Belt coal flow visual identification method

A technology for visual recognition and coal flow, applied in the field of image recognition, can solve the problem that the detection accuracy is easily affected by the environment, and achieve the effect of accurate recognition results

Pending Publication Date: 2022-02-15
BEIJING HUANENG XINRUI CONTROL TECH
View PDF0 Cites 0 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

However, the inventor found that the current two implementation methods have the disadvantage that the detection accuracy is easily affected by the environment, and need to be improved.

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
  • Belt coal flow visual identification method
  • Belt coal flow visual identification method
  • Belt coal flow visual identification method

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0035] In order to enable those skilled in the art to better understand the technical solutions of the present invention, the present invention will be described in detail below in conjunction with the accompanying drawings and specific embodiments.

[0036] Various aspects and features of the invention are described herein with reference to the accompanying drawings.

[0037] These and other characteristics of the invention will become apparent from the following description of preferred forms of embodiment given as non-limiting examples with reference to the accompanying drawings.

[0038] It should also be understood that although the present form has been described with reference to a number of specific examples, they have the features set forth in the claims and are therefore within the scope of protection defined thereby.

[0039] The above and other aspects, features and advantages of the present invention will become more apparent in view of the following detailed desc...

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 relates to a belt coal flow visual identification method. The method comprises the following steps: projecting lattice structure light onto a coal conveying belt, and forming lattice light spots on the coal conveying belt and coal materials; collecting image information on the coal conveying belt under irradiation of the lattice structure light; extracting lattice light spot features in the image information to form lattice cloud information; performing three-dimensional reconstruction according to the lattice cloud information to obtain a three-dimensional model of the coal materials on the coal conveying belt in a preset time period; performing slicing processing on the three-dimensional model at a preset interval to obtain slice images; projecting the slice images to a two-dimensional coordinate system; estimating weight of the coal materials corresponding to the single slice image according to the area of the slice images and the preset interval; and accumulating all slices to obtain a weight estimation value of the coal materials in the preset time period, and calculating flow information of the coal materials in unit time according to the weight estimation value. According to the belt coal flow visual identification method provided by the invention, a more accurate identification result can be obtained.

Description

technical field [0001] The invention relates to an image recognition method, in particular to a visual recognition method of belt coal flow. Background technique [0002] At present, the belt conveyor is the main means of ground and underground coal transportation, and the belt conveyor is also the main equipment for coal production and transportation. In order to accurately detect the amount of coal conveyed, the coal flow detection on the belt conveyor is also an important link in coal production or transportation operations. At present, the means of detecting the coal flow on the coal conveyor belt mainly focus on two aspects, one is realized through the coal flow sensor, and the other is detected through the method of visual recognition. However, the inventors have found that both of the current implementation methods have the disadvantage that the detection accuracy is easily affected by the environment, which needs to be improved. Contents of the invention [0003]...

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): G06T7/00G06T7/66G06T17/00
CPCG06T7/0004G06T7/66G06T17/00G06T2207/10028G06T2207/30108
Inventor 孙晓刚孙新佳刘鹏飞刘畅赵霄桁
Owner BEIJING HUANENG XINRUI CONTROL TECH
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Try Eureka
PatSnap group products

Browse by: Latest US Patents, China's latest patents, Technical Efficacy Thesaurus, Application Domain, Technology Topic.

© 2024 PatSnap. All rights reserved.Legal|Privacy policy|Modern Slavery Act Transparency Statement|Sitemap