Intelligent Measurement And Control System Of Tomato Growth Environment In Greenhouse Based On Internet Of Things

As a daily vegetable,tomato is in increasing demand.The production of tomato in China is mainly in solar greenhouse.But for a long time,China’s solar greenhouse tomato cultivation is mainly artificial management,the management mode has the features with a lot of labor intensity,low labor efficiency,the management level differs a lot and other prominent problems.In recent years,the intelligent greenhouse system in China has solved the disadvantages of artificial management to a certain extent and provided technical support for the automatic regulation and control of the growing environment of greenhouse tomato.However,the current environmental automatic control system is mostly based on the linkage greenhouse design,and there are still many outstanding problems in the system’s universality,control accuracy,simplicity and ease of use,reliability and other aspects.In view of the current outstanding problems,it is proposed to develop a practical and reliable intelligent measurement and control system for the growth environment of greenhouse tomato through the construction of the control model and the optimization design of the control system.Based on the research of tomato growing environment and the patterns of water and fertilizer demand in solar greenhouse,the intelligent measurement and control system of tomato growing environment in solar greenhouse was developed by using the Internet of things,NB-IoT and other key technologies.The system realizes the real-time acquisition of greenhouse tomato growth environment data,and through the greenhouse tomato control model research,realizes the real-time information monitoring of greenhouse tomato,the optimal growth environment regulation and the remote supervision of greenhouse tomato growth.The specific research contents are as follows:(1)After the systematic analysis of greenhouse automatic control model and algorithm,this paper introduces the radial basis neural network to achieve the adaptive adjustment of PID algorithm parameters.Combined with the growth characteristics of greenhouse tomatoes in different growth periods and the weather and other external environmental factors,an intelligent control model of the growth environment of greenhouse tomatoes was designed,which laid a foundation for further precise control of the greenhouse.(2)By analyzing the growth demand of tomato in solar greenhouse,the intelligent measurement and control system for the growth environment of tomato in solar greenhouse was developed by using the thorough perception,reliable transmission and intelligent control technology of Internet of things.The system realizes the real-time monitoring function of the tomato growing environment of the solar greenhouse and the intelligent regulation function based on the best growing conditions,which lays the foundation for the realization of remote supervision of the greenhouse.(3)In order to achieve the purpose of real-time and remote supervision of tomato growing environment in solar greenhouse,according to the communication mode of NBIoT module,the upper computer of UDP protocol is developed by using MFC,and the upper computer system is designed.Users can realize remote monitoring and regulation of real-time information of greenhouse tomato growth environment through mobile APP.The experimental results show that the developed intelligent measurement and control system of tomato greenhouse has high stability and reliability,significantly reduces labor cost,significantly saves fertilizer and water,and increases tomato yield by 9.72%.The system has strong practicability and application value.