IoT Air Pollution Monitoring System Project Proposal

Project Proposal: IoT System for Air Pollution Monitoring
1. Introduction
This project proposes the development of an Internet of Things (IoT) system for
monitoring air pollution. The system will utilize a NodeMCU microcontroller, Arduino
Uno, and various sensors to collect real-time air quality data. The collected data will be
uploaded to a cloud platform for remote access and visualization.
2. Project Idea
The project aims to create a portable air quality monitoring system that can be deployed
in various locations. Users can remotely access and analyze the collected data to
understand air quality variations. This information can be used for environmental
research, personal health awareness, and pollution control eorts.
3. Project Objectives
1. Design and build an IoT system for air pollution monitoring.
2. Integrate sensors (MQ135, MQ7, DHT22) to measure air quality parameters (CO2,
CO, NH3, Ozone, Temperature, and Humidity).
3. Utilize a NodeMCU microcontroller for data processing and communication.
4. Upload collected air quality data to a cloud platform (ThingSpeak, Adafruit IO, Blynk).
5. Develop a user interface for remote data visualization and access.
4. Project Requirements Hardware Components:
1. 1x NodeMCU microcontroller
2. 1x Arduino Uno
3. 1x MQ135 sensor (CO2, CO, NH3)
4. 1x MQ7 sensor (Ozone)
5. 1x DHT22 sensor (Temperature & Humidity)
6. 1x LCD 16x2A display
7. 1x Breadboard Solderless
8. Jumper Wires (as needed) [Female(10),Male(10), Male-Female(10)]
9. 1x 10K-Ohm Potentiometer
Software:
1. Arduino IDE (Integrated Development Environment)

2. Cloud platform account (ThingSpeak, Adafruit IO, Blynk)
5. Project Timeline
Day 1:
1. Research and nalize sensor selection based on target pollutants.
2. Familiarize with NodeMCU and the chosen cloud platform.
3. Develop basic code for sensor data acquisition and processing.
4. Familiarize the working and conguration of Arduino Uno.
Day 2:
1. Implement data transmission to the cloud platform.
Day 3:
1. Design a user interface for data visualization on the cloud platform.
Day 4:
1. System testing and renement.
Day 5
1. Prepare project documentation and presentation.
Note: This is a rough timeline and may be adjusted based on project complexity and
unforeseen challenges.
6. Introduction to Project Documentation
Detailed project documentation will be maintained throughout the development process.
This documentation will include:
1. Project proposal outlining objectives, requirements, and timeline.

2. Circuit schematics for sensor and module connections.
3. Arduino code with explanations and comments.
4. Cloud platform conguration details.
5. Project testing results and troubleshooting steps (if applicable).
7. Conclusion
This project provides an opportunity to gain hands-on experience with IoT technology and air
pollution monitoring. By successfully building this system, we can contribute to a better
understanding of air quality variations and potentially contribute to environmental
protection eorts.