jasmine-maryj / aqms

This repo, Air Quality Monitoring System (AQMS), measures air quality using sensors and predicts air quality using a machine learning model.

AQMS

This project implements the air quality monitoring system based on state-of-art Internet Of Things techniques. In this system, portable sensors collect air quality information timely and the ambient temperature and humidity. It will display the sensed data in a user-friendly format on an LCD and Thing Speak Cloud.

Pre-requisites

Software Requirements

1. ThingSpeak IOT Cloud
2. Arduino IDE
3. Libraries -> Sensors Libraries such as DHT.h, WiFi.h, and LiquidCrystal_I2C.h -> Machine Learning libraries such as numpy, pandas, matplotlib, seaborn, tkinter, sqlite3
4. Visual Studio Code

Hardware Requirements

1. Temperature and Humidity Sensors
2. WiFi Module
3. LCD
4. Jump Wires
5. Power Cables

Build and Installation

1. Install and download Arduino IDE, then download all the sensor libraries in Arduino IDE
2. Clone this project, open air_dht.ino with Arduino IDE.
3. Since we are using ESP32, select esp32 board
4. Download POM3 and add it to the Driver Manager if you don't have one. Select port and add POM3 port.
5. Create a channel in ThingSpeak Cloud and add fields for Humidity, Temperature, Co, and NH3.
6. Configure WiFi password and ThingSpeak IOT Cloud channel key.
7. Click on the Serial monitor to show WiFi connection establishment logs details and sensor values.

To access the corresponding blog post, you can find it at the following this link:iot-based-air-quality-monitoring-system