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Design Of Water And Fertilizer Integrated Monitoring System Based On Internet Of Things Technology

Posted on:2024-06-04Degree:MasterType:Thesis
Country:ChinaCandidate:X LiFull Text:PDF
GTID:2543307106463024Subject:Agricultural Engineering
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Traditional farmland irrigation and fertilization technology cannot fully consider the needs of the modern agricultural production process.With the development of Internet of Things technology,combining it with water and fertilizer integration technology is an essential means to realize agrarian modernization.This thesis takes the Internet of Things technology and the integrated technology of water and fertilizer as the research entry point and designs the integrated monitoring system based on the Internet of Things technology.The main research contents are as follows:(1)Overall scheme design of water and fertilizer integrated system.The incorporated water and fertilizer system is designed according to the hierarchical structure of data acquisition,data transmission,informed decision,and application control in the technology perception layer,network layer,and application layer of the Internet of Things and combined with the functional requirements and performance requirements of the system.(2)Irrigation control model based on compound controller.Firstly,the prediction algorithm and crop coefficient were used to build the model of rainfall and crop transpiration,and the mean relative error of the prediction results was less than 5%.Secondly,combining the predicted climate factors with the collected soil moisture,the irrigation volume decision model and control model are constructed based on the fuzzy algorithm,sliding mode controller and fault jammer,and the intelligent irrigation control is realized.The control accuracy and stability of the controller are better than that of the traditional PID(Proportion Integration Differentiation)controller,and the error convergence can be realized quickly.(3)Fertilization control model design based on particle swarm optimization fuzzy PID control.With EC(Electrical Conductivity)value of water and fertilizer solution as evaluation index,fertilization control model was constructed based on particle swarm optimization algorithm and fuzzy PID control method to realize intelligent water and fertilizer solution concentration control.Its control performance was significantly improved compared with fuzzy PID control and PID controller,and the mean stability time was shortened by 20.38 s and 62.48 s.And in 4~5 minutes to achieve the set value of water and fertilizer solution configuration,to achieve efficient and stable real-time control.(4)Development of integrated system of water and fertilizer.Firstly,the key components of the integrated system were selected and matched according to the requirements of irrigation and fertilization control.Secondly,according to the actual irrigation needs,the integrated water and fertilizer software system based on Java language is designed.The system includes software modules such as information display page,user management,irrigation and fertilization control,etc.,to realize remote data monitoring,farmland management and integrated control of water and fertilizer.Finally,the field experiment results showed that the soil moisture remained 19%~25% after precision irrigation,which was suitable for crop growth.The error between the EC value of the water and fertilizer solution configured was ±0.016,and the system platform operated stably.
Keywords/Search Tags:Internet of Things, Integration of water and fertilizer, Irrigation control model, Fertilization control model, Web cloud platform
PDF Full Text Request
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