Atmospheric grid air monitoring station can help control pollution and reduce haze
I don't know when, the sky is no longer clear blue, and the visibility of the air becomes low. Air pollution, smog and other pollution problems are gradually increasing. For this reason, the environmental protection department has realized the importance of atmospheric environmental air quality issues. Vigorously launch activities to defend the blue sky and attach importance to pollution control and haze reduction. The atmospheric grid air monitoring station can monitor air quality. Mainly monitoring multiple parameters such as PM2.5, PM10, CO, SO2, NO2, and O3.
The establishment of an air environment data monitoring system can improve the processing and management capabilities of air pollution monitoring data. And can be beneficial to the progress of environmental protection work. The monitoring of the ir monitoring station allows us to formulate a governance plan based on the actual detection data. Now the atmospheric grid air monitoring station has achieved initial results in pollution control and haze reduction.
Everyone is responsible for environmental protection. The monitoring data of the Air monitoring station is enough to attract everyone of us. The air monitoring station uses the detection data to sound the alarm of air pollution and urge the relevant environmental protection departments. Implement some powerful measures and vigorously promote some environmental protection measures to maintain the air quality of our atmosphere.
Features of atmospheric grid air monitoring station:
- Use exclusive hardware circuit
The atmospheric micro station can switch the resolution flexibly, and can increase the resolution of the detection parameters by 32 times. The detection accuracy of the electrochemical sensor at low concentrations is improved, and the deviation of the traditional circuit due to changes in the weather environment and long-term detection is overcome.
- "Jingxun Cloud" big data
The atmospheric micro station has an analysis and calibration algorithm to calibrate meteorological parameters such as temperature, wind speed, and air pressure according to the influence of daily temperature, wind speed, and air pressure on the sensor.
- "Jingxun Cloud" big data analysis
Atmospheric Micro Station has effectively designed three different calibration algorithms for 24 hours, 72 hours, and 7 hours. Eliminate the influence of individual differences and accumulated errors in practice on atmospheric micro-stations.