Abstract: Disclosed in the present invention is a control method for water supply during loosening and conditioning based on a neural network model and a dual parameter correction. The method comprises: establishing a neural network-based model for predicting the amount of water supplied during loosening and conditioning; predicting and distributing the total water supplied; and correcting the model based on material balance calculation and deviation. In the present application, when there is a large deviation in outlet moisture, the dual correction control system combining the material balance calculation and the moisture deviation is used for correction to improve the stability and precise control of the outlet moisture during the loosening and conditioning process.

Abstract: Disclosed in the present disclosure is an intelligent cut tobacco drying control system and method based on volatile moisture content, wherein the system comprises a heat and mass transfer process analysis module, a material and energy accounting module, a prediction model module, a model control module and an abnormality early warning module. The present disclosure analyzes a drying process of the thin sheet shredded tobacco leaf drying machine, can provide theoretical support for building the intelligent control system under changeable conditions and realize intelligent production of drying shredded tobacco leaves. The present disclosure aims to transform the existing control mode and accurately predict the drainage opening by using a fitting model between the volatile moisture content and the drainage opening, so as to realize transformation from artificial control to intelligent control.

Abstract: Disclosed in the present invention is a control method for water supply during loosening and conditioning based on a neural network model and a dual parameter correction. The method comprises: establishing a neural network-based model for predicting the amount of water supplied during loosening and conditioning; predicting and distributing the total water supplied; and correcting the model based on material balance calculation and deviation. In the present application, when there is a large deviation in outlet moisture, the dual correction control system combining the material balance calculation and the moisture deviation is used for correction to improve the stability and precise control of the outlet moisture during the loosening and conditioning process.