RS485 Air Quality Sensor – CO₂, PM2.5 & PM10 Weather-Proof Environmental Monitor
This RS485 air quality sensor provides simultaneous CO₂, PM2.5, and PM10 monitoring using industrial-grade NDIR and laser-scattering technology. Built with a weather-proof radiation shield for reliable outdoor performance, it is ideal for weather stations, environmental monitoring, smart cities, and air-quality analysis networks.
This RS485 air quality sensor is engineered for accurate, continuous outdoor monitoring of CO₂, PM2.5, and PM10 particulate concentrations. Using a combination of NDIR infrared technology for CO₂ and high-precision laser scattering for particulate matter, it delivers stable, real-time environmental data suitable for meteorology, smart city deployments, agriculture, and industrial environmental monitoring.
A weather-proof radiation shield protects the sensing elements from UV exposure, direct sunlight, and rain, ensuring measurement stability and preventing sensor drift caused by environmental stress. Internal temperature compensation improves CO₂ accuracy across varying conditions, while the laser-based PM sensors capture fine particles with high resolution down to 1 μg/m³.
Designed for integration into RS485/Modbus systems, this sensor connects easily to weather stations, data loggers, PLCs, and IoT gateways. With a wide supply voltage range, low power consumption, and multi-parameter sensing, it offers a robust, long-life solution for comprehensive outdoor air-quality monitoring.
CO₂ Sensor (NDIR)
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Range: 0–5000 ppm
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Accuracy: ±3% F.S @ 25°C
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Resolution: 1 ppm
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Operating Temperature: 0°C to 50°C
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Operating Humidity: 0–95% RH (non-condensing)
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Technology: NDIR with internal temperature compensation
PM2.5 / PM10 Sensor (Laser Scattering)
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Range: 0–1000 μg/m³
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Accuracy: ±3% F.S @ 25°C
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Resolution: 1 μg/m³
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Operating Temperature: –30°C to 50°C
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Operating Humidity: 15–80% RH (non-condensing)
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Technology: Laser beam scattering
Electrical
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Power Supply: DC 7–24 V
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Interface: RS485
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Power Consumption: ~50 mA @ 12 V
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Preheat Time: ~3 minutes
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