proposal ihuzo

learnerID: ICT202495733
NAMES: Uzigusenga Josue
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 efforts.
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 finalize 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 configuration 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 refinement.
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 configuration 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
efforts.