Proceedings of the 2018 7th International Conference on Energy and Environmental Protection (ICEEP 2018)

The Design of Intelligent Fungi TrainingSystem Basedon ZigBee Technology

Authors
Ping-ping Xiao, Chao Wang
Corresponding Author
Ping-ping Xiao
Available Online September 2018.
DOI
10.2991/iceep-18.2018.2How to use a DOI?
Keywords
Monitoring, system, ZigBeeCC2530, Embedded System
Abstract

Considering the conditions of the environment for the growth of fungi, we designed the intelligent fungi training monitoring system based on ZigBee wireless communication, put forward the design idea and principle circuit for the control factors, and gave the general design plan. With ARM micro controller CC2530 as the core, the system detected the signals of sensors, such as temperature, humidity, light intensity and C02 concentration sensor, and transmitted to CC2530 for data processing. The measurement and control of the fungus culture room were realized. The correctness and feasibility of the system's principle design were verified by extensive experiments.

Copyright
© 2018, 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 2018 7th International Conference on Energy and Environmental Protection (ICEEP 2018)
Series
Advances in Engineering Research
Publication Date
September 2018
ISBN
10.2991/iceep-18.2018.2
ISSN
2352-5401
DOI
10.2991/iceep-18.2018.2How to use a DOI?
Copyright
© 2018, 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  - Ping-ping Xiao
AU  - Chao Wang
PY  - 2018/09
DA  - 2018/09
TI  - The Design of Intelligent Fungi TrainingSystem Basedon ZigBee Technology
BT  - Proceedings of the 2018 7th International Conference on Energy and Environmental Protection (ICEEP 2018)
PB  - Atlantis Press
SP  - 10
EP  - 13
SN  - 2352-5401
UR  - https://doi.org/10.2991/iceep-18.2018.2
DO  - 10.2991/iceep-18.2018.2
ID  - Xiao2018/09
ER  -