Detection method of key variables in hydrometallurgical dense washing process

Abstract

The invention provides a method for real-time prediction of key variables in the hydrometallurgical dense washing process, which includes process data collection, auxiliary variable selection, standardization processing, establishment of a hybrid model and other steps. It is characterized by: establishing a mechanism-based model and a data-driven model. The parallel structure hybrid model is used; the data-driven model is used as the error compensation model of the mechanism model. The invention also provides a software system for predicting key variables in the dense washing process, which includes a main program, a database and a human-computer interaction interface. The system software uses the model computer of the hydrometallurgical process control system as the hardware platform. The present invention is applied to the dense washing process of a hydrometallurgical plant, and is used to predict the overflow concentration and underflow concentration. The prediction results are all within a predetermined error range. The advantages of this invention are: simple model, strong interpretability, good extrapolation, and high prediction accuracy.

Description

technical field [0001] The invention belongs to the technical field of hydrometallurgy. In particular, it provides a method for detecting the underflow concentration in the dense washing process of hydrometallurgy, that is, it provides a method for predicting the underflow concentration in real time. Background technique [0002] Hydrometallurgy technology is an ancient modern science and technology with great development prospects. Compared with traditional pyrometallurgy, hydrometallurgy technology is convenient for the separation and recovery of polymetallic resources, does not produce flue gas pollution, and is environmentally friendly. The advantages of environmental friendliness. Especially in view of the complex, difficult-to-select and low-grade mineral resources in my country, hydrometallurgy technology is more superior. It should be said that hydrometallurgy can better meet the requirements of sustainable development of mineral resources today. [0003] In recent...

AI Technical Summary

Problems solved by technology

[0008] (2) In the coagulation and sedimentation zone, the solid particles in the suspension have formed tighter flocs, and the flocs continue to settle, but at a slower speed;

[0009] (3) In the interference settlement area, some particles settle due to their own weight, and some particles are hindered by dense particles, making it difficult to continue to settle;

Modeling research on dense washing process is still in the exploratory stage

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