IOT-Powered Gas Detection and Alert for Emergency Response Services

Abstract

The Automatic LPG Gas Leakage Detection and Cut-off System is a breakthrough in home safety systems. Traditionally, gas cylinders are prevalent in houses, necessitating strict safety measures. The conventional approach is mostly employing a basic toxic gas sensor with an alarm system. But employing IoT technology, our system totally revolutionizes the level of safety. By utilizing advanced gas sensors and having an inbuilt cut-off facility, our system offers enhanced security against potential gas leaks. The moment it senses even a hint of gas leakage, the system automatically activates a shutoff mechanism to prevent the escalation. This anticipatory steps significantly reduce the likelihood of accidents and potential harm. Additionally, the hassle-free combined with IoT facilitates real-time communication. Alert messages are instantaneously sent to connected mobile devices, and users can respond quickly to gas threats remotely. This functionality not only optimizes the ease of use of users but also enables prompt intervention, thereby reducing the threat of accidents or property damage. Overall, the combination of IoT technology and safety aspects in our system is a milestone development in home security. Through providing real-time awareness and control of gas accident occurrences, our solution is a new standard for proactive gas leakage detection and emergency response systems

Introduction

The Automatic LPG Gas Leakage Detection and Cut-off System leverages IoT technology to enhance safety in domestic and industrial environments by detecting potentially hazardous LPG leaks quickly and efficiently. Traditional gas leak detectors with alarms are limited in timely response and remote monitoring capabilities. This system integrates gas sensors (MQ-6), microcontrollers (Arduino Uno), Wi-Fi modules (ESP32), and servo motors to:

• Detect LPG leaks with high sensitivity.

• Automatically shut off the gas supply using a servo motor-controlled valve.

• Send real-time alerts remotely via mobile devices through IoT connectivity.

• Provide immediate, automated responses to minimize risks like fires or explosions.

• Enable remote monitoring and control to improve safety and compliance.

The design improves on existing gas detection methods by combining rapid detection, automated cut-off, and instant communication, establishing a new standard in gas safety and accident prevention.

Conclusion

The Automatic LPG Gas Leakage Detection and Cutoff System is a major innovation in gas safety technology, utilizing IoT integration and sophisticated hardware components to increase safety features in homes and industrial environments. Utilizing MQ-6 gas sensors for precise detection of flammable gases and an automatic cutoff system operated by a servo motor, the system provides quick response to gas leakage incidents, reducing the risk of possible accidents and dangers. The inclusion of a web application gives users real-time observation of gas levels, system status, and alerts for proactive response and remote control features. In addition, the compliance of the system with regulatory standards provides for safety guidelines adherence, increasing overall safety and regulatory compliance. In summary, the Automatic LPG Gas Leakage Detection and Cutoff System provides a suitable solution for proactive gas safety, equipping users with the tools and technology required to reduce the risk linked to gas Leaks and provide safety for occupants and assets.

References

[1] H. A. BanySalameh, M. F. Dhainat and E. Benkhelifa, \"An End-to- End Early Warning System Based on Wireless Sensor Network for Gas Leakage Detection in Industrial Facilities,\" in IEEE Systems Journal, vol. 15, no. 4, pp. 5135-5143, Dec. 2021 [2] P. Zade et al., \"GSM-Based Gas Detection System”,Research Methodologies in Knowledge Management, Artificial Intelligence and Telecommunication Engineering (RMKMATE), Chennai, India, 2023, pp. 1-6 [3] N. Asthana and R Bahl, \"IoT device for sewage gas monitoring and alert system\", 2019 1st International Conference on Innovations in for smart building energy management,” IEEE/CAA J. Autom. Sinica, vol. 6, no. 6, pp. 1452–1461, Nov. 2019. [4] H. B. Salameh and M. AL-Quraan, “Securing delay-sensitive CR-IoT networking under jamming attacks: Parallel transmission and batching perspective,” IEEE Internet Things J., vol. 7, no. 8, pp. 7529–7538, Aug. 2020. [5] A. Kumar, K. Ovsthus, and L. Kristensen, “An industrial perspective on wireless sensor networks—A survey of requirements, protocols, and challenges,” IEEE Commun. Surv. Tuts., vol. 16, no. 3, pp. 1391– 1412, Oct.–Dec. 2014. [6] L. Salhi, T. Silverston, T. Yamazaki and T Miyoshi, \"Early Detection System for Gas Leakage and Fire in Smart Home Using Machine Learning\", 2019 IEEE International Conference on Consumer Electronics (ICCE), pp. 1-6, 2019, January. [7] H. B. Salameh, T. Shu, and M. Krunz, “Adaptive cross-layer MAC design for improved energy-efficiency in multi-channel wireless sensor networks,” Ad Hoc Netw.J., vol. 5, no. 6, pp. 844–854, 2007. [8] Y. Duan, W. F. Li, X. W. Fu, Y. Luo, and L. Yang, “A methodology for reliability of WSN based on software defined network in adaptive industrial environment,” IEEE/CAA J. Autom. Sinica, vol. 5, no. 1, pp. 74–82, Jan. 2018.

Copyright

Copyright © 2025 Mohanaprakash K, Govindaraj M, Nithishkumar M, Vivek P, Sujithkumar AS. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.