| Strawberry is a crop with nutritional value,medical value and ecological value.With the rapid development of smart agriculture,greenhouse production without seasonal restrictions has gradually replaced traditional open-air cultivation.Environmental and water fertilization factors are the key challenges that restrict greenhouse cultivation.Intelligent control technology and water and fertilizer integration technology are effective solutions to regulate greenhouse environmental factors and solve the problems of high energy consumption and serious environmental pollution.However,there are still technical problems of poor precision of control methods and insufficient flexibility of agronomic equipment.Based on this,the key technology research of fuzzy control system and waterfertilizer integration for strawberry environment in solar greenhouse was carried out.The variables related to solar radiation prediction were studied,and a solar radiation prediction model was established.The sunlight greenhouse energy transfer law was analyzed,and an environmental prediction model was established.The crop environment and water and fertilizer demand laws were studied,and a fuzzy control system was constructed.The law of fertilizer dissolution and water-fertilizer integration system were studied,and the fertilizer grinding and water-fertilizer mixing equipment were designed.The laws of intelligent agriculture control were studied,and a remote monitoring platform was developed.The specific research contents are as follows:(1)The problems and technical bottlenecks of traditional agricultural technologies are analyzed,the academic progress of research related to solar radiation prediction model technology,greenhouse control technology and water-fertilizer integration technology is analyzed,and the research contents and technical lines are determined.(2)A solar radiation-based environmental prediction model for solar greenhouses was established.Solar radiation related indicators were analyzed and data samples were established.The optimal input combinations of relevant variables were analyzed,and a BP neural network solar radiation model optimized by genetic algorithm was established to predict solar radiation in different regions,and the accuracy of the model was verified.The solar radiation absorption,convective heat exchange,heat conduction and latent heat transfer laws of solar greenhouse were analyzed,and a solar greenhouse environmental prediction model was established.(3)A numerical CFD model of the solar greenhouse was established,its temperature and humidity fields were analyzed,a solar greenhouse environment control system was designed,and a temperature and humidity control experimental platform was built.The influence of the construction materials and systems of the solar greenhouse on the environment was analyzed,and the environmental control equipment was determined.A CFD numerical model was established to analyze the temperature and humidity fields of the greenhouse and optimize the sensor acquisition positions.Based on the PID fuzzy control theory,the solar greenhouse environment regulation system was designed by combining the temperature and humidity requirements of crops at different growth stages.A set of environmental control system simulator with 51 microcontroller as the core was designed,and PID control and PID fuzzy control system were designed,for which temperature and humidity thresholds were set to achieve realtime monitoring of temperature and humidity in the environment as well as set value control.The experimental results show that the PID fuzzy control system has small overshoot,less time consuming,better stability and better than single PID control.(4)The water-fertilizer integration precision supply equipment was designed,and its key technology and control system were studied.The water and fertilizer laws of different growth stages of crops were analyzed.The law of screw pitch change,the law of solid fertilizer dissolution and the law of water-fertilizer mixing and dissolution speed were analyzed.The precise material dosage device,fertilizer grinding device and water-fertilizer mixing device were designed.Combined with the suitable water and fertilizer solution for strawberry,a PID fuzzy control system was developed to control and analyze the EC value and PH value for interference determination.(5)Designed the solar greenhouse strawberry control decision and remote monitoring platform.The greenhouse control law was analyzed and the daylight greenhouse strawberry control decision was designed.Based on Spring Boot back-end,Vue and Lay UI front-end and building information database,we design a remote monitoring platform for information management of strawberry cultivation in daylight greenhouse,and realize real-time remote monitoring and decision making. |
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