Shield muck flow plasticity automatic evaluation method based on sample slump body section form

The invention discloses a slump image segmentation and feature extraction-based shield muck plastic flow property automatic evaluation method, which comprises the following steps: S1, carrying out a series of muck improvement and slump tests indoors, and judging the improvement state according to a suggested reasonable slump value range and whether water and foam are separated from the surface of a sample; s2, a laser scanner is adopted to obtain a sample section contour line at the center position of the muck slump body in each improved state, and related parameters of the section contour line at the center position of the slump body, such as the height H of the slump body, the diameter d of a top platform and the extension D, are calculated by obtaining point cloud data of the section contour line at the center position of the slump body; s3, determining the value ranges of parameters d, D and H of the section contour line of the center position of the muck slump body in various improvement states; and S4,