Electronic System for Real-Time Indoor Air Quality Monitoring
Felix–Constantin Adochiei, Serban Teodor Nicolescu, Ioana-Raluca Adochiei, George Serițan, Bogdan–Adrian Enache, Florin-Ciprian Argatu, Diana Costin
Abstract
Since the general population spends approximately 90% of their lifetime indoors, indoor air quality has a direct impact on human health, comfort, and performance. In this paper we propose an indoor air quality monitoring system (IAQMS) capable of performing real-time measurements of a wide range of ambient air parameters like CO, CO <sub xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">2</sub> -equivalent (CO <sub xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">2</sub> eq), EtOH, H <sub xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">2</sub> , H <sub xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">2</sub> S, NO <sub xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">2</sub> , O <sub xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">3</sub> , PM <sub xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">1.0</sub> , PM <sub xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">2.5</sub> , PM <sub xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">4.0</sub> , PM <sub xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">10</sub> , RH/T, Rn, SO <sub xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">2</sub> , typical PM size, (TPS) and total VOCs (tVOCs). The data generated by the 8 detectors of the system is processed by an Arduino Mega 2560 REV3 microcontroller, sent via the ESP-01S Wi-Fi module to the Blynk server, and then displayed within the iOS/Android Blynk mobile app using three visualization techniques: line charts, gauges, and numerical values. Based on the data, stakeholders could make informed decisions regarding the necessary actions to undertake to improve their indoor air quality.