Design And Application Of Wireless Sensor Networks In Facility Agriculture

The scope of study covers environmental parameters of facility crops in condition of good control is in favor of crops healthy development.So the purpose of our research is to improve vegetables growth environment in greenhouse by designed wireless sensor networks for parameters monitoring and controlling such as temperature?humidity?CO2 and so on.According to the research of our subject,the conclusion is:(1)The paper discussed the design theory of wireless sensor networks(WSN).Proposed several schemes for each design element.And compared the characteristic of those schemes in order to choose the best one for WSN system(For example,defined the type of WSN and senor etc.)(2)The software and hardware of environmental monitoring system for vegetable greenhouse were finished.The paper choose the ZigBee communication module as network protocol.The monitoring system?terminal node?sensor circuit and wireless routing were all finished.On the other hand,the paper took improved ZBR algorithm as control algorithm.To verify the model of rationality,the paper did the simulation and got well results.(3)We experimented on the network transmission performance of system.Took8 node spacing with different grades,test the data transmission and reception.The results of experiment show that the Max packet loss was 4.6%,it's satisfy the standard requirements.So the WSN system we designed was reasonable.(4)The paper designed the control system of facility agriculture equipment.Including the control systems of greenhouse shutter and CO2 canister.When we finished the systems design,we did a test on parameters of light intensity and CO2 concentration for validated the system performance.As a results,we get a well environmental parameters and it proved that the systems we designed was reasonable.It is laid the foundation for good growth and quality improvement of crops.(5)The WSN system used in Chai Mihe demonstration base was did the functionality demos.The results of observation show that it had high.precision data for 24 hours environmental monitoring of vegetables greenhouse.