Research And Design Of Intelligent Agriculture Monitoring System Based On Heterogeneous Network

Agriculture is the foundation of our national economic development.Today,with the rapid development of science and technology,modern agriculture will be developed by combining Internet of Things,sensors,embedded technology and traditional agricultural mode.The emergence of smart agriculture has greatly improved the level of agricultural production,significantly increased the efficiency of agricultural resources utilization,realized the intelligent agricultural production mode,built a high-quality,high-yield,low-consumption and efficient agricultural ecosystem,while reducing waste,preventing pollution and achieving sustainable development.Firstly,in order to improve the wireless sensor node deployment problem of smart agriculture system,in order to improve the network coverage,a wireless sensor network node optimization strategy based on improved artificial bee colony algorithm is proposed.The principle and algorithm flow of the original ABC algorithm are analyzed.The problem of slow convergence and low precision is to introduce the global optimal factor and dynamic adjustment factor in the search operator of the employment bee and follower stage.The experimental results of different standard dimensions show that the improved algorithm convergence speed The accuracy and accuracy are significantly improved.The improved artificial bee colony algorithm is applied to the wireless sensor network coverage model.Compared with the original bee colony algorithm,the sensor node distribution is more reasonable and the network coverage is improved.Then,according to the limitation of the wireless network data communication process,a smart agricultural monitoring system based on heterogeneous networking is designed,which is designed by the three-layer architecture of the Internet of Things,including the sensing layer,the transport layer and the application layer,and the sensing layer.Including the system front-end sensing environment data,multiple terminal nodes complete the collection and control of data;the transport layer uses the LoraWAN communication protocol to self-organize the network to wirelessly transmit the data collected by the front-end to the gateway,and the gateway analyzes and processes the collected data to achieve Intelligent control,then repackage all the data and send it to the server by NB-IoT communication technology;the application layer analyzes,classifies and stores the agricultural environment data reported by the gateway,and displays it through the web server to form a visual interface,which mainly displays the environmental meteorology.Data and soil data,alarm status,control parameters,etc.,complete remote monitoring of the agricultural environment,and provide a good growing environment for crops.The system is tested in the laboratory agricultural IoT sandbox.Through the heterogeneous networking of Lora communication technology and NB-IoT communication technology,the functions of data acquisition,transmission and monitoring of simulated agricultural environment are realized.The research results show that the system runs stably.In the data collection,transmission,display and storage of the intelligent agricultural monitoring system,the expected requirements have been met.