The invention discloses a blast furnace tapping end point online intelligent identification method and system, and the method comprises the steps: collecting a molten iron flow image, extracting molten iron flow image features, collecting molten iron flow data, extracting molten iron flow short time sequence features, fusing the molten iron flow image features and the molten iron flow short time sequence features, and building a tapping process classification prediction model; the blast furnace tapping end point is identified according to the tapping stage of the current moment, the technical problem that the current tapping end point cannot be accurately identified in the prior art is solved, the image, the flow velocity, the slag-iron ratio and other data of the high-temperature molten iron flow are obtained through a non-intrusive device, and the identification accuracy of the blast furnace tapping end point is improved. The features of the multi-source data of the molten iron flow are extracted through the deep neural network for fusion, so that the blast furnace tapping end point at the current moment is recognized, the confidence coefficient of the current recognition result is provided, and the method has the advantages of being high in accuracy, stability and adaptability, suitable for blast furnaces of different scales, low in investment cost and the like.