Air Quality Monitoring Station: Enabling Comprehensive and Refined Urban Air Quality Supervision

In an air quality monitoring station, the "four gases" refer to sulfur dioxide (SO₂), nitrogen dioxide (NO₂), carbon monoxide (CO), and ozone (O₃), while the "two particulates" are fine particulate matter (PM2.5) and inhalable particulate matter (PM10).

Cities are vast in space and diverse in functions. Traditional air quality monitoring stations are sparsely distributed, making it difficult to comprehensively monitor pollution conditions, leaving many regulatory blind spots, such as old urban neighborhoods, urban-rural junctions, and small industrial parks. These areas have long lacked effective air quality monitoring, either due to difficulties in deploying monitoring equipment or insufficient attention.

The air quality monitoring station overcomes this problem through a grid-based layout. It divides the city into numerous small grids and scientifically sets up monitoring stations within each grid. In a coastal chemical industrial park, a monitoring network composed of 32 monitoring devices successfully detected two abnormal VOCs emission events. Through source tracing analysis, the leakage sources were accurately located, helping enterprises avoid major environmental accidents. In urban functional zones, the response curve of the equipment to NO₂ concentration changes during morning rush hours is highly consistent with the results of mobile monitoring vehicles from environmental protection departments, but the cost is only 1/5 of the latter.

The system monitors a wide range of parameters. The basic configuration can simultaneously monitor the "four gases and two particulates". For special needs, it can also detect pollutants such as VOCs and hydrogen sulfide through expansion modules, fully meeting the monitoring needs of different regions and scenarios.

In actual operation, once the monitoring system detects abnormal pollutant concentrations in a certain grid, it will immediately trigger an early warning mechanism. After receiving the warning, relevant departments can quickly lock down the abnormal area, accurately investigate the pollution sources, and take corresponding rectification measures. For example, in some cities, through this system, problems such as dust from construction sites and catering fume emissions have been promptly discovered and dealt with, effectively curbing the spread of pollution.

The system can also integrate multi-source data, combine meteorological data and geographical information, to conduct in-depth analysis of pollution causes and diffusion laws. Through big data analysis, it provides a scientific basis for urban planning and industrial layout adjustment, prevents pollution from the source, and helps the sustainable development of the urban ecological environment. It truly realizes all-round and refined supervision of urban air quality, guarding the blue sky and white clouds of the city.