Optimizing Software for Intelligent Operation of Refining and Chemical Plants
With the development of intelligent manufacturing industry,simulation calculation is widely used in chemical production process.This article used hybrid modeling technology to design a set of intelligent operation optimization software for refining and chemical equipment,and used deep learning algorithms and genetic algorithms to optimize the model.This software could predict product quality in real-time,optimize operating parameters,and provide data alerts.Compared to traditional mechanism modeling,it was faster and more accurate,could improve the refinement of the refinery operation process,the stability of the operation process,and the product quality of the production process.
deep learninghybrid modelingreal-time optimizationsimulation calculationoperation optimization
万方数据
维普
