Twitter Github QuantAQ Home
Products
Datasheets
Reference
Tutorials
© QuantAQ, Inc 2023 – V0.1.1
PRODUCT SPECIFICATION SHEET
MODULAIR-PM
Overview
MODULAIR-PM provides real-time estimates of particulate matter concentrations ( PM1, PM2.5, PM10) and particle size distribution using a novel combination of multiple light scattering-based particle sensors (patent pending). Each unit is internet-connected and paired with the QuantAQ Cloud to provide real-time data visualization and data access, team management tools, and fleet-wide sensor health diagnostics. MODULAIR-PM is designed to be used indoors and outdoors and is easily deployed as a standalone unit or as part of a distributed air quality sensor network.
A pdf version of this data sheet can be found here.
Features
✅ 2+ years on-board data storage
✅ Full access to raw particle sensor data
✅ No user intervention or regular maintenance 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. |
Temperature | -40 to 85 C | +/- 0.2 C |
Relative Humidity | 0 to 100% | +/- 2% |
Measurement Error
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.
Power and Communication
🔋 Power
5V, 2A (supply); 250 mA avg. consumption
🗼 Communication
LTE (North America)
3G/2G (Global)
📈 Data
Web interface (quant-aq.com)
Programmatic access (QuantAQ API)
Local Storage (µSD card)
Operating Specs
PARAMETER | DETAILS |
---|---|
Weatherproof rating | IP68 |
Operating temperature | -20 to 45 C |
Operating humidity | 5 to 95%, non-condensing |
Dimensions | 6.59" x 6.59" x 5.11" |
Weight | 4 lbs (1.8 kg) |
*The device contains overheat protection for the laser which will shut off when the internal box temperature reaches approximately 45C. The device will automatically recover as soon as the device cools off and the internal box temperature is reduced below 40C.