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

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. ...

AI Technical Summary

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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