Research On Data Visualization Technology Of Air Quality Monitoring Wireless Sensor Network

With the transformation of the country's economic structure and the promotion of high-quality economic development,China had paid more attention to environmental protection.The 18 th National Congress of the Communist Party of China had put forward the development concept of beautiful China.However,China urgently need to apply fast-developing information platform to monitor environmental information intelligently,so that the corresponding protection policies would be implemented.The air quality was directly related to people's daily life.It also had a direct impact on people physical and mental health.Therefore,it was necessary to construct an intelligent system for monitoring management and visual analysis of air quality data.Through the air quality monitoring sensors deployed in various regions,a variety of data packets were collected and analyzed.The data was firstly obtained from cloud Redis database and transmitted to the cloud MySQL database at fixed time every day to achieve persistent storage.To make better utilizing of the acquired network data,a web-based air quality monitoring wireless sensor network data visualization system was constructed and applied.The system implemented real-time dynamic update of data.The purpose of the work was mainly to facilitate data management and to seek more accurate real-time visualization technology.As a B / S architecture,the Spring Boot framework was employed to build micro-service instances.The client-side page was developed by Vue framework.The Axios plug-in was used for data interaction.In the system,the main modules included: equipment monitoring management module,data monitoring download module,visualization development module,data interaction module and so on.Among them,visualization development was the most important module of the system.The real-time visualization development of user-side web was realized by Echarts.It mainly realized the development and display of basic graphics such as line graph,histogram,Pie Charts.The Baidu map and Open-layers were integrated to realize real-time map visualization.In the aspect of algorithm,clustering based on Square and distance wasdesigned in this system.The real-time visualization of the pollution source area were described by launay triangle mesh algorithm and ordinary kriging interpolation algorithm was combined for real-time spatial visualization analysis.Finally,we analyzed the results of various real-time visualization techniques in the system.The system was compatible with most browsers popularly with strong portability.It could be applied in different regions and different types of monitoring requirements according to user requirements.An Android mobile app was developed to view real-time latest data and the results of simple data visualization in anytime.The implementation of system can display visualization and analysis based on the current collected air quality monitoring data in Shenyang area.