TITLE:
Enhancing Patients Outcomes and Infection Control through Smart Indoor Air Quality Monitoring Systems
AUTHORS:
Othniel Ojochonu Abalaka, Joe Essien, Calistus Chimezie, Martin Ogharandukun
KEYWORDS:
Artificial Intelligence, Air Pollution, Infection Control, Data Transmission, Data Acquisition, Sensors
JOURNAL NAME:
Journal of Computer and Communications,
Vol.12 No.6,
June
25,
2024
ABSTRACT: Air pollution poses a critical threat to public health and environmental sustainability globally, and Nigeria is no exception. Despite significant economic growth and urban development, Nigeria faces substantial air quality challenges, particularly in urban centers. While outdoor air pollution has received considerable attention, the issue of indoor air quality remains underexplored yet equally critical. This study aims to develop a reliable, cost-effective, and user-friendly solution for continuous monitoring and reporting of indoor air quality, accessible from anywhere via a web interface. Addressing the urgent need for effective indoor air quality monitoring in urban hospitals, the research focuses on designing and implementing a smart indoor air quality monitoring system using Arduino technology. Employing an Arduino Uno, ESP8266 Wi-Fi module, and MQ135 gas sensor, the system collects real-time air quality data, transmits it to the ThingSpeak cloud platform, and visualizes it through a user-friendly web interface. This project offers a cost-effective, portable, and reliable solution for monitoring indoor air quality, aiming to mitigate health risks and promote a healthier living environment.