A Prediction Method of Trace Metal Ion Concentration in Zinc Liquid Based on Zoning Modeling

Abstract

The invention discloses a method for predicting the concentration of trace metal ions in zinc liquid based on partition modeling, which includes: obtaining the spectral signal diagram of the mixed solution sample, and then calculating the correlation coefficient of each wavelength variable based on the spectral signal of the mixed solution sample. Stability value; obtain the optimal wavelength variable based on the correlation coefficient-stability value of the wavelength variable; conduct model training to obtain the concentration interval classification model of the mixed solution; perform model training respectively to obtain the concentration prediction model in the high concentration interval and the concentration in the low concentration interval Prediction model: Obtain the concentration interval of the mixed solution to be tested based on the concentration interval classification model, and then obtain the predicted concentration of the trace metal ion to be measured based on the concentration prediction model corresponding to the high concentration interval or the concentration prediction model of the low concentration interval. The method can improve the accuracy of the prediction model and obtain more reliable prediction results.

Description

technical field [0001] The invention belongs to the field of nonlinear quantitative analysis of absorption spectrum, in particular to a method for predicting the concentration of zinc liquid trace metal ions based on partition modeling. Background technique [0002] The concentration of trace metal ions in the zinc liquid is an important process parameter index of the hydrometallurgy zinc purification process. An appropriate amount of impurity ions can be used as an activator for the reaction. If the concentration is too high, the electrolytic efficiency will be reduced. Therefore, the accurate detection of the concentration of trace metal ions It is the premise and foundation for the stability of the follow-up process. The concentration of matrix ions in the zinc solution is high, and its ratio to the concentration of trace metal ions to be measured is as high as 170,000 to 200,000 times. The signals of trace metal ions are overlapped and masked seriously by high-concentrat...

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Problems solved by technology

However, the present invention finds through experimental research that when the concentration of trace metal ions is different, its spectral signal is affected by zinc ions and other ions in different degrees, for example, the mixed solution is zinc Zn(II), copper Cu(II), cobalt Co( II) When mixing, zinc Zn(II) is a high-concentration matrix ion, cobalt Co(II) is other interference ions, and copper Cu(II) is a trace amount of ion to be measured, such as Figure 8 As shown, when the concentration of Cu(II) is low, the spectral signal of Cu(II) is weak and is largely masked by Zn(II) and Co(II), and the ions interact with each other and interfere seriously. The nonlinearity between the signals is strong; when the concentration of Cu(II) is high, the concentration ratio of Zn(II) to Cu(II) decreases, the interference and masking effect of Zn(II) on Cu(II) signal decrease, and the Cu(II) II) The correlation between the concentration and the spectral signal is strong, and the linearity is enhanced. Therefore, when the concentration of the trace metal ion to be measured is different, its influence on the spectral signal is different. From this we can see that in the prior art, for different concentrations of The accuracy of the model obtained by uniform processing of mixed solutions is not high, and the reliability of the prediction results obtained is not high

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