Overview / Usage

To give the design and implementation of a system for air quality monitoring using Internet of Things known as IoT. The model we have implemented is to check the presence of various gases in air which can and can’t be detected by human nose. The collected data is then transferred or monitored to the internet using MQTT (Message Queue Telemetry Transport) protocol. The monitored data with date and time can be retrieved in tabular form for future analysis to perform different types of analyzation or for making predictions using Machine Learning and Artificial Intelligence. It alerts the user from bad air quality and its harmful effects on their health as well on environment. This system is even compatible for informing the user if there is a leakage combustible gas such as LPG (Liquid Petroleum Gas) or any harmful VOCs (Volatile Organic Compound) .

Methodology / Approach

Raspberry Pi is used to collect and send the data back and forth from the MQ and DHT series sensors

Cloud will be used for the storing and processing of data to create results, say AI and ML will be performed in the cloud

The result will be displayed to the user via the Web App or Mobile App in real-time.

Technologies Used

Raspberry Pi

MQ series Sensors

Amazon or any Cloud Service say DigitalOcean

DHT Sensors

Python

NodeRED

NodeMCU / ESP8266 or Arduino Uno can also be used

LCD for the Data Display

Other links

• Demo Video