Design And Implementation Of Real-time Monitoring And Remote Control Platform For Greenhouse Environment

In recent years,China has invested a lot of money to encourage the development of facilities agriculture,making the rapid development of facilities agriculture,expanding the area and scale.At the same time,with the development of new forms of"Internet+traditional industries",the use of Internet technology,intelligent control technology and wireless monitoring technology has also become a new trend in greenhouse production.The use of wireless sensors to build an environment monitoring network,combined with control algorithms for precise adjustment,has not only been used extensively in foreign countries,but many domestic expert teams have also been cultivating it here,and will be the main direction for future research.This article aims to use the wireless sensor network,combined with the Internet technology,to design and implement a set of real-time monitoring and remote control of greenhouse control systems.The system includes multi-source sensing nodes for environmental parameters,remote management and control platforms,and wireless data transmission networks.The main research contents and results of this article were as follows:Designed and implemented the greenhouse production environment parameters collection node,mainly collecting environmental parameters which have a greater impact on crop production,such as air temperature and humidity,light intensity,CO₂ concentration,soil temperature and humidity.By using sensors and other related technologies,a multi-source sensing node has been developed for environmental parameters base on large-scale planting environments.The device realized real-time detection of greenhouse environmental information with the characteristics of low cost and easy use.Using ZigBee technology,a multi-source sensing node network model of environmental parameters was implemented,and a greenhouse environmental parameter monitoring system suitable for large-scale greenhouses or clusters was constructed.And use GPRS DTU to achieve the ZigBee to TCP/IP protocol conversion,the data was transmitted to the control platform.The fuzzy PID algorithm was used in the greenhouse environment control.Fuzzy PID control,conventional PID control and fuzzy control were compared to simulate the control efficiency by MATLAB.From the result of step response,fuzzy PID control overshoot was smaller than traditional PID control,and fuzzy control did not exist overshoot.Although there was no overshoot in the fuzzy control and the control process was smoother,the response speed was slower.And enlarged the simulation result to see that the fuzzy control had a static difference.Fuzzy PID control compared to traditional PID control and fuzzy control,could quickly and accurately adjust the corresponding parameters to the set threshold,and the overshoot was also small.In addition,it could be seen that the fuzzy PID control has strong anti-interference ability by adding the interference amount.Based on the status quo of the current greenhouse planting scale,this paper understood and analyzed the needs of different greenhouse companies and user groups,and combined with technologies such as ASP.NET,JavaScript,JQuery,and SQLServer databases,a set of remote management and control platforms was developed.The data collected by the multi-source parameter sensing equipment in the greenhouse environment was transmitted to the platform through the wireless network,and the platform analyzed,stored,and displayed the uploaded environmental data.In addition,registration,log-in,and control of environmental parameters for companies,farms,sheds,and sheds were realized;and management of user groups at different levels was achieved.The system has been tested in the greenhouse of the Northeast Agricultural University.Through the analysis of air temperature,humidity,and CO₂ concentration control results,it can be demonstrated that the system could achieve the regulation of the greenhouse's internal environment.In the control process,the response speed was fast and the overshoot was small,achieved the system design goal.