The invention relates to the technical field of self-
adaptive control laser cutting, in particular to a self-adaptive
laser cutting method and
system based on characteristic parameters of sheet
metal parts. Firstly, by establishing a space coordinate
system and obtaining a top view image of a
cutting platform, contour deviation is calculated, a correction initial position is generated, and then a cutting path is optimized. And the
laser cutting head moves to the corrected initial position according to the path and performs a cutting task. In addition, the method further comprises the steps that the to-be-processed sheet
metal part image is segmented into a plurality of sub-images, and a sub-image cross
list is established to describe the connection relation of the sub-images. And extracting a subimage
feature vector through a
feature learning model, and adjusting a control parameter by using cutting
simulation information to compensate an error. And for each sub-image, based on the cutting result and the connection relationship, adaptive adjustment of
control parameters is carried out, and the precision of the subsequent cutting step is ensured. And finally, a complete cutting task is realized by updating the cutting mark and merging the sub-images.