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ArticlePeer ReviewedOpen AccessPlagiarism Passed
Paper ID:10.55041/IJSREM34986

Gas Leakage Detection and Prevention Using Sensors and IoT

Stream/Area:

-

Subject:

-

Paper ID:

10.55041/IJSREM34986

Volume:

8 |

5 |

May 2024

Pages:

Publication Frequency:

Monthly (12 issues per year)

DOI
Digital Object Identifier
10.55041/IJSREM34986

License:International Journal of Scientific Research in Engineering and Management follows the Creative Commons Attribution 4.0 (CC BY 4.0) License, allowing free use and distribution with proper attribution.

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Authors

ATK

Abhijith T Kulkarni

JB

Jennet Benny

L

Lohitha

RKC

Ranjan Kumar Chauhan

PAK

Prof. Anitha K

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Abstract

In today’s world, safety is critical, and good safety systems must be put in place. The principal objective of this study is to design a gas sensing and warning system based on Internet Of Things. LPG is used for cooking and in industries. Since LPG is stored and handled by civilian’s, it is easily damaged. In any case, when the gas cylinder, controller, and tube are not in great state, breaks occur, resulting in an issue. Accidents can cause problems such as suffocation and can start fires. Installing gas leakage detectors in vulnerable areas is the most important measure to avoid accidents caused by gas spill. The primary purpose of this study is to propose a framework for detecting and eliminating gas leakage in vulnerable areas. The gas sensor is one such way of detecting and alerting people to gas spills in their initial stages. The gas leak detection system includes a GSM module that sends SMS messages when a gas leak is noticed. It also turns on the exhaust fan and alerts the firefighter department and helps us prevent unexpected disasters. This device can be used in households and industrial facilities, they can be controlled and observe conditions remotely.

KEYWORDS

Node MCU MQ6 Sensor ESP2866 WIFI Servo Motor GSM module.

Cite This Article

Abhijith T Kulkarni, Jennet Benny, Lohitha, Ranjan Kumar Chauhan, Prof. Anitha K, "Gas Leakage Detection and Prevention Using Sensors and IoT," International Journal of Scientific Research in Engineering and Management, vol. 8, no. 5, May 2024. https://doi.org/10.55041/IJSREM34986

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Publication Date

12/31/45440

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Double-Blind Peer Review

Review Rounds: 2

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5

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The authors declare no conflict of interest related to this research work.

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