Monitoring System Of Temperature And Humidity In Chicken Farm Based On ZigBee

With the expanding scale of farming,the problems of chicken farms’ unreasonable layout and unsound equipment management are more and more outstanding,resulting in the low efficiency of raising chicken.So most chicken farms are in urgent need of relevant monitoring systems to improve such problems,especially small and medium chicken farms.Although there are many wired or wireless monitoring systems used in chicken farms,most of these systems are suitable for large chicken farms and not prevalent.Wired monitoring system has the advantages of high transmission speed and high security performance,but brings many problems such as complicated installation,high cost and small monitoring range at the same time.Wireless monitoring system has the advantages of high popularity,low cost and wide monitoring range.But many wireless monitoring systems are not well considered for the user in intelligent monitoring,for example,in monitoring,monitoring interface can not display the fault of monitoring equipment directly,and the user need to manually control monitoring equipment,which wastes time and manpower,can not achieve intelligent monitoring.To solve these problems,this paper studies the monitoring system of temperature and humidity in chicken farm based on ZigBee,the main work is as follows:(1)The complexity of the chicken farm environment will bring trouble to the layout of the wireless sensor network.In practical applications,it is easy to have problems of which the wireless sensor network is incomplete covered because of unreasonable layout or had too many nodes.To solve this problem,this paper studies the theoretical model of the relationship between the received signal intensity and the transmission distance,and uses the Delphi method to determine the constraint conditions of the chicken farm environment,On this basis,by combining the advantages of ZigBee star network topology and cellular grid layout to adjust the layout of ZigBee nodes in the chicken farm,it can make the network not only cover the whole chicken farm,but also reduce the number of nodes.The relationship between the intensity of thetransmitted signal and the node height,voltage in the actual chicken farm is measured,then the transmission range can be obtained when the signal intensity is stable.Based on the cellular grid layout’s theory and the actual chicken farm area,the number of nodes needed in the whole chicken farm and the theoretical distance between nodes can be calculated,the experimental results show that the actual distance is consistent with the theoretical distance,thus the layout method is feasible in a chicken farm.(2)It usually uses automatically regulated cold air blower and dehumidifier based on the data collected by the sensor to control the temperature and humidity in traditional chicken farm.In the ZigBee network,the sensor nodes will also be unreliable due to battery power supply and human interference.Therefore,if the sensor data is not filtered out,it will seriously affect the temperature and humidity control.In this paper,the data fusion method is used to judge the data of temperature and humidity,and then the node of the data distortion is identified.Thus the temperature of a chicken farm can be regulated by the actual temperature and humidity.The data fusion method mainly includes the data distortion judgment and real data fusion,the data distortion criterion mainly include Lyite criterion,Grubbs criterion,etc.This paper compares the accuracy of the two criterions through experiments,experiments show that in the farm environment,the Grubbs criterion is better than Lyite criterion in eliminating the error.The data obtained from Grubbs criterion and weighted fusion idea will be closer to the real data.There are two functions in controlling temperature and humidity,one is to send the massage of the node data distortion to the user,and the other one is to control the temperature and humidity.The study of temperature and humidity control will provide effective help to monitor the temperature and humidity of chicken farm.(3)In the traditional monitoring system,user can not understand the spatial position of control equipment and the actual installation of sensor nodes intuitively,so that once the fault occurs,user will be unable to locate the fault node quickly,which affecting the system maintenance efficiency and recovery rate.To solve this problem,this paper studies a 3D visual interaction method for perception network.The method allows user monitor the page in the 3D visual scene without entering the chicken farm,and finding out the corresponding location of each node in the actual chicken farm.If any nodes in the chicken farm have problem,The user can locate thesenodes in the first place and avoid the low maintenance efficiency of the monitoring equipment because of finding the node position for a long time.