Design And Implementation Of Remote Monitoring System For Intelligent Agricultural Greenhouse Environment

Agriculture greenhouses can provide crops with the best growing conditions and thus improve agricultural output and quality.At present,traditional agriculture greenhouses in China are transforming towards intelligent greenhouses.However,existing intelligent agriculture greenhouse systems have shown such problems as limited functions,high power consumption of wireless sensor network(WSN)nodes,data redundancy,low data accuracy and poor real-time performance and diversity of remote monitoring.Therefore,study on the environment monitoring system of agriculture greenhouses is of great significance.Based on a comprehensive analysis of the current situation of intelligent greenhouse monitoring systems at home and abroad and the existing problems,this thesis designed a multi-terminal remote intelligent agriculture greenhouse system integrating both monitoring and control functions on top of the low-power consumption ZigBee WSN.The system was mainly composed of three parts,namely ZigBee WSN module,STM32 main console and the remote monitor.After completing ZigBee WSN networking,environmental data collected by terminal nodes was fused via the improved Kalman filter,and sent to STM32 main console by ZigBee coordinator.The console then received and displayed environmental data of the greenhouse,controlled environmental regulation devices and sent the environmental data to the PC-side monitoring center via the 4G wireless module,and received its commands in return.In cases of network failure,data would be stored in the SD card.The PC-side monitoring center had a built-in My SQL database.It created the server,showed and managed environmental data in real-time,and sent control commands.Mobile terminal APP was connected to STM32 main console through the server,facilitating users' query to environmental data and control of the greenhouse environment.In cases of louder environmental noise,data processing by the traditional Kalman filter algorithm would affect data stability;corresponding improvements were made in this thesis.By sliding filter processing of data collected by the sensor,interference of sample data with obvious fluctuation was reduced;on such a basis,using the processed data as the Kalman filter measurement,the data accuracy after processing was enhanced.In the end,system capabilities were tested.According to the results,the greenhouse monitoring system designed herein functioned normally and showed good data transmitting stability and real time performance and high automation degree;data processed by the improved Kalman filter algorithm was of high accuracy and good stability.Application of the intelligent monitoring system can not only save manpower and material resources,but also provide crops with good growing conditions,thus improving yield and further rationalizing and standardizing agricultural production and management process.