In order to reduce the intelligent loading bias of the train,the material particle size in the loading process is detected and analysed.By installing industrial cameras and fill-in lamps,images of the upper surface of the train compartment are collected,and the collected pictures are uniformly pre-processed,and the threshold segmentation is performed for the particleised images,the number of coal lumps in the compartments with particle sizes larger than 50 mm is detected,and the manual calibration and image data are analysed to derive the relevant analysis data,then derive the relevant analysis dat.Finally,the actual implementation effect is analysed through the detection of material particle size on site to provide theoretical and practical research for the study of material particle size in train loading.
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