With the proposal of environmental protection and the introduction of a series of environmental policies by the National People's Congress and the Chinese People's Political Consultative Conference, environmental governance issues focusing on people's livelihoods have become a hot topic highly valued by the country. In fact, not only this year's Two Sessions, but also in previous years, environmental protection has always been a highly concerned livelihood issue. Due to the deterioration of atmospheric pollution and the increase of haze weather, the environmental pollution caused by rapid economic development has seriously affected the sustainable development of ecological economy and people's physical and mental health. The macro policy of national environmental protection, pollution reduction and emission reduction is no longer just a slogan, but has been effectively implemented in local policies and planning construction.
The increasingly complex air pollution situation is challenging traditional methods of monitoring air pollution sources. The current implementation of the national control point monitoring system for environmental air has a limited number of monitoring points, high costs, and cannot achieve deep exploration of the spatiotemporal dynamic trend analysis and pollution source tracking capabilities in the monitoring system. In order to continuously improve urban air quality, Ausen's independently developed air quality grid based online monitoring system utilizes widely used grid based monitoring methods to achieve full coverage of air pollution monitoring. The collected data is scientifically predicted according to the laws and trends of air quality changes, accurately tracing the sources of air pollution and providing scientific basis for pollution control from the source.
The OSEN-AQMS micro air station is a new type of online multi parameter monitoring system for air quality produced by our company. Based on providing data on six parameters including PM10, PM2.5, SO2, NO2, CO, O3, it can be extended to monitor various characteristic pollutants such as VOCs, chlorine, hydrogen sulfide, ammonia, etc. It establishes an atmospheric environment data monitoring and analysis system, which can improve the processing and management capabilities of atmospheric pollution monitoring data and provide decision-making basis for environmental planning and evaluation. Enterprise industrial park, urban environmental monitoring, municipal environmental monitoring, mobile environmental monitoring, traffic pollution environmental monitoring, residential area/school/hospital air quality environmental monitoring, park/forest environmental monitoring.

Detection parameters |
range |
unit |
accuracy |
resolution |
Technical principles |
lifetime |
PM2.5 |
0-1000 |
ug/m3 |
5% |
1 ug/m3 |
light scattering |
2 |
PM10 |
0-2000 |
ug/m3 |
5% |
1 ug/m3 |
light scattering |
2 |
carbon monoxide(CO) |
020PPM |
ppm |
5% |
0.01PPM |
electrochemistry |
2 |
sulfur dioxide(SO2) |
01PPM |
PPM |
5% |
0.001PPM |
electrochemistry |
2 |
nitrogen dioxide(NO2) |
010PPM |
PPM |
5% |
0.001PPM |
electrochemistry |
2 |
ozone(O3) |
01PPM |
PPM |
5% |
0.001PPM |
electrochemistry |
2 |
Volatile organic compounds(TVOC) |
0-20PPM |
PPM |
1% |
0.001PPM |
PID |
2 |
temperature |
-20-60 |
℃ |
2% |
0.1℃ |
|
2 |
humidity |
0-100 |
%RH |
0.3% |
1% |
|
2 |
Introduction to Cloud Platform
Monitoring of Atmospheric Environmental PollutionThe web homepage publishing and querying software is the result of years of experience by multiple senior engineers, and has the advantages of strong practicality, easy operation, and real-time data. It has multiple comparison methods for querying and has good data comparison effects. It is mainly divided into two parts: data query and system management. (Login URL: www.osen-cloud.net)
1. Multi site query: This function is mainly used for comparing and querying data from multiple devices;
2. Historical query: Historical query is mainly used to query the data curve and report download of a device on a certain day or hour;
3. Curve analysis: Curve analysis is used to analyze the changes in elements within a time period, and can be dragged on the curve;
4. Site management: This feature is used to add or change sites
5. Electronic map: online status, offline status
6. Real time data: real-time data query, hourly average, daily average data statistics, maximum and minimum value statistics
