The invention belongs to the field of hot-rolled
strip steel flying shear
control engineering, and relates to a hot-rolled
strip steel optimized shearing method based on
machine vision. The method is mainly combined with a
machine vision principle, non-contact measurement is performed on a
strip steel end deformation part caused by rough rolling on a hot rolling
production line, optimization control is performed on a flying shear
system through a fuzzy self-tuning
PID controller, and the method comprises the following operation steps: 1) collecting a strip steel end image; 2)
processing image information; 3) obtaining a three-dimensional contour; 4) performing three-dimensional convex
hull operation; 5) making a fuzzy self-tuning
PID controller decision; 6) transmitting a shearing
signal by the controller; and (7) shearing by an executing mechanism. Based on a
machine vision detection
system, the three-dimensional profile of the end of strip steel is obtained in combination with an
image processing unit, a flying shear mechanism is controlled through the fuzzy self-tuning
PID controller, and a shearing mechanism carries out accurate shearing after receiving a
signal sent by the controller. By means of a closed-
loop control structure,
online optimization of a hot-rolled strip steel flying shear
system is achieved.