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This application provides a method, storage medium, electronic device, and program product for belt conveyor state analysis, relating to the field of deep learning. The method includes: acquiring a video to be detected; processing the video to obtain a feature matrix corresponding to the video; inputting the feature matrix into a pre-trained belt conveyor state analysis model to obtain multiple channel output data of the model, wherein the multiple channel output data includes at least belt conveyor state channel data, optical flow field channel data, and instance representation channel data; and determining the state information of the belt conveyor contained in the video based on the multiple channel output data. This application overcomes the deficiency of belt conveyor segmentation and optical flow calculation being separate in traditional methods, achieving comprehensive, real-time, and accurate monitoring of the belt conveyor's operating status.