Development Of Regional Air Quality Comprehensive Monitoring System And Evaluation Method

With the rapid progress of social economy and industrial science and technology,the problem of environmental air pollution is becoming more and more serious.Air pollution is not easy to detect,complex and hidden.In this context,according to the analysis of people’s functional requirements for air quality,an integrated air quality monitoring system is developed,and a regional integrated air quality monitoring system platform is further built.The computer interface can be used to report the latest air quality status in real time and give timely travel advice.In this paper,the model selection and purchase of each sensor module,power supply module,GPRS wireless transmission module,data acquisition board and integrated information processing board required by the air quality comprehensive monitoring system were carried out according to the system functional requirements.The hardware design of the system was completed by using Altium Designer.Keil C software was used to complete the software design of the system.On the basis of the above,combined with the knowledge of server WEB environment construction and configuration,database design,WEB front-end design and frontend design,three sets of system equipment were used to build the regional air quality comprehensive monitoring system platform.The server WEB environment construction and configuration mainly completed the Java and Linux environment configuration.Database design mainly includes user table,real-time data table and historical data table design;The front-end and front-end design of the WEB mainly includes two parts: the front end and the back end.The frontend design mainly includes the user login interface,the display of AQI information and concentration information interface,and the display of pollution cloud image WEB interface.The back-end design mainly includes the design of login background program,real-time monitoring background design and server Socket program design.Referring to a lot of the literature of artificial neural network and books information,summarized the knowledge of the artificial neural network,and from the algorithm of BP neural network principle,derivation,the BP neural network design and theoretical research on algorithm process and computational steps,using the MATLAB software simulation implementation of BP neural network algorithm,puts forward the concept of geometric segmentation data sets at the same time,the result eventually convergence is more robust.Finally,the trained BP neural network prediction and evaluation model is used to predict the air quality level of the detection data collected near the northern suburb of xi ’an by using the developed integrated air quality monitoring system.