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.

Abstract: An intelligent control system and method of thin plate dryer for cut tobacco are provided. The system includes a factor searching and screening unit, a control unit, an early warning unit. The control unit adopts a dual-model control method and establishes a process parameter control model and an energy balance model, the control unit calculates the moisture discharge opening value in real time according to the dual-model; the early warning unit is configured to connected with the control unit, and send out an alarm information based on early warning signal. The present disclosure is designed to transform the traditional control into intelligent precision control, improve product quality, reduce product differences between batches and build an intelligent early warning function.

Abstract: A system and a method for on-line analysis of a structure of dried shredded tobacco are provided. The system includes a shredded tobacco structure on-line analysis module, a shredded tobacco filling capacity prediction model module, and an early-warning module. The shredded tobacco structure on-line analysis module includes a sample extraction unit, a sample analysis unit and a shredded tobacco filling capacity data acquisition unit. The shredded tobacco filling capacity prediction model module includes a model parameter screening unit and a model construction unit. An early-warning threshold is provided in the early-warning module, and when a deviation of a predicted shredded tobacco filling capacity from a standard value exceeds the early-warning threshold, an alarm is given. The new system is an intelligent system with functions of shredded tobacco structure analysis, shredded tobacco filling capacity prediction, and abnormality early-warning determination and analysis.

Abstract: An intelligent control system and method of thin plate dryer for cut tobacco are provided. The system includes a factor searching and screening unit, a control unit, an early warning unit. The control unit adopts a dual-model control method and establishes a process parameter control model and an energy balance model, the control unit calculates the moisture discharge opening value in real time according to the dual-model; the early warning unit is configured to connected with the control unit, and send out an alarm information based on early warning signal. The present disclosure is designed to transform the traditional control into intelligent precision control, improve product quality, reduce product differences between batches and build an intelligent early warning function.

Abstract: A system and a method for on-line analysis of a structure of dried shredded tobacco are provided. The system includes a shredded tobacco structure on-line analysis module, a shredded tobacco filling capacity prediction model module, and an early-warning module. The shredded tobacco structure on-line analysis module includes a sample extraction unit, a sample analysis unit and a shredded tobacco filling capacity data acquisition unit. The shredded tobacco filling capacity prediction model module includes a model parameter screening unit and a model construction unit. An early-warning threshold is provided in the early-warning module, and when a deviation of a predicted shredded tobacco filling capacity from a standard value exceeds the early-warning threshold, an alarm is given. The new system is an intelligent system with functions of shredded tobacco structure analysis, shredded tobacco filling capacity prediction, and abnormality early-warning determination and analysis.