Design Of Intelligent Irrigation System Based On Internet Of Things Technology In Blueberry Garden

In the process of blueberry growth,water supply affects the yield and quality of blueberries directly.However,traditional crop irrigation mostly uses artificial timed observation for irrigation decision-making,or short-distance wireless collection of soil moisture for automatic irrigation.There are problems such as low efficiency and high labor intensity,which cannot meet the needs of large-scale planting.This paper based on the Internet of Things technology,Penman principle,BP neural network and soil water balance principle,designed a blueberry garden intelligent irrigation system.The system consists of an information acquisition module,a wireless transmission module,an intelligent decision module and an irrigation execution module.The information collection module mainly includes soil moisture sensors,a weather station and controller,which can collect soil moisture,temperature,humidity,rainfall,wind speed and sunshine duration in real time;wireless transmission module mainly includes gateway controller,433 M wireless data transmission radio and 4G DTU module.The gateway controller aggregates data through 433 M wireless data transmission station and then completes data transmission through 4G DTU and host computer service connection.The intelligent decision-making module mainly includes irrigation decision-making and irrigation forecasting model,which can realize the calculation and forecast of irrigation amount;the irrigation execution module mainly completes the receiving and analyzing of the upper computer command and the control of the electromagnetic valve through Siemens S7-200 PLC,and performs irrigation.The specific work of this paper is as follows:(1)System scheme design: mainly includes system overall scheme design,sensor layout scheme design and wireless transmission scheme design.The research on sensor layout scheme is determined by studying the water dynamics of different depths of blueberry roots and soil,through mainstream wireless The transmission technology is compared.It is finally determined that the 433 M communication technology is used for star network to complete short-range wireless transmission,and4 G technology for long-distance transmission.(2)System hardware selection design mainly selects and designs systeminformation acquisition module,wireless transmission module and irrigation execution module,completes controller selection design,soil moisture sensor selection,weather station selection,433 M radio station,4G DTU,solenoid valve and flow meter selection.(3)Based on the blueberry water requirement law,Penman formula,BP neural network,meteorological forecast and soil water balance formula to calculate and predict the transpiration amount,complete the irrigation decision and irrigation forecast model,and simulate the prediction model through Matlab.The test shows that the irrigation decision is accurate and the prediction result is reliable.(4)The system software design mainly includes the PC software design of the host computer,the software design of the lower computer controller and the software design of the Android client.The software is developed based on the Visual Studio platform and C# language and adopts the C/S architecture.The controller mainly includes Keil software for software design of MCU and Step7 software for software design of Siemens PLC;the Android client platform is used for functional design.The results show that the system can collect and store soil moisture data and meteorological data in real time,display irrigation decisions and forecast results,and remotely control irrigation equipment.(5)The performance test and overall operation test of the system were carried out at the blueberry planting base.The results show that the system is stable in operation,strong in real-time,friendly in human-computer interaction interface,reliable in irrigation decision-making and irrigation prediction,and can meet the needs of large-scale blueberry planting.