Proceedings of the 2016 6th International Conference on Mechatronics, Computer and Education Informationization (MCEI 2016)

Design of Safety Production Control System Based on Big Data Cloud Computing Platform

Authors
Ganglong Fan, Yongliang Li
Corresponding Author
Ganglong Fan
Available Online December 2016.
DOI
10.2991/mcei-16.2016.69How to use a DOI?
Keywords
Safety production control; Big data; Cloud platform; Server virtualization; Hadoop
Abstract

This article describes the big data analysis and processing methods based on cloud platform, and then this paper discusses the function of the safety production supervision system. Big data processing technology can effectively analyze the huge amount of data in the safety supervision, and provide intelligent service for managers. The paper presents design of safety production control system based on big data cloud computing platform. The validity of the proposed method is verified by experiments.

Copyright
© 2017, 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 2016 6th International Conference on Mechatronics, Computer and Education Informationization (MCEI 2016)
Series
Advances in Intelligent Systems Research
Publication Date
December 2016
ISBN
10.2991/mcei-16.2016.69
ISSN
1951-6851
DOI
10.2991/mcei-16.2016.69How to use a DOI?
Copyright
© 2017, 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  - Ganglong Fan
AU  - Yongliang Li
PY  - 2016/12
DA  - 2016/12
TI  - Design of Safety Production Control System Based on Big Data Cloud Computing Platform
BT  - Proceedings of the 2016 6th International Conference on Mechatronics, Computer and Education Informationization (MCEI 2016)
PB  - Atlantis Press
SP  - 329
EP  - 333
SN  - 1951-6851
UR  - https://doi.org/10.2991/mcei-16.2016.69
DO  - 10.2991/mcei-16.2016.69
ID  - Fan2016/12
ER  -