Pellet production condition detection method, device, equipment and medium

The invention relates to the technical field of mineral industry detection, and provides a pellet production working condition detection method, device and equipment and a medium. The method comprises the following steps: performing text labeling to obtain a label of a production condition image; performing feature extraction by using the image feature extraction model to obtain image features; encoding the label by using a text encoder to obtain a text feature; optimizing the image feature extraction model and the text encoder; the optimized text encoder obtains final text features; the optimized image feature extraction model obtains final image features of the production sample image; the multi-task classification model obtains the marginal probability between the production sample image and the final text feature; the multi-task classification model is optimized, and the final marginal probability between the production image needing working condition detection and each final text feature is obtained; and