Abstract: A method for dust identification includes following steps: collecting multi-source data related to dust; preprocessing the multi-source data to obtain processed data; constructing a training set for a dust identification model using the processed data; constructing the dust identification model, where the dust identification model includes a backbone network, an output network, and a fusion network; training the dust identification model based on the training set to obtain a final model; and identifying dust based on the final model. The dust identification method significantly improves a speed and accuracy of dust identification, and also partially improves continuity of the dust identification.