Looking for breakthrough ideas for innovation challenges? Try Patsnap Eureka!

Coal preparation system based on artificial intelligence image recognition

A technology of artificial intelligence and image recognition, which is applied in the field of coal preparation system based on artificial intelligence image recognition, can solve the problems of manual identification, waste of resources and energy, etc., and achieve the goal of improving accuracy, reducing well output, and high separation accuracy Effect

Pending Publication Date: 2020-11-20
郑鸿
View PDF0 Cites 2 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0006] In view of the above-mentioned defects of the prior art, the purpose of the present invention is to provide a coal preparation system based on artificial intelligence image recognition, to solve the coal preparation process of the prior art, which requires manual identification and picking, and wastes resources and energy defects, and is simpler in structure than other intelligent coal preparation equipment, easy to maintain, and easy to deploy underground

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
  • Coal preparation system based on artificial intelligence image recognition
  • Coal preparation system based on artificial intelligence image recognition
  • Coal preparation system based on artificial intelligence image recognition

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0045] The present invention provides a coal preparation system based on artificial intelligence image recognition. In order to make the purpose, technical solution and effect of the present invention clearer and clearer, the present invention will be further described in detail below with reference to the accompanying drawings and examples. It should be understood that the specific embodiments described here are only used to explain the present invention, not to limit the present invention.

[0046] A coal preparation system based on artificial intelligence image recognition provided by the present invention, the basic structure is as follows figure 1 As shown, it includes: at least one chute 111 for transporting coal, the downstream part of the chute 111 is close to a V-shaped cross section perpendicular to the sliding direction, that is, has a sunken central bottom, and an upwardly extending The side walls on both sides, and the upper parts of the side walls on both sides a...

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 provides a coal preparation system based on artificial intelligence image recognition. A sliding chute, the lower part of the cross section of which is close to V-shape is provided; coalmaterials fall from the above to a starting section of the sliding chute and slide to the tail end of the sliding chute and are automatically arranged in a row; when the coal materials move along thesliding chute, firstly, coal ash and coal slime on the coal materials are purged by using a spray gun, so that the coal ash and coal slime are exposed to the surface of an internal solid; and when the coal materials reach the tail end, a shooting device shoots and sends shot images to a control module in real time, the control module recognizes the coal materials into gangue or coal briquettes inreal time through an artificial intelligence image recognition technology and controls a gangue eliminating mechanism to act, and the gangue is removed from the coal briquettes. According to the coalpreparation system based on the artificial intelligence image recognition provided by the invention, the gangue separation accuracy is high, equipment is simple, the processing size fraction is wide,the processing capacity is great, and most of manpower can be replaced; and the equipment is simple and easy to maintain, is convenient to be deployed under a well, the gangue is screened out and left in the well before the coal materials are hoisted out of the well, and the amount of gangue out of the well can be effectively reduced.

Description

technical field [0001] The invention belongs to the technical field of coal mining, and in particular relates to a coal preparation system based on artificial intelligence image recognition. Background technique [0002] For a long time, the mining volume of China's coal resources has remained high, reaching several billion tons every year, and there are more than 5,000 large and small coal mines across the country. In recent years, the degree of automation of coal mining mechanization has been continuously improved, but the sorting of coal gangue has always been a difficult problem. The existence of gangue, on the one hand, increases the ash content in the coal material and reduces the quality of the raw coal. On the other hand, it will cause excessive wear and tear on the operation of the equipment in all subsequent production and transportation links, and even cause hazards such as chain stoppage. Therefore, after the raw coal is lifted into the well, the first step is t...

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
IPC IPC(8): B07C5/34B07C5/02B07C5/36
CPCB07C5/02B07C5/34B07C5/362
Inventor 郑鸿殷卫峰陈文生陈百川
Owner 郑鸿
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Patsnap Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Patsnap Eureka Blog
Learn More
PatSnap group products