IoT Based LPG Gas Leakage Detector

Authors

  • Prof. Pranay Meshram  Computer Science &Engineering, Priyadarshini J. L. College of Engineering, Nagpur, Maharashtra, India
  • Nancy Shukla  Computer Science &Engineering, Priyadarshini J. L. College of Engineering, Nagpur, Maharashtra, India
  • Stuti Mendhekar  Computer Science &Engineering, Priyadarshini J. L. College of Engineering, Nagpur, Maharashtra, India
  • Renuka Gadge  Computer Science &Engineering, Priyadarshini J. L. College of Engineering, Nagpur, Maharashtra, India
  • Shivani Kanaskar  Computer Science &Engineering, Priyadarshini J. L. College of Engineering, Nagpur, Maharashtra, India

DOI:

https://doi.org//10.32628/CSEIT1951128

Keywords:

LPG gas, IoT (Internet of Things)

Abstract

Gas leakage is a major problem in the industrial sector, in residential locations etc. One of the preventive methods to stop the incident related to the gas leak is to install a gas leak detection kit at vulnerable locations. The goal of this paper is to propose a system that can detect, alert and automatically control gas leaks. In particular, a gas sensor has been used which has a high sensitivity to gases such as propane and butane together with LPG. There is an alarm that is triggered once the LPG has been detected. The gas leakage system consists of a Wi-Fi module that alerts the user by sending an SMS message.

References

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IInternational Journal of Scientific Research in Computer Science, Engineering and Information Technology

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Published

2019-02-28

Issue

Volume 5, Issue 1, January-February-2019

Section

Research Articles

License

Copyright (c) IJSRCSEIT

Creative Commons License

This work is licensed under a Creative Commons Attribution 4.0 International License.

How to Cite

[1]
Prof. Pranay Meshram, Nancy Shukla, Stuti Mendhekar, Renuka Gadge, Shivani Kanaskar, " IoT Based LPG Gas Leakage Detector, IInternational Journal of Scientific Research in Computer Science, Engineering and Information Technology(IJSRCSEIT), ISSN : 2456-3307, Volume 5, Issue 1, pp.531-534, January-February-2019. Available at doi : https://doi.org/10.32628/CSEIT1951128