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

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 hy