Proceedings of the 2015 5th International Conference on Computer Sciences and Automation Engineering

The Design of Sea Water Aquaculture Water Quality Monitoring System Based on Zigbee and Data Fusion

Authors
Yujie Chen, Peixue Liu, Feng Chen, Qianqian He
Corresponding Author
Yujie Chen
Available Online February 2016.
DOI
10.2991/iccsae-15.2016.18How to use a DOI?
Keywords
Water Quality Monitoring, Zig Bee, data fusion, STM32F103ZET6
Abstract

Aiming at the current mariculture problem ofbackward environmental monitoring technology, design amonitoring system base on ARM processor STM32F103ZET6 and RF chip CC2530. Using wireless sensor nodes to collecttemperature, pH value,dissolved oxygen and other informationin Sea culture zone. Through the ARM processor, respectively, average the collect data and processing data based on adaptive weighted average algorithm, Send the processed data through the Zig Bee wireless, The coordinator access networks byGPRS, monitor LAN and remote computers with software platform.

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 2015 5th International Conference on Computer Sciences and Automation Engineering
Series
Advances in Computer Science Research
Publication Date
February 2016
ISBN
10.2991/iccsae-15.2016.18
ISSN
2352-538X
DOI
10.2991/iccsae-15.2016.18How 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  - Yujie Chen
AU  - Peixue Liu
AU  - Feng Chen
AU  - Qianqian He
PY  - 2016/02
DA  - 2016/02
TI  - The Design of Sea Water Aquaculture Water Quality Monitoring System Based on Zigbee and Data Fusion
BT  - Proceedings of the 2015 5th International Conference on Computer Sciences and Automation Engineering
PB  - Atlantis Press
SP  - 87
EP  - 90
SN  - 2352-538X
UR  - https://doi.org/10.2991/iccsae-15.2016.18
DO  - 10.2991/iccsae-15.2016.18
ID  - Chen2016/02
ER  -