Intelligent gas detection method based on double-branch inference mechanism

The invention relates to intelligent detection in the field of intelligent mining, and particularly discloses an intelligent gas detection method based on a double-branch inference mechanism. A computer vision technology based on deep learning is adopted to perform feature extraction and classification on images of gas in a conveying process; and whether the water vapor content in the current gas is suitable for being directly conveyed to a recycling device for recycling or not is determined. Particularly, in the detection process, a first branch used for deducing the water drop content and a second branch used for deducing the water vapor content are adopted, in the second branch used for deducing the water vapor content, a gas image without water vapor is adopted as a reference image, and a foreground mask is extracted from a detection image as the characteristic basis for deducing the water vapor content; therefore, the influence of water vapor and water drops in the gas is comprehensively considered in th