Greenhouse Remote Environment Monitoring System Based On IoT

In recent years,with the development of science and technology,the level of agricultural automation in China has been continuously improved.Informationized agriculture has been increasingly valued by national policies and the society.In the process of agriculture modernization,facility agriculture plays an extremely important role.Facility agriculture is a modern agricultural method that uses engineering techniques intervening in the growing environment of animals and plants to achieve efficient production.With the intensive study and energetically promotion of more and more scientists,facility agriculture has achieved leap-forward development.In view of the above background,this paper carried out research and design work on remote environment monitoring system for greenhouses which based on the Internet of things.The system is divided into three parts: greenhouse environmental monitoring terminal subsystem,ZigBee wireless sensor network and backstage service center.The main achievements of this paper are as follows.(1)Designed a hardware system which based on the greenhouse environment monitoring terminal subsystem.The hardware includes the environmental sensor and the data collector.They are connected by wireless and wired combination.Environmental sensors continuously collect and transmit environmental information at all monitoring points to data collectors.The data collector preprocesses the data and displays it on the LCD screen.At the same time,it sends it to the wireless sensor network through the ZigBee module.The data acquisition device also expands the multi-channel data channel to meet the requirements of simultaneous environmental parameter collection for multiple monitoring points in the greenhouse.(2)In terms of system software,the database,the lower computer software and the upper computer interface are designed.The upper computer interface includes the design of data collector(mobile terminal)and background service center(PC terminal).The Linux operating system is transplanted to the data collector,which lays a foundation for the system environment and improves the stability of the greenhouse terminal.(3)On acount of the lag of temperature control in greenhouse,this paper also proposes a temperature prediction model based on PCA_PSO_SVM combined algorithm.The modeltakes into account the comprehensive effect of the coupling of environmental factors on temperature change in greenhouse.In the experiment,PCA was used to select the main factors affecting the greenhouse temperature change,and then the main factors were input into the PSO_SVM model.Then PSO was used to optimize the parameters of the model,and finally the best prediction model was obtained.Experiments show that the PCA_PSO_SVM combination algorithm has a good effect on greenhouse temperature prediction,and has a higher prediction accuracy than the traditional method,which brings convenience for greenhouse temperature regulation in advance.With the help of ZigBee’s powerful self-organizing network capability,the system combines the Internet of Things technology with agricultural production closely,expands the single greenhouse to several greenhouses,and realizes the remote monitoring of greenhouse in LAN.The system meets the requirements of agricultural modernization and has the characteristics of high precision,high reliability and low cost.It can meet the needs of remote monitoring of agricultural greenhouse and is suitable for popularization.