Issuu

International Research Journal of Engineering and Technology (IRJET)

e-ISSN: 2395-0056

Volume: 11 Issue: 03 | Mar 2024

p-ISSN: 2395-0072

www.irjet.net

IoT Mechanisms Detecting Loading of Goods: A Review Aryan Chawada1, Nikita Bhosale1, Atharv Patil1, Chinmay Chitte1, Makarand Mali1 Mrs. Kalyani. N. Kulkarni2 1UG Student, Dept. of Civil Engineering, AISSMS College of Engineering, Maharashtra, India 2Assistant Professor, Dept. of Civil Engineering, AISSMS College of Engineering, Maharashtra, India

---------------------------------------------------------------------***-------------------------------------------------------------------Abstract - This comprehensive review paper delves into the 2. LITERATURE REVIEW intricate realm of coal transportation, specifically focusing on the development of an innovative IoT-based mechanism to meticulously detect and prevent underloading and overloading instances in railway wagons. As Coal India Limited (CIL) faces substantial financial implications from manual and contractual coal loading methods, the paper synthesizes insights from diverse research domains, including automated weighing systems, coal handling practices, railway track deformation studies, and soil foundation dynamics. The proposed solution involves the installation of load cells on each coal wagon, creating a sophisticated IoT network that seamlessly transfers real-time weight data to a centralized monitoring system through strategically positioned sensors. This comprehensive strategy not only addresses the immediate challenges faced by CIL but also envisions a transformative shift towards accuracy, efficiency, and accountability in coalloading processes.

The review of literature compiled from the available research papers covers a variety of topics, including automated systems for weighing and packaging, coal handling and dispatch plans, railway track deformation analysis, and the dynamic behaviour of soil foundations in heavy haul railways. These papers provide insightful information about technologies and development approaches that are pertinent to the development of a connected world for identifying overloading and underloading in coal wagons, in line with the particular problem statement that Coal India Limited (CIL) is facing. Studies from 1978 to 1999 Ballast behaviour is evaluated using triaxial samples as a method of examining the deformation of railway tracks under various stress conditions. Furthermore to highlighting the interaction of factors influencing permanent deformation, highlights were the significance of comprehending ballast deformation for efficient track maintenance [1]Research like "Investigating Strength and Deformation Characteristics" highlight how crucial it is to understand the cyclic-stress levels of embankment materials since They provide crucial details about the variables affecting instability and settlement in heavy-haul railroads. The necessity of thorough testing procedures is emphasised in the article, which is consistent with the accuracy needed in coal transportation to avoid overloading and underloading. The making of a parametric capacity model by Canadian National Railