The application discloses a menthylamide cooling agent reaction condition
prediction system and method, aiming to optimize
reaction conditions through intelligent methods, improve experimental efficiency, reduce production cost, and ensure stable product quality. The
system combines design of experiment (DoE) and response surface method (RSM) technology, analyzes the relationship between
reaction conditions and products through
system analysis, uses multi-scale modeling, combines molecular
reaction mechanism and macroscopic reactor model, realizes seamless connection from laboratory to
industrial scale, and solves the challenges in the amplification process. Through real-
time data monitoring and feedback adjustment, the
system can dynamically optimize the reaction process, improve the
controllability and stability of the production process, and the application not only improves the scientificity and intelligent level of reaction optimization, but also provides an efficient, controllable and environmentally-friendly solution for large-scale production of menthylamide cooling agents.