| Based on Internet of things technology,this article researched the botanical characteristics and planting technology of quinoa,by examining the main links and indicators of the whole life cycle of quinoa,the meteorological and environmental factors affecting the growth of quinoa and the planting operation of quinoa were collected and analyzed.Building block design is applied to realize server erection,data acquisition,effective data storage,data real-time monitoring and auxiliary analysis,and a meteorological environment assessment model for the planting area of quinoa was established,the specific work is as followsSelecting appropriate monitoring sensors according to the system requirements and the main environmental indicators affecting the planting of quinoa,collecting the environmental information of quinoa during the whole production process,including sow,field work,harvestry,dry and storage,and monitoring of field operations of quinoa,and recording of operation and environmental changes of quinoa.Through the ZigBee network the effective data collection and transmission were implemented,and the data transmission and information interaction in each module of the system have been realized through the erection of the Ethernet network to connect the internal equipment,and the security and stability of internal and external network interaction is enhanced by using SSL protocol encryption to set up firewall servers and load balancing.Based on the database server support,the architecture of the multilevel database table is completed using the Mysql database,which is divided into division-general layout,which to achieve realizes the timely backup of data and reasonable use of space.Through the multilevel design of data tables,the data source layer library table and the ETL processing display layer library table are distinguished,and data cleaning and efficient extraction are achieved.C# language is applied to realize real-time display of key indicators of all parts of quinoa growth.Users can monitor the growth of quinoa in this block effectively and let the data obtained from the system as a reference for future field operations.On the basis of the PC end,the users can use the mobile phone end to connect the Internet to authenticate the identity and access system server to realize the remote inspection of the quinoa monitoring information,and can also add query records to monitor,contrast and meet the real-time monitoring needs of the monitors.Based on the tableau software,the data analysis system and auxiliary monitoring system based on the middle table are designed and implemented and the dimension of monitoring is expanded,the cost of iteration is reduced,and the monitoring freedom of monitors is increased,the auxiliary monitoring system provides an effective reference for the prediction and prevention of the abnormal environment by monitoring and analyzing multi-level indicators.Aiming at the assessment of the meteorological conditions of the planting of quinoa in Dehui,an evaluation model of planting environment based on fuzzy comprehensive evaluation is established.The growers can evaluate the suitability of the local meteorological conditions to the planting of quinoa based on the model,which has a certain reference value for the site selection and meteorological condition assessment of quinoa.The final research results of this paper have been tested in the field of quinoa planting in MISAZI Town,Dehui,Jilin. |