Published 01-10-2025
Keywords
- Internet-of-Things,
- Microcontroller,
- ATmega328p,
- Fire Detection
Copyright (c) 2025 Dienatu Issaka, Yaw Amankrah Sam-Okyere, Emmanuel Osei-Kwame (Author)

This work is licensed under a Creative Commons Attribution 4.0 International License.
How to Cite
Abstract
Fire incidents cause significant threats to life and property, particularly in critical infrastructure. This research presents the design and implementation of an Internet of Things (IoT)-based fire detection and suppression system featuring real-time monitoring and scalable sensor integration. The system integrates an ATmega328p microcontroller, RF transceivers, flame and smoke sensors, NodeMCU (ESP8266), solenoid valves, relays, a jockey pump, and water sprinklers. Sensor fusion ensures high detection accuracy, triggering suppression only upon simultaneous smoke and flame detection to minimize false positives. Communication between transceivers controls the pump operation, while the NodeMCU transmits sensor data to a remote web server via Wi-Fi for continuous monitoring. When a fire is detected by the sensors, the controller promptly activates the fire alarm system, which in turn triggers the jockey pump to discharge water through the sprinkler system at the affected locations.
References
- A. H. Buchanan and A. K. Abu, Structural Design for Fire Safety. Wiley, 2016. doi: 10.1002/9781118700402.
- J. A. Purkiss and L.-Y. Li, Fire Safety Engineering Design of Structures, 3rd Edition. CRC Press, 2017.
- D. Qin, P. Gao, F. Aslam, M. Sufian, and H. Alabduljabbar, “A comprehensive review on fire damage assessment of reinforced concrete structures,” Case Studies in Construction Materials, vol. 16, p. e00843, Jun. 2022, doi: 10.1016/j.cscm.2021.e00843.
- I. Rathnayake, P. Sridarran, and M. D. T. E. Abeynayake, “Factors Contributing to Building Fire Incidents: A Review,” in the International Conference on Industrial Engineering and Operations Management, Dubai: IEOM Society International, 2020, pp. 123–134.
- S. L. Turner et al., “Risk factors associated with unintentional house fire incidents, injuries and deaths in high-income countries: a systematic review,” Injury Prevention, vol. 23, no. 2, pp. 131–137, Apr. 2017, doi: 10.1136/injuryprev-2016-042174.
- B. Arhin, D. Kim, and H. Cha, “A dv/dt Filter Design Based on the Voltage Reflection Theory at SiC Converter,” in 2023 IEEE International Future Energy Electronics Conference (IFEEC), IEEE, Nov. 2023, pp. 469–472. doi: 10.1109/IFEEC58486.2023.10458620.
- Y. Zhang, L. Shen, Y. Ren, J. Wang, Z. Liu, and H. Yan, “How fire safety management attended during the urbanization process in China?,” J Clean Prod, vol. 236, p. 117686, Nov. 2019, doi: 10.1016/j.jclepro.2019.117686.
- A. Mićović, D. Mlađan, and N. Brkljač, “Fire Extinguisher Conformity Assessment – A Case Study,” in Thematic Conference Proceedings of International Significance, 2021, pp. 575–587.
- J. H. Troitzsch, “Fires, statistics, ignition sources, and passive fire protection measures,” J Fire Sci, vol. 34, no. 3, pp. 171–198, May 2016, doi: 10.1177/0734904116636642.
- S. Khan, Z. ul Islam, and S. Dure najaf Rizvi, “Epidemiology of elderly burn patients in the United States: Mortality patterns and risk factors revealed by CDC WONDER database,” Burns, vol. 51, no. 1, p. 107311, Feb. 2025, doi: 10.1016/j.burns.2024.107311.
- W. J. Requia, “Fires in Brazil: health crises and the failure of government action,” The Lancet Regional Health - Americas, vol. 39, p. 100913, Nov. 2024, doi: 10.1016/j.lana.2024.100913.
- J. F. de Oliveira-Júnior et al., “Fire foci in South America: Impact and causes, fire hazard and future scenarios,” J South Am Earth Sci, vol. 112, p. 103623, Dec. 2021, doi: 10.1016/j.jsames.2021.103623.
- B. Ackah, N. O. A. Amoa-Ampah, S. Oduro, A. Danso, and B. Baah, “Residential fire safety in Ghana: a comprehensive analysis of fire incident causes, user attitudes and safety compliance,” Property Management, Apr. 2025, doi: 10.1108/PM-09-2024-0104.
- V. Kodur, P. Kumar, and M. M. Rafi, “Fire hazard in buildings: review, assessment and strategies for improving fire safety,” PSU Research Review, vol. 4, no. 1, pp. 1–23, Sep. 2019, doi: 10.1108/PRR-12-2018-0033.
- N. V Gorlenko and M. A. Murzin, “Comparative analysis of fire risks in coal and oil and gas industries,” IOP Conf Ser Mater Sci Eng, vol. 687, no. 6, p. 066009, Dec. 2019, doi: 10.1088/1757-899X/687/6/066009.
- C. Ofori, I. Oladeji, and R. Zamora, “A Fuzzy-based Technique for Series and Shunt FACTS Placement in a Distribution System,” in 2022 IEEE International Power and Renewable Energy Conference (IPRECON), IEEE, Dec. 2022, pp. 1–6. doi: 10.1109/IPRECON55716.2022.10059554.
- A. H. Abdoul Nasser, P. D. Ndalila, E. A. Mawugbe, M. Emmanuel Kouame, M. Arthur Paterne, and Y. Li, “Mitigation of Risks Associated with Gas Pipeline Failure by Using Quantitative Risk Management Approach: A Descriptive Study on Gas Industry,” J Mar Sci Eng, vol. 9, no. 10, p. 1098, Oct. 2021, doi: 10.3390/jmse9101098.
