Author(s) :   Vuong Thuy Linh¹, Le Ngoc Giang²

Abstract : In recent times, fire hazards and air pollution in computer labs have become growing concerns. These issues not only impact the learning environment but also pose risks to the health of students and faculty, as well as the safety of equipment within the labs. Early detection and continuous monitoring of air quality in computer labs are crucial measures to prevent incidents and ensure a safe working environment. This paper presents the design and development of an IoT system aimed at the early detection of fire risks and the continuous monitoring of air quality in computer labs.

The system uses sensors to measure parameters such as temperature, humidity, and concentrations of gases like CO2, CO, NO2, and SO2. The collected data is then transmitted in real-time to a server for analysis. If the readings exceed safe thresholds, the system automatically triggers an alert. Furthermore, the collected data is stored for analysis to predict and prevent potential risks.

This IoT system offers an automated solution for continuous monitoring, ensuring the safety of both equipment and the health of those using the lab. The system's flexibility and scalability allow it to be applied in various environments, including educational institutions, industrial settings, and laboratories. This research highlights the necessity of adopting IoT-based safety management systems and underscores their role in enhancing workplace safety and management efficiency.

Keywords: IoT, fire, explosion risks, air quality, computer labs.

DOI : 10.61161/ijarcsms.v12i9.2

Pages : 9-18

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