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Coal slime flotation reagent adding amount evaluation method based on semi-supervised clustering

A semi-supervised clustering and slime flotation technology, which is applied in the direction of instruments, character and pattern recognition, data processing applications, etc., can solve the problems of large fluctuations, low resource recovery rate, and large consumption of chemicals, so as to avoid flotation Large fluctuations in working conditions, the effect of improving the level of automation and efficiency

Active Publication Date: 2019-09-27
TAIYUAN UNIV OF TECH
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Problems solved by technology

[0005] In order to solve the problem that the current method of evaluating the amount of agent added in the process of coal slime flotation has subjective arbitrariness and hysteresis, it cannot quantify the apparent visual characteristics of the foam, and it is easy to cause large fluctuations in flotation conditions and inconsistent flotation production indicators. The technical problems of qualified, low resource recovery rate and large reagent consumption, the present invention provides a method for evaluating the addition of reagents in coal slime flotation based on semi-supervised clustering

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  • Coal slime flotation reagent adding amount evaluation method based on semi-supervised clustering
  • Coal slime flotation reagent adding amount evaluation method based on semi-supervised clustering
  • Coal slime flotation reagent adding amount evaluation method based on semi-supervised clustering

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Embodiment Construction

[0028] The present invention will be further described in detail with reference to the accompanying drawings and embodiments.

[0029] The implementation environment of the present invention is composed of foam generating equipment, light source, camera, image storage and calculation processing server and its auxiliary components. The foam generating equipment is a flotation machine, which can be an XJX-20 mechanically agitated self-priming flotation machine, and the foam generating equipment is used to provide pollution-free and stable air bubbles. The light source is a special LED ring light source for machine vision, which can provide lighting with high brightness and stable color temperature for the camera, and the light intensity can be adjusted according to the change of the environment. The camera has an infrared supplementary light function, which can clearly capture the foam surface and obtain foam images. The output image is of high quality, and its interface is easy...

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Abstract

The invention provides a coal slime flotation reagent adding amount evaluation method based on semi-supervised clustering, belongs to the field of coal slime flotation, and aims at solving the problems that an existing method has subjective randomness and lagging performance, and fluctuation of flotation working conditions is large, the resource recovery rate is low and reagent consumption is large easily. The method comprises the steps of obtaining a first number of known sample images, and determining a foam type of each known sample image; obtaining a second number of unknown sample images; extracting foam feature vectors of each known sample image and each unknown sample image to obtain a third number of mixed foam feature vectors; marking the foam feature vector of each known sample image according to the foam type of each known sample image; clustering the third number of mixed foam feature vectors by using an EM algorithm of GMM to obtain a clustering result; determining a foam type of each unknown sample image according to a clustering result; and determining whether the agent adding amount is appropriate when each unknown sample image is shot according to the foam type.

Description

technical field [0001] The invention relates to the technical field of coal slime flotation, in particular to a method for evaluating the dosage of coal slime flotation agents based on semi-supervised clustering. Background technique [0002] Coal slime flotation is mainly used in flotation equipment such as flotation machines or flotation columns to separate clean coal and tailing coal from coal slime by using the difference in hydrophilic and hydrophobic properties of the coal particle surface. The main operating variables in the slime flotation process are feed concentration, feed flow rate, flotation tank gas filling and chemical addition. Among them, the concentration, flow rate and aeration volume mainly affect the effect of coal slime flotation from the physical level, while the amount of reagent addition is the main factor affecting the effect of coal slime flotation, which is changed by changing the physical and chemical properties of the surface of coal particles. ...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06Q10/06G06Q50/02G06K9/62
CPCG06Q10/06393G06Q50/02G06F18/23
Inventor 曹文艳王然风付翔王宇龙
Owner TAIYUAN UNIV OF TECH
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