the 1970s, countries all over the world have started research on tape tear protection technology, such as embedding method, force measurement method, ultrasonic scanning, and X-ray flaw detection. Apply reliably. Contents of the invention

[0003] The present invention aims at the above problems, and provides a high-precision, fast, non-contact and repeatable dynamic measurement intelligent mining tape tearing detection system based on machine vision.

[0004] In order to achieve the above object, the prese...

Examples

Embodiment Construction

[0011] The invention includes an image acquisition system, an image processing system, an image analysis and recognition system, the image acquisition system is composed of a machine vision system, a light source and an ingestion system, the image processing system is composed of an image preprocessing part and an image segmentation part, and the image analysis and recognition system It consists of a feature extraction part and an understanding and recognition part.

[0012] The image preprocessing part includes grayscale, image enhancement, and image filtering preprocessing processes. Its functions are: grayscale reduces the amount of image data; image enhancement adopts the method of histogram enhancement to improve the contrast of the image; image filtering process removes uncertain noise mixed in the image while enhancing the image contrast. The image segmentation process uses different segmentation algorithms to separate the damaged tape area from the background area.

...

technical field

[0001] The invention belongs to the technical field of detection, and in particular relates to a machine vision-based intelligent detection system for mining tape tearing. Background technique

[0002] Belt conveyor is an important continuous transportation equipment in the coal production process. The belt is an important part of the coal mine belt conveyor. Due to the harsh operating environment, belt tearing accidents occur from time to time. Since the 1970s, countries all over the world have started research on tape tear protection technology, such as embedding method, force measurement method, ultrasonic scanning, and X-ray flaw detection. Apply reliably. Contents of the invention

[0003] The present invention aims at the above problems, and provides a high-precision, fast, non-contact and repeatable dynamic measurement intelligent mining tape tearing detection system based on machine vision.

[0004] In order to achieve the above object, the prese...

Examples

Embodiment Construction

[0011] The invention includes an image acquisition system, an image processing system, an image analysis and recognition system, the image acquisition system is composed of a machine vision system, a light source and an ingestion system, the image processing system is composed of an image preprocessing part and an image segmentation part, and the image analysis and recognition system It consists of a feature extraction part and an understanding and recognition part.

[0012] The image preprocessing part includes grayscale, image enhancement, and image filtering preprocessing processes. Its functions are: grayscale reduces the amount of image data; image enhancement adopts the method of histogram enhancement to improve the contrast of the image; image filtering process removes uncertain noise mixed in the image while enhancing the image contrast. The image segmentation process uses different segmentation algorithms to separate the damaged tape area from the background area.

...