Proceedings of the 2016 International Conference on Computational Science and Engineering (ICCSE 2016)

The Design of Water Quality Monitoring Cloud Platform Based on BS Architecture

Authors
Yu-jie Chen, Pei-xue Liu, Bao-hua Jiang, Fei Feng
Corresponding Author
Yu-jie Chen
Available Online October 2016.
DOI
10.2991/iccse-16.2016.16How to use a DOI?
Keywords
Browser/Serve, MySQL, Internet+
Abstract

In recent years, with China's aquaculture industry develops rapidly, aquaculture water quality management information collection, transmission, storage as well as regulation, has got newer and higher requirements. The computer network technology and remote control technology continues to mature, which makes these techniques more and more applicable to aquaculture. At present informatization is the trend for the development of mariculture, this paper designs and implements a B/S based aquaculture water quality monitoring cloud platform in mariculture industry. Compared with the traditional C/S architecture, the B/S architecture model could realize the real-time monitoring of mariculture comprehensive management and on water quality parameters.

Copyright
© 2016, 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 International Conference on Computational Science and Engineering (ICCSE 2016)
Series
Advances in Computer Science Research
Publication Date
October 2016
ISBN
10.2991/iccse-16.2016.16
ISSN
2352-538X
DOI
10.2991/iccse-16.2016.16How to use a DOI?
Copyright
© 2016, 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  - Yu-jie Chen
AU  - Pei-xue Liu
AU  - Bao-hua Jiang
AU  - Fei Feng
PY  - 2016/10
DA  - 2016/10
TI  - The Design of Water Quality Monitoring Cloud Platform Based on BS Architecture
BT  - Proceedings of the 2016 International Conference on Computational Science and Engineering (ICCSE 2016)
PB  - Atlantis Press
SP  - 93
EP  - 98
SN  - 2352-538X
UR  - https://doi.org/10.2991/iccse-16.2016.16
DO  - 10.2991/iccse-16.2016.16
ID  - Chen2016/10
ER  -