A Predictive Control Method for Zinc Flotation Dosing Quantity Based on Texture Optimization

Abstract

The invention discloses a method for predicting and controlling zinc flotation dosing amount based on texture degree optimization, which comprises the following steps: first extracting foam image features, including entropy value, energy, reverse moment, foam size and foam image The color feature and the texture feature of the selected foam image define the texture complexity according to the texture parameters of the selected foam image and the relationship between the concentrate grade; secondly, using the extracted feature parameters, a neural network is used to construct a prediction model of the selected foam texture complexity , and finally, according to the difference square of the difference between the predicted value of the selected foam texture complexity and the expected optimal value as the objective function, the adjustment value of the drug dosage is calculated by the optimization method, and the drug addition control is completed. The invention combines the foam state characteristics of beneficiation and roughing, so that the control result is more excellent, the recovery efficiency of minerals is improved, and the consumption of chemicals is reduced.

Description

technical field [0001] The invention belongs to the technical field of froth flotation, and in particular relates to a method for predicting and controlling the dosing amount in the zinc flotation process. Background technique [0002] Froth flotation is a process of separating minerals from useless gangue by utilizing the difference in hydrophilicity and hydrophobicity of minerals. The dosage of zinc flotation is mainly observed by experienced operators with naked eyes to observe the color, size, and The state of texture and so on judges the production state and adjusts it. However, manual observation has strong subjectivity and randomness of operation, which leads to large errors and low efficiency in the dosing operation during the flotation process, which may lead to serious waste of chemicals and mineral resources due to inaccurate judgment, and the foam in the selection tank Texture features are closely related to the concentrate grade of foam, so by controlling the t...

AI Technical Summary

Problems solved by technology

However, the flotation process is a complex multi-process process, which is completed through roughing, beneficiation and sweeping. This method only analyzes and judges the foam state in the roughing cell, and does not combine the foam state of multiple flotation cells. , in actual industrial applications, there are problems that the production status cannot be fully monitored and the adjustment is not timely

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