Method using processing parameter to predict control indexes during tobacco processing procedures

A technology of processing parameters and processing procedures, which is applied in the field of processing parameter prediction and control indicators, can solve problems such as insufficient data application, and achieve the effect of thorough understanding and mastery, and timely warning

Active Publication Date: 2012-07-11
HONGYUN HONGHE TOBACCO (GRP) CO LTD
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0003] The purpose of the present invention is to provide a method for predicting control indicators with processing parameters

Method used

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  • Method using processing parameter to predict control indexes during tobacco processing procedures
  • Method using processing parameter to predict control indexes during tobacco processing procedures
  • Method using processing parameter to predict control indexes during tobacco processing procedures

Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0020] (1) Select the feeding process in the processing of Yunyan (purple), and collect the data of process parameters (instantaneous value of feeding, instantaneous value of return air temperature) and process index (outlet temperature) data of a certain batch. Take the control tolerance range and 3 times the sigma area as the discriminant rule, eliminate the wrong or special samples in the data, and match the process parameter data and process index data in chronological order, and take 5 consecutive points as a group , take the average value as the minimum research unit, and determine the grouping criteria based on the process index tolerance as shown in Table 1:

[0021] Table 1 Grouping criteria for quality indicators of feeding process

[0022]

[0023] (2) Analyze and process the averaged data, and see Table 2 for the correlation analysis results of the processing parameters and quality indicators in the feeding process. It can be seen from Table 2 that the outlet t...

Embodiment 2

[0047] (1) Select the loose moisture regain process in the processing of Yunyan (purple), and collect the data of process parameters (instantaneous value of water addition, instantaneous value of return air temperature) and process indicators (moisture content at outlet) of three consecutive batches in the near future. Taking the control tolerance range and 3 times the sigma area as the judgment rule, eliminate the wrong or special samples in the data, and take 20 consecutive batches of process parameter data and process index data in a chronological order, and point-to-point The point is a group, and the average value is taken as the minimum research unit, and the grouping criteria are determined according to the tolerance of the process index of the plant, as shown in Table 5:

[0048]Table 5 Grouping Criteria for Quality Indexes of Loose Moisturizing Process

[0049]

[0050] (2) After analyzing and processing the averaged data, it can be obtained that the water content ...

Embodiment 3

[0074] (1) The drum drying process in the same Yunyan (purple) processing process, collect the process parameters (moisture content of incoming material, incoming material flow rate, cylinder wall temperature, return air temperature) data and process indicators of 10 consecutive batches recently (outlet temperature, moisture) data. Take the control tolerance range and 3 times sigma area as the judgment rule, eliminate the wrong or special samples in the data, and take 50 consecutive points as one in the process parameter data and process index data in the way of batch-to-batch and point-to-point The average value of the group is taken as the smallest research unit, and the grouping criteria are determined according to the tolerance of the process index of the plant, as shown in Table 7

[0075] Table 7 Grouping criteria of silk drying process quality indicators

[0076]

[0077]

[0078] (2) Analyzing and processing the averaged data, it can be obtained that the moistur...

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Abstract

The invention discloses a method using processing parameter to predict control indexes during tobacco processing procedures. The method includes data collection, data processing, relativity analysis, model establishment and model application. The method includes steps as follows: using the correlation analysis method and the discrimination analysis method to perform characterization analysis to processing parameters and control results of single procedures during the tobacco production process; establishing the mathematical model between numerous processing control parameters and corresponding control indexes of key procedures; and further, representing the relevance between the procedure processing parameters and the control indexes, and applying the model to the production process, so as to realize basis-based and directional adjustment to the control parameters. The method overcomes the defect that the present procedure capability evaluation method can only perform the control capability evaluation on the single process parameters or the process indexes, and can perform relevant description evaluation between parameters and indexes and between the indexes, thereby providing powerful basis support to the index adjustment and process testing.

Description

technical field [0001] The invention belongs to the technical field of cigarette production, and in particular relates to a method for predicting control indexes with processing parameters by establishing a mathematical model in a single process. Background technique [0002] At present, most manufacturers in the cigarette industry have successively built complete computer network databases through information technology transformation of processing equipment, and the collected process control parameters are becoming more and more abundant, but the application of data is still limited to SPC process control. In the tobacco processing process, each process has a variety of parameter combinations that can meet the quality control indicators (exit moisture content, outlet temperature), but only some of these parameter combinations can meet the process requirements. At present, there is no research report in this area, and the relationship between control indicators and processi...

Claims

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Application Information

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IPC IPC(8): G06Q10/04G06Q50/04
CPCY02P90/30
Inventor LI SHUIRONGPENG KAIBAOHE BANGHUAZHU YONGXIANG CHENGMINGSHEN XIAOFENGHUA YIKUNCHEN WENZHOU YUANZHENGYANG LIPINGZHUANG JIA
Owner HONGYUN HONGHE TOBACCO (GRP) CO LTD
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