Meet "Atmosphere", an intelligent weather data processor for outdoor and indoor appliances. It is such a system that aims to tie location to weather. The key to this is technology based on neural networks and predictive analytics.
"Atmosphere" is a graph of the most current changes in the local weather for a period from 15 minutes to 12-16 hours for a given square of 2x2 km.
How does it work
We collect data from satellites and international climate services, combining it with statistics on the history of weather changes and general forecasts. Moreover, we receive data from our arrays of sensors, and smartphones provide us with information about the level of pressure at a certain location. With predictive analytics, the neural network analyzes collected data and provides on-site weather prediction and consulting for specific users.
"Atmosphere" arrays of sensors are the basis of the local weather prediction. Due to the analysis of weather indicators from external and own resources, the neural network will provide on-site data at each point within 200 meters within which devices are installed.
It is important to underline that the set of sensors dramatically relies on the field of application and even on the specific project system is implemented. Therefore, devices can be equipped with the following sensors
- Wind speed and direction
- CO2 level
- Air quality
- Atmospheric pressure
Meanwhile, the software takes the form of an application. The interface and functional parts are both changeable depending on the field of application.
For users, there will be an app with mobile predictions and advice, which are based on weather indicators and even health data. Business is a different case because service requires different variations. Functional and visual parts depend on the field of application and set of data analyzed by the system.