Abstract: In recent day situation, the continuous increase in air and sound pollution prove to be an disturbing problem. It has become compulsory to control and appropriately monitor the situation. In this work, an Internet of Things (IoT) based methodology to monitor the Air Quality Index, Noise Intensity, Temperature and Humidity of a region has been proposed. The evaluation of methodology is performed on Raspberry Pi implementation with interfacing of a web server Thing Speak that has an API for posting and reviewing the data to the channel. Python is used for programming and interfacing the Raspberry Pi with various sensors viz. temperature/humidity sensor, sound sensor and gas sensor for collecting the data. The proposed system incorporates four segments, namely, the Air Quality Index Monitoring Module, the Sound Intensity Detection Module, the Cloud based Monitoring Module and the Anomaly Notification Module. Firstly, the Air Quality Index is measured studying the presence of the five critical air pollutants. Then the sound intensity is detected using relevant sensor. The Cloud based Monitoring Module ensures the process of obtaining the data with the help of Wi-fi-module present in Raspberry Pi which fulfils the objective of analysis of information on periodical basis. Lastly, the Anomaly Notification Module alerts the user in case of an undesired condition.

Keywords: Internet of Things, Thing speak, Raspberry Pi.

| DOI: 10.17148/IJIREEICE.2021.9716