Research Of Agriculture Environment Parameters Monitoring System Based On The Internet Of Things

As a traditional agricultural country,agriculture in China occupies an extremely important position in the national economic system.In recent years,China’s agriculture is facing many new challenges,such as the aging of the rural population,the hollowing out of the countryside,the climate environment,the ecological resources and the safety of agricultural products.Traditional agriculture relies mainly on the extensive production management of human perception and intuitive experience,resulting in low efficiency of agricultural production and destruction of natural ecological environment.The Internet of Things and modern communication technology are applied to agricultural production,through the real-time collection of crop growth environment parameters,agricultural production can be better guided.Therefore,it is urgent to design a set of monitoring system of agricultural environmental parameters based on the Internet of Things,collect real-time and accurate information of agricultural environmental parameters,complete the fine management of crop science,and improve agricultural production efficiency.Firstly,after investigation and research,this paper summarizes and analyses the research status of Internet of Things agriculture at home and abroad,the related concepts of Internet of Things and the key technologies of Internet of Things agriculture.Combining with practical application,this paper designs the structure of agricultural environmental monitoring system based on Internet of Things technology,which is composed of three layers of network model: perception layer,network layer and application layer.The wireless sensor network node adopts a modular structure design to determine the hardware implementation schemes of the sensor module,the wireless communication module,the serial communication and the power module;the software is based on the ZStack protocol stack,and successfully realizes the establishment of coordinator network and the node device accessing the network.The ZigBee networking has been verified and design of node communication is carried out.Secondly,a data fusion algorithm GA-ACO-BP,which combines genetic algorithm with ant colony algorithm,is proposed to improve the performance of wireless sensor network system.The model of wireless sensor network based on LEACH protocol is adopted,and the GA-ACO-BP algorithm is designed and implemented on the basis of genetic algorithm,ant colony algorithm and BP neural network.The simulation results show that GA-ACO-BP algorithm is superior to LEACH and ACO-BP algorithm in convergence speed,reducing power consumption of coordinator nodes and data received by coordinator nodes.Finally,the upper computer software system based on B/S architecture is selected,and the overall design of the upper computer system is completed by using JAVA and JSP programming languages.The human-computer interaction interface of user login,parameter setting and curve display is completed.The remote data transmission technology based on Web realizes data upload,command release and remote monitoring,and the manage and store real-time data and historical data of network nodes by My SQL database.Excel reports can be exported,and data trend graphs can be generated for all-day,all-week and all-month data to complete data summary.The research of agricultural environmental parameters monitoring system based on the Internet of Things technology gives a specific design scheme.The system can run normally,users can log in to the system for data query and management at any time,and GA-ACO-BP algorithm is used to reduce the energy consumption of the system.The state has formulated detailed plans for the future development of agriculture,and the Internet of Things will play an important role in the construction of new agricultural production.