Proceedings of the 2017 2nd International Conference on Control, Automation and Artificial Intelligence (CAAI 2017)

Modelling of Information Systems of Intelligent Manufacturing Monitoring in Smart Factory

Authors
Yu'an He, Tian Chen, Kaiyuan Xu, Zongtang Wu
Corresponding Author
Yu'an He
Available Online June 2017.
DOI
https://doi.org/10.2991/caai-17.2017.62How to use a DOI?
Keywords
Intelligent manufacturing; Monitoring information system; Production process; Smart factory
Abstract
Information monitoring of the intelligent manufacturing plays an important role in smart factory. The construction of efficient information monitoring system is the important basis of manufacturing monitoring. In this paper, three factors of information monitoring system are presented, they are monitoring entity object, information transmission and collection method, and operating mode of monitoring system. Monitoring entity object include material, personnel and equipment. Information collection include three methods, involve in automation equipment collection, manual acquisition and automatic identification technology. Because manufacturing execution system (MES) is good for the intelligent manufacturing monitoring, so the manufacturing monitoring operating mode is proposed based on MES. At last, system model's good application value is achieved.
Open Access
This is an open access article distributed under the CC BY-NC license.

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Proceedings
2017 2nd International Conference on Control, Automation and Artificial Intelligence (CAAI 2017)
Part of series
Advances in Intelligent Systems Research
Publication Date
June 2017
ISBN
978-94-6252-360-9
ISSN
1951-6851
DOI
https://doi.org/10.2991/caai-17.2017.62How to use a DOI?
Open Access
This is an open access article distributed under the CC BY-NC license.

Cite this article

TY  - CONF
AU  - Yu'an He
AU  - Tian Chen
AU  - Kaiyuan Xu
AU  - Zongtang Wu
PY  - 2017/06
DA  - 2017/06
TI  - Modelling of Information Systems of Intelligent Manufacturing Monitoring in Smart Factory
BT  - 2017 2nd International Conference on Control, Automation and Artificial Intelligence (CAAI 2017)
PB  - Atlantis Press
SP  - 274
EP  - 277
SN  - 1951-6851
UR  - https://doi.org/10.2991/caai-17.2017.62
DO  - https://doi.org/10.2991/caai-17.2017.62
ID  - He2017/06
ER  -