Abstract
This work presents a multigas monitoring system based on the ESP32-S3 platform for indoor air quality assessment. The aim is to evaluate IoT-based sensing capability for detecting VOC variations linked to human activity and emission sources. The system integrates a heterogeneous sensor array (BME688, ENS160, SGP40, SHT40, ZMOD4410) for VOC, estimated CO2, AQI, temperature, and humidity monitoring. Data acquisition and processing are performed using an ESP32-S3 within an IoT framework enabling wireless transmission. Measurements were conducted in a controlled laboratory over one week with a 10 min sampling interval. Results show stable baseline conditions during non-occupancy periods. Significant VOC variations are observed during working days, especially during soldering activities. Controlled combustion and aerosol release also produce detectable responses. Temperature and humidity remain stable (25–26 °C), confirming environmental consistency. The system effectively distinguishes between baseline, occupancy, and high-emission events. These results support its use for real-time indoor air quality monitoring and early detection of environmental degradation.
