Abstract: Fire hazards in industrial environments can lead to catastrophic losses. An early detection system can significantly mitigate risks. This paper presents an IoT-based industrial fire detection system using Arduino Nano, OLED display (128×64), MQ-2 gas sensor (for LPG detection), Flame Sensor (for fire detection), DHT11 (for temperature and humidity monitoring), and a Buzzer. The system provides real-time monitoring and alerts users with distinct buzzer sounds for different alerts. The OLED display operates in a slideshow format to accommodate all sensor readings within the limited display space. The proposed system ensures early fire detection with improved accuracy and efficiency.
Keywords: IoT, Fire Detection, Industrial Safety, Arduino, Sensors, Embedded System.
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DOI:
10.17148/IJARCCE.2025.14249
