The invention discloses a part relative position detection method and
system under three-axis movement and a medium, and relates to the technical field of position detection, and the method comprises the steps: carrying out the scanning of a target part, obtaining three-dimensional
point cloud data, carrying out the region segmentation recognition, carrying out the clustering analysis, obtaining a
point cloud cluster of a plurality of feature points, carrying out the global fitting, and determining a plurality of feature space coordinates; constructing a part local coordinate
system, mapping the plurality of feature space coordinates to the part local coordinate
system for position calculation, and obtaining a plurality of feature relative position relation diagrams; traversing a plurality of feature relative position relation graphs to perform deviation marking, obtaining a plurality of out-of-tolerance items, performing binding storage on the out-of-tolerance items and a target part, constructing a position detection anomaly
database, performing position deviation training, and constructing a position deviation prediction channel to perform feedback optimization on a detection path. The technical problems that in the prior art, part relative position detection precision is insufficient, and efficiency is low are solved, and the technical effect of improving part relative position detection precision and detection efficiency is achieved.