Research On Optimization Of Intelligent Vineyard Management System Based On IoT

Agricultural IoT through wireless sensors,infrared sensors,radio frequency identification technology and other information sensing device,connects the agricultural products and the Internet for real-time data communication and information exchange to achieve recognition,intelligent tracking,monitoring and management of agricultural products.With the rapid development and wide application of the technology of Internet of things,the development of intelligent agriculture is promoted.Intelligent agricultural management system based on Internet of things technology,has the function of real-time data communication and information processing.Research and optimization of wisdom agricultural management system architecture,data processing and storage,data mining and other aspects of the system brings the Efficient deployment and Fast running of the system,which has a great importance on agricultural informatization modernization.This thesis mainly completes the works as follows:(1)Based on the IoT architecture model,the overall architecture of wisdom vineyard management system are discussed and then designed using a hierarchical thinking;Based on the design principles of software system,the framework of the software system are studied and then designed with the combination of hierarchical thinking;Based on the principles of standardization and JSON data exchange format,the communication protocols between the software system and the embedded gateway are designed to ensure the exchange of information within the system and data communication.(2)The solving of two problems that affect the system operation in the actual debugging process,one is the power consumption of wireless sensor nodes,and the other is the problem of embedded database collapse caused by voltage instability.The influence of the problem on the whole system is analyzed,and the corresponding solution is put forward and analyzed.(3)The data storage module,data processing module and the software system of mining module of the software system are investigated and optimized:database optimization scheme is proposed according to the influence factors of the database performance and the life cycle storage strategy;data processing module is optimized based on the strategy of n-of-N model and the life cycle of the stored data stream processing model;the research of data mining is conducted according to the K-means algorithm.(4)The realization of the management system of the Wisdom vineyard According to the needs,in which to achieve the optimization of database storage,the optimization of data processing module and the application of the farthest K-means algorithm to select the grape growth curve.The results show that the optimization of database storage,the optimization of data processing module based on the strategy of n-of-N model and the life cycle of the stored data stream processing model and the K-means algorithm based selection of grape plants growth curve achieve good results in the Wisdom vineyard management system designed with hierarchical thinking.