IoT-Based Indoor Environmental Air Quality Monitoring System (CO₂, VOC, Dust) Using ESP 32

May 19, 2026

An IoT-based indoor environmental air quality monitoring system is presented using an ESP32 microcontroller to measure and analyze key air parameters: carbon dioxide (CO₂), volatile organic compounds (VOC), and dust (particulate matter). Dedicated sensors detect pollutant concentrations, while collected data is processed by ESP32 and shown in real time on an LCD. IoT connectivity enables remote viewing through mobile or web interfaces. Alerts are generated when values exceed preset thresholds, supporting early identification of unsafe indoor air and helping reduce health risks. The approach is cost-effective for homes, offices, and educational institutions.

LanguageEnglish

CategoryResearch & Report

FormatPDF

Pages6

Reading Time15 min

I. INTRODUCTION

2 REVIEW LITERATURE SURVEY

3 RESEARCH METHODOLOGY

FAQs

What air quality parameters does the system monitor?

The system monitors carbon dioxide (CO₂), volatile organic compounds (VOC), and dust/particulate matter using integrated sensors.

How does the ESP32 microcontroller use sensor data?

ESP32 processes the detected sensor concentrations and provides real-time readings via an LCD display, while also supporting data transmission through IoT connectivity.

How are alerts triggered and what do they enable?

When pollutant levels exceed predefined threshold values, the system generates alerts to notify users, enabling timely actions such as ventilation or air purification.

May 19, 2026

Upload by Olivia Brown