Proceedings of the 2015 Information Technology and Mechatronics Engineering Conference

Research on greenhouse intelligent remote control system

Authors
Jun wang, Yu Haiye
Corresponding Author
Jun wang
Available Online March 2015.
DOI
10.2991/itoec-15.2015.39How to use a DOI?
Keywords
intelligent control, remote control, realtime display, fuzzy control strategy
Abstract

An intelligent greenhouse remote control system based on VC++ 6.0 has been designed according to the needs of greenhouse control. The structure of this system is composed of four layers: a remote computer is taken as the client-side, a local computer is taken as the server-side, a singlechip of Stc15f2k60s2 is adopted as the greenhouse controller, a data collection unit and actuators. The environment parameters and actuators running state can be realtime displayed in the remote control software and the opening and closing of actuators in the greenhouse can be manual controlled by remote computer. The local computer monitoring software has the functions of real-time display, data storage, parameter settings and changings, the design of fuzzy control strategy and the status display of actuators, so as to control the environment parameters such as temperature and humidity by setting different temperature value in different period. A more than one month experiment of the system was conducted in the greenhouse, and the results show that the environment parameters such as temperature and humidity can be controlled within the proper scope of plants growth, and create a good environment for plants.

Copyright
© 2015, 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 Information Technology and Mechatronics Engineering Conference
Series
Advances in Computer Science Research
Publication Date
March 2015
ISBN
978-94-62520-52-3
ISSN
2352-538X
DOI
10.2991/itoec-15.2015.39How to use a DOI?
Copyright
© 2015, 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  - Jun wang
AU  - Yu Haiye
PY  - 2015/03
DA  - 2015/03
TI  - Research on greenhouse intelligent remote control system
BT  - Proceedings of the 2015 Information Technology and Mechatronics Engineering Conference
PB  - Atlantis Press
SP  - 186
EP  - 190
SN  - 2352-538X
UR  - https://doi.org/10.2991/itoec-15.2015.39
DO  - 10.2991/itoec-15.2015.39
ID  - wang2015/03
ER  -