This invention discloses a
machining center control method and
system based on
artificial intelligence, belonging to the field of
intelligent control technology. The method includes: creating a
simulation model to generate a first trajectory of the milling head; optimizing the
machining sequence and corresponding switching trajectory based on the path location and
shortest distance principle of the milling head switching between different
machining positions; real-time acquisition of sensing information, wear information, workpiece material, and
cutting speed of the milling head, inputting
cutting parameters into the
cutting model, and generating a predicted cutting trajectory based on the
simulation model; selecting a representative position in the predicted cutting trajectory and determining whether correction is needed; if correction is needed, calculating the correction position based on the principle of maximizing the
projected area, and generating a second trajectory based on the correction position, the predicted cutting trajectory, and the optimized switching trajectory; and driving machining based on the
control parameters of the second trajectory. This
system effectively improves machining accuracy and efficiency through
dynamic prediction and local trajectory correction.