Design of a Smart Fire Monitoring and Alert System for Industrial Warehouses Using IoT

Nguyen Xuan Minh *

Le Quy Don Technical University, Vietnam.

*Author to whom correspondence should be addressed.


Abstract

Fire incidents in industrial warehouses pose serious threats to human life, property, and production continuity. Traditional fire detection systems often rely on passive mechanisms and lack the ability for remote monitoring and early warning. To address these limitations, this study proposes the design and development of a smart fire monitoring and alert system based on Internet of Things (IoT) technology. The system utilizes various sensors — including temperature, smoke, and gas detectors — to detect early signs of fire in real time.

Data from the sensors is processed by an ESP32 microcontroller and transmitted to an IoT cloud platform for real-time monitoring and alerting. When abnormal conditions are detected, the system automatically sends notifications to users via mobile applications or email, allowing for immediate response. Experimental testing in a simulated environment confirms that the system operates reliably, with fast response and easy user interaction. The proposed solution offers a cost-effective and scalable fire safety approach, particularly suitable for small and medium-sized industrial warehouses.

Keywords: IoT, fire detection, smart monitoring, industrial safety, ESP32, temperature sensor, smoke sensor, real-time alert, cloud-based system, warehouse fire prevention


How to Cite

Minh, Nguyen Xuan. 2025. “Design of a Smart Fire Monitoring and Alert System for Industrial Warehouses Using IoT”. Journal of Basic and Applied Research International 31 (4):172-76. https://doi.org/10.56557/jobari/2025/v31i49591.

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