R-NOX Air Quality Monitoring System

Full stack service that provides accurate environmental data, analytics,predictions, reporting.

It includes low-cost sensor network and cloud-based platform for real-time analytics of air quality in the sanitary protection zone, fugitive emissions, gas leaks.

Do you face with:

  1. Frequent Citizens complaints?
  2. High environmental taxes?
  3. Heavy fines?
  4. High costs of traditional monitoring?
Contact us

We have solution —
R-NOX Monitoring System

low-cost sensor network for constant air quality monitoring

  1. Real-time monitoring of CO, NO2, SO2, O3, PM1, PM2.5, PM10 (can be expanded with other sensors);
  2. Automatic data acquisition, validation and reporting;
  3. Analytics and visualisation of received data (real-time dashboards);
  4. Prediction of high-risk situations;
  5. Fast detection, provides alarms at given limit levels;
  6. Remote devices control and callibration.

Analytical Platform

Cloud-based platform for real-time analytics processing.

  1. Simultaneous data collection from multiple locations;
  2. Real time measurement results;
  3. Emission differention from nearby pollution sources;
  4. Air pollution dispersion modelling;
  5. High-risk situation forecasting;
  6. Suggestions for emission optimization.

monitors are deployed in large numbers across the factory and generate more accurate data

real time analytical dashboard can be customized for your needs

5-10 years


  1. Relationship with citizens/government improvement
  2. Provide citizens and government with accurate and accessible data 24/7.
  3. Environmental taxes reduction
  4. The tax may be reduced by the amount of capital investments that have been disbursed.
  5. Heavy penalties avoiding
  6. Real-time analytics help to control emission and allows to avoid incidents before they occur.
  7. Money saving
  8. Need for costly gas sampling equipment can be removed.
  9. Automated reporting
  10. Environmental engineer’s workload can be reduced.
  11. Disputable situation avoiding
  12. Emission can be differentiated from nearby pollution sources.
  13. High-risk situations forecasting
  14. Air pollution diffusion on nearby communities can be prevented by predictive modelling.

Want to try?