A mixed modeling method for zinc oxide volatilization kiln based on mechanism and support vector machine

Abstract

Aiming at the problem that the zinc reduction and physical-chemical reaction process of the volatilization kiln cannot be accurately represented due to the characteristics of multi-variable, large time delay and nonlinearity in the production process of the zinc oxide volatilization kiln, the present invention proposes a combination of mechanism modeling and key parameter fitting modeling method. The hybrid modeling proposed by the present invention is based on the research on the volatilization kiln structure, production process, internal physical and chemical reaction process and heat and mass transfer mechanism, and the partial differential equations of mass conservation and energy conservation of the zinc oxide volatilization kiln established and based on The support vector machine regression algorithm is used to fit the mixed model of key parameters, which are obtained from the kiln equipment parameters and production experiment data of a smelting enterprise. The hybrid modeling method of the present invention not only makes up for the deficiency that the simple mechanism modeling is difficult to accurately characterize the model, but also overcomes the shortcomings that the simple data-driven modeling is difficult to characterize the operation mechanism and reaction process in the kiln, and can more accurately reflect the volatilization The stable characteristics of the kiln and the dynamic characteristics of the production process.

Description

technical field [0001] The invention relates to a modeling method of a zinc oxide volatilization kiln, in particular to a mixed modeling method of a zinc oxide volatilization kiln based on a mechanism and a support vector machine. Background technique [0002] The kiln body of the zinc oxide volatilization kiln is divided into four zones: drying zone, preheating zone, firing zone and cooling zone. Almost all reactions and production processes in the kiln are completed in the firing zone, and the temperature of the firing zone is determined by the The production efficiency, quality, cost and continuity of the production process of the company's products, the actual production experience determines that the zinc ore reduction volatilization firing zone temperature is 1100-1300 ℃, and the temperature is too low or too high is not conducive to the production of the product. The main problem brought about by the low temperature is that the reduction process of zinc is a strong en...

AI Technical Summary

Problems solved by technology

Although the least squares support vector machine fitting method has higher accuracy and faster training than the neural network, the model established simply by data fitting involves fewer variables and production factors and cannot reflect the chemical reaction process and process of the materials in the volatilization kiln. Production mechanism

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