Abstract: Systems and methods for maintaining indoor air quality are disclosed. According to embodiments, air quality data measurements and associated dates/times may be received from smart sensors associated with an indoor space. Based on the air quality data detected by the smart sensors, a predictive air quality model for the indoor space may be generated, e.g., by plotting a time series for the air quality data and deriving a linear progression based on the plotted time series. A future time when the air quality for the indoor space will reach a threshold air quality level, above which an allergic or asthmatic reaction may occur in a user, may be predicted using the predictive air quality model. An indication may be displayed notifying a user that an air filter associated with the indoor space should be replaced at or before the predicted future time to prevent an allergic or asthmatic reaction.

Abstract: Systems and methods for maintaining indoor air quality are disclosed. According to embodiments, air quality data measurements and associated dates/times may be received from smart sensors associated with an indoor space. Based on the air quality data detected by the smart sensors, a predictive air quality model for the indoor space may be generated, e.g., by plotting a time series for the air quality data and deriving a linear progression based on the plotted time series. A future time when the air quality for the indoor space will reach a threshold air quality level, above which an allergic or asthmatic reaction may occur in a user, may be predicted using the predictive air quality model. An indication may be displayed notifying a user that an air filter associated with the indoor space should be replaced at or before the predicted future time to prevent an allergic or asthmatic reaction.