As a core device for assessing environmental health risks, air quality monitors provide a scientific basis for indoor and outdoor environmental management by real - time detecting the concentration of pollutants in the air and meteorological data. Its working principle is based on multi - sensor collaborative technology, integrating principles such as optical scattering, electrochemical analysis, and physical sensing, and can accurately capture the changing trends of key parameters such as particulate matter, harmful gases, temperature, and humidity.

 

I. Core Monitoring Parameters and Technical Principles

1. Particulate Matter Detection: Using laser scattering technology, it can identify suspended particles of different particle sizes such as PM1.0, PM2.5, and PM10, with an accuracy range of ±3% and a resolution of 0.1 μg/m³.

2. Analysis of Gaseous Pollutants:

    - Carbon Monoxide (CO) and Carbon Dioxide (CO₂): Electrochemical sensors support a measurement range of 0 - 500 ppm (CO) and 0 - 5000 ppm (CO₂), with an error of no more than ±3% of the reading.

    - Ozone (O₃), Sulfur Dioxide (SO₂), and Nitrogen Oxides (NOx): Based on the chemiluminescence method, the detection limit is as low as 0.1 ppm, and the response time is less than 60 seconds.

3. Integration of Meteorological Parameters:

    - Temperature and humidity sensors cover a range of 0 - 50℃ (±0.6℃) and 5 - 95% RH (±3% RH), and the data is updated within 20 seconds.

    - The ultrasonic anemometer can measure wind speeds from 0 - 20 m/s with an accuracy of 5% of the reading, and simultaneously supports atmospheric pressure and optical rainfall monitoring.

 

II. Device Characteristics and Functional Advantages

1. High - Precision Data Acquisition: The sensor module is calibrated at the laboratory level to ensure long - term stability, making it suitable for industrial emission monitoring and household health management scenarios.

2. Intelligent Early - Warning System: It supports custom thresholds. When the pollutant concentration exceeds the standard, it notifies through audible and visual alarms or mobile - end push notifications, shortening the emergency response time.

3. Multi - Scenario Adaptability:

    - Urban Environmental Grid Monitoring: The miniaturized design facilitates deployment in areas such as transportation hubs and industrial parks, and supports 4G/LoRa multi - mode data transmission.

    - Indoor Air Quality Management: The built - in storage module can record continuous data for more than 10 days (at a sampling frequency of once per minute), assisting in analyzing the changing laws of pollution sources.

4. Low Power Consumption and Durability: The IP65 protective housing combined with the rain - and - snow - proof probe design allows continuous operation in extreme environments from - 20℃ to 50℃. The built - in lithium battery has a battery life of up to 72 hours.

 

III. Analysis of Scientific Purchase Key Points

1. Clarify Monitoring Requirements:

    - In industrial scenarios, emphasis should be placed on gas detection (such as VOCs and SO₂) and explosion - proof certification.

    - For household devices, multi - functional models integrating PM2.5, formaldehyde, and CO₂ should be preferred.

2. Verify Sensor Performance:

    - Check whether the device has a third - party calibration certificate to ensure that the CO detection accuracy is better than ±3 ppm and the particulate matter error rate is less than 5%.

3. Evaluate Data Management Capability:

    - Products that support cloud storage and multi - terminal synchronous viewing should be preferred. The function of exporting historical data facilitates the generation of pollutant change trend reports.

4. Control Maintenance Costs:

    - Choose models with a modular design, which allows independent replacement of sensors, reducing later - stage consumable expenses. Regularly cleaning the optical components can extend the device life by more than 30%.

 

IV. Typical Application Scenarios

- Urban Environmental Protection Monitoring: Grid - based layout to analyze the impact of traffic exhaust and industrial emissions on regional air quality, assisting in formulating traffic restriction policies.

- Intelligent Building Ventilation: Link with the fresh air system to automatically adjust the ventilation frequency and maintain the indoor CO₂ concentration below 1000 ppm.

- Healthy Living Environment Management: Real - time monitor the concentration of formaldehyde and TVOC, guide the operation of air purifiers, and reduce the risk of respiratory diseases.

 

Selecting a monitoring device that meets the application scenario and combines accuracy and stability is the key to improving environmental management efficiency. With the iteration of sensor technology, future devices will further integrate AI prediction functions, achieving an upgrade from passive monitoring to active prevention and control.