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Ultrasonic 9-in-1 RS485 Weather Sensor for Arduino (Wind, Rain, Temp, Light, Noise)
Introduction
Unlock comprehensive environmental insights with a single, robust device. The Ultrasonic RS485 9-in-1 Weather Station Sensor delivers precise data on nine critical meteorological parameters (wind speed, wind direction, air temperature, relative humidity, atmospheric pressure, light intensity, noise levels, PM2.5, and PM10), eliminating the need for multiple individual sensors. Ideal for Arduino projects, agricultural management, and smart city applications, it provides a complete picture of local weather conditions.
Comprehensive & Accurate Multi-Parameter Sensing
Obtain a complete and precise environmental overview with this all-in-one sensor. It simultaneously measures ultrasonic wind speed, wind direction, air temperature, relative humidity, atmospheric pressure, light intensity, noise levels, PM2.5, and PM10 particulate matter. The advanced ultrasonic technology for wind measurement ensures superior accuracy and durability with no moving parts, minimizing wear, eliminating on-site calibration needs, and offering reliable performance even in strong winds for lower maintenance and extended service life.
Figure: High Accuracy Optical Tipping Bucket Rain Gauge
Robust Design for Reliable Outdoor Deployment
Engineered for resilience in diverse conditions, this sensor features a UV-resistant and waterproof ABS polymer plastic housing (IP54 rated). This durable construction ensures dependable operation in harsh outdoor environments. Coupled with a wide DC10~30V power supply input range, it offers significant installation flexibility across various applications, from agricultural fields to urban monitoring stations.
Figure: RS485 Weather Station with IP54 Waterproof ABS Housing
Seamless Integration & Data Communication
Benefit from stable, long-distance data transmission using the industry-standard RS485 interface and Modbus-RTU protocol. This allows for straightforward integration with PLCs, data loggers, and IoT platforms like LoRaWAN for remote cloud-based monitoring. Furthermore, an Arduino example tutorial is provided, simplifying setup and enabling rapid performance verification for quick project deployment.
Figure: RS485 Weather Station Detect 9 Critical Meteorological Parameters
Applications
Specification
Wind Speed: 0~40 m/s (Startup: 0.5 m/s)
Wind Direction: 0~359°
Humidity: 0~99%RH
Temperature: -40°C ~ 80°C
Atmospheric Pressure: 0~120 kPa
Light Intensity: 0~200,000 Lux
Noise: 30~120 dB
PM2.5: 0~1000 µg/m³
PM10: 0~1000 µg/m³
Wind Speed: ±(0.5+2%FS) (Conditions: 60%RH, 25°C)
Wind Direction: ±3° (Conditions: 60%RH, 25°C)
Humidity: ±3%RH (Conditions: 60%RH, 25°C)
Temperature: ±0.5°C (Conditions: 25°C)
Atmospheric Pressure: ±0.15 kPa (Conditions: 101kPa, 25°C)
Light Intensity: ±7% (Conditions: 25°C)
Noise: ±0.5 dB (Reference: 94dB@1kHz)
PM2.5: Particle Counting Efficiency: 50%@0.3µm, 98%@≥0.5µm; Accuracy: ±3%FS (@100µg/m³, 25°C, 50%RH)
Wind Speed, Wind Direction, Humidity, Temperature, Noise: ≤1s
Atmospheric Pressure, Light Intensity: ≤2s
PM2.5, PM10: ≤90s
Humidity: ≤1%
Temperature: ≤0.1°C
Atmospheric Pressure: -0.1 kPa
Light Intensity: ≤5%
Noise: ≤3 dB
PM2.5, PM10: ≤1%