Home and Industrial Safety Using Fire and Gas Detection Sensor

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.

Authors

Publication Details

Journal
International Journal for Research in Applied Science and Engineering Technology
Published
2025-05-17
DOI
https://doi.org/10.22214/ijraset.2025.70720
Primary Topic
Fire Detection and Safety Systems
Type
article
Field-Weighted Citation Impact
0.00
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article

Home and Industrial Safety Using Fire and Gas Detection Sensor

A. Ajay Mate
International Journal for Research in Applied Science and Engineering Technology
Fire Detection and Safety Systems
article

Home and Industrial Safety Using Fire and Gas Detection Sensor

A. Ajay Mate
article en

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.

International Journal for Research in Applied Science and Engineering TechnologyVol. 13(5)
Openalex Percentile: Top 88%
Fire Detection and Safety Systems
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