Research On Orchard Crop Dynamic Monitoring Platform Based On Hybrid Cloud Technology

According to the demand of agricultural production,management,management and decision-making of the 14th division of Xinjiang Production and Construction Corps(Kunyu City),a demonstration application information service system was established with red jujube as the research object.Kunyu City is located in the northwest of China,the area of orchard planting area is vast,is remote,sparsely populated,using the traditional artificial way orchard management is not only time-consuming,but also difficult to guarantee the real-time orchard data acquisition.This paper aims to apply modern high-tech technologies such as Internet and Internet of Things to the orchard monitoring in Kunyu City,so as to promote the digital,networked and intelligent development of local orchard management.The development of digitization,networking and intelligence will vigorously promote the development of efficient,intensive and industrialization of local fruit industry production,and promote the optimization and upgrading of local fruit industry production cost saving,quality improvement,efficiency improvement and industrial system.Therefore,on this premise,a service platform for dynamic monitoring of orchard crop growth based on hybrid cloud technology is built.The main research contents and results of this paper are as follows:(1)Multi-source data fusion.Data sources in this system include remote sensing image data,map vector data,ground Internet of Things sensor data,basic information management data,etc.There are many data types and different formats.To store these multi-source information data in the data in an organized way,we need to understand how to store these data in the database,and how to relate each data,and determine the relationship between tables by establishing foreign keys,primary keys,etc.Remote sensing image data cannot be directly stored in the database because of its large amount of data.In the database,only the storage location of the image in the computer is recorded.PostgreSQL database and PostGIS plug-in is used to store map vector data.The ground IoT data and basic information management data are recorded in the database in basic fields.(2)Research on platform information security guarantee.In order to guarantee the security of user information and computing capacity,the system adopts the hybrid cloud mode and uses the cloud services provided by Ali Cloud to build the hybrid cloud.The public cloud provides users with system access address.In the face of cloud outbreak,the public cloud can also provide services such as elastic computing and load balancing.Private clouds are used to store data and keep it safe.At the same time,the system has hierarchical management authority,giving different users different management authority,used to maintain the system information security.(3)Realize the digital management of orchard base.JAVA is used to achieve hierarchical authority management,user base information management,plot information management,real-time sensor monitoring,crop planting management,early warning prompt;Using OpenLayers to realize map visualization and manage farmland planting on the map.(4)To realize the monitoring and warning of orchard environment.The system is connected with the external ground sensor to obtain the monitoring data and monitor the data in real time.When the data exceeds the specified threshold value,the warning information will be sent.The ground sensors used in this system include temperature and humidity sensor,soil pH sensor,light intensity sensor,etc.In this system,soil temperature and humidity and soil pH are monitored,because these two growth factors are artificially controllable,and they are also relatively important factors for crop growth.For other orchard environmental data can be used for agricultural growth research to determine the impact of these factors on crop growth.(5)Design and implementation of orchard monitoring service platform based on hybrid cloud.This platform is mainly designed from the aspects of platform requirements,overall framework,platform security,web design,database design,functional design,etc.The development and implementation of this platform,the background development using Java language,integration of SSM framework;The front-end development uses Layui,Bootstrap and Echarts front-end framework;The sensor development follows the MQTT protocol,and the EMQTT server is built to connect the client and server to carry out the data transmission of the message queue.