A molecular sieve process condition generation method and system based on a particle swarm algorithm

The invention provides a molecular sieve process condition generation method and system based on a particle swarm algorithm. The method comprises the following steps: S1, configuring a plurality of initial parameters of process conditions for synthesizing a molecular sieve and expected characterization of the molecular sieve, and configuring algorithm parameters; s2, initializing a particle swarm to generate an initial particle swarm, calculating an adaptive value of each individual in the initial particle swarm, and determining a swarm optimal value and an individual optimal value; s3, updating the speed and the position to obtain an updated particle swarm; s4, judging whether the current number of iterations reaches the maximum number of additional iterations or not; s5, calculating and updating an adaptive value of each individual in the particle swarm and selecting an optimal value; and S6, judging whether the current number of iterations reaches the maximum number of main iterations or not until the opti