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Package workshop quality auxiliary decision-making method

An auxiliary decision-making and quality technology, which is applied in the direction of instruments, manufacturing computing systems, data processing applications, etc., can solve the problems of data without rule analysis, product quality cannot provide auxiliary decision-making, etc.

Active Publication Date: 2019-08-23
HONGYUN HONGHE TOBACCO (GRP) CO LTD
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  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0006] The purpose of the present invention is to provide a method of auxiliary decision-making for the quality of the packaging workshop, so as to solve the problem that the prior art does not analyze the data of the production process and cannot provide auxiliary decision-making for product quality

Method used

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Embodiment Construction

[0040] The technical solution of the present invention is described in detail below through the examples, and the following examples are only exemplary and can only be used to explain and illustrate the technical solution of the present invention, rather than being interpreted as a limitation to the technical solution of the present invention.

[0041] In order to accurately make auxiliary decisions on the quality of the packaging workshop, it is necessary to collect and store various production quality-related data in the packaging workshop. Due to the large number of data nodes and data types in the packaging workshop, it is necessary to use different principles for different equipment. Acquisition and storage, and efficient data retrieval can be realized through the storage method of cloud data center.

[0042] In order to support decision-making support for the quality of the packing workshop, it is necessary to fully understand all the factors affecting product quality in ...

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Abstract

The invention relates to a package workshop quality auxiliary decision-making method. The method comprises the following steps: acquiring a quality abnormal data set in a first set time period as a reference sequence; acquiring a second set time period data set in the production process as a comparison sequence; calculating an association coefficient between the reference sequence and each comparison sequence to obtain a correlation degree; and determining the quality mode factors, sorting the quality mode factors according to the correlation degrees obtained by the comparison sequences corresponding to the quality mode factors, and judging the quality mode factors. According to the technical scheme, correlation coefficient calculation and correlation degree analysis are carried out through the quality mode data set, the quality problem category data set and the quality problem reference data set, sorting serves as a feature selection model, and a decision-making tree is constructed through rules to carry out auxiliary decision making. Main specific categories are classified into a mechanical structure, operation control, the overall situation of a work class, auxiliary material problems, special abnormity, other unknown reasons and the like.

Description

technical field [0001] The invention belongs to the technical field of auxiliary decision-making for quality management in tobacco wrapping workshops, in particular to a method for auxiliary decision-making for quality in wrapping workshops. Background technique [0002] In the tobacco production workshop, there are many types of packaging equipment, the types and causes of product quality problems are intricate, and the various factors related to the causes of quality problems are interrelated, which brings great difficulties to the quality control of the packaging workshop. [0003] Traditional quality control methods cannot detect in time and reasonably do a good job in quality control and proactive guidance. In the traditional work, the only way to find out the existing quality hidden dangers is to constantly inspect and observe the quality situation. Due to the complexity of the roll-to-roll packaging process, it cannot cover everything. In the past, operators and main...

Claims

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Application Information

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IPC IPC(8): G06Q10/06G06Q50/04
CPCG06Q10/06395G06Q50/04Y02P90/30
Inventor 朱正运孔维熙华卫郭瑞川朱知元刘晨何超彭国事敖茂钱周
Owner HONGYUN HONGHE TOBACCO (GRP) CO LTD
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