IoT – Driven Optimized Coal Transportation

This project addresses key inefficiencies in Coal India Limited's (CIL) coal transportation process, focusing on demurrage charges and the challenges of overloading and underloading during wagon loading. Demurrage charges arise when trains wait due to insufficient coal at sidings, while overloading and underloading result in penalties and unnecessary expenses. This project proposes the development of a comprehensive digital platform that leverages IoT sensors and real-time data monitoring to optimize the coal loading process. By providing instantaneous updates on coal stock levels and train locations, the system aims to reduce idle times, avoid penalties, and enhance overall operational efficiency. The ultimate goal is to create a more cost-effective and environmentally sustainable coal transportation process, contributing to both economic and operational improvements for CIL.

Authors

Publication Details

Published
2025-04-16
DOI
https://doi.org/10.1109/iccct63501.2025.11019296
Citations
1
Primary Topic
Engineering and Environmental Studies
Type
article
Field-Weighted Citation Impact
1.15
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article

IoT – Driven Optimized Coal Transportation

T. Manju, G Venkateshwaran, S Vignesh, K Harikrishnan
1 citations
Engineering and Environmental Studies
1.15
article

IoT – Driven Optimized Coal Transportation

T. Manju, G Venkateshwaran, S Vignesh, K Harikrishnan
article en
1 citations

Abstract

This project addresses key inefficiencies in Coal India Limited's (CIL) coal transportation process, focusing on demurrage charges and the challenges of overloading and underloading during wagon loading. Demurrage charges arise when trains wait due to insufficient coal at sidings, while overloading and underloading result in penalties and unnecessary expenses. This project proposes the development of a comprehensive digital platform that leverages IoT sensors and real-time data monitoring to optimize the coal loading process. By providing instantaneous updates on coal stock levels and train locations, the system aims to reduce idle times, avoid penalties, and enhance overall operational efficiency. The ultimate goal is to create a more cost-effective and environmentally sustainable coal transportation process, contributing to both economic and operational improvements for CIL.

Openalex Percentile: Top 22%
Engineering and Environmental Studies
1.15
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IoT – Driven Optimized Coal Transportation — T. Manju, G Venkateshwaran, et al. · (2025) | TGRS Research Map | TGRS