An IoT Based System for Detection of Formaldehyde Using CH2O Sensor in Ambient Air

Abstract

Formaldehyde is one of the hazardous components found in the ambient air. Moreover, Formaldehyde is one of the key components of Volatile Organic Compound (VOC) that has significant health implications. This Formaldehyde is mainly released by industries and vehicles plying on the road. Continuous exposure to Formaldehyde results in a range of adverse effects, that includes respiratory irritation, eye and skin irritation, and even cancer also. For ensuring public health and safety, Monitoring of formaldehyde levels in ambient air is apparent. The framework presented is a comprehensive investigation for the detection of Formaldehyde in ambient air that utilizes the CH₂O sensor Module, an ESP32 microcontroller, and AWS cloud services. This study investigates how well this integrated system performs real-time monitoring, facilitates accurate Formaldehyde concentration measurements, and allows for effective data processing. The presented work explores the experimental setup, technique, results, and discussion, emphasizing the main takeaways and possible uses of this novel approach to air quality monitoring. The system has the ability to store, analyse, and visualize data on Formaldehyde concentrations by utilizing AWS cloud services. This allows researchers and environmental organizations to obtain important insights into trends in air quality and pinpoint possible sources of pollution. In addition to improving safety and health, this integrated system provides a viable option for Formaldehyde monitoring that is economical, effective, and scalable.