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Intelligent control system and method for cigarette silk making process

A control system and tobacco manufacturing technology, applied in the tobacco industry, can solve the problems of inability to realize process parameter prediction, early warning, recommendation and learning, inability to realize precise control of moisture in the entrance of dried shredded silk, and poor interaction of process parameters, etc., to achieve optimal intelligence Control method and ability, prevent tobacco moisture instability, increase the effect of accuracy

Active Publication Date: 2021-08-17
ZHANGJIAKOU CIGARETTE FACTORY
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

However, its intelligent control is still at a relatively early stage, and it is impossible to realize the prediction, early warning, recommendation and learning of process parameters, and the interaction between process parameters is poor, and it is impossible to achieve precise control of the moisture in the drying silk inlet, thereby improving the product from the source. Homogenization level

Method used

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  • Intelligent control system and method for cigarette silk making process
  • Intelligent control system and method for cigarette silk making process
  • Intelligent control system and method for cigarette silk making process

Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0063] refer to figure 1 , the present embodiment is an intelligent control system for cigarette shreds, including an information platform, which stores historical production data: historical production data includes historical batch parameters, parameter relationships, key parameters (production key indicators, such as Moisture at the outlet of feeding and regaining moisture, moisture at the outlet of hot air moistening leaves, moisture at the inlet of dried silk, etc.) and historical forecast data, actual parameter data (measured data obtained through monitoring sensors, such as moisture meters, flow meters, electronic scales, etc.), time of day, season Influencing factors such as changing ambient temperature and humidity and other relevant historical production data that can be used in the intelligent control system.

[0064] The system also includes a trend monitoring module, a key parameter prediction module and a historical data query module connected to the information ...

Embodiment 2

[0125] An intelligent control method for tobacco shredded process. This method is applied to the intelligent control system for tobacco shredded process described in Example 1, which includes the following steps:

[0126] Step 1, data collection

[0127] Data source: corresponding historical production data in the silk production line information management system;

[0128] Step 2: Predictive Model Establishment

[0129] Combining multiple regression analysis algorithms and neural network algorithms, a nested production parameter prediction model is established in stages according to the process sections to predict the production parameters of each section;

[0130] Step 3, control model establishment

[0131] Based on the predicted value of step 2, through the neural network algorithm, the intelligent control model is established in stages according to the process section, and the control parameters of each section are predicted, and the equipment in each process section is...

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Abstract

The invention discloses an intelligent control system and method for tobacco shredded links. The system includes an information platform, a trend monitoring module connected to the information platform, a key parameter mutual push module and a historical data query module, wherein the trend monitoring module includes Real-time prediction unit, intelligent control unit, over-standard warning unit, intelligent recommendation unit and self-learning unit. In the present invention, through the mining and analysis of historical production data, multiple regression analysis methods, neural network algorithms and other computing methods are combined to establish a prediction model in stages, and then solve the model to obtain the forward and reverse directions of key parameters under the influence of different factors Prediction, so as to realize the precise control of the moisture at the entrance of drying silk, through the process of modeling-verification-application-optimization, realize online quality early warning, correlation comparison, real-time prediction, trend prediction, error prevention, upstream prediction downstream, downstream feedback upstream, Intelligent recommendation and other functions.

Description

technical field [0001] The invention relates to the tobacco industry, in particular to the field of intelligent control of silk-making assembly lines, and in particular to an intelligent control system and method for tobacco-use silk-making links. Background technique [0002] In the tobacco production process, the silk production process is a very important link. It is a process in which tobacco leaves are made into qualified shredded tobacco through various processing procedures step by step according to certain procedures according to the physical and chemical properties of tobacco leaf raw materials. In the cigarette production process, the silk-making process is the longest, with the most complicated procedures and the most types of equipment. The existing silk workshop is an assembly-line production operation, which includes key equipment such as vacuum moisture conditioning machine, loose moisture conditioning machine, temporary storage cabinet, feeding moisture condi...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): A24B3/04A24B3/10A24B3/06A24B9/00G06N3/04
CPCA24B3/04A24B3/06A24B3/10A24B9/00G06N3/04
Inventor 李自娟刘博张爱华方汀高杨孙嘉苗旺昌郑海军姚卫东孙一鹤贾晓慧李光常文慧赵力源马燕淑
Owner ZHANGJIAKOU CIGARETTE FACTORY
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