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 cigarette device management system includes an information management module, and a maintenance prediction module, a device state acquisition module and a purchase statistics module which are in communication connection with it. The maintenance prediction module is built by an artificial neural network model and is configured to predict a failure interval. The device state acquisition module acquires a device operating parameter and an operating duration of the device in real time, and compares the device operating parameter with a safety parameter range. In accordance with the system, the maintenance timing of the device can be predicted, the purchase quantity of the spare part and the purchase timing of the spare part also can be predicted.
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.
Type:
Grant
Filed:
September 9, 2021
Date of Patent:
June 7, 2022
Assignee:
Zhangjiakou Cigarette Factory Co., Ltd
Inventors:
Bo Liu, Zijuan Li, Jia Sun, Hang Yin, Yang Gao, Liyuan Zhao, Wangchang Miao, Jiaojiao Chen, Zixian Feng, Zheng Zhou, Xiaohui Jia, Chao Li
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.
Type:
Application
Filed:
September 9, 2021
Publication date:
January 13, 2022
Applicant:
Zhangjiakou Cigarette Factory Co., Ltd
Inventors:
Bo LIU, Zijuan LI, Jia SUN, Hang YIN, Yang GAO, Liyuan ZHAO, Wangchang MIAO, Jiaojiao CHEN, Zixian FENG, Zheng ZHOU, Xiaohui JIA, Chao LI