Design And Implementation Of Intelligent Irrigation Scheduling System Based On Internet Of Things

With the transfer of rural land,the land began to operate on a large scale,and scattered land began to be concentrated to form a large area of connected field,and large-scale translational sprinkler irrigation machines were introduced for irrigation.Due to the huge cost of single irrigation,the demand for water-saving irrigation is very urgent.Based on the above background,this thesis designs and implements an Intelligent irrigation scheduling system based on Internet of things technology.Based on Spring MVC and Spring Boot technology,the system implements soil moisture monitoring and drought warning based on soil moisture sensors,intelligent decisionmaking for irrigation based on water balance equation model and empirical irrigation model,automatic generation of sprinkler scheduling plan,and finally sprinkler irrigation machine Perform sprinkler irrigation according to the plan.The main contents and achievements of this thesis are as follows:(1)Investigate the water balance equation scheduling model and the planting expert experience scheduling model;Study the technical principle of the soil moisture sensor and the relationship between its measured data and the field water holding capacity,the optimal water content for crop growth;the water control mechanism of the translation sprinkler and the corresponding relationship between the irrigation volume and the control volume.(2)According to the requirements of water-saving sprinkler irrigation,the objectoriented analysis of intelligent sprinkler irrigation scheduling system is carried out,and the use case model and domain object model are established.(3)The object-oriented design of the system is carried out,using service-oriented architecture method to design the system architecture,drawing the system architecture and system deployment architecture;database design adopts Power Designer to compile PDM physical data model.Analyze the difficulties of network communication in the field environment,and plan to adopt a combination of 4G and bridge technology to solve network communication problems.(4)Detailed design and implementation of sprinkler irrigation intelligent scheduling and moisture monitoring functions.Based on the planting expert experience scheduling model,the calculation of sprinkler irrigation volume and automatic generation of scheduling plans based on crop water demand,soil type,soil moisture,weather forecast and other data are implemented;Based on the water balance equation,the calculation of the sprinkler irrigation volume and the automatic generation of the scheduling plan based on the Penman formula and the upper limit the optimal water content for crop are implemented.The system designed and implemented in this thesis realizes the timely monitoring of soil moisture,intelligent decision-making for irrigation,automatic generation of scheduling plans and automatic execution of sprinkler irrigation operations,which provides a reference for realizing precise irrigation of food crops,and has certain practical significance.