Research On Irrigation System Based On Intelligent Control Technology

China is a large agricultural country.The demand for water resources in agricultural development is growing.The agricultural irrigation water accounts for 63% of the national water resources.The water resources in China are unevenly distributed and extremely scarce.The per capita water resources are only a quarter of the world irrigation average.Traditional ways of irrigation cause great waste of water resources.It is imperative to research and promote efficient intelligent irrigation technology.The National Agricultural Sustainable Development Plan(2015-2030)clearly indicates that irrigation technology should be vigorously promoted and plans to develop 288 million mu of highly efficient irrigation by 2020.Based on the intelligent control technology,this paper designs an irrigation control system.The system can realize precise irrigation according to the water demand of different crops in different growth stages,and greatly save water resources on the premise of meeting needs of crop growth.The irrigation control system mainly includes the software and hardware design of the irrigation control terminal,WEB page and client design.The irrigation control terminal includes a main control module,an environmental factor acquisition module,a data storage module,a wireless communication module,an execution module,and a human-machine interaction handheld device.In order to meet the demand,the system has designed three modes: manual irrigation,remote irrigation and automatic irrigation.The manual mode is used for irrigation through the buttons of the irrigation control terminal panel or the human-machine interaction handheld device;the remote mode can remotely view the field environment through the WEB page and the client,and realize remote control irrigation;the automatic mode utilizes intelligent control technology to realize irrigation according to different crops in different stages of growth.The irrigation terminal is designed with a WIFI interface to achieve full coverage of the wireless network when the system is networked.The system accurately senses soil moisture information,light intensity,air temperature and humidity through the environmental factor acquisition module sensor,saves the collected data to the storage module,and sends it to the central station server through wireless WIFI to communicate remotely with the client.In order to achieve efficient and intelligent irrigation,this paper constructs an intelligent irrigation control model.the extreme learning machine was optimized by using particle swarm algorithm,and the activation function of the traditional extreme learning machine is improved.The improved PSO-SELM algorithm is used to predict the evapotranspiration of crops.The planting time was used as the input of the first-level fuzzy control to output the optimal soil moisture content in the current growth stage of the crop,and then the deviation between the sensor-soiled soil moisture content and the current soil moisture content and the evapotranspiration were used as the second-order blur.The input of the control,using fuzzy control techniques to calculate the amount of irrigation required for the crop at the current growth stage.The evapotranspiration and irrigation rates were simulated by MATLAB.The system was installed and tested in the greenhouse of Yangling Professional Farmers Innovation and Innovation Park.The test and practical application results show that the functions of each module of the system are normal,saving human resources while saving water resources.At the same time,the system products won the first prize in the“Thirteenth Graduate Electronic Design Competition Northwest Division”,and the third prize in the “ National Finals of The Thirteenth Graduate Electronic Design Competition ”.This paper contains 83 pictures,18 tables,and 58 references.