A process parameter optimization method for multi-process industrial production process

A technology for process parameter optimization and industrial production, applied in the field of tobacco silk making, can solve the problems affecting the quality of finished cigarettes and the high rate of broken silk, and achieve the effects of reducing the number of input variables, improving efficiency and improving accuracy

Active Publication Date: 2022-04-22
HANGZHOU ANMAISHENG INTELLIGENT TECH CO LTD
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AI Technical Summary

Problems solved by technology

[0006] The present invention mainly solves the problem in the existing technology that the shredded rate is high due to poor process parameters, thereby affecting the quality of finished cigarettes; it provides a process parameter optimization method for multi-process industrial production processes, rationally configures process parameters, and improves Tobacco shred rate

Method used

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  • A process parameter optimization method for multi-process industrial production process
  • A process parameter optimization method for multi-process industrial production process

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Embodiment 1

[0034] Embodiment one: a kind of process parameter optimization method for multi-process industrial production process, comprises the following steps:

[0035] Step S101: analyzing the production process, identifying the final quality index of the industrial production process, the quality index of each process and the process parameters in the process.

[0036] Step S102: Based on the batch number, associate the final quality index with the quality index of each process and the process parameters in the process to form a batch record, and collect multiple batch records to form a modeling data set.

[0037] Step S103: Screen out the final quality index and quality index data of each process from the modeling data set to form a final quality index prediction data set; screen out the quality index of each process and process parameter data in each process from the modeling data set to form each Process quality index prediction dataset.

[0038] Step S104: Based on the final qua...

Embodiment 2

[0050] Embodiment 2, a process parameter optimization method for a multi-process industrial production process, the multi-process industrial production process is a tobacco shred process, such as figure 1 shown, including the following steps:

[0051] Step S101: Analyzing the production process, identifying the final quality index of the silk-making process, the quality index of each process and the process parameters in the process; the final quality index is the whole silk rate, and the process includes loosening and regaining moisture, adding shredded leaves and drying the thin plate, The quality indicators of the loosening and regaining process include outlet moisture content and outlet temperature, and the process parameters include inlet moisture content, inlet material flow rate, water flow rate and hot air temperature; the quality indicators of the shredded leaf feeding process include outlet moisture content and outlet temperature, and process parameters include inlet ...

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Abstract

The invention discloses a process parameter optimization method for multi-process industrial production process, comprising the following steps: Step S101: analyzing the production process, identifying the final quality index of the industrial production process, the quality index of each process and the process parameters in the process ; Step S102: Based on the batch number, associate the final quality index with the quality index of each process and the process parameters in the process to form a batch record, collect multiple batch records, and form a modeling data set; step S103: Screen out the final quality index and the quality index data of each process from the modeling data set to form a final quality index prediction data set; the present invention obtains the optimal quality index of each process through the optimal final quality index model, and obtains the best quality index through each process The optimal process parameters of each process can be obtained through the quantity index, that is, in the production process, by controlling the process parameters to be the optimal process parameters, a higher final quality index can be obtained, and the industrial production efficiency can be improved.

Description

technical field [0001] The invention relates to the technical field of shredded tobacco, in particular to a process parameter optimization method for multi-process industrial production processes. Background technique [0002] With the increasingly fierce market competition in the tobacco industry, consumers have higher and higher requirements for the quality of finished cigarettes. Studies have shown that the trimming rate at the end of the silk-making process has a great influence on the quality of finished cigarettes. Therefore, the quality of finished cigarettes can be improved by increasing the whole shred rate. The silk making process includes multiple processes, and the process parameters of each process have a great influence on the process and even the whole silk rate. In order to obtain the highest possible whole yarn rate, it is necessary to optimize the process parameters of each process and find the optimal combination of process parameters. [0003] At prese...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06Q10/06G06Q50/04G06N3/00G06N3/08G06N3/12A24B3/00
CPCG06Q10/06393G06Q10/06395G06Q50/04G06N3/006G06N3/08G06N3/126A24B3/00Y02P90/30
Inventor 倪军蔡长兵朱思奇吴洁张志勇
Owner HANGZHOU ANMAISHENG INTELLIGENT TECH CO LTD
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