Research On Intelligent Water-saving Irrigation System Based On Rainfall Forecast In Dry Depth Time Domain

Based on the lack of water resources and the current situation of farmland irrigation research in China,this paper proposes a dry depth time domain intelligent water-saving irrigation system based on rainfall forecast,which realizes the real-time dynamic monitoring of farmland environmental parameters,the independent decision-making irrigation according to weather forecast and soil moisture,and the storage and query of farmland environmental data.It is very important to improve the utilization rate of water resources in China Make sense.The main research contents are as follows:In this paper,taking tomato planting as an example,a sensor node composed of sensors and wireless communication modules is designed to send farmland environmental information to the centralized control center remotely,which breaks through the regional restrictions and facilitates farmers to view farmland soil moisture information.The central control center takes LabVIEW as the software development platform,designs real-time monitoring through producer / consumer mode,realizes the multithreaded application of TCP monitoring port;realizes the Ethernet connection between LabVIEW and PLC through the configuration of Ni OPC server;sets ODBC data source,and uses LabVIEW and database SQL server through labsql toolkit In 2008,data storage and query are realized;the local weather forecast on the web page is introduced into the intelligent irrigation control system to reduce the waste of water resources caused by rainfall and achieve the purpose of saving water resources.The water requirement of tomato was analyzed to determine the optimal soil humidity in each growth stage and the extended irrigation time in the dry and deep time domain.Considering whether there is rain in three days,the conventional fuzzy controller and the rainfall fuzzy controller were designed through the LabVIEW fuzzy logic toolkit,and the design steps of the fuzzy controller were introduced in detail,and the intelligent irrigation program was completed.Based on the rainfall forecast,the dry depth time domain intelligent water-saving irrigation system test platform is built,and the control system is tested.The system test results show that: the data output result is accurate,GPRS transmission is reliable,the system hardware is working normally,the data storage and query are normal,and the weather forecast information is reliable;the system can independently drive the solenoid valve to complete intelligent irrigation according to the water demand of tomato and weather forecast information,or manually implement irrigation.