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Personal Air-Quality Monitoring with Sensor-Based Wireless Internet-of-Things Electronics Embedded in Protective Face

Lajos Kuglics¹, Attila Géczy^1,2, Karel Dusek²

¹Department of Electronics Technology, Faculty of Electronic Engineering and Informatics, Budapest University of Technology and Economics, H-1111 Budapest, Hungary.

Sensors (Basel, Switzerland)

|April 27, 2024

Summary

This study developed a compact, low-power air quality monitor for face masks, enabling efficient respiration monitoring and urban zone detection. The device integrates a BME680 sensor cluster and wireless IoT capabilities, maintaining mask filtration efficiency.

Keywords:

IoT air quality embedded electronics face mask sensors wearable

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Area of Science:

Environmental Science
Sensor Technology
Public Health

Background:

Personal air quality monitoring is crucial for urban dwellers.
Integrating sensors into personal protective equipment presents unique challenges.
Existing solutions often lack miniaturization and low power consumption for practical urban use.

Purpose of the Study:

To design and develop a retrofittable, sensor-based personal air quality monitoring device for face masks.
To evaluate the device's integration with different mask types (medical, FFP2) and its impact on filtration efficiency.
To explore the potential for respiration monitoring, urban altimetry, and zone detection using dual-sensor data.

Main Methods:

Development of a sensor node using a BME680 environmental sensor cluster and a wireless IoT unit.
Integration of the sensor node into medical and FFP2 masks.
Validation of mask filtering efficiency using a head model and particle counter.
Comparison of inward and outward sensor data (temperature, pressure, humidity, AQI).

Main Results:

The FFP2 mask maintained its protective filtering aspect after sensor node integration.
Dual-sensor data (inward/outward) enabled efficient respiration monitoring.
Characteristic signals for urban altimetry and zone detection were identified from recorded data.
The device demonstrated low power consumption suitable for practical urban application.

Conclusions:

The developed sensor-based device is a viable tool for personal air quality monitoring in urban environments.
Integration into FFP2 masks is feasible without compromising respiratory protection.
The dual-sensor system offers novel capabilities for health monitoring and smart city applications, supporting Sustainable Development Goals 3 and 11.