In conjunction with traditional monitoring, Platform “Digital air” provides complex
monitoring on the hyperlocal level that provides more accurate, reliable and
ubiquitous data, as pollution varies so heavily from street to street, and by an
hour and even a minute, it’s critical to monitor and forecast it with the greatest
accuracy and spatial resolution.
AirNode Network – high-density air monitoring network, including R-NOX AirNode clusters and meteorological.
Imported data – open source data (satellite, weather, traffic, data from state stationary monitoring posts) + customer data.
The module is responsible for data receiving from R-NOX AirNode Network and external sources, for it’s storage and processing.
It’s the atmospheric physics and chemistry model based on the open-source Weather Research and Forecast model and imported data.
Machine learning and artificial intelligence
The module is designed to provide algorithms for compensation of the disturbing environmental factors from the sensors, air quality forecasting, simulating the atmospheric flows and dispersion.
Monitoring – Monitor air quality in real-time and get 48-hour forecast so you can avoid incidents, and plan ahead for times ofhigh risk.
Modelling — Identify the source of ollution in real time or retrospectively with reverse trajectory modelling.
Simulation — Run hypothetical scenarios to simulate how decision can influence on the air quality in short/long terms.
Full-stack solution (hard+soft+analytics)
Real-time monitoring 24/7 with a set averaging
Warnings about high level of pollutants in the air
Air quality forecasting for 48 hours
Pollution source identification in the real-time/retrospectively
Air quality changes simulation tool
Determination of individual sources contribution to air pollution
Evaluation of environmental activities impact
Improving citizens environmental safety;
Minimization of social and economic losses from air pollution/emergency situations;
Effective work with enterprises-contaminators;
Effective city management (planning new areas, roads);
Effective environmental management;
Improving healthcare efficiency.
Effective management of operating modes of air purification equipment and operating equipment;
Reductions of claims from monitoring authorities and civils.
Ecological hazard level reduction in public places (it’s important for children and people with chronic diseases);
“Clean routes” driving by car, bike, on foot.