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A method and system for controlling moisture content at the inlet of dried silk

A technology of moisture content and entrance, applied in the direction of tobacco preparation, application, tobacco, etc., can solve the problems of unstable tobacco quality and different setting values, and achieve the effects of improving efficiency, reducing memory space, and improving training efficiency

Active Publication Date: 2021-05-28
XIAMEN ETOM SOFTWARE TECH CO LTD
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0003] At present, the work orders before the production of tobacco shreds often only issue a water addition ratio, and the water addition ratio is often set by experienced employees. Different employees may set different values. At the same time, due to many factors affecting the moisture content , resulting in unstable tobacco quality

Method used

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  • A method and system for controlling moisture content at the inlet of dried silk
  • A method and system for controlling moisture content at the inlet of dried silk
  • A method and system for controlling moisture content at the inlet of dried silk

Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0045] Embodiment 1: A method of controlling the moisture content at the entrance of dried silk, please refer to figure 1 , to collect basic working condition information of historical operations, and to establish different working models for different basic working conditions;

[0046] Establishing a machine learning model, the machine learning model including a coding unit, an optimization target and a variable coding; controlling the moisture content at the entrance of the dried shredded silk to the optimization target, and the working model is in one-to-one correspondence with the coding unit through the variable coding;

[0047] Provide the basic working condition information of the current processing stage obtained by each measuring point on the production line when the order is placed, the zero point value of the loose outlet moisture meter, the zero point value of the feeding inlet moisture meter, the zero point value of the feeding outlet moisture meter, and the zero p...

Embodiment 2

[0064] Example 2, in the actual production of silk production, the initial stage is often a gradual process, which is the dynamic data of inverted "U", which cannot stably reflect the relationship between actual variables and related factors. In order to further improve the reliability of the optimization scheme, the preceding N Minute data is coded as variables without processing, that is, during the learning process of the machine learning model, the unsteady data in the production line is eliminated, and they are coded as variables without processing. The unstable data includes data at the initial stage of production line work , data during the time period of production interruption, and abnormal data far beyond the set normal range, the screening of data greatly improves the accuracy of the final optimization plan.

Embodiment 3

[0065] Embodiment three, the machine learning model establishes different models according to different processing stages to form a multi-stage series model, and conducts Pearson correlation analysis for each processing stage, and screens out variables with strong correlations, and then analyzes all The filtered variables are variable coded. That is, in each processing stage, variables with less correlation are not considered in the model, and the model only considers how to optimize the variables with greater correlation to control the moisture content at the inlet of dried silk, which greatly improves the prediction efficiency and accuracy.

[0066] When obtaining the optimization plan, the variables that can be obtained before the production line work are used to predict the amount of moisture change in each processing stage, and then through the amount of moisture change in each stage, the moisture content of the drying silk inlet is reversed from the set value of the moist...

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Abstract

The invention discloses a method and system for controlling the moisture content at the entrance of drying silk. Under the premise of not changing any structure and principle of the silk production line, adding additional measuring points, and not affecting normal production, the basic working conditions of historical operations can be collected. Information and machine learning methods provide safe, convenient and reasonable water addition ratio suggestions, and predict the changes in water content at each stage, as well as the four positions of the middle loose outlet, leaf moistening entrance, moistening leaf exit, and shredded shredded entrance. Moisture content prediction, so as to achieve the control of moisture content at the entrance of drying silk.

Description

technical field [0001] The invention relates to the technical field of silk drying, in particular to a method and a system for controlling the moisture content at the entrance of drying silk. Background technique [0002] Tobacco moisture content control is an important topic concerned by the tobacco industry. The main difficulty lies in the difficulty of controlling the moisture content of each process section before drying the shreds. The main reason is that there are many factors that affect the moisture content of tobacco, such as ambient temperature and humidity, length of time in the cabinet, adding water Ratio, steam ratio, etc. [0003] At present, the work orders before the production of tobacco shreds often only issue a water addition ratio, and the water addition ratio is often set by experienced employees. Different employees may set different values. At the same time, due to many factors affecting the moisture content , resulting in unstable tobacco quality. T...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): A24B3/04
CPCA24B3/04
Inventor 刘煜孙再连施翔飞
Owner XIAMEN ETOM SOFTWARE TECH CO LTD