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Method for predicting ash content of clean coal in flotation process

A flotation process and prediction method technology, applied in the direction of prediction, instrumentation, data processing applications, etc., can solve the problem that clean coal ash cannot be detected effectively, accurately and quickly, and achieve real-time online continuous detection, accurate and fast detection, The effect of improving the utilization rate of mineral resources

Pending Publication Date: 2022-08-02
CHINA UNIV OF MINING & TECH
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Problems solved by technology

[0005] In view of the above analysis, the embodiment of the present invention aims to provide a method for predicting the ash content of clean coal in the flotation process to solve the problem that the existing flotation clean coal ash content cannot be effectively, accurately and quickly detected

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  • Method for predicting ash content of clean coal in flotation process
  • Method for predicting ash content of clean coal in flotation process
  • Method for predicting ash content of clean coal in flotation process

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Embodiment Construction

[0043] The preferred embodiments of the present invention are specifically described below with reference to the accompanying drawings, wherein the accompanying drawings constitute a part of the present application, and together with the embodiments of the present invention, are used to explain the principles of the present invention, but are not used to limit the scope of the present invention.

[0044] A specific embodiment of the present invention discloses a method for predicting the ash content of clean coal in a flotation process. The flow chart is as follows: figure 1 shown, including the following steps:

[0045] Step S1: collect data in real time, including flotation froth image, tailings image, flotation feed concentration, flotation feed flow and flotation liquid level;

[0046] Step S2: Input the flotation froth image collected in real time into the trained main model for predicting the clean coal ash content, and obtain the predicted value of clean coal ash conten...

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Abstract

The invention relates to a method for predicting the ash content of clean coal in the flotation process, belongs to the technical field of key index prediction in the coal dressing industry, and solves the problem that the ash content of existing flotation clean coal cannot be effectively, accurately and rapidly detected. The method comprises the following steps: collecting data in real time, wherein the data comprises a flotation froth image, a tailing image, flotation feeding concentration, flotation feeding flow and flotation liquid level; inputting a flotation froth image collected in real time into the trained clean coal ash content prediction main model, and processing to obtain a clean coal ash content prediction value; performing normalization processing on the gray characteristic value, the flotation feeding concentration, the flotation feeding flow and the flotation liquid level of the tailing image acquired in real time, and inputting the gray characteristic value, the flotation feeding concentration, the flotation feeding flow and the flotation liquid level after normalization processing into the trained clean coal ash content prediction compensation model; processing to obtain a clean coal ash content error prediction value; and compensating the clean coal ash content prediction value by using the clean coal ash content error prediction value to obtain a clean coal ash content prediction result.

Description

technical field [0001] The invention relates to the technical field of predicting key indicators of the coal preparation industry, in particular to a method for predicting the ash content of clean coal in a flotation process. Background technique [0002] China is a big country in coal production and consumption. With the proposal of the "dual carbon" goal, the coal industry needs to build an efficient and clean utilization system, and the transformation of coal preparation plants to digitization, automation and intelligence is inevitable. Flotation is the most widely used method for fine-grained coal separation. It mainly uses the difference of mineral surface hydrophobicity to separate fine-grained coal and gangue. It is a very complex physical and chemical process affected by multi-variable synergy. [0003] However, all the time, the coal preparation plant has been monitoring the ash content of clean coal through the fast ash experiment, and the fast ash experiment proce...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06Q10/04G06Q10/06G06Q50/02G06V10/10
CPCG06Q10/04G06Q10/06393G06Q50/02G06V10/10
Inventor 邢耀文桂夏辉王兰豪韩宇曹亦俊刘炯天
Owner CHINA UNIV OF MINING & TECH
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