Unlock instant, AI-driven research and patent intelligence for your innovation.

Vision-based coal rock recognition method, storage medium and electronic equipment

A coal and rock identification and coal rock technology, applied in the field of vision-based coal and rock identification, can solve pollution, inaccurate classification of fresh cut surfaces or falling objects, and inability to identify fresh cutting surfaces or falling objects categories, etc. problem to improve accuracy

Active Publication Date: 2021-06-29
SHENHUA SHENDONG COAL GRP +1
View PDF8 Cites 2 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0003] With the development of visual technology, more and more attention has been paid to visual technology. In order to simplify the structure of coal and rock identification equipment, reduce costs, and improve the stability of coal and rock identification equipment, a method for coal and rock identification using visual technology has been developed. However, the existing coal and rock identification methods based on vision technology do not consider the influence of dust. When the object to be identified is polluted by dust, for example, a large amount of dust is generated when the shearer cuts the coal wall or caving the top coal. When visual technology recognizes the category of fresh cutting surfaces or falling objects, due to the serious dust pollution of the collected images of the objects to be identified, the image data is no longer real coal rock image data, resulting in the identification of fresh cutting surfaces or falling objects. The category of falling objects is inaccurate, and it is even impossible to identify the category of freshly cut surfaces or cross-falling objects, which cannot meet user needs

Method used

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
View more

Image

Smart Image Click on the blue labels to locate them in the text.
Viewing Examples
Smart Image
  • Vision-based coal rock recognition method, storage medium and electronic equipment
  • Vision-based coal rock recognition method, storage medium and electronic equipment
  • Vision-based coal rock recognition method, storage medium and electronic equipment

Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0066] like figure 1 as shown, figure 1 It is a work flow chart of a vision-based coal rock identification method provided by an embodiment of the present invention, including:

[0067] Step S101: Collect image information of coal rocks to be identified, and preprocess the image information of coal rocks to be identified to generate data information of coal rocks to be identified;

[0068] Step S102: Perform linear combination processing on the coal rock data information to be identified according to the pre-stored coal rock sample data information, and calculate the coal rock sample in the coal rock sample data information and the coal rock image information to be identified The proportion of coal rocks to be identified generates coal rock expression coefficients;

[0069] Step S103: According to the coal rock expression coefficient, the coal rock category of the coal rock image information to be identified is judged.

[0070] Specifically, firstly, collect the image infor...

Embodiment 2

[0073] like figure 2 as shown, figure 2 It is a work flow chart of a vision-based coal rock identification method provided by an optional embodiment of the present invention, including:

[0074] Step S201: collecting image information of the coal sample and image information of the rock sample;

[0075] Specifically, images of coal and rock samples without dust pollution are collected, and these images contain images under imaging conditions such as different viewpoints, different illuminances, and different shooting distances as much as possible.

[0076] Step S202: Adjust the size of the coal sample image information and the rock sample image information, and perform vectorization to generate the first sub-coal and rock sample data information;

[0077] Step S203: Normalize the first sub-coal rock sample data information to generate the second sub-coal rock sample data information;

[0078] Specifically, use l 2 -norm normalizes the data information of the first sub-co...

Embodiment 3

[0123] The third embodiment of the present invention provides a storage medium, the storage medium stores computer instructions, and when the computer executes the computer instructions, it is used to execute all the steps of the aforementioned vision-based coal rock identification method.

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to View More

PUM

No PUM Login to View More

Abstract

The invention discloses a coal rock recognition method based on vision, a storage medium and electronic equipment. The method comprises the steps: collecting to-be-recognized coal rock image information, carrying out the preprocessing of the to-be-recognized coal rock image information, and generating to-be-recognized coal rock data information; performing linear combination processing on the to-be-recognized coal rock data information according to pre-stored coal rock sample data information, calculating the proportion of a coal rock sample in the coal rock sample data information to the to-be-recognized coal rock in the to-be-recognized coal rock image information, and generating a coal rock expression coefficient; and judging the coal rock category of the coal rock image information to be recognized according to the coal rock expression coefficient. By implementing the method and the device, the accuracy of recognizing the coal rock category is improved by reducing the effect of the coal rock image information polluted by dust.

Description

technical field [0001] The invention relates to the technical field of coal rock identification, in particular to a vision-based coal rock identification method. Background technique [0002] Coal and rock automatic recognition refers to using a method to automatically recognize whether the object to be recognized is coal or rock. Coal and rock identification technology can be widely used in production links such as drum coal mining, tunneling, top coal caving mining, and raw coal gangue selection. significance. [0003] With the development of visual technology, more and more attention has been paid to visual technology. In order to simplify the structure of coal and rock identification equipment, reduce costs, and improve the stability of coal and rock identification equipment, a method for coal and rock identification using visual technology has been developed. However, the existing coal and rock identification methods based on vision technology do not consider the infl...

Claims

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to View More

Application Information

Patent Timeline
no application Login to View More
Patent Type & Authority Applications(China)
IPC IPC(8): G06K9/62G06F17/16
CPCG06F17/16G06F18/214
Inventor 杨俊哲贺安民伍云霞关丙火郭爱军
Owner SHENHUA SHENDONG COAL GRP