Air quality monitoring system for indoor environments using IoT

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Abstract
In this work, we have used an IoT based approach along with required mathematical formulae to ascertain the quality of air in different indoor environments. By using the concept of an embedded technology, various sensors are connected to collect the data in different environments. The cloud technology is used for storing the sensed data. This collected data is stored in the information cloud and then inquired for the analysis of any environmental condition. This model is used to record and analyze such data in ThingSpeak. ThingSpeak is an analytic data platform for which IoT can be used as aggregation, visualization and analysis of live data steam in cloud. Moreover, Python codes are written for different mathematical formulae which are used in the ThingSpeak to check the environment condition. It has been observed that the graphical representation of environmental parameters in ThingSpeak gives the basic idea about the environment condition of that particular region.

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