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Standardization and evaluation system and method based on cigarette batch data

A batch data and evaluation system technology, applied in the field of tobacco quality management and standardization, can solve problems such as analysis obstacles, inability to establish a connection between standard data and quality standards, and the impact of data importance

Active Publication Date: 2021-05-28
HONGTA TOBACCO GRP
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0003] At present, in the domestic tobacco industry, the statistics and analysis of collected data involve various processes and production links. Due to the many key quality characteristics of the production process and frequent standard adjustments, the obstacles to data statistics are also more prominent. For example, the key quality characteristics The multiple regression analysis of multiple regression analysis will affect the importance of data due to different dimensions. When performing long-term process fluctuation analysis, it will bring greater obstacles to the analysis due to changes in standards.
[0004] Conventional data standardization methods include "minimum-maximum standardization", "Z-score standardization" and "decimal scale standardization". Due to the large amount of key quality characteristic data involved in the cigarette industry, the standards are different between different brands. None of the standardized methods can link the standard data with the quality standard. When performing quality analysis, for any given quality data, it is difficult to directly judge the compliance of the data. It is necessary to find the target of this quality characteristic under the corresponding standard of the corresponding brand. Values ​​and tolerances to judge the compliance of quality data

Method used

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  • Standardization and evaluation system and method based on cigarette batch data
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  • Standardization and evaluation system and method based on cigarette batch data

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Experimental program
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Effect test

Embodiment 1

[0114] When using the standardization method and evaluation method of batch data described in the present invention, the constraint form of the data index standard involved should be determined at first. The standard given in the present invention defaults to the intra-group standard, that is, for multiple groups of data, each The standard value of group data may be different, but the constraint form of each group standard is required to remain unchanged. If the standard constraint form changes (such as two-sided standard to one-sided standard), it needs to be divided into two groups of data and calculated separately. Determine the calculation method of standardization according to the form of the standard, and then standardize the collected data and standards within the group, calculate the mean value and standard deviation within the group respectively, and calculate the pass rate of normal distribution; calculate the mean value and standard deviation between groups according ...

Embodiment 2

[0158] Present embodiment comprises the content of embodiment 1 and adopts a concrete example to supplement:

[0159] The present invention will be specifically described below by taking the length of the filter rod as an example.

[0160] 1. Collect the original data and organize them into n*k matrix form. In this example, there are 15 groups of samples (generally required k≥30, due to limited space, only 15 groups of samples are collected), each group of samples has 20 samples, forming 20 *15 matrix, as shown in Table 3.

[0161] Table 3 Example data matrix

[0162] length 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 sample 1 144 144 144 144 144 144 144 144 144 144 144 144 144 144 144 144 144 144 144 144 sample 2 120 120 120 120 120 120 120 120 120 120 120 120 120 120 119 119 120 120 120 120 sample 3 144 144 144 144 144 144 144 144 144 144 144 144 144 144 144 144 144 ...

Embodiment 3

[0183] A standardization and evaluation system based on cigarette batch data, which includes the following modules:

[0184]The data collection and sorting module is configured to collect batch data in the cigarette production process, organize the batch data collected in the cigarette production process, and use steady-state data in the effective data;

[0185] The data standard determination module is configured to firstly select the type of the constraint form of the standard form specified by the data index;

[0186] The standardized model conversion module performs standardized conversion on the data in the group, the target value in the group, and the upper and lower limits in the group according to the type of the constraint form of the selected standard form;

[0187] Calculating the mean value and standard deviation module within the group, which is configured to calculate the mean value and standard deviation within the group on the data after the standardized conver...

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Abstract

The invention provides a standardization and evaluation system and method based on cigarette batch data, which can simultaneously consider intra-group fluctuations and inter-group fluctuations. The present invention determines the standard constraint form by collecting the steady-state data of the cigarette production process, and standardizes the data in the group, the target value in the group, and the upper and lower limits according to the standard form of the index; The upper and lower limits calculate the pass rate within the group, the pass rate between groups, and the final pass rate of the synthetic batch data. The invention evaluates the steady-state data, scales the data in proportion to make it fall into a specific interval, and eliminates the obstacles brought by dimension and standard changes to data analysis and comparison. At the same time, considering the different smoothing effects of the mean between groups due to different sample sizes, the given standard range between groups is reduced based on the sample size, so as to more fully reflect the homogenization level of the cigarette production process.

Description

technical field [0001] The invention belongs to the technical field of tobacco quality management and standardization, and in particular relates to a standardization and evaluation system and method based on cigarette batch data. Background technique [0002] The Tobacco Industry Standard of the People's Republic of China with the industry standard number YC / T 295-2009 introduces the "Guidelines for the Evaluation of the Capability of the Cigarette Manufacturing Process", which specifies the basic requirements and methods for the evaluation of the capability of the cigarette manufacturing process, but this method does not consider multiple sets of data fluctuations between groups. In the cigarette production process, inter-group fluctuations reflect the homogeneous production level of the product, which needs to be included in the process capability test. The appendix of this standard provides a processing method for "massive" data, and the inter-group variance is included i...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06Q10/06
CPCG06Q10/06393G06Q10/06395
Inventor 黄秋婷马晓伟夏琼凤戚文辉靳志富储睿冯振宇王一帆杨磊蔡媛许玲玲苏学英杨雯万梅陆光钰王文浩吴峰
Owner HONGTA TOBACCO GRP