| Tomato greenhouse cultivation is a high yield and efficient agricultural production mode,and is also an important form of tomato cultivation in northern China.Its advantage lies in the controllable internal environment and is not affected by seasonal effects.The tuyere control plays an important role in environmental regulation of solar greenhouse.The results showed that there were the following problems in the ventilation of greenhouse : The layout of greenhouse perception nodes is not scientific,and the collected data is difficult to accurately express the greenhouse environmental change level;Most of the intelligent control models studied in the field of tuyere control in greenhouse have poor adaptability and are only suitable for experimental greenhouse;The greenhouse tuyere measurement and control system has poor reliability,high cost problems,is not suitable for actual production.Therefore,in order to design a scientific,simple,convenient and reliable intelligent measurement and control system of greenhouse tuyere of greenhouse tomato,this study carried out the sensor layout of greenhouse tomato,tuyere parameter regulation and intelligent measurement and control system of greenhouse tomato.The main research contents are as follows:(1)Study and analysis of the location of the tomato greenhouse sensorIn order to study a simple and easy to use regulation model of greenhouse tuyere applicable to actual production,the temperature change in this study was based on the outdoor maximum temperature of the day,the indoor maximum temperature of the day,the outdoor minimum temperature of the next morning,the indoor minimum temperature of the next morning,the outdoor minimum temperature of the day,and the indoor minimum temperature of the day.Multiple regression model was established to predict the basic temperature when the tuyere was opened/closed,and the switching time of the tuyere was determined and the expected temperature was output.At the same time,based on the indoor and outdoor environmental factors and the expected temperature as the target,the greenhouse temperature prediction model was established to adjust the size of the greenhouse tuyere opening in real time.In this experiment,the precise monitoring of tomato greenhouse was realized,and the scientific sensor arrangement method was analyzed,which laid a foundation for the research on the regulation parameters of greenhouse tuyere.(2)Study on regulating parameters of greenhouse tuyereIn order to research a simple and practical control model of greenhouse,on the basis of predecessors’ research results in the laboratory,this study on the highest temperature,the indoor temperature,outdoor temperature,the lowest in the morning the next day morning lowest indoor temperature,outdoor temperature,the lowest in the morning on the day of the indoor lowest temperature in the morning on the basis of the multivariate regression model was established,The basic temperature of opening/closing of the tuyere was predicted,and the switching time of the tuyere was determined and the desired temperature was output.At the same time,based on the indoor and outdoor environmental factors and the expected temperature as the target,the greenhouse temperature prediction model was established to adjust the size of the greenhouse tuyere opening in real time.The results showed that the tuyere regulation model effectively increased the minimum temperature in the early morning and reduced the maximum temperature in the greenhouse,which made the daily temperature change more suitable for tomato growth,and ensured that the temperature difference between day and night met the normal growth standard of tomato.(3)The realization of tomato greenhouse tuyere intelligent measurement and control systemIn order to solve the problem of tomato in greenhouse facilities tuyere problem of high cost,lower reliability of control system,the experiment on the basis of the "Internet of things six domain model" developed suitable for solar production facilities of greenhouse tomato greenhouse intelligent measurement and control system,combined with the accurate monitoring technology and intelligent control model to realize the intelligent measurement and control of greenhouse tuyere,At the same time,the monitoring system of the lower computer,the control system of the lower computer,the software of the upper computer and the mobile terminal of the mobile phone APP are designed,and the application of the greenhouse tuyere regulation model is realized by nesting Python with the upper computer.The experimental results show that the system runs stably and reliably,and can create a more suitable environment for tomato growth in greenhouse,significantly reduce labor intensity and labor cost,and provide support for tomato industry digitization. |