The invention discloses an intelligent control method and system for a hollow blow molding machine, relating to the field of hollow blow molding machines. The method comprises: acquiring thickness uniformity data of blow-molded products corresponding to different process parameters of the hollow blow molding machine; preprocessing the process parameters to obtain standardized process sequences, combining with corresponding thickness uniformity data to obtain sample data, and further constructing a sample data set; constructing a recurrent neural network and training it with the sample data set to obtain a thickness uniformity prediction model; taking the thickness uniformity prediction model as a fitness function, using a particle swarm optimization algorithm to determine optimal process parameters for thickness uniformity, and controlling the hollow blow molding machine to perform blow molding according to the optimal process parameters. The invention uses a neural network model and an optimization algorithm to select blow molding process parameters with better thickness uniformity to control the blow molding machine, thereby improving the thickness uniformity of blow-molded products, meeting structural strength design requirements, reducing raw material consumption and lowering costs.
Country Code: CN
Application Number: CN202411148525.X
