Sailbri Cooper’s SCI-608 is a low cost air quality monitoring solution designed for accurate highly time resolved measurement of criteria pollutant levels. The SCI -608 utilizes state of the art sensor technology enhanced with a machine learning calibration system and a convenient cloud-based data acquisition and visualization system. The monitor has been extensively field tested, is easy to install and can provide the user with real time data within minutes of setting up.
Applications
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Real Time Alternative to Samplers
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Smart Cities
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Pollution Source Identification and Locating
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Traffic Pollution Monitoring
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Industrial Fence Line Monitoring
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Emergency Monitoring
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Air Quality Model Validation
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Community Based Monitoring
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Pollution Migration Mapping
Specifications
Measurement Performance
Pollutant Detection
Principle
Units Range Detection Limit Resolution
SO2
Electrochemical
Sensor
ppb 0 ~ 500 5 0.01
NO2 ppb 0 ~ 500 5 0.01
CO ppm 0 ~ 50 0.05 0.01
O3 ppb 0 ~ 500 5 0.01
PM10
Light Scattering
µg/m3 0 ~ 1000 5 1
PM2.5 µg/m3 0 ~ 1000 5 1
Power Supply DC 12V, Solar
Power Consumption Less than 3 watts
Operating
Temperature Range -20 to 55 oC
Atmospheric
Pressure 645 to 795 mmHg
Relative Humidity 15 to 90%
Communication
GPRS
(2G/3G/4G),
RS232
Size 220 x 220 x 300
mm
Weight 2.6 kg (5.75 lbs)
Software
Cloud: For instrument and data
management. Runs on secure
servers accessed via web browser
Mounting Pole Mounting
Bracket Included
Sensor Quality Control
Sensor instruments have a rigorous three stage quality assurance and calibration process. In the first stage
each individual sensor is challenged with standard gases to screen out low performing sensors. The second
stage involves generating calibration files unique to each sensor unit using a custom machine learning
algorithm and the sensor’s response to complex pollutant mixtures, varying temperature and varying humidity
in a controlled test chamber. Once in the field, sensors can be periodically recalibrated with neural networking
algorithms to improve sensor response to complex ambient conditions. This cloudbased calibration can be
done automatically during field deployment using existing reference method monitors or with portable
instruments.
