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ArticlePeer ReviewedOpen AccessPlagiarism Passed
Paper ID:IJSREM44723

Smart Hot Axle Box Detection and Cooling System Using IOT for Indian Railway

Stream/Area:

-

Subject:

-

Paper ID:

IJSREM44723

Volume:

9 |

4 |

Apr 2025

Pages:

Publication Frequency:

Monthly (12 issues per year)

DOI
Digital Object Identifier
10.55041/IJSREM44723

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

YG

Yogesh Gawali

YP

Yash Puri

sA

shrawani Akre

VB

Vedant Bagde

AN

Arya Nandankar

NB

Nishant Bhoyar

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Abstract

The performance & safety of railway operations are critically dependent on the condition of key components, such as axle boxes. Overheating & mechanical failures in axle boxes can lead to serious accidents, costly maintenance & operational disruptions. This paper presents the design & implementation of a “Smart Hot Axle Box Detection & Cooling System” aimed at improving the safety, reliability & efficiency of Indian Railways. The proposed system integrates a real-time monitoring platform that uses temperature sensors for continuously assessing the health of axle boxes. An IoT-based data acquisition system is employed to collect & transmit sensor data on the cloud for real- time monitoring. Furthermore, the system incorporates an automatic cooling mechanism that activates upon detection of elevated temperatures, effectively preventing damage & enhancing the overall operational lifespan of railway assets. The proposed solution not only reduces the risk of axle box failure but also minimizes maintenance costs & improves the operational efficiency of the railway network.

KEYWORDS

Axle box IoT Cooling system Smart Detection Indian Railway.

Cite This Article

Yogesh Gawali, Yash Puri, shrawani Akre, Vedant Bagde, Arya Nandankar, Nishant Bhoyar, "Smart Hot Axle Box Detection and Cooling System Using IOT for Indian Railway," International Journal of Scientific Research in Engineering and Management, vol. 9, no. 4, Apr 2025. https://doi.org/10.55041/IJSREM44723

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Publication Date

4/16/2025

Peer Review Type

Double-Blind Peer Review

Review Rounds: 2

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5

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Conflict of Interest

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

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No funding information available for this research.

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