How the micro air quality monitoring station monitors the four gases and two dusts
Background of micro air quality monitoring:
Micro air quality monitoring data can reflect the degree of air pollution. Which is judged based on the content of pollutants in the air. Air pollution is a complex environmental pollution phenomenon. The concentration of air pollutants at a specific time and place can be affected by many factors. Man-made pollutant emissions from stationary and mobile pollution sources are also one of the most important factors affecting air quality, including exhaust from automobiles, ships, and airplanes, industrial pollution, residential life and heating, and waste incineration.
In the face of increasingly severe environmental pollution problems. The state has issued many air pollution prevention and control regulations to monitor and control the environmental air quality and accurately trace the source.
The micro air quality monitoring station was developed for this policy. In order to monitor the air quality of the atmospheric environment and effectively track pollution sources. It can be deployed in the urban power grid. Through the real-time monitoring of online continuous atmospheric monitoring equipment. The surrounding air quality is monitored in the background to prevent pollution. Investigate the hardest-hit areas, investigate the sources of pollution, adjust and transform the main body causing pollution, reduce pollution, and achieve the purpose of environmental monitoring and control.
Introduction of the Four Gas, Two Dust Atmospheric Microscopic Station:
The four-gas-two-dust atmospheric micro station is an atmospheric monitoring equipment that mainly monitors the four-gas and two-dust (ie SO2, NO2, CO, O3, PM2.5, PM10). It can also be equipped with 5 meteorological parameters (pressure, temperature, humidity, wind speed) , Wind direction), on this basis, a variety of operation monitoring module extensions, such as CO2, etc., can be carried out. The instrument uses pump suction or diffusion sampling methods to collect ambient air quality monitoring data. According to the monitoring principles of electrochemistry and light scattering. The monitoring concentration value is obtained through the analysis of the sensor module. And then the data is uploaded to the platform through the transmission network. Through the integration, analysis, and comparison of various technologies such as big data and the Internet of Things. The data can be displayed on mobile phones, WEB, and large screens in real time.
