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PRODUCT SPECIFICATION SHEET
MODULAIR
Overview
MODULAIR provides real-time estimates of particulate matter (PM1, PM2.5, PM10), the underlying particle size distribution, and up four gas-phase pollutants (CO, NO, NO2, O3). Each unit is internet connected and paired with the QuantAQ Cloud. MODULAIR is easily deployed as a standalone unit or as part of a distributed air quality sensor network. Available add-on accessories include meteorological measurements (wind speed and wind direction via a sonic anemometer) and a standalone solar and battery solution to allow off-grid use.
A pdf version of this data sheet can be found here.
Features
✅ 2+ years on-board data storage
✅ Full access to all raw sensor data
✅ No co-location or remote calibration required
✅ 1 minute time resolution (cloud); 5 second time resolution (on-board)
Air Quality Measurements
| PARAMETER | RANGE | ACCURACY |
|---|---|---|
PM1, PM2.5, PM10 | 0 to 2,000 µg/m3 | See below. |
Particle size distribution | 0.35 to 40.0 µm (24 bins) | Not yet determined. |
Ozone (O3) | 0 to 500 ppb | 5 ppb or 20% |
Carbon Monoxide (CO) | 0 to 13,000 ppb | 40 ppb or 20% |
Nitrogen Oxide (NO) | 0 to 5,000 ppb | 5 ppb or 20% |
Nitrogen Dioxide (NO2) | 0 to 5,000 ppb | 6 ppb or 35% |
Temperature | -40 to 85 C | +/- 0.2 C |
Relative humidity | 0 to 100% | +/- 2% |
Measurement Error
Particulates
| TIME INTERVAL | PM1 | PM2.5 | PM10 |
|---|---|---|---|
5min | R2 = 0.875 CV = 0.30 MAE = 2.9 µg/m3 | N/A | N/A |
1h | R2 = 0.899 CV = 0.29 MAE = 2.8 µg/m3 | R2 = 0.936 CV = 0.14 MAE = 1.3 µg/m3 | R2 = 0.810 CV = 0.32 MAE = 7.6 µg/m3 |
24h | R2 = 0.919 CV = 0.26 MAE = 2.4 µg/m3 | R2 = 0.967 CV = 0.12 MAE = 1.2 µg/m3 | R2 = 0.874 CV = 0.31 MAE = 7.6 µg/m3 |
*All statistics were determined via co-location experiments with research and/or regulatory-grade instruments such as the TSI SMPS or Teledyne T640 in environments across the United States. 5-min data was not available for PM2.5 or PM10 due to limitations of the reference instruments. The coefficient of determination (R2) describes how well the MODULAIR-PM predicts the desired outcome. The mean absolute error (MAE) describes the measure of error between the observed and predicted values. The coefficient of variation (CV) of the mean absolute error can be thought of as a 'percent error' as a function of the MAE. This table was last updated in April of 2021.
Gases
| TIME INTERVAL | CO | NO | NO2 | O3 |
|---|---|---|---|---|
5min | CV = 0.16 MAE = 40 ppb | CV = 0.37 MAE = 3.1 ppb | CV = 0.48 MAE = 6.0 ppb | CV = 0.16 MAE = 4.0 ppb |
15min | CV = 0.15 MAE = 37 ppb | CV = 0.34 MAE = 2.8 ppb | CV = 0.48 MAE = 5.9 ppb | CV = 0.15 MAE = 3.9 ppb |
60min | CV = 0.14 MAE = 36 ppb | CV = 0.32 MAE = 2.6 ppb | CV = 0.47 MAE = 5.8 ppb | CV = 0.15 MAE = 3.7 ppb |
All statistics above were determined via co-location experiments with research and/or regulatory-grade instruments in realistic environments across the United States. The mean absolute error (MAE) describes the measure of error between the observed and predicted values. The coefficient of variation of the mean absolute error (CV) can be thought of as a 'percent error' as a function of the MAE. This table was last updated in April of 2021. Gases marked as "NA" do not yet have enough data to be listed. Please check back for updates.
Power and Communication
🔋 Power
5V, 2A (supply)
300 mA avg. consumption
🗼 Communication
LTE CAT-M1 (North America)
LTE CAT-M1/3G/2G (Europe)
📈 Data
Web interface (quant-aq.com)
Programmatic access (QuantAQ API)
Local Storage (µSD card)