IoT & AI-Based Air Quality and Pollution Monitoring System using PM2.5 and Gas Sensors

Description

Highly Recommended for Major Project, Capstone, Research, Industry 4.0 Exhibition, or Smart Grid Applications.

Introduction

Air pollution has become one of the most critical environmental challenges worldwide, affecting human health, climate, and ecosystems. Rapid urbanization, industrialization, vehicle emissions, and indoor pollutants have significantly increased the concentration of harmful gases and particulate matter in the atmosphere.

Fine particulate matter such as PM2.5 (particles ≤2.5µm) is particularly dangerous as it penetrates deep into the lungs and bloodstream, causing respiratory diseases, cardiovascular issues, and long-term health complications. Similarly, gases like carbon monoxide (CO), methane (CH₄), ammonia (NH₃), and volatile organic compounds (VOCs) contribute to poor air quality and hazardous living conditions.

Traditional air quality monitoring systems are expensive, bulky, and limited to specific locations. They lack real-time accessibility and are not suitable for widespread deployment in smart cities or residential environments.

This project introduces an IoT-Based Air Quality & Pollution Monitoring System that continuously monitors environmental parameters using multiple sensors and transmits real-time data to the cloud for analysis and visualization.

• According to WHO, 99% of the global population breathes polluted air exceeding safe limits.

• Air pollution causes approximately 7 million premature deaths annually worldwide.

• PM2.5 exposure is directly linked to lung cancer, stroke, and heart disease.

• Urban pollution levels in many cities exceed safe AQI limits by 5–10 times.

• Indoor air pollution can be 2–5 times more harmful than outdoor air.

Early air quality monitoring relied on manual sampling techniques and laboratory analysis, which were time-consuming and lacked real-time insights.

• 1950s–1970s: Basic gas analyzers introduced for industrial monitoring

• 1980s–2000s: Automated monitoring stations with limited remote access

• Modern Era: IoT-enabled smart sensors provide real-time, cloud-based monitoring

The integration of IoT and embedded systems has revolutionized environmental monitoring by enabling continuous, scalable, and cost-effective solutions.

Objectives

• To monitor PM2.5 dust levels (µg/m³)

• To detect harmful gases using MQ135 and MQ5 sensors

• To measure environmental conditions (temperature & humidity)

• To display real-time data on LCD

• To upload data to cloud (ThingSpeak)

• To support smart city and environmental applications

Block Diagram

🔧 HARDWARE COMPONENTS

1. Microcontroller (Arduino UNO / ATmega) ×1
2. ESP8266 WiFi Module ×1
3. MQ135 Air Quality Sensor ×1
4. MQ5 Gas Sensor ×1
5. PM2.5 Dust Sensor ×1
6. DHT11 Temperature & Humidity Sensor ×1
7. 16×2 LCD Display ×1
8. Buzzer ×1
9. Power Supply (5V)
10. 3.3V Regulator (for ESP8266)

💻 Software

1. Arduino IDE
2. Embedded C Programming
3. ThingSpeak IoT Cloud Platform

⚡ Methodology

The system operates by continuously collecting environmental data from sensors:

• PM2.5 Sensor → Measures dust concentration in µg/m³

• MQ135 Sensor → Detects air quality gases (CO₂, NH₃, VOCs)

• MQ5 Sensor → Detects LPG, methane, combustible gases

• DHT11 Sensor → Measures temperature and humidity

The microcontroller processes all sensor data and:

• Displays values on LCD

• Compares readings with predefined thresholds

• Activates buzzer if unsafe conditions are detected

• Sends data to ThingSpeak via ESP8266

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How Ai will will work in this Project 

✔ Trend analysis (data pattern over time)
✔ Prediction (future air quality / AQI)
✔ Anomaly detection (sudden pollution spike detection)
✔ Cloud analytics (ThingSpeak MATLAB / Python ML)

data = thingSpeakRead(YOUR_CHANNEL_ID,’Fields’,1,’NumPoints’,5);

% Check if continuously increasing
if all(diff(data) > 0)
disp(“⚠️ Pollution Increasing Trend Detected”);
else
disp(“✅ Stable”);
end

AQI Prediction (Advanced)

You can:

• Convert PM2.5 → AQI

• Predict AQI category

Example:

👉 If pollution is continuously rising → Alert

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🏷️ Title Suggestions

1. IoT-Based Air Quality Monitoring System using PM2.5 and Gas Sensors
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5. Intelligent Air Quality Monitoring System for Smart Cities
6. Low-Cost IoT Air Pollution Monitoring using ThingSpeak
7. Advanced Environmental Monitoring using IoT and Sensors
8. Smart IoT System for Air Quality Analysis and Alert

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Contact us:
👨🏼‍🏭 Dr. Vipin Kumar Sharma
🎓 Ph.D., M.Tech, B.Tech (ECE), C.E, D.E NS.
👨‍🏫 Lecturer | 🚀 Researcher | 🤖 Robotics | 🌐 IoT

📱 WhatsApp (Direct Support) Hindi/ English Language

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