Proceedings of the 2024 3rd International Conference on Artificial Intelligence, Internet and Digital Economy (ICAID 2024)

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Design and implementation of a data-driven tobacco production line warning system

Authors
Xiaoshan Si1, *, Qiande Sun1, Wentao Xu1
1Xinjiang Cigarette Factory, Hongyun Honghe Tobacco (Group) Co., Ltd, Urumqi, Xinjiang, 830000, China
*Corresponding author. Email: sixiaoshan@163.com
Corresponding Author
Xiaoshan Si
Available Online 31 August 2024.
DOI
10.2991/978-94-6463-490-7_6How to use a DOI?
Keywords
Quality warning; PLC; Cigarette manufacturing
Abstract

In various stages of cigarette production, abnormal data is often generated, directly or indirectly impacting product quality and output. Previous studies relied on tobacco warning systems to monitor and alert on data exceeding set thresholds, reducing production losses caused by abnormal data. However, these methods didn’t delve into the correlation between tobacco production data and equipment parameters. To address this, our paper introduces an optimized method for the tobacco production line warning system based on feature analysis. This approach establishes a link between process parameters and equipment characteristics, explores their correlation through data analysis models, and selects the best warning parameters by comparing model accuracy. Experimental results indicate that our proposed method significantly enhances the accuracy of the warning system compared to traditional tobacco warning systems.

Copyright
© 2024 The Author(s)
Open Access
Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

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Volume Title
Proceedings of the 2024 3rd International Conference on Artificial Intelligence, Internet and Digital Economy (ICAID 2024)
Series
Atlantis Highlights in Intelligent Systems
Publication Date
31 August 2024
ISBN
978-94-6463-490-7
ISSN
2589-4919
DOI
10.2991/978-94-6463-490-7_6How to use a DOI?
Copyright
© 2024 The Author(s)
Open Access
Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

Cite this article

risenwbib
TY  - CONF
AU  - Xiaoshan Si
AU  - Qiande Sun
AU  - Wentao Xu
PY  - 2024
DA  - 2024/08/31
TI  - Design and implementation of a data-driven tobacco production line warning system
BT  - Proceedings of the 2024 3rd International Conference on Artificial Intelligence, Internet and Digital Economy (ICAID 2024)
PB  - Atlantis Press
SP  - 38
EP  - 45
SN  - 2589-4919
UR  - https://doi.org/10.2991/978-94-6463-490-7_6
DO  - 10.2991/978-94-6463-490-7_6
ID  - Si2024
ER  -