The intelligent
cutting method comprises the steps that the
temperature gradient change rate is analyzed according to temperature distribution data, a key area where an oxidation reaction is likely to happen is determined in combination with geometrical characteristics, and target monitoring area data are obtained; obtaining
reflection spectrum information of the
cutting area and comparison spectrum information of the adjacent non-
cutting area according to the target monitoring area data, and obtaining spectrum characteristic data; performing space-time collaborative analysis on the spectral
feature data, extracting a spectral feature change value, and combining the spectral feature change value with the
diffusion rate of the oxidation reaction to obtain
oxidation state prediction data; and according to the
oxidation state prediction data, the cutting power is adjusted in different regions, the flow field parameters of the protective gas are dynamically compensated, and cutting of the
titanium alloy structural part is executed. According to the technical scheme, through spectrum monitoring and space-time collaborative analysis,
dynamic prediction and accurate regulation and control of the oxidation reaction are achieved, the problem that
laser energy coupling is not stable due to the
surface oxidation reaction is solved, and the cutting quality is guaranteed.