The Design Of PM2.5 Point-source Prediction Model And Real-time Monitoring System

With the rapid development of science and technology, more and more serious damage have done to environment, and environmental pollution have caused obvious impact on human’s work and lives, so the topic of environmental pollution and environmental protection, in particular PM2.5, has attracted widespread attention. How to predict PM2.5’s diffusion in space and detect the concentration of PM2.5 timing under certain time seem to be very important because they are related to people’s lives closely. This paper establishes a point-source prediction model based on partial differential equations, and it can be used to predict the distribution of PM2.5 diffusion. In order to provide the data foundation to build the point-source prediction model and test its accuracy, this paper also design a PM2.5 real-time detection system based STM32 chip, comprehensive using of embedded knowledge and mathematical theory, this paper provide a very reliable solution diffusion PM2.5 forecasting and detection.The design of PM2.5 point-source prediction model and real-time detection system includes theory research and system design including hardware designing and software development. The theory research is mainly about the establishment of PM2.5 point-source prediction model, this paper firstly establish the proliferation prediction model under the ideal condition., the diffusion distribution of PM2.5 is affected by many factors, taking these factors into account, so it is necessary to correct the prediction model established under the ideal condition. This paper takes factors like temperature, humidity into account, via relevant theories and mathematical method, the prediction model is finally established. Diffused distribution of PM2.5 is actually due to the effect of multiple pollution sources interaction, so that the second term of the theoretical research is to establish PM2.5 multi-source diffusion prediction model.The design of system is mainly about the establishment of PM2.5 real-time detection system, via embedded knowledge, the real-time detection system can turn the concentration of PM2.5 into a digital signal by PM2.5 sensor, and then STM32 chip will do a series of operation processing, and the OLED display real-time PM2.5 concentration, what is more, the data can be transferred to APP client via Bluetooth, the data can also be transferred to computer for further data processing via the serial port. The first work of the design of PM2.5 real-time detection system in this paper is to draw schematics and PCB circuit board using Protel DXP, do some verification work via Proteus, do some serial debug work via XCOM, after the PCB circuit board is finished and the relevant components are soldered, the hardware is basically completed. The main software work of this system is to completion the level drivers, after the completion of the underlying program, the underlying program can be written into the burning hardware board, after commissioning, the design of PM2.5 real-time detection system is completed. The system can detect the real-time concentration of PM2.5, and can also display the real-time concentration data through the OLED display, the system can transfer data to APP client via Bluetooth, or transfer data to a computer for processing through the serial port. Thus, the PM2.5 real-time detection system will provide the data basis for the diffusion prediction model, and these data can also be used to provide evidence for the accuracy verification of the diffusion prediction model.The design of PM2.5 point-source prediction in this paper play a very good predictor in the real-time concentration of PM2.5, and this will be beneficial to the environment protection. PM2.5 real-time detection system provide data base for the establishment of PM2.5 point-source prediction model, and provide data to test the accuracy of PM2.5 point-source prediction model. These two system cooperate with each other, work together. In summary it can be seen, both mutual cooperation, are of profound significance for the prediction of PM2.5 diffusion in space, for related environment prevention and treatment, for people’s physical health and so on.