Proceedings of the 2018 8th International Conference on Applied Science, Engineering and Technology (ICASET 2018)

Automatic Alarm of Tobacco Blending Accuracy Based on PLC Control System

Authors
Yanyan Cao, Ligong Cui, Qian Lv
Corresponding Author
Yanyan Cao
Available Online April 2018.
DOI
10.2991/icaset-18.2018.37How to use a DOI?
Keywords
Blending accuracy, Automatic alarm, PLC control
Abstract

The tobacco blending is a special process in the tobacco product line. It plays a very important role in this area because it will affect the quality of the tobacco. The instant blending accuracy of the technological requirement is higher than 85??.... This paper introduces an automatic alarm of tobacco blending accuracy based on PLC control system. The automatic alarming system is available and we can greatly improve the producing and automatic level. This is worth extending in the tobacco industry.

Copyright
© 2018, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

Download article (PDF)

Volume Title
Proceedings of the 2018 8th International Conference on Applied Science, Engineering and Technology (ICASET 2018)
Series
Advances in Engineering Research
Publication Date
April 2018
ISBN
10.2991/icaset-18.2018.37
ISSN
2352-5401
DOI
10.2991/icaset-18.2018.37How to use a DOI?
Copyright
© 2018, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

Cite this article

TY  - CONF
AU  - Yanyan Cao
AU  - Ligong Cui
AU  - Qian Lv
PY  - 2018/04
DA  - 2018/04
TI  - Automatic Alarm of Tobacco Blending Accuracy Based on PLC Control System
BT  - Proceedings of the 2018 8th International Conference on Applied Science, Engineering and Technology (ICASET 2018)
PB  - Atlantis Press
SP  - 181
EP  - 186
SN  - 2352-5401
UR  - https://doi.org/10.2991/icaset-18.2018.37
DO  - 10.2991/icaset-18.2018.37
ID  - Cao2018/04
ER  -