Managing air quality monitors (AQM) in buildings is not always an easy task especially if you have deployed a lot of them. When there are many rooms that you have to take into consideration it can become very costly, very fast to equip all those rooms. Is there a way to monitor rooms without an AQM?
Well, it turns out there is a way to monitor the environmental and air quality conditions in rooms that do not have physical monitors nowadays. How?
Ethera Labs, which is a French company, with over 10 years of experience in professional IAQ solutions has integrated powerful Machine Learning (ML) algorithms that predict the conditions in rooms where air quality monitors are not installed, yes that’s right, you have read correctly. They have trained special neural networks by taking a lot of parameters into consideration in order to predict accurately the conditions and alerts users in case they need to take actions or even address an AQ/Environmental incident automatically.
By connecting the station to BMS, they manage to achieve energy efficiency while directly managing the ventilation system, as well as portable air purifiers or giving building operator the right information in advance so they can take action at the right time. They achieve two goals, great air quality and energy efficiency.
Hardware-wise Ethera Labs offers an arrange of monitors that can address different building specifications and needs. In this article, I will review the Mini XT Basic (MX-KIT020) and the NEMo Cloud/Supervision Cloud platforms.
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