Design Of Remote Monitoring System For Farmland Drip Irrigation Based On Internet Of Things

With the rapid development of information technology and the rise of the Internet of things,experts and scholars use computer technology and control algorithm to improve the efficiency of agricultural irrigation,aiming at the problems of backward agricultural irrigation control level,operation and management relying on experience,and low level of network.Based on farmland planting environment complex control,cable installation and maintenance difficulties,problems such as wasting irrigation water,using the Internet of things technology,research and development of farmland irrigation remote monitoring system based on solar power,make its basis for farmland planting environment information of farmland water-saving irrigation task,through the analysis of the farmland environment,control field,electromagnetic valve,start-stop always keep the farmland planting environment is conducive to crop growth status,promote crop production income,realizes the intelligent precision agriculture,the main research content is as follows:Firstly,the system design of this paper is mainly composed of two parts: hardware design and software design.The hardware design mainly includes sensing node of sensing layer,hardware design of sink node,and hardware selection of network layer and application layer.The software design of part of the sensing layer is mainly designed for sensing node and sink node,which realizes the real-time monitoring of farmland environment information and remote control of electromagnetic valve.The network layer software design mainly realizes automatic uploading,storage of crop growth environment information and establishment of crop growth database.Application layer software design is mainly designed for the user’s mobile terminal software,which can achieve the user to obtain field monitoring data and control agricultural facilities in the field.Second drip irrigation for solar energy power monitoring and control system is not stable,study design tasks and power management system optimization model,put forward a kind of long-term perception solar energy prediction algorithm based on reinforcement learning,based on the weather(WCMA)prediction algorithm and improved energy based on state-action-the value of the temporal difference learning(SARSA)adaptive algorithm implementation energy management.The Matlab/Simulink simulation platform was designed and built to model and simulate the optimized drip irrigation monitoring system and verify the feasibility of the algorithm.The simulation results show that this algorithm can improve the energy efficiency by about 20% compared with the adaptive algorithm using historical data prediction,and maintain the residual battery power at about 60% to ensure the stable operation of the system.Finally,the test platform of remote monitoring system for drip irrigation was designed and built,and the debugging and testing of Android client and server were carried out on the test platform.In xinjiang production and construction corps sixth division 111 regiment 2,system function and optimization test,mainly includes the field environment information collection,electromagnetic valve start-stop control,network communication quality and overall system functionality and drip irrigation monitoring node lifetime and a series of test,the results showed that irrigation and drip irrigation control system design is reasonable,the normal work of the various functions,in the field to monitor timely and accurate feedback of environmental information and the field equipment status,the communication network is stable,can ensure the quality of the data transmission of the field.The optimization scheme is feasible to meet the modern management needs of drip irrigation in farmland.