Proceedings of the 2017 7th International Conference on Applied Science, Engineering and Technology (ICASET 2017)

Design of Monitoring System Software Based on Hadoop Technology

Authors
Shijie Luo, Dong Xie, WeiLin Qiu, Hui Wang, Minzhi He
Corresponding Author
Shijie Luo
Available Online May 2017.
DOI
10.2991/icaset-17.2017.35How to use a DOI?
Keywords
Greenhouse, Hadoop, Monitoring system
Abstract

This research is to develop agricultural greenhouse monitoring system based on Internet of Things. Software design includes the program design of the nodes of wireless sensor network and the program design of monitoring terminals. In the whole monitoring system, the wireless sensor network at perceptive interactive layer of Internet of Things is responsible for collecting and transmitting the environment information in greenhouse to the coordinator nodes of network. The monitoring system chooses Hadoop wireless technology and builds Hadoop wireless sensor network as the perceptive part of the whole system. Through system debugging, the system can collect, transmit and display information. Embedded hand-held terminal can send the command of displaying and controlling data.

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 2017 7th International Conference on Applied Science, Engineering and Technology (ICASET 2017)
Series
Advances in Engineering Research
Publication Date
May 2017
ISBN
10.2991/icaset-17.2017.35
ISSN
2352-5401
DOI
10.2991/icaset-17.2017.35How 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  - Shijie Luo
AU  - Dong Xie
AU  - WeiLin Qiu
AU  - Hui Wang
AU  - Minzhi He
PY  - 2017/05
DA  - 2017/05
TI  - Design of Monitoring System Software Based on Hadoop Technology
BT  - Proceedings of the 2017 7th International Conference on Applied Science, Engineering and Technology (ICASET 2017)
PB  - Atlantis Press
SP  - 187
EP  - 191
SN  - 2352-5401
UR  - https://doi.org/10.2991/icaset-17.2017.35
DO  - 10.2991/icaset-17.2017.35
ID  - Luo2017/05
ER  -