PAL2v Indoor Air Quality Estimator

Abstract

This study investigated the application of paraconsistent annotated logic with annotation of 2 values (PAL2v), embedded in an ESP32 microcontroller and using data from MQ series sensor to monitor air quality in indoor environments. PAL2v was also used to reduce the noise of the signals provided by the sensors (PAL2v Filter), reducing the ripple and facilitating the classification of emission levels according to established environmental standards. The system worked reliably during the tests and was able to detect low air quality faster. Graphic and intuitive display of results can help people respond early to harmful pollutants, which supports better comfort, health, and safety, and can be useful for intelligent residential and urban automation systems.