Whole-process quality evaluation method of silk-making batches

Abstract

The invention discloses a quality evaluation method for the whole process of silk-making batches. The design concept of the invention is to comprehensively collect all parameter data of the whole silk-making line, and to distinguish the data into process indicators and equipment according to the process route of the corresponding product grade There are three types of indicators and instrumentation indicators, and the effective data among them are identified for steady-state process parameters and unsteady-state process parameters. When evaluating, make full use of steady-state process parameters and unsteady-state process parameters. Through step-by-step evaluation, the full-line quality evaluation results of each process route including product and process control are obtained. Based on the process characteristics of the silk production line, the present invention digs deep into the quality status, equipment, instrumentation status and process control data of each process of silk production, realizes the real-time evaluation of the whole process, and improves the production process processing between different batches of the same brand. The level of process quality consistency provides scientific guidance and effectively improves product quality control capabilities in the silk production process.

Description

technical field [0001] The invention relates to the field of tobacco processing, in particular to a method for evaluating the quality of the whole process of shredded batches. Background technique [0002] Silk-making is an important link in cigarette production, and it carries the main technological task of improving the inherent quality of cigarettes. High-level silk-making process control is the quality assurance for brand development. Due to the long technological process of the silk-making line, many influencing factors, and the high degree of mutual influence of each link, a large amount of data is generated in this process. Mining, processing and utilizing data to release the value of data is an effective way to improve the quality of silk products and a necessary measure for enterprises to achieve digital transformation. [0003] At present, most of the quality evaluation systems used in the silk production line are based on Statistical Process Control (SPC) technol...

AI Technical Summary

Problems solved by technology

[0005] (1) There is a lack of full-line quality evaluation and control of the final product under the entire process route. In particular, the current evaluation of silk products is mainly based on the evaluation of quality results, ignoring the evaluation of process control

[0006] (2) The traditional SPC technology only independently evaluates a single index and a single parameter, without building a scientific evaluation framework among multiple levels of product, process, index, and parameter, and cannot completely, comprehensively, and accurately judge the quality of a certain batch Bad

[0007] (3) The existing evaluation mechanism only roughly and simply eliminates too many non-stationary data, which covers up many quality problems, and does not carry out objective analysis on non-stationary data; at the same time, it also affects the acquisition of steady-state data, Insufficient data integrity reduces the accuracy of the final evaluation results

[0008] (4) The existing technology only focuses on the quality of a certain batch of products, and lacks the evaluation of the health status of instrumentation and equipment operation

Then, the effectiveness and accuracy of silk quality parameter control are not only related to the operating status of the process equipment, but also closely related to the accuracy of the instruments and meters that provide parameter detection. Once the equipment or measurement, detection sensors and instruments are inaccurate, There will be quality accidents

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