Developing a Fire Monitoring System Based on MQTT, ESP-NOW, and a REM in Industrial Environments
Fires and fire hazards in industrial environments pose a significant risk to safety, infrastructure, and the operational community. The need for real-time monitoring systems capable of detecting fires early and transmitting alerts promptly is crucial. This paper presents a fire monitoring system uti...
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| Format: | Article |
| Language: | English |
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MDPI AG
2025-01-01
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| Series: | Applied Sciences |
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| Online Access: | https://www.mdpi.com/2076-3417/15/2/500 |
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| author | Miracle Udurume Taewoong Hwang Raihan Uddin Toufiq Aziz Insoo Koo |
| author_facet | Miracle Udurume Taewoong Hwang Raihan Uddin Toufiq Aziz Insoo Koo |
| author_sort | Miracle Udurume |
| collection | DOAJ |
| description | Fires and fire hazards in industrial environments pose a significant risk to safety, infrastructure, and the operational community. The need for real-time monitoring systems capable of detecting fires early and transmitting alerts promptly is crucial. This paper presents a fire monitoring system utilizing lightweight communication protocols, a multi-hop wireless network, and anomaly detection techniques. The system leverages Message Queue Telemetry Transport (MQTT) for efficient message exchange, the ESP-NOW for low-latency and reliable multi-hop wireless communications, and a radio environment map for optimal node placement, eliminating packet loss and ensuring robust data transmission. The proposed system addresses the limitations of traditional fire monitoring systems, providing flexibility, scalability, and robustness in detecting fire. Data collected by ESP32-CAM sensors, which are equipped with pre-trained YOLOv5-based fire detection modules, are processed and transmitted to a central monitoring server. Experimental results demonstrate a 100% success rate in fire detection transmissions, a significant reduction in latency to 150ms, and zero packet loss under REM-guided configuration. These findings validate the system’s suitability for real-time monitoring in high-risk industrial settings. Future work will focus on enhancing the anomaly detection model for greater accuracy, expanding scalability through additional communication protocols, like LoRaWAN, and incorporating adaptive algorithms for real-time network optimization. |
| format | Article |
| id | doaj-art-33334e3ca98443b88fa4f40589193c16 |
| institution | Kabale University |
| issn | 2076-3417 |
| language | English |
| publishDate | 2025-01-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Applied Sciences |
| spelling | doaj-art-33334e3ca98443b88fa4f40589193c162025-01-24T13:19:36ZengMDPI AGApplied Sciences2076-34172025-01-0115250010.3390/app15020500Developing a Fire Monitoring System Based on MQTT, ESP-NOW, and a REM in Industrial EnvironmentsMiracle Udurume0Taewoong Hwang1Raihan Uddin2Toufiq Aziz3Insoo Koo4Department of Electrical Electronic and Computer Engineering, Ulsan University, 93 Daehak-ro, Namgu, Ulsan 44610, Republic of KoreaDepartment of Electrical Electronic and Computer Engineering, Ulsan University, 93 Daehak-ro, Namgu, Ulsan 44610, Republic of KoreaDepartment of Electrical Electronic and Computer Engineering, Ulsan University, 93 Daehak-ro, Namgu, Ulsan 44610, Republic of KoreaDepartment of Electrical Electronic and Computer Engineering, Ulsan University, 93 Daehak-ro, Namgu, Ulsan 44610, Republic of KoreaDepartment of Electrical Electronic and Computer Engineering, Ulsan University, 93 Daehak-ro, Namgu, Ulsan 44610, Republic of KoreaFires and fire hazards in industrial environments pose a significant risk to safety, infrastructure, and the operational community. The need for real-time monitoring systems capable of detecting fires early and transmitting alerts promptly is crucial. This paper presents a fire monitoring system utilizing lightweight communication protocols, a multi-hop wireless network, and anomaly detection techniques. The system leverages Message Queue Telemetry Transport (MQTT) for efficient message exchange, the ESP-NOW for low-latency and reliable multi-hop wireless communications, and a radio environment map for optimal node placement, eliminating packet loss and ensuring robust data transmission. The proposed system addresses the limitations of traditional fire monitoring systems, providing flexibility, scalability, and robustness in detecting fire. Data collected by ESP32-CAM sensors, which are equipped with pre-trained YOLOv5-based fire detection modules, are processed and transmitted to a central monitoring server. Experimental results demonstrate a 100% success rate in fire detection transmissions, a significant reduction in latency to 150ms, and zero packet loss under REM-guided configuration. These findings validate the system’s suitability for real-time monitoring in high-risk industrial settings. Future work will focus on enhancing the anomaly detection model for greater accuracy, expanding scalability through additional communication protocols, like LoRaWAN, and incorporating adaptive algorithms for real-time network optimization.https://www.mdpi.com/2076-3417/15/2/500anomaly detectionESP32-CAMESP32-NOWfire detectionindustrial environmentsIoT-based monitoring |
| spellingShingle | Miracle Udurume Taewoong Hwang Raihan Uddin Toufiq Aziz Insoo Koo Developing a Fire Monitoring System Based on MQTT, ESP-NOW, and a REM in Industrial Environments Applied Sciences anomaly detection ESP32-CAM ESP32-NOW fire detection industrial environments IoT-based monitoring |
| title | Developing a Fire Monitoring System Based on MQTT, ESP-NOW, and a REM in Industrial Environments |
| title_full | Developing a Fire Monitoring System Based on MQTT, ESP-NOW, and a REM in Industrial Environments |
| title_fullStr | Developing a Fire Monitoring System Based on MQTT, ESP-NOW, and a REM in Industrial Environments |
| title_full_unstemmed | Developing a Fire Monitoring System Based on MQTT, ESP-NOW, and a REM in Industrial Environments |
| title_short | Developing a Fire Monitoring System Based on MQTT, ESP-NOW, and a REM in Industrial Environments |
| title_sort | developing a fire monitoring system based on mqtt esp now and a rem in industrial environments |
| topic | anomaly detection ESP32-CAM ESP32-NOW fire detection industrial environments IoT-based monitoring |
| url | https://www.mdpi.com/2076-3417/15/2/500 |
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