| As a large agricultural country,China’s farmland coverage is large,and farmland irrigation is an important part of agricultural development,but the current shortage of water resources has hindered the development of China’s agriculture.Traditional farmland irrigation is mostly artificial irrigation,which not only increases the burden on farmers,but also causes huge waste of water resources.In recent years,with the introduction of relevant national policies,technologies such as Internet of Things,big data,and intelligent control have become more and more widely used in agriculture.This thesis combines the widely used ZigBee and GPRS technologies in the Internet of Things industry,and uses the irrigation prediction model and irrigation decision model,this thesis designs an intelligent irrigation management system based on the Internet of Things.The main research contents of this thesis are divided into three parts: Collection and transmission of irrigation system data,development of irrigation management platform and design of irrigation decision-making part.1)Collection and transmission of irrigation system data are achieved through the terminal monitoring node and the wireless gateway node.The terminal monitoring node is used to monitor the environmental information of the farmland in real time,and control the opening and closing of the solenoid valve,the part mainly completes the software and hardware design of the ZigBee terminal monitoring module,the sensor module,the solenoid valve control module,the power amplifying circuit and the power module;after analyzing and fusing the data sent by terminal monitoring node,the wireless gateway node transmits the data to the host computer by GPRS network,this part mainly completes the software and hardware design of microprocessor,ZigBee coordinator module,GPRS module 2)Intelligent management platform mainly completes the design of database and interactive interface.The database uses SQL server data management software to complete the management of farmland information,meteorological information,irrigation decision information and staff information;the design of the interactive interface uses the Visual Studio development environment to achieve the designed functions.3)The irrigation decision-making part uses the water balance equation to obtain the irrigation time interval,it comprehensively considers the recent meteorological changes,soil moisture changes and other environmental factors to carry out irrigation at the optimum time,saving water while playing the role of irrigation forecasting.The irrigation quantity is calculated by the established mathematical model to provide decision-making basis for the staff.The design of intelligent irrigation management system based on Internet of Things in this thesis combines ZigBee and GPRS technology,it can not only realize short-distance and low-power wireless communication of farmland environmental information,but also realize remote monitoring with wide coverage and high communication quality through GPRS technology.At the same time,the irrigation prediction module and irrigation decision module of irrigation management system cooperate with each other,which improves the accuracy and adaptability of intelligent irrigation.By testing the hardware and software of the system,all parts of the system can achieve the expected functions.It improves the intellectualization of farmland irrigation and saves water resources.It has a certain practical reference significance for high-standard farmland construction.Figure 47,table 9,and 65 references. |