Real-Time Fire Monitoring and Prevention Using IoT and Blynk Software

References

[1] Memo, M. P., Shawon, N. J., Arafat, Y., Jannat, F., Uddin, M. R., & Hasan, M. IoT-Based Home Monitoring and Danger Alert.

[2] Godi, R. K., Agarwal, S., & Shailaja, G. (2023, October). Develoment of an Accident Detection System Using IoT and Blynk Application. In 2023 International Conference on Self Sustainable Artificial Intelligence Systems (ICSSAS) (pp. 1412-1419). IEEE.

[3] Maulana, H. (2024). Design of an Internet of Things (IoT) based Early Fire Prevention System Due to LPG Gas Leakage Using NodeMCU ESP8266 Module. BEST: Journal of Applied Electrical, Science, & Technology, 6(1), 1-6.

[4] Anik, M. A. I., Rahman, M. T., Onkon, M. N. C., Rakhi, N. T., & Shufian, A. (2025, January). IoT-Based Gas Leak Detection and Fire Hazard Recognition System Using Image Processing for Household Safety Enhancement. In 2025 4th International Conference on Robotics, Electrical and Signal Processing Techniques (ICREST) (pp. 239-243). IEEE.

[5] Jarin, S. A., Saha, A., & Haque, M. (2024). A Multilevel Home Fire Detection and Alert System Using Internet of Things (IoT). In International Conference on Communication and Computational Technologies (pp. 39-52). Springer, Singapore.

[6] Chaitanya, A., Rahul, P., Siddhartha, A., & Dholvan, M. (2023). IoT-Based Mining Safety and Air QuBlynk System. Journal of Telecommunication, Electronic and Computer Engineering (JTEC), 15(4), 1-6.

[7] Djehaiche, R., Aidel, S., & Saeed, N. (2022). Implementation of M2M-IoT smart building system using Blynk app. In Artificial Intelligence and Heuristics for Smart Energy Efficiency in Smart Cities: Case Study: Tipasa, Algeria (pp. 439-449). Springer International Publishing.

[8] Sihombing, P., Herriyance, H., & Syaputra, M. R. (2021). Smart system to prevent forest fire based on internet of things. Internetworking Indonesia Journal, 13(1), 45-50.

[9] Ramalingam, V., & ArunKumar, G. (2023, December). Wireless IoT Gas and Smoke Detection System with ESP8266 and Blynk Integration. In 2023 1st International Conference on Optimization Techniques for Learning (ICOTL) (pp. 1-6). IEEE.

[10] Ilhamdi, L., Fikry, M., & Aidilof, H. A. K. (2024, December). Smart Fire Prevention: An IoT Approaceh To Detecting LPG Leaks And Fire Hazards. In Proceedings of International Conference on Multidisciplinary Engineering (ICOMDEN) (Vol. 2, pp. 00031-00031).

[11] Ayeni, J. K., & Akinola, S. O. (2024). IoT-Based Gas and Smoke Detection System using Blynk application with Automatic SMS and Alarm Notifications. University of Ibadan Journal of Science and Logics in ICT Research, 11(2), 98-105.

[12] Venuste, B., Geoffrey, G., & Pierre, N. J. (2023). Smart Approach for Fire Detection Systems in Kigali. J. Appropriate Technol, 9(3), 152-161.

[13] Mokhtar'udin, M. D., & Lias, J. (2024). IoT-Based Smart Fire Alarm Navigation System. Evolution in Electrical and Electronic Engineering, 5(2), 147-155.

[14] Shanto, S. S., Rahman, M., Oasik, J. M., & Hossain, H. (2023). Smart greenhouse monitoring system using Blynk IoT App. Journal of Engineering Research and Reports, 25(2), 94-107.

[15] Anuar, A. M., Mohamad, R., Markom, A. M., & II, R. C. (2024). Real-time forest fire detection, monitoring, and alert system using Arduino. Indonesian Journal of Electrical Engineering and Computer Science, 33(2), 942-950.

@article{1707697,
      author = {Swetha S, Deepika M, Dharshini S, Tamilselvi P, Dhivyabharathi K},
      title = {Real-Time Fire Monitoring and Prevention Using IoT and Blynk Software},
      journal = {Iconic Research And Engineering Journals},
      year = {2025},
      volume = {8},
      number = {9},
      pages = {1343-1349},
      issn = {2456-8880},
      url = {https://www.irejournals.com/formatedpaper/1707697.pdf},
      abstract = {In this research work, Internet of Things (IoT) based smart fire alarm navigation system is proposed which aims at solving the issue caused by negligence and delayed reaction of fire-related accidents on creating IoT. The presented scheme integrates some sensors like gas, temperature, and GPS modules with the use of Arduino IDE technology for identifying and addressing dangers of residential structures. Arduino software IDE is employed for coding Arduino IDE platform which is central component system thus allowing smoother communication among varied parts. A primary intention of this model is to establish alert system which in turn alerts inhabitants and fireman in real-time via mobile app along with development of IoT dependent smart fire alarm navigation system and assessment of performance functioning. Users will get warnings and incident data through cell phones via Blynk application. The utilization of system with Wi-Fi modules in turn assures remote monitoring & notification ability. This study emphasizes significance of well-informed & prompt reactions to fire occurrences for minimizing flame spread with low loss.  This data will be kept in cloud storage service online. For smoke and fire alter, the LED might glow and buffer starts beeping. The alert notification is received once flame sensor detects fire or flame.},
      keywords = {Internet of Things, Smart fire alerting system, Aduino IDE, Smoke sensor, temperature sensor, fire sensor, Wi-Fi, Blynk app.},
      month = {March},
  }