Bad air quality? Owkay… but what’s the main cause?

The iNoses provide customers with an objective and real-time image of air quality in which standard measurement techniques are insufficient or too slow.

Artificial intelligence and data analysis provide clarity about the cause of poor air quality.

This allows them to adjust processes quickly or take action more quickly in during an alarm situation.

Products

The iNose is the first artificially intelligent air quality meter and is able to read a wide variety of parameters thanks to the many internal sensors.

Firstly, the iNose is built to measure air quality outdoors. It can easily be mounted on a pole or on the side of a building. The internal GPS ensures a perfect localization.

Via WiFi or 3G, the data is sent to the online cloud platform to show, in real time, whether the air quality is good. Alarms can also be set to receive a notification as soon as the air quality is below a certain level.

Various sensors

Measuring particulate matter, nitrogen dioxide, carbon dioxide, sound volume & toxic substances make this the most complete air quality meter.

Online platform

The online platform Atlantis provides a real-time visualization of the air quality and makes it possible to set alarm levels.

IoT network

The iNose is a robust IoT device with GPS and has various communication options, which makes it possible to deploy large scale IoT networks of air quality sensors.

Low maintenance

The intelligent control of the sensors ensures little to no maintenance and/or calibration.

Toxic gases

What is unique about the iNose is its ability to recognize toxic gases (eg volatile organic compounds or VOC’s) and even make an estimate of the concentration in which it occurs (ppm).

We do this by using smart electronics in combination with a neural network trained with a large number of gases in a lab.

This makes the iNose a true AI driven sensor.

An example of the gases that the iNose can recognize are: acetone, ammonia, benzene, ethanol, hexane, methanol, propane, styrene, …

Online platform

Atlantis is an intuitive online cloud platform that is used for air quality visualization and reporting as well as for setting alarms.

Live dashboard with event registration

Visualization of sensor data and historical data

Visualization of gas clouds and forecasts in combination with wind information

Integration with external data sources via APIs (eg: meteo, AIS for ship movements, external sensors, …)

Optional sensors

Nitrogen dioxide sensor

NO2 is an important indicator of air pollution caused by traffic.

The IoT NO2 sensor offers an accurate and stable monitoring of NO2.

Applications

General indoor or outdoor air quality.

Specifications

Electrochemical sensor
Measuring range: 0 ppm – 5 ppm
Resolution: < 20 ppb
Response time: < 15 seconds
Lifetime: > 5 years (average 10 years)

Particulate matter sensor

PM1, PM2.5 and PM10 refer to particles with a particle diameter of 1 up to 10 microns and are among the most dangerous air pollutants. Because of their small size, PM1 & PM2.5 particles can penetrate deep into the human lung and cause a variety of health problems; for example by triggering asthma attacks or contributing to cardiovascular disease.

Applications

General indoor or outdoor air quality.

Specifications

Mass concentration: PM1.0, PM2.5, PM4 en PM10
Accuracy:
±10 μg/m3 @ 0 to 100 μg/m3
±10 % @ 100 to 1000 μg/m3
Resolution: 1 μg/m3
Range: 1 to 1000 μg/m3
Sampling interval: 1 sec
Lifetime: > 8 jaar

Wind sensor

The IoT wind sensor offers accurate and stable monitoring of wind speed and wind direction.

This wind sensor is useful in locations where the wind is variable due to surrounding buildings or where there is no internet stream with accurate wind data.

Carbon dioxide sensor

Carbon dioxide is an important indicator of the quality of air.

The IoT CO2-sensor offers accurate and stable monitoring of CO2, temperature and humidity.

Applications

General indoor or outdoor air quality.

Specifications

NDIR CO2 sensor technology
Measurement range: 400 ppm – 10.000 ppm
Accuracy: ±(30 ppm + 3%)
Lifetime: 15 years

Sound volume sensor

The IoT sound volume sensor offers accurate and stable sound volume measurements (dBA).

Deploying a network of sound sensors enables source detection

Specifications

Measurement range: 30dBA ~ 130dBA (A-weighting)
Accuracy: ±1.5dB
Frequency range: 31.5Hz ~ 8.5KHz
Sampling frequency: 125ms

 

Some use cases

Measuring continuous air quality

The iNoses continuously measure a number of known parameters that determine the air quality. These are for example: particulate matter, carbon dioxide, nitrogen dioxide,…

However, the iNoses also have something unique: they can recognize toxic gases. This combination makes it possible to really determine what is responsible for the bad air quality in your area.

Detecting cause of odor nuisance

By using smart algorithms and weather information, the iNoses can detect and identify complaints of odor nuisance in a very fast and efficient way.

Some examples:

  • Sewers in cities
  • Waste treatment companies
  • Chemical industry
  • Farms

Objectification is done by placing ‘learning’ iNoses close to the potential source(s) of the nuisance. Through a shared neural network, iNoses that are further down the field can recognize the specific source and assign it correctly.

Monitoring of cities, municipalities and port areas

The iNoses can be deployed as an IoT network in a city, municipality or port area. The IoT network can serve as:

  • Monitoring of air quality
  • Detection of ‘hot spots’
  • Get insight about the emissions of harmful gases and the impact on the environment
  • Early warning system for residents in the event of leaks or explosions
  • Monitor degassing of ships and containers (within the framework of European legislation)
  • Policy and law enforcement

For a government, proactive actions to improve the quality of life of local residents can contribute to creating a more positive image and, for example, if an expansion of an industrial zone is planned, create social support for this.

Follow up harmful emissions during remediation work

The iNoses can be used to identify harmful emissions and, if necessary, alert people. Some examples are:

  • Follow up emissions during extraction of shale gas
  • Monitoring emissions and early warning on remediation sites

Some references

Testimonials

The iNoses helped us to monitor the impact of critical soil remediation on the environment.

Bert Van Goidsenhoven

Contact

Qweriu BVBA
Gistelsesteenweg 294 box 205
8200 Sint-Andries (Bruges)
Belgium

Tel +32 50 68 30 54
Mail info@qweriu.com

 

Qweriu is a spin-out of dotOcean, a high-tech company specialized in maritime robotics and cloud solutions.

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