Method for predicting effective heat conductivity coefficient of porous ceramic material and related device

The invention belongs to the field of porous ceramic materials, and discloses a porous ceramic material effective heat conductivity coefficient prediction method and a related device, and the method comprises the following steps: obtaining a microstructure chart of a porous ceramic material; according to the microstructure chart of the porous ceramic material, calling a pre-trained porous ceramic material effective heat conductivity coefficient prediction model to obtain an effective heat conductivity coefficient prediction value of the porous ceramic material; according to the porous ceramic material effective heat conductivity coefficient prediction model, a microstructure diagram is preprocessed through an initial convolution layer and a maximum value pooling layer, and preprocessing results are transmitted to a main channel convolution module and a short-circuit channel convolution module to extract different depth structure features of a porous ceramic material respectively; averaging and pooling the ext