Proceedings of the 2019 International Conference on Modeling, Analysis, Simulation Technologies and Applications (MASTA 2019)

Design of Filling Production Line Based on S7—300 Drug Classification

Authors
Li-na Liu, Peng-huai Duan, Wei Shen, Ke-nan Li, Jun Ji
Corresponding Author
Li-na Liu
Available Online July 2019.
DOI
10.2991/masta-19.2019.43How to use a DOI?
Keywords
Automatic control, PLC, Touch screen
Abstract

Through the application of S7-300, HIM touch screen, DP/AS-i, ET200M, configuration programming, and screen design through the control of the production line, the sensor counts the empty bottle, the full bottle, whether the raw materials are sufficient, and whether the processing is sufficient Qualified, tested and calculated the pass rate and reject rate. The recipe can be selected via the HIM touch screen and the device can be monitored and controlled in real time. And there is a problem with real-time alarms.

Copyright
© 2019, 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/).

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Volume Title
Proceedings of the 2019 International Conference on Modeling, Analysis, Simulation Technologies and Applications (MASTA 2019)
Series
Advances in Intelligent Systems Research
Publication Date
July 2019
ISBN
978-94-6252-761-4
ISSN
1951-6851
DOI
10.2991/masta-19.2019.43How to use a DOI?
Copyright
© 2019, 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  - Li-na Liu
AU  - Peng-huai Duan
AU  - Wei Shen
AU  - Ke-nan Li
AU  - Jun Ji
PY  - 2019/07
DA  - 2019/07
TI  - Design of Filling Production Line Based on S7—300 Drug Classification
BT  - Proceedings of the 2019 International Conference on Modeling, Analysis, Simulation Technologies and Applications (MASTA 2019)
PB  - Atlantis Press
SP  - 258
EP  - 261
SN  - 1951-6851
UR  - https://doi.org/10.2991/masta-19.2019.43
DO  - 10.2991/masta-19.2019.43
ID  - Liu2019/07
ER  -