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Blast furnace material type identification method, device and system based on image multivariate features

A recognition method and image technology, applied in character and pattern recognition, instruments, computer parts, etc., can solve the problem of low recognition accuracy of blast furnace material, and achieve the effect of great application value, high accuracy and good real-time performance.

Pending Publication Date: 2022-01-04
CENT SOUTH UNIV +1
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0011] The method and system for identifying blast furnace material types based on image multivariate features provided by the present invention solves the technical problem of low identification accuracy of existing blast furnace material types

Method used

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  • Blast furnace material type identification method, device and system based on image multivariate features
  • Blast furnace material type identification method, device and system based on image multivariate features
  • Blast furnace material type identification method, device and system based on image multivariate features

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Embodiment 1

[0067] The method for identifying blast furnace materials based on image multivariate features provided in Embodiment 1 of the present invention includes:

[0068] Step S101, collecting a high frame rate material transportation video, and converting the high frame rate material transportation video into a frame image;

[0069] Step S102, selecting the area in the frame image that includes the material horizontal area in the entire area as the material area image;

[0070] Step S103, extracting multivariate features of the image of the material area, the multivariate features include color features, texture features, grayscale features and material density distribution features;

[0071] In step S104, a classifier is trained according to the multivariate features of the material area image, and the blast furnace material type is identified according to the trained classifier.

[0072] The blast furnace material type identification method based on image multiple features provid...

Embodiment 2

[0074] The method for identifying blast furnace species based on image multivariate features provided in Embodiment 2 of the present invention includes:

[0075] S1: Use a high-speed camera to capture the material transportation status of the blast furnace feeding belt, and obtain a high frame rate material transportation video;

[0076] S2: Convert the high frame rate material transportation video into a frame image, extract the ROI image area of ​​the frame image, and perform multi-scale adaptive median filtering on the ROI image area to obtain the preprocessed material area image;

[0077] S3: Carry out image classification, recognition and labeling on the preprocessed material area image to obtain the label image, and divide the label image into a training set and a test set;

[0078] S4: Extract the color features, texture features, grayscale features and density distribution features of the images in the training set, and train a classifier according to the color feature...

Embodiment 3

[0130] The specific embodiment of the present invention is further described in conjunction with the accompanying drawings, and the embodiment of the present invention is applied to a 2650m 3 On the feeding system of the blast furnace, on the feeding belt of the feeding system according to Figure 4 Install high-speed cameras and other devices. In terms of camera selection, the most important thing is the parameter selection of frame rate and resolution. A suitable frame rate can capture the transportation status of materials, and sufficient resolution can provide more detailed information on the image. In order to meet the above conditions, the industrial camera has a resolution of 1280×720 and a frame rate of 240.

[0131] Depend on Figure 4 It can be seen that the device includes a high-speed camera bracket, a high-speed camera protective shell, a high-speed camera cleaning device, a high-speed camera, a conveyor belt, materials to be identified, a video acquisition unit...

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Abstract

The invention discloses a blast furnace material type identification method, device and system based on image multivariate characteristics, and the method comprises the steps: collecting a high-frame-rate material transportation video, converting the high-frame-rate material transportation video into a frame image, selecting a region, which comprises a material transverse region, in the frame image as a material region image, extracting the multi-element features of the material area image, wherein the multi-element features comprise color features, texture features, gray features and material density distribution features; training a classifier according to the multi-element features of the material area image, and identifying the blast furnace charge type according to the trained classifier, so that the technical problem of low recognition precision of the blast furnace material type in the prior art is solved, the types of the materials are recognized through the multi-element features, the types of the materials currently conveyed by the feeding belt of the blast furnace can be accurately recognized, the recognition accuracy is high, the real-time performance is good, and the method, device and system have great application value.

Description

technical field [0001] The invention mainly relates to the field of blast furnace material type detection, in particular to a blast furnace material type identification method and system based on image multivariate features. Background technique [0002] By consuming the "reducing agent", the blast furnace converts iron ore in the form of lump ore, sinter and pellets into molten iron, and the gangue and coke from the ore charge and the ash in the coal form slag. Charges and coke arrive at the bunker, where they are stored, screened and weighed before being finally fed into the blast furnace. Charges and coke are transported by independent belts. After passing through the vibrating screen, the charge and coke that meet the requirements are obtained, and then fall to the weighing hopper. Once the set weight is reached, the screening is suspended. Once there is charge or coke in the weighing hopper and the valve of the weighing hopper is opened, it will fall directly to the ma...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06K9/00G06K9/62
CPCG06F18/2411G06F18/214
Inventor 蒋朝辉余金花刘金狮何瑞清桂卫华张海峰
Owner CENT SOUTH UNIV
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