This invention relates to the field of computer-aided
process design technology, specifically to an intelligent optimization design method and
system for
greenhouse film formulations. The method includes the following steps: collecting signals of
crystallinity, amorphous ratio, and crystalline inter-region spacing through film-making experiments and constructing a structure vector; completing
crystallization discrimination based on
transmittance targets and spacing thresholds; forming a formulation
state sequence by combining
raw material mass fractions and additive ratios; analyzing the
crystallization evolution direction under multiple cooling and traction rate conditions; imposing constraints on parameter value ranges; and outputting the optimized
greenhouse film formulation results. In this invention, through the joint characterization and discrimination of multi-dimensional signals of the
crystal structure, formulation decisions rely on the microstructural state, combining the
crystallization evolution direction and state transition relationship to form dynamic constraints on the
raw material mass fraction and additive ratio, ensuring that the optimization results conform to
processing conditions, reducing static parameter deviations, maintaining controllable performance and predictable trends under multiple operating conditions, and improving
formulation stability and continuous adaptability.