Abstract: A split-type microporous direct-injection aromatherapy machine comprises a base, a shell and an atomizing module arranged between the base and the shell, wherein a connecting mechanism is arranged on the base, and the shell and the base are connected with each other through the connecting mechanism; a slot is arranged on the base, and the atomizing module is detachably inserted into the slot; the atomizing module is electrically connected with the base, and the shell can cover the lower part of the atomizing module. The atomizing module comprises a liquid storage bottle and a liquid guide tube, wherein the liquid guide tube can be inserted into the slot, and the liquid guide tube comprises a connecting part and a liquid guide part; the liquid storage bottle is screwed into the connecting part; the slot comprises a central limit part and a lateral limit part.

Abstract: A method for automatically identifying emission sources in a source apportionment process of pollutants is provided, which relates to the field of air pollution prevention and control. The method includes: integrating measured source spectrum data and factor spectrum data to generate a labeled data set and an unlabeled data set, respectively; preprocessing the labeled data set to generate a continuous labeled data set; constructing a tree classification model based on the continuous labeled data set; optimizing the tree classification model to determine the optimized tree classification model; coupling the optimized tree classification model and a pseudo-labeling algorithm to generate an integrated model based on the unlabeled data set to automatically identify factor profiles in the unlabeled data set; and determining types of the emission sources based on the factor profiles. The factor profiles can be automatically identified, so that types of emission sources can be quickly determined.

Abstract: A method and an equipment for comprehensive utilization of niobite is disclosed. The method includes the following steps: S1. adding and uniformly mixing a coal-based reducing agent to the niobite, and subsequently reducing the mixture in a reduction furnace to obtain the selective reduction product; S2. adding the selective reduction product to a super-gravity reactor where the ambient temperature is controlled to be lower than the temperature at which the niobium oxide is reduced; driven by super-gravity, reverse migrating and collecting the metal iron and the niobium-rich slag at different locations in the reactor; discharging the metallic iron tightly attached to the wall of the reactor through an iron discharging port, and discharging the niobium-rich slag enriched to the inner layer of the reactor through a slag discharging port, so that the separation of the metallic iron and the niobium-rich slag is realized in the super-gravity field.

Abstract: Disclosed is an infrared thermal image classification and hot spot positioning method of a photovoltaic panel, comprising following steps: constructing a photovoltaic panel infrared thermal image data set, preprocessing the image data set, and dividing into a training set and a testing set according to a preset proportion; training an auxiliary generating countermeasure network based on the training set to obtain a trained generator and a trained discriminator, training an encoder by combining the image data in the training set with the generator, and fixing the parameters of a trained encoder; inputting the image data in the test set into a trained discriminator to obtain a photovoltaic image classification result; inputting images in the test set into the trained encoder, and then inputting the images into the generator for a reconstruction; comparing pixels of the input images with the reconstructed infrared thermal images, and positioning hot spots.