Design And Implementation Of Tomato Planting Greenhouse Environment Optimization Control System

In order to meet the current intelligent needs of facility farms in northern Anhui,starting from the current situation and future development needs of greenhouses,the actual situation of Tomato Valley Farm of Anhui Wada Modern Agricultural Technology Co.,Ltd.was selected as the main research object.Through in-depth study of the current agricultural Internet of Things technology,cloud platform technology,particle swarm optimization algorithm,fuzzy PID control,etc.,a tomato planting greenhouse environment optimization control system was designed,and combined with intelligent control algorithm.The intelligent,networked and precise environmental control of greenhouse was realized,and the benefit of agricultural production in greenhouse was improved.The main work is introduced as follows:(1)Theoretical analysis of tomato planting greenhouse environment optimization control system.Build the overall framework of environmental tuning control system.Summarize the environmental factors affecting the growth and development of crops,and point out the environmental conditions required for tomato growth and metabolism.The NB-IOT IoT technology suitable for environmental tuning control system is selected,and its principle,core network architecture,transmission mode and network communication protocol are discussed.Analyze the heat balance model of greenhouses and create a temperature control model for the tuning control system.(2)Research on control strategy of tomato planting greenhouse environment optimization control system.Combined with the environmental control model of the optimization control system,the control strategy of tomato planting greenhouse environment optimization was studied and formulated.The PID controller and fuzzy control were designed,and the two were combined into fuzzy PID control.At the same time,the particle swarm optimization algorithm is introduced into the PID controller.Through simulation and comparison of fuzzy PID control,its superiority in response speed,overshoot and control effect is verified,which can meet the needs of agricultural production in greenhouses and has practical feasibility.(3)Hardware and software design of tomato planting greenhouse environment optimization control system.In the hardware design of the system,the power module,main control module,NB-IoT module,display module,environment acquisition module and environment control module are designed and configured.In the system software design,the NB-IoT module is connected to the network and the wireless transmission of data is configured to ensure that the data can be transmitted safely and stably.The communication process between the IoT module and the Alibaba Cloud IoT platform is discussed.The design and environmental control of the cloud platform and the mobile terminal are introduced and displayed.(4)Test and analysis of tomato planting greenhouse environment optimization control system.The functions of NB-IoT communication module are tested by serial port debugging tool.The sensor performance of the environmental optimization control system was verified by comparative verification experiments.The experimental results confirmed that the accuracy and sensitivity of the data information collection of the system can meet the actual needs of tomato greenhouses.