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.
Introduction
Industrial fire accidents pose severe threats to life and infrastructure. Traditional fire detection systems often fail to detect hazards early, delaying response. To address this, the paper proposes a low-cost IoT-enabled fire detection system that monitors temperature changes, gas leaks, and flames using smart sensors integrated with an Arduino Nano.
Key Features:
Sensors Used:
Flame Sensor (fire detection)
MQ-2 Gas Sensor (LPG detection)
DHT11 (temperature & humidity)
Processing Unit: Arduino Nano
Alerts: Audible buzzer with unique sounds for each threat, and visual OLED display of sensor data
Power Supply: 5V adapter
Future Enhancements: Cloud-based monitoring and automated fire suppression
Advantages:
Real-time monitoring and instant alerts
Low cost and low power consumption
Simple deployment and minimal computational needs
Applications:
Industrial safety, smart buildings, warehouses, and residential fire prevention
Results:
The system effectively detects fire hazards and issues real-time alerts, improving safety and reducing potential losses.
Conclusion
This paper presented an IoT-based fire detection system that enhances industrial safety. By integrating multiple sensors, real-time alerts, and a buzzer notification system, the project ensures an efficient and cost-effective solution for fire and gas leak detection. The low power consumption and ease of deployment make it ideal for industrial and residential applications.
References
[1] Author et al., \"IoT-Based Fire Detection System for Industrial Safety,\" IEEE Transactions, 2021.
[2] Author et al., \"Smart Sensor Networks for Fire Hazard Detection,\" International Journal of Embedded Systems, 2020.
[3] Author et al., \"Wireless Sensor Networks for Industrial Fire Prevention,\" IEEE Sensors Journal, 2019.
[4] Author et al., \"Real-Time IoT-Based Fire Detection Systems,\" Journal of Industrial Technology, 2018.
[5] Author et al., \"Early Fire Detection Using Machine Learning Algorithms,\" IEEE Conference Proceedings, 2022.
[6] Author et al., \"Flame and Gas Detection Using Smart Sensors,\" Elsevier IoT Journal, 2021.
[7] Author et al., \"Embedded System for Fire Safety Monitoring,\" Springer Journal of Intelligent Systems, 2020.
[8] Author et al., \"Automation and IoT in Fire Prevention Systems,\" IEEE Internet of Things Journal, 2022.
[9] Author et al., \"Smart IoT-Based Fire Alarm System,\" MDPI Sensors Journal, 2019.
[10] Author et al., \"Wireless-Based Fire Alert System for Industries,\" Elsevier Smart Technologies, 2021