Design And Implementation Of Intelligent Hydroponic Lettuce Measurement And Control System Based On Internet Of Things

With the continuous development of modern information technology,intelligent agriculture has become the main trend of modern agricultural development.In the face of the constraints currently faced by the development of traditional vegetable cultivation,such as the depletion of land and the poor geographical environment in remote areas,the research of hydroponic vegetables has become an important research direction in the development of modern agriculture.Hydroponic vegetable refers to the production of vegetables by directly contacting plant roots with nutrient solution.In addition to adjusting factors such as temperature,humidity and light,the configuration and management of nutrient solution is also a key technology in hydroponic technology.In the process of planting and managing hydroponic crops,it is necessary to observe and adjust in time according to the actual growth of the crops.This leads to the need to use a large amount of labor costs and certain requirements for the level of operators.These problems lead to the implementation in China.This technology has great obstacles.Therefore,in order to solve these problems,this thesis applies the Internet of Things(IoT)technology to the production process of hydroponic vegetables,and designs and designs a smart hydroponic lettuce measurement and control system based on the Internet of Things.This thesis adopts the three-layer architecture development model of IoT,and designs and implements the system from three aspects: perception layer,transport layer and application layer.The user uses the mobile client to remotely monitor the environmental parameters of the hydroponic cultivation process,and can remotely control the operation of the field device and the nutrient solution.The system can intelligently predict the growth of hydroponic lettuce.The main work done in this thesis is as follows:(1)In view of the complicated nutrient solution preparation during the growth of hydroponic lettuce,this thesis designed the nutrient solution automatic mixing equipment and calculated the calculation method of the nutrient solution addition process based on the experimental data.Realize the automatic deployment of nutrient solution during the growth of hydroponic lettuce.(2)The design and implements the intelligent prediction module.According to the historical data of nutrient solution conductivity(EC)of hydroponic lettuce,the gradation prediction model is used to analyze the data in the unit,and then the data in the whole cycle is analyzed and analyzed,and the regularity chart of the growth cycle of the hydroponic lettuce is drawn.The change of nutrient solution predicts the growth status of hydroponic lettuce;(3)Complete the system development from the three aspects of sensing layer,transport layer and application layer.The Hanfeng LPB100 module is used to realize the uploading and command receiving of the sensing layer data,and the interactionbetween the user and the scene is realized by using the Android client.(4)Finally,the system was installed and tested in the Jiangsu Kemao Greenhouse Laboratory.The functional modules were stable and met the project requirements.