IoT Based LPG Leakage Detection

June 2021
Vol-7, Issue-3
Paper ID: 14500
ISSN: 2395-4396
Downloads: 0

Abstract & Details

Research Area
computer Engineering
Keywords
LPG sensor IOT Home Safety cloud computing ESP32
Abstract
Gas leakages result a serious problem in household and other areas where household gas is used, therefore the proposed gas leakage detection and monitoring system is developed. There are many methods available for booking a Gas Refill, methods include online booking, telephonic booking etc. It will be difficult situation for the one who uses LPG gas for cooking regularly. The aim of this paper is to present a new system automatically books a cylinder when the gas is about to empty is by sending a notification to the gas agency using WiFi using Internet of Things approach. In addition to that sensor is used to detect gas leakage at home. If the gas leakage is sensed automatically, it will send SMS to the user. WiFi is one of the most used networks across the world. Hence, load cell has been used to monitor the weight of the LPG gas regularly. The values are next fed to the microcontroller. If the gas in the cylinder indicates a value where the remaining percentage level is crossed below the threshold level set for gas to be indicated as getting emptied, then a notification will be delivered to gas enterprise automatically to book the new cylinder. Subsequently, reply notification will be sent to the customer about the booking status. At the same time, application software is developed in the gas enterprise to inform and record the booking. This, work this helps the society to specifically indicate gas leakage also helps both customers and the agency to get the gas booking made automatically using the IOT technique.

Author Information

# Name Institute / Affiliation
1 Pabale Shweta Late G. N. Sapkal College of Engineering
2 More Harshada Late G. N. Sapkal College of Engineering
3 Mahajan Damini Late G. N. Sapkal College of Engineering
4 Nehete Shubham Late G. N. Sapkal College of Engineering
5 Shraddha Shinde Late G. N. Sapkal College of Engineering

How to Cite

Use the following formats to cite this article in your research.

APA Style
Shweta, Pabale, Harshada, More, Damini, Mahajan, Shubham, Nehete, & Shinde, Shraddha (2021). IoT Based LPG Leakage Detection. International Journal of Advance Research and Innovative Ideas In Education, 7(3), 1805-1807.
MLA Style
Shweta, Pabale, et al. "IoT Based LPG Leakage Detection." International Journal of Advance Research and Innovative Ideas In Education, vol. 7, no. 3, 2021, pp. 1805-1807.
IEEE Style
Pabale Shweta, More Harshada, Mahajan Damini, Nehete Shubham, and Shraddha Shinde, "IoT Based LPG Leakage Detection," International Journal of Advance Research and Innovative Ideas In Education, vol. 7, no. 3, pp. 1805-1807, 2021.
Vancouver Style
Shweta Pabale, Harshada More, Damini Mahajan, Shubham Nehete, Shinde Shraddha. IoT Based LPG Leakage Detection. International Journal of Advance Research and Innovative Ideas In Education. 2021;7(3):1805-1807.
Harvard Style
Shweta, Pabale, Harshada, More, Damini, Mahajan, Shubham, Nehete, & Shinde, Shraddha (2021) 'IoT Based LPG Leakage Detection', International Journal of Advance Research and Innovative Ideas In Education, 7(3), pp. 1805-1807.
Chicago Style
Shweta, Pabale, et al. "IoT Based LPG Leakage Detection." International Journal of Advance Research and Innovative Ideas In Education 7, no. 3 (2021): 1805-1807.
Turabian Style
Shweta, Pabale, et al. "IoT Based LPG Leakage Detection." International Journal of Advance Research and Innovative Ideas In Education 7, no. 3 (2021): 1805-1807.

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