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Paper ID:10.55041/IJSREM.AITCON020

Industrial Chemical Leak Early Warning Device Using IoT

Stream/Area:

-

Subject:

-

Paper ID:

10.55041/IJSREM.AITCON020

Volume:

10 |

4 |

April 2026

Pages:

1-4

Publication Frequency:

Monthly (12 issues per year)

DOI
Digital Object Identifier
10.55041/ijsrem.AITCON020

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

DTN

Deshmukh Tejaswini N.

Department of Electronics and Telecommunication

Adarsh Institute of Technology & Research Centre, Vita, India

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MAR

Mokale Anuradha Ramhari

Department of Electronics and Telecommunication

Adarsh Institute of Technology & Research Centre, Vita, India

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CMR

Chandanshive Mayuri Ramesh

Department of Electronics and Telecommunication

Adarsh Institute of Technology & Research Centre, Vita, India

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PAV

Patil Anuja Vijay

Department of Electronics and Telecommunication

Adarsh Institute of Technology & Research Centre, Vita, India

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PPR

Pudale Priti Rahul

Department of Electronics and Telecommunication

Adarsh Institute of Technology & Research Centre, Vita, India

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Abstract

An industrial chemical leak is dangerous for people, the environment, and industrial machinery. An Internet of Things (IoT)-based Industrial Chemical Leak Early Warning Device para satellite will detect the presence of harmful chemical gases in the surrounding area, notify authorities via a notification on a phone or an IoT web application, activate alarms and/or visual indicators, thereby helping with early detection, reducing risk, and enhancing safety in the work place. The IoT will provide real-time monitoring and a fast response to dangerous situations caused by chemicals leaking.

KEYWORDS

Internet of things (IoT) Gas detector Gas sensor photonics Users GSM

Cite This Article

Deshmukh Tejaswini N., Mokale Anuradha Ramhari, Chandanshive Mayuri Ramesh, Patil Anuja Vijay, Pudale Priti Rahul, "Industrial Chemical Leak Early Warning Device Using IoT," International Journal of Scientific Research in Engineering and Management, vol. 10, no. 4, pp. 1-4, April 2026. https://doi.org/10.55041/ijsrem.AITCON020

Full Article/Conclusion

A practical, reliable, affordable solution to help protect workers and the public from potential industrial accidents can be developed by creating a new device called the Industrial Chemical Leak Early Warning Device. This device will use modern Internet of Things (IoT) technologies to create real-time alerts and monitor chemicals being stored, used or transported in an industrial or laboratory environment. This project will demonstrate how businesses can implement modern technology to improve employee safety, reduce the likelihood of workplace accidents and provide a more robust and effective method for preventing industrial accidents.

References

[1].Ravisankar, B., et al. "Smart Detection System for LPG Gas Leakage using IoT." 2022 6th International Conference on Computing Methodologies and Communication (ICCMC). IEEE, 2022.  [2].Chandran, Ananya, and S. Kavitha. "A Smart Gas Stove with Gas Leakage Detection and Multistage Prevention System Using IoT." International Journal of Modern Developments in Engineering and Science 1.9 (2022).   [3] Ravisankar, B., et al. "Smart Detection System for LPG Gas Leakage using IoT." 2022 6th International Conference on Computing Methodologies and Communication (ICCMC). IEEE, 2022. [4] Baballe, Muhammad Ahmad, and Mukhtar Ibrahim      Bello. "Gas leakage detection system with alarming system." Review of Computer Engineering Research 9.1 (2022)  [5] Tommy,Alexander. "Implementation of a Gas Leakage Detection System Using the MQ-6 Sensor." Brilliance: Research of Artificial Intelligence 2.1 (2022).  [6] Leavline, E. Jebamalar, et al. "LPG gas leakage detection and alert system." International Journal of Electronics Engineering Research 9.7 (2017): 1095 1097 [7] Falohun, A. S., et al. "Dangerous gas detection using an integrated circuit and MQ 9." International Journal of Computer Applications 135.7 (2016).  

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Publication Date

4/30/2026

Peer Review Type

Double-Blind Peer Review

Review Rounds: 2

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