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System Design of Online Monitoring and Controlling System Based on Zigbee in Greenhouse

Abstract : To solve the problem that online monitoring and controlling system in greenhouse, a wireless monitoring and controlling system which based on ZigBee has been proposed in this paper. The system consist data acquisition module and data gathering module. The data acquisition module adapted DHT11 as the temperature and humidity sensor, it monitor the information of temperature and humidity and transmit the information to the data gathering module by wireless RF Module CC2530, the data acquisition module is powered by solar battery. It realized wireless monitoring and easy to maintain. When received the monitoring results, the data gathering module will take logical judgment and realize automatic controlling of the temperature and humidity. The wireless monitoring and controlling network was connected by star topology, it adapted the ZigBee protocol. The network has the function of self-organize and self-adaptive. The result has shown that the system is more suitable for greenhouse monitoring and controlling.The paper has constructed star self-organization network based on ZigBee, the developed system can solve the technical problems of transmission of remote data, and also avoid the drawbacks of installing a large number of sensors and terminal equipments. The system meets the requirements of multi-point, multi-factor, mobility and convenience in environmental monitoring. Finally, the experimental results show that the network can achieve good self-organization, scalability, stability, performance systems built for wireless monitoring and control of temperature and humidity in greenhouse-site needs. The working performance of the system built is stable, suitable for wireless monitoring and control of temperature and humidity in greenhouse-site.
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Fengmei Li, Yaoguang Wei, Yingyi Chen, Xu Zhang. System Design of Online Monitoring and Controlling System Based on Zigbee in Greenhouse. 8th International Conference on Computer and Computing Technologies in Agriculture (CCTA), Sep 2014, Beijing, China. pp.702-713, ⟨10.1007/978-3-319-19620-6_76⟩. ⟨hal-01420287⟩

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