- A. Boniface, A. Y. Nasir, and A. M. Hassan, “Arduino based gas leakage and temperature monitoring and control system,” International Journal of Informatics and Communication Technology (IJ-ICT), vol. 9, no. 3, pp. 171–178, Dec. 2020, doi: 10.11591/ijict.v9i3.pp171-178.
- Dr. A. Sungheetha and Dr. R. Sharma R, “Real Time Monitoring and Fire Detection using Internet of Things and Cloud based Drones,” Journal of Soft Computing Paradigm, vol. 2, no. 3, pp. 168–174, Jul. 2020, doi: 10.36548/jscp.2020.3.004.
- A. Jadon, Mohd. Omama, A. Varshney, S. Ansari, and R. Sharma, “FireNet: A Specialized Lightweight Fire & Smoke Detection Model for Real-Time IoT Applications,” ArXiv Preprint, vol. 1905, no. 11922v2, 2019.
- A. Ashiquzzaman, S. Min Oh, D. Lee, J. Lee, and J. Kim, “Context-Aware Deep Convolutional Neural Network Application for Fire and Smoke Detection in Virtual Environment for Surveillance Video Analysis,” in Smart Trends in Computing and Communications: Proceedings of SmartCom 2020, vol. 182, Singapore: Springer, 2021, pp. 459–467. doi: 10.1007/978-981-15-5224-3_46.
- N. Kalatzis, M. Avgeris, D. Dechouniotis, K. Papadakis-Vlachopapadopoulos, I. Roussaki, and S. Papavassiliou, “Edge Computing in IoT Ecosystems for UAV-Enabled Early Fire Detection,” in 2018 IEEE International Conference on Smart Computing (SMARTCOMP), IEEE, Jun. 2018, pp. 106–114. doi: 10.1109/SMARTCOMP.2018.00080.
- M. Mahbub, M. M. Hossain, and Md. S. A. Gazi, “Cloud-Enabled IoT-based embedded system and software for intelligent indoor lighting, ventilation, early stage fire detection and prevention,” Computer Networks, vol. 184, p. 107673, Jan. 2021, doi: 10.1016/j.comnet.2020.107673.
- Md. T. Hossain, “Development of a Low Cost Embedded System for Fire Detection in a Residential House,” Bangladesh University of Engineering and Technology, Dhaka, 2022.
- R. K. Kodali and S. Yerroju, “IoT based smart emergency response system for fire hazards,” in 2017 3rd International Conference on Applied and Theoretical Computing and Communication Technology (iCATccT), IEEE, Dec. 2017, pp. 194–199. doi: 10.1109/ICATCCT.2017.8389132.
- C. Ofori, J. Cudjoe Attachie, and F. Obeng-Adjapong, “A GSM-Based Fault Detection on Overhead Distribution Lines,” Jurnal Nasional Teknik Elektro, vol. 12, no. 2, pp. 70–79, Jul. 2023, doi: 10.25077/jnte.v12n2.986.2023.
- Y. S. Parihar, “Internet of Things and Nodemcu A review of use of Nodemcu ESP8266 in IoT products,” J Emerg Technol Innov Res, vol. 6, no. 6, pp. 1085–1088, 2019.
- I. Arkorful, D. Williams, D. Wondoh, and I. Ampem, “Optimizing Mill Grinding Media Charging to Enhance the Efficiency of the Comminution Process using PLC and SCADA,” IJISET - International Journal of Innovative Science, Engineering & Technology, vol. 11, no. 10, pp. 36–45, 2024.
- B. Arhin and H. Cha, “A New dv/dt Filter Design Method using the Voltage Reflection Theory,” in 2022 4th Global Power, Energy and Communication Conference (GPECOM), IEEE, Jun. 2022, pp. 107–111. doi: 10.1109/GPECOM55404.2022.9815657.
- A. C. Bento, “IoT: NodeMCU 12e X Arduino Uno, Results of an experimental and comparative survey,” International Journal of Advance Research in Computer Science and Management Studies , vol. 6, no. 1, pp. 46–56, 2018.
- P. Christ, B. Neuwinger, F. Werner, and U. Ruckert, “Performance analysis of the nRF24L01 ultra-low-power transceiver in a multi-transmitter and multi-receiver scenario,” in 2011 IEEE SENSORS Proceedings, IEEE, Oct. 2011, pp. 1205–1208. doi: 10.1109/ICSENS.2011.6127100.
- P. A. Addo, L. Dwomoh, and C. Ofori, “Automatic Maintenance Alert System for Heavy Duty Haulage Machines,” Jurnal Nasional Teknik Elektro, vol. 11, no. 2, pp. 118–125, Jul. 2022, doi: 10.25077/jnte.v11n2.1002.2022.
- E. Osei-Kwame, Y. Sam-Okyere, and L. Dwomoh, “Automatic Switching System for Submersible Motor Pump: Case Study of a Cocoa Processing Company in Ghana,” Journal of Power, Energy, and Control, vol. 2, no. 1, pp. 27–42, Apr. 2025, doi: 10.62777/pec.v2i1.50.
- Adi Winarno, W. Widodo, and R. Hanif Darmawan, “Smoke Detection Design Using MQ-2 Sensor and Exhaust Fan Based on Microcontroller,” BEST : Journal of Applied Electrical, Science, & Technology, vol. 5, no. 1, pp. 6–8, Aug. 2023, doi: 10.36456/best.vol5.no1.7216.