Zinc oxide volatilization kiln hybrid modeling method based on mechanism and support vector machine

Abstract

Based on the problem that the zinc reduction physicochemical reaction process of a zinc oxide volatilization kiln cannot be accurately characterized due to the characteristics of multiple variables, large time delay, nonlinearity and the like in the production process of the zinc oxide volatilization kiln, the invention provides a hybrid modeling method of mechanism modeling and key parameter fitting. According to the invention, based on research on a volatilization kiln structure, a production process, an internal physical and chemical reaction process and a heat and mass transfer mechanism,the hybrid modeling is that a partial differential equation set of mass conservation and energy conservation of the zinc oxide volatilization kiln and a hybrid model for fitting key parameters based on a support vector machine regression algorithm are established, wherein the key parameters are obtained by collecting kiln equipment parameters and production experiment data of a certain smelting enterprise; and with the hybrid modeling method, the defect that the model is difficult to accurately characterize by pure mechanism modeling is overcome, the defect that the operation mechanism and thereaction process in the kiln are difficult to characterize by pure data-driven modeling is also overcome, and the stability characteristic of the volatilization kiln and the dynamic characteristic ofthe production process can be accurately reflected.

Description

technical field [0001] The invention relates to a modeling method of a zinc oxide volatilization kiln, specifically a hybrid 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. All reactions and production processes in the kiln are almost completed in the firing zone, and the temperature of the firing zone is the decisive factor. The production efficiency, quality, cost and continuity of the production process of the enterprise. The actual production experience determines that the temperature of the reduction and volatilization firing zone of zinc ore is 1100-1300 ℃. Too low or too high temperature is not conducive to the production of products. The main problem caused by too low temperature is that the reduction process of zinc is a strong endothermic proce...

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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