Volatilization kiln temperature field prediction method based on thermodynamic mechanism and infrared image data fusion

The invention relates to the technical field of volatilization kiln temperature field prediction, and particularly discloses a volatilization kiln temperature field prediction method based on thermodynamic mechanism and infrared image data fusion, which comprises the following steps: S1, establishing a thermodynamic model according to the heat transfer and chemical reaction process of a volatilization kiln, and obtaining a predicted temperature according to the thermodynamic model; s2, acquiring an infrared image of a kiln head area of the volatilization kiln, processing the infrared image and extracting an actual solid material temperature; s3, constructing a parameter optimization model through an error between the predicted temperature obtained by minimizing the thermodynamic model and the actual temperature of the solid material; s4, determining a model parameter value needing to be optimized, and obtaining a parameter optimization result; and S5, substituting the parameter optimization ...