AULASICURA is an innovative indoor air quality monitoring system specifically designed for educational settings (school, universities, etc) capable to improve air renewal rates in school classrooms and lowering the risk of indirect transmission of viral diseases (such as SARS-CoV2) through the optimization of natural and mechanical ventilation cycles. It is based on centralized data management from IoT sensors and interactive signaling to the occupants (including alerts for opening windows and doors). Based on continuous readings of ambient IAQ concentration data (in particular excess CO2), advanced mathematical models and interactive on-field signaling, AULASICURA alerts occupants when and for how long it is appropriate to open the windows or turn on an air purifier or a mech. ventilation system in so called "hybrid mode" to assure always optimal air renewal, thermal comfort and low contagion risk. Moreover, the last version of AulaSicura based on IA algorithms is able to automatically decide when natural or mechanical ventilation is more appropriate at that specific day. The concept is supported by recent scientific research published in prestigious international journals.
The complex statistical mathematical model (which elaborates also the number of occupants in real time) alert when it is time to open the windows or mechanically ventilate the classroom. Complex algorithms ensure a correct estimate of the ventilation rates of that specific classroom during that specific day, from the continuos CO2 measurement.
AULASICURA is also suitable for professional long-term IAQ monitoring and climatic data collection at building as well asurban district scale able to integrate data from thousands of sensors thanks to the LoRaWAN® data transmission protocol.
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