Catering lampblack directly discharged, accumulated in the urban atmosphere, has a large amount, wide, difficult to spread and other characteristics. The emission of catering lampblack accounts for about 14.7% of the total emission of domestic sources VOCs, second only to the third largest air pollution source of automobile exhaust and industrial pollution.

Environmental monitoring across the country of food lampblack pollution most still stay in the manual monitoring stage, low time coverage, monitoring scope is limited, it is difficult to reflect the larger area of urban environment pollution of continuous change, also difficult to achieve real-time monitoring, real-time excessive alarm, unattended requirements, and time-consuming, seriously affect the efficiency of the environmental protection department and rapid response ability.

Application Case 1:

Catering lampblack traceability

Catering lampblack pollution usually has the characteristics of large amount, wide surface, strong low altitude diffusion, and its composition is more complex, including inhalable particles and organic gaseous pollutants, etc. These substances will not only cause pollution to the environment, but also have an impact on human health. The high-density collection of air pollution data can capture the emission signal of catering lampblack in real time, and automatically and accurately locate the source of pollution emission.

The small-scale automatic traceability model was used to analyze the one-month monitoring data of a point in Shenzhen, and the results showed that the main pollutant of the site is TVOC, captured the TVOC high value signal for many times, the concentration exceeds 80 ppb, the pollution comes from the southwest of the site (210 ± 24); meanwhile, TVOC has a significant daily variation trend, showing the distribution characteristics of double peak at 11 and 18 per day, corresponding to the catering and cooking time. Combined with the field investigation, the emission source is accurately located to the pancake shop in the southwest of the integrated environmental perception terminal. At the door of the shop.

Application case 2:

Analysis of lampblack particle size distribution and removal efficiency

The lampblack particle size is relatively concentrated between 1-2.5mm (that is, PM_1-2.5).

With CO as the tracer, and assuming that the cooking method / lampblack production before and after dust removal does not change significantly, the purification efficiency is about 83% and 87% for PM_2.5 and PM_1-2.5, respectively.

The lampblack purification device has produced obvious NO_x emission, and mainly by the primary NO₂ emission.

After the installation of the lampblack purification device, there is still obvious lampblack / PM_2.5 emission in some days. It is uncertain whether it is: 1) the purification device is not opened; 2) the purification efficiency is not as expected, which should be paid attention to.

Using CO as a tracer to eliminate the influence of strong emission source and changes in diffusion conditions, the correlation between PM_2.5/PM_1-2.5 and CO decreased after dust removal, but the correlation between NO and CO was significantly increased.