Abstract: A method for establishing a defect detection model and an electronic apparatus are provided. A first classification model is established based on a training sample set including a plurality of training samples. The training samples are respectively input to the first classification model to obtain a classification result of each training sample. A plurality of outlier samples that are classified incorrectly are obtained from the training samples based on the classification result. A part of outlier samples that are classified incorrectly is deleted from the training samples, and the remaining training samples are used as an optimal sample set. A second classification model is established based on the optimal sample set so as to perform a defect detection through the second classification model.

Abstract: The present invention relates to an equipment for enabling and accelerating uniform reaction between a to-be-reacted substance contained in a porous substrate and a reactant, and the equipment comprises: a machine body having a draining bottom plate on which the porous substrate can be placed; and a coating head which is provided above the machine body, can be moved horizontally along the porous substrate while maintaining a predetermined height, and has one or more slits, wherein each slit has an injection opening at one end and a liquid output opening at the other end.