Proceedings of the 7th International Conference on Education, Management, Information and Computer Science (ICEMC 2017)

Design of Intelligent Control System for Greenhouse Water Pump Based on Internet of Things

Authors
Xue Dingzhu
Corresponding Author
Xue Dingzhu
Available Online June 2016.
DOI
10.2991/icemc-17.2017.30How to use a DOI?
Keywords
Internet of things; Automatic control; Water Pump
Abstract

With the popularity of networking technology, agriculture will gradually shift from a manpower centered, depending on the isolated machinery production mode to the information and software centric mode of production, therefore a variety of automatic and intelligent remote control equipment is used extensively. The temperature sensor, humidity sensor, PH sensor, photometric sensor and CO2 sensor which use the International System in an intelligent water pump control system for a greenhouse can detect the physics parameters of temperature, relative humidity, PH value, strength of illumination net, soil nutrient and CO2 concentration. By displaying in real-time through a variety of instruments, or as a factor of an auto control pump system used in the automatic control of water pump, the system can ensure a good environment for crops. This system is mainly composed of MCU module for data transmission to control the running state of water pump. Moreover, the system equipped with a remote control device can realize manual remote control. Even manually controlling the water pump can improve the reliability and safety of the pump system in other emergency situations.

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 7th International Conference on Education, Management, Information and Computer Science (ICEMC 2017)
Series
Advances in Computer Science Research
Publication Date
June 2016
ISBN
978-94-6252-372-2
ISSN
2352-538X
DOI
10.2991/icemc-17.2017.30How 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  - Xue Dingzhu
PY  - 2016/06
DA  - 2016/06
TI  - Design of Intelligent Control System for Greenhouse Water Pump Based on Internet of Things
BT  - Proceedings of the 7th International Conference on Education, Management, Information and Computer Science (ICEMC 2017)
PB  - Atlantis Press
SP  - 143
EP  - 147
SN  - 2352-538X
UR  - https://doi.org/10.2991/icemc-17.2017.30
DO  - 10.2991/icemc-17.2017.30
ID  - Dingzhu2016/06
ER  -