Leaching rate prediction method for wet metallurgy gold cyaniding leaching process

Abstract

The invention discloses a leaching rate real-time prediction method for a gold cyaniding leaching process on the basis of a serial mixed model, that is, a method for realizing online predication for a leaching rate. The prediction method has the following characteristics that: in the prediction method disclosed by the invention, a dynamic mechanism model for the complete gold cyaniding leaching process, that is, a gold and cyanide ion material conservation equation is established, and the mechanism model is taken as the core of the serial mixed predication model, in this way, the accuracy of a model trend can be ensured; in the prediction method disclosed by the invention, the dynamic reaction speed of the gold cyaniding leaching process is estimated on the basis of a Tikhonov regularization method, and the method is capable of effectively suppressing the influence of a measurement data noise on the estimation result. Unknown parameters in the mechanism model are estimated in a serial form by virtue of a BP neural network data model, thus improving the accuracy and popularization capacity of the model. The prediction method disclosed by the invention has the following advantages that: a serial fixed modelling method combining the mechanism model with a data model is adopted, the existing process priori knowledge is adequately utilized, the prediction accuracy and generalization capacity of the dynamic mechanism model are improved, and the prediction method has the advantages of being simple in structure, high in reliability, high in interpretability, good in popularization capacity, and the like.

Description

technical field [0001] The invention belongs to the field of hydrometallurgy, and in particular provides a method for real-time prediction of the leaching rate of gold cyanide leaching process based on a serial mixed model, that is, an online prediction method for realizing the leaching rate. Background technique [0002] Hydrometallurgy can process complex ore, low-grade ore, etc., and has less environmental pollution. Therefore, many new gold hydrometallurgical processes have emerged and been widely used. Although my country does not lag behind foreign countries in gold hydrometallurgical technology, the automatic control technology that adapts to it is far behind foreign countries. Therefore, it is difficult to achieve high-efficiency and low-consumption utilization of mineral resources through optimal control like foreign countries. Obviously, as the demand for mineral resources continues to increase, it becomes extremely difficult to improve the economic and technical i...

AI Technical Summary

Problems solved by technology

At present, most of the detection methods of leaching rate are to calculate the leaching rate by off-line assay component concentration, that is, off-line detection method. Because this method takes a long time to detect and has high cost, it usually cannot detect in real time in actual production, but can only detect a period of leaching process. time leaching rate

It is precisely because of the above reasons that major domestic gold hydrometallurgical factories have to increase the amount of leaching agent (sodium cyanide) added and prolong the leaching time to ensure that the final leaching rate of the leaching process meets the production index requirements. On the one hand, the production efficiency is greatly reduced, and on the other hand, the consumption of raw materials and energy is increased. Therefore, it is particularly important to establish an accurate real-time prediction model of the leaching rate. This model can not only predict the leaching rate online, greatly reduce the detection cost, but also provide Optimization of the cyanidation leaching process lays the foundation to reduce the total cost of production of the leaching process

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