A Concentrate Grade Prediction Method in Zinc Flotation Process

Abstract

The present invention provides a zinc flotation process concentrate grade prediction method, which includes the following steps: firstly collect zinc flotation process image feature data and corresponding concentrate grade data through a flotation process image acquisition and processing system, and analyze the collected The data is preprocessed; according to the preprocessed zinc flotation image feature data and concentrate grade data, a sample space is formed, and then five independent sub-sample spaces are divided according to the concentrate grade and time differences are made respectively; KPCA is used to analyze Carry out correlation analysis on features, and extract features with high contribution rate as key foam features; train LSSVM based on key feature samples to establish the relationship between image features and concentrate grade; use improved flora algorithm to solve prediction model, and optimize penalty factor ξ of LSSVM and core width σ two parameters; this method can be directly programmed on the computer, with low cost, high precision and good timeliness, which is of great significance for guiding on-site production.

Description

technical field [0001] The invention belongs to the technical field of froth flotation, and in particular relates to a method for predicting the concentrate grade in the zinc flotation process. [0002] technical background [0003] Foam flotation is one of the most important beneficiation methods in current lead-zinc smelting. The flotation method is a method of sorting minerals by using the different physical and chemical properties of the surface of mineral particles to lead to different hydrophilicity. practical value. However, because the flotation process is long, the internal mechanism is not clear, there are many influencing factors, many variables are involved and the nonlinearity is serious, many process indicators cannot be detected online. Predicting the obtained concentrate grade and using it to complete the on-site operation is highly subjective and relies too much on experience and knowledge. It is difficult to achieve accurate and stable prediction of the con...

AI Technical Summary

Problems solved by technology

[0005] Aiming at the difficulty of on-line detection of the concentrate grade in the flotation process and the insufficiency of the prior art in zinc flotation concentrate grade prediction, the present invention utilizes various characteristics related to the zinc concentrate grade to propose a zinc flotation process concentrate Ore Grade Prediction Method

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