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Multi dimensional integration of intelligent sensing layer in micro environmental air quality monitoring system

2025-01-04 01:41:10

Background of Micro Environmental Air Quality Monitoring System

Nowadays, global air pollution has become increasingly severe, with urbanization and industrial production leading to a large amount of exhaust emissions, factory emissions, and dust, resulting in a sharp decline in air quality. Air pollution not only affects people´s health, but also causes serious damage to the environment and ecosystems, exacerbating the pace of global climate change.

In this context, micro air monitoring stations have become essential equipment. It can monitor the concentration of various pollutants in the air in real time, including PM2.5 PM10、 Sulfur dioxide, carbon monoxide, etc. provide people with timely and accurate air quality data. Through micro air monitoring stations, we can better understand the degree of air pollution and take effective measures to protect the environment and human health.


Introduction to the Osen Micro Environmental Air Quality Monitoring System

The micro environmental air quality monitoring system is an unmanned environmental monitoring system that integrates data collection, storage, transmission, and management. It can monitor the environment 24/7, continuously, and automatically. On the basis of providing 7 parameter data such as PM10, PM2.5, SO2, NO2, CO, O3, VOC, it can expand the monitoring of meteorological parameters. Following the concept of "network freeze, grid responsibility, and person responsibility", it establishes a regional grid monitoring platform that is "horizontal to the edge, vertical to the bottom", applies and integrates multiple smart environmental protection technologies, and comprehensively grasps and analyzes pollution source emissions and meteorological factors.

Adopt flexible deployment methods tailored to local conditions. Real time statistics of monitoring equipment data from various factory areas and monitoring points, and analysis and speculation of the overall emission situation in the area based on the environmental conditions and pollution situation of each monitoring point, to achieve overall monitoring of hotspot emission areas, calculation of pollutant diffusion trends, and analysis of emission sources; By integrating, sharing, and developing advanced technologies such as the Internet of Things, intelligent collection systems, geographic information systems, and dynamic chart systems, a comprehensive, refined, information-based, and intelligent regional environmental online monitoring platform will be established to achieve comprehensive management of controlling unorganized emissions from pollution sources, reducing air pollution, and providing reliable data information and scientific auxiliary management decisions for formulating energy-saving and emission reduction plans; Provide detailed data and scientific basis for environmental decision-making, environmental management, and pollution prevention and control of environmental protection departments.


Featured Features

1. On site IoT sensing: The intelligent sensing layer achieves multidimensional integration, including particle in-situ measurement devices, real-time monitoring devices for harmful gases, etc.

2. Over limit alarm: The device can set an alarm threshold and support remote setting. When the data exceeds the alarm threshold, the device will automatically alarm and upload it to the monitoring platform. The monitoring personnel will be reminded through the PC platform or mobile WeChat platform, and the camera can be linked for capturing and recording operations.

3. In situ measurement device for particulate matter: This equipment mainly realizes real-time monitoring of dust PM2.5 and PM10 simultaneously. This device uses the principle of light scattering to measure particle concentration. Compared with traditional beta rays and micro oscillation balance methods for measuring dust concentration, it has the advantages of wide applicability, fast measurement speed, convenient operation and maintenance, and online real-time measurement.

4. GPS positioning system: The device is equipped with a built-in GPS positioning module and uses the global positioning system to record the real-time location information of the device. The real-time location information is uploaded to the server, and users can also log in to our cloud platform to view the marked points of the device´s location on the GIS real-time map.

5. Solar intelligent switching: To prevent power outages in the monitoring area, which may affect equipment monitoring work, a solar battery pack can be equipped to intelligently switch the working mode. When there is an abnormality in normal power supply, the solar power supply mode will automatically switch to ensure the normal operation of the equipment.

6. LCD touch screen: Equipped with a 7-inch LCD touch screen, it is used for on-site data viewing, related parameter settings, and provides a good human-computer interaction experience. It can intuitively view relevant parameter curve analysis charts.

7. Weather forecast synchronization function: It can obtain real-time weather forecasts for the device installation site area and synchronize them to the LED screen for display. When displaying real-time monitoring data information to tourists, the weather forecast will be displayed synchronously.

8. Network interruption and continuation: In order to prevent equipment from experiencing network interruption and resulting in monitoring data loss, our company has developed a network interruption and continuation function. When the equipment detects a network interruption, it automatically saves the monitoring data to the local area. After the equipment is detected to restore the network, the data monitored during the disconnection period is automatically uploaded to the server for storage.

9. Transmission Network: The device supports communication methods such as 3G/4G, RJ45 Ethernet interface, RS485, RS232, etc. to transmit the collected data to the Osen Cloud platform for storage, analysis, statistical display, and warning processing.


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