Safe Haven: Smart Gas Leakage Detection and Response System
DOI:
https://doi.org/10.48001/978-81-966500-7-0-14Keywords:
IoT, MQ-2 Sensor, Arduino Module, GSM Networks, Gas Leakage DetectionAbstract
The project’s main goal is to create an Internet of Things (IoT)-based system for detecting and preventing gas leaks to improve safety in both home and commercial settings. The system uses an MQ-2 gas sensor to identify potentially dangerous gases and trigger several safety procedures. When the system detects a gas leak, it immediately turns off the power source to eliminate possible sources of ignition and activates an exhaust fan to disperse the gas. Additionally, the system sends an immediate distress message to the user via a Telegram bot, ensuring prompt notification. This integration of IoT technology provides an efficient and automated solution for preventing gas-related accidents, enhancing overall safety and peace of mind.
Downloads
References
B. Deepika, S. Sivakami, S. Sneha, & B. Sujitha. (2024). Early Detection System for Gas Leakage and Fire in Smart Home Using IOT. International Journal of Scientific Research in Computer Science, Engineering and Information Technology, 10(3), 102–108. https://doi.org/10.32628/cseit24102123
Chraim, F., Erol, Y. B., & Pister, K. (2016). Wireless Gas Leak Detection and Localization. IEEE Transactions on Industrial Informatics, 12(2), 768–779. https://doi.org/10.1109/TII.2015.2397879
Gautam, S., & Mittal, P. (2022). Comprehensive Analysis of Privacy Preserving Data Mining Algorithms for Future Develop Trends. International Research Journal of Computer Science, 9(10), 367–374. https://doi.org/10.26562/irjcs.2022.v0910.01
Khan, M. M. (2020). Sensor-Based Gas Leakage Detector System †. Engineering Proceedings, 2(1). https://doi.org/10.3390/ecsa-7-08278
Mittal, P. (2020). Impact of Digital Capabilities and Technology Skills on Effectiveness of Government in Public Services. 2020 International Conference on Data Analytics for Business and Industry: Way Towards a Sustainable Economy, ICDABI 2020. https://doi.org/10.1109/ICDABI51230.2020.9325647
Mittal, P., & Gautam, S. (2023). Logistic Regression and Predictive Analysis in Public Services of AI Strategies. TEM Journal, 12(2), 751–756. https://doi.org/10.18421/TEM122-19
Praveen Sharma, V., Raman, D., Padmavathi, V., & Vijendar Reddy Gurram, G. (2023). IoT Based Gas Leakage detection System Using GPS. E3S Web of Conferences, 391. https://doi.org/10.1051/e3sconf/202339101064
Shrestha, S., Krishna Anne, V. P., & Chaitanya, R. (2019). IoT based smart gas management system. Proceedings of the International Conference on Trends in Electronics and Informatics, ICOEI 2019, 2019-April, 550–555. https://doi.org/10.1109/icoei.2019.8862639
Shukur, M. I., & Al-Adilee, M. K. A. (2021). Portable gas leak detection system using IoT and off-the shelf sensor node. Indonesian Journal of Electrical Engineering and Computer Science, 24(1), 491–499. https://doi.org/10.11591/ijeecs.v24.i1.pp491-499
Varma, A., Prabhakar, S., & Jayavel, K. (2017). Gas Leakage Detection and Smart Alerting and prediction using IoT. Proceedings of the 2017 2nd International Conference on Computing and Communications Technologies, ICCCT 2017, 327–333. https://doi.org/10.1109/ICCCT2.2017.7972304
Younes, S. M. (2019). A Microprocessor Based Gas Leakage Detection System in the Oil and Gas Industry [Doctoral dissertation, SCHOOL OF APPLIED SCIENCES OF NEAR EAST UNIVERSITY]