Research Of The Greenhouse Environment Intelligence Monitoring Control System Based On Wireless Sensor Network

As a brand-new development direction of information science domain,the development of Wireless Sensor Network(WSN) has caused widespread attention of the academic circles and the industry due to the great promise and potential with the various applications. The ZigBee wireless communication protocol is a software protocol which is very good at short communication, low-power and low-cost application. It has remarkable advantages in industrial control area.In this thesis, the main thermodynamic process of the greenhouse environment is analyzed a generalmechanism and greenhouse model is established. A kind of fuzzy neural network method which combined fuzzy knowledge repersentation with neural network self-learning ability and adopted a fast study algorithm is persented,a FuzZy Neural Networks Conrtoller(FNNC) for greenhouse is designed.This controller combines the advantages of fuzzy logic and neural network to improve the learning ability and the performance of system.It not only deals with fuzzy information, realizes reasoning functions, but also controls the input and output of values, optimizes the self-adaptation of membership functions and weights of fuzzy logic rules through the self-learning ability of neural networks.In the design, the system requirements, framework and function were described at first, then designed handware and software of the node. The design of this system is based on JN5139 module which produced by JENNIC in England, and it is the most advanced module in the world. The Z-Stack has been transplanted in the node for the application of environmental monitoring control system. After finishing the design, the experiment proves that the system communication is stable and reliable.