Update: 2019-08-31 17:50 Source: LUFTMY
With the improvement of living standards, we are paying more and more attention to air quality. PM2.5 particles are increasingly harmful to human health. Dust particles enter the human body through the respiratory system and directly affect the lungs. The average person breathes about 10,000 litres of air a day. Once the air contains pollutants, human health is bound to suffer.
Air PM2.5 pollution
PM2.5 fine particulate matter refers to particulate matter with 2.5 microns or smaller in ambient air. It can be suspended in the air for a long time, and the higher the concentration in the air, the more serious the air pollution is. Although PM2.5 is only a small part of the earth's atmosphere, it has a significant impact on air quality and visibility. Compared with coarse atmospheric particles, PM2.5 has small particle size, large area and strong activity, and it is easy to attach to toxic and harmful substances, such as heavy metals and microorganisms.
In order to prevent people from re-inhaling too many harmful particles in the breath, it is necessary to monitor PM2.5 particles in the air. PM2.5 sensors are also called dust sensors and particle sensors. PM2.5 sensors can be used to detect the dust concentration in the air around us, that is, the value of PM2.5.
The working principle of Luftmy laser PM2.5 dust sensor LD07 is a high precision particle concentration sensor based on laser Michaelis MIE scattering theory. It can continuously collect and calculate the number of suspended particles with different particle sizes in the air per unit volume, i.e. particle concentration distribution, and then convert it into mass concentration.At the same time, it can be embedded in various instruments or environmental improvement equipment related to the concentration of suspended particulate matter in the air, such as air purifier, air conditioner with purification function, PM2.5 detector, lampblack extractor, smoke alarm, fresh air system, etc., to provide timely and accurate concentration data.