Abstract
It is critical to keep essential air pollutants within the World Health Organization's (WHO) prescribed levels in order to counteract the rising number of people killed by the accompanying health concerns. This is particularly true in enclosed spaces, wherein poor ventilation can amplify the impacts of pollutants. Knowing the amount of contaminants in the air would be a good starting point for taking measures to mitigate. This paper proposes a domestic air pollution monitoring system based on the Internet of Things framework. Two CO2 and PM2.5 sensor that are essential for air pollution monitoring with adjusted air quality forecasting are being sent to the cloud via a LoRaWAN protocol compatible gateways that connects the sensor to the server side of the network. The designed Web-based user interface dashboards enable the users to query the system and retrieve data as well as analytical data. Baseline techniques are designed and deployed to make it easier to configure triggers for each sensor node and transmit notifications when a measured parameter surpasses a defined threshold value.
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