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International Journal of Creative and Open Research in Engineering and Management

A Peer-Reviewed, Open-Access International Journal Supporting Multidisciplinary Research, Digital Publishing Standards, DOI Registration, and Academic Indexing.
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ISSN: 3108-1754 (Online)
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ISO Certification: 9001:2015
Publication Fee: 599/- INR
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License: CC BY 4.0
Peer Review: Double Blind
Volume 02, Issue 03

Published on: March 2026 2026

IOT-BASED SMART FIRE AND GAS SAFETY SYSTEM FOR ENHANCED HOUSEHOLD SECURITY IN RURAL ENVIRONMENTS

Rahul Sharma Prathamesh Gokhe Prasad Ambure Pushkar Shelge Raghav Nimkar

Electrical Engineering Department, Government College of Engineering, Nagpur, Maharashtra, India

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Plagiarism Passed Peer Reviewed Open Access

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Abstract

Fire accidents and Liquefied Petroleum Gas (LPG) leakages represent significant threats to life and property, particularly in rural households where traditional cooking methods and inadequate ventilation are prevalent. This paper proposes a low-cost, intelligent safety mechanism utilizing Internet of Things (IoT) technology to provide real-time monitoring and alerting. The system integrates an ESP32 microcontroller with a multi-sensor array, including MQ2 (smoke/CO), MQ5 (LPG/natural gas), and DHT11 (temperature/humidity) sensors. Experimental results indicate that the system achieves a response time of 2–3 seconds with minimal power consumption (0.5–1.0 W). By providing both local audible alarms and remote mobile notifications via the Blynk IoT platform, the proposed solution offers a robust safety net for poorly ventilated environments, contributing to disaster risk reduction and technological inclusion in underserved communities.


How to Cite this Paper

Sharma, R., Gokhe, P., Ambure, P., Shelge, P. & Nimkar, R. (2026). IOT-Based Smart Fire and Gas Safety System for Enhanced Household Security in Rural Environments. International Journal of Creative and Open Research in Engineering and Management, <i>02</i>(03). https://doi.org/10.55041/ijcope.v2i3.093

Sharma, Rahul, et al.. "IOT-Based Smart Fire and Gas Safety System for Enhanced Household Security in Rural Environments." International Journal of Creative and Open Research in Engineering and Management, vol. 02, no. 03, 2026, pp. . doi:https://doi.org/10.55041/ijcope.v2i3.093.

Sharma, Rahul,Prathamesh Gokhe,Prasad Ambure,Pushkar Shelge, and Raghav Nimkar. "IOT-Based Smart Fire and Gas Safety System for Enhanced Household Security in Rural Environments." International Journal of Creative and Open Research in Engineering and Management 02, no. 03 (2026). https://doi.org/https://doi.org/10.55041/ijcope.v2i3.093.

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References

[1] K. J. Esmeralda, L. A. Arellano, J. Honorario, A. Samillano, and K. A. Secugal, "Integrated Smoke Detection Using Blynk App: An Internet of Things (IOT) Approach," Business, Education, Social Sciences, and Technology, vol. 1, no. 2, 2025.

[2] E. M. Saleh, T. Imbarake, S. Elakeili, and A. G. Faraj, "SGD: smart gas leakage detection system for home safety," in 2024 14th International Conference on Advanced Computer Information Technologies (ACIT), IEEE, 2024, pp. 581-585.

[3] U. J. Ekah et al., "Design and Implementation of an IoT-Based Fire and Gas Detection System," Journal of Engineering and Applied Sciences, vol. 9, no. 4, 2024.

[4] Pandey, R. C., Verma, M., & Sahu, L. K. (2017). Internet of things (IOT) based gas leakage monitoring and alerting system with MQ-2 sensor. International Journal of Engineering Development and Research, 5(2), 2135-2137.

[5] Daruwati, I., Hatika, R. G., & Mardiansyah, D. (2021, October). MQ-2 gas sensor using micro controller arduino uno for LPG leakage with short message service as a media information. In Journal of Physics: Conference Series (Vol. 2049, No. 1, p. 012068). IOP Publishing. 6) Baballe, M. A., Magashi, U. Y., Garko, B. I., Umar, A. A., Magaji, Y. R., & Surajo, M. (2021). Automatic gas leakage monitoring system using MQ-5 sensor. Review of Computer Engineering Research, 8(2), 64-75.

Ethical Compliance & Review Process

  • All submissions are screened under plagiarism detection.
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  • Peer Review Type: Double-Blind Peer Review
  • Published on: Mar 20 2026
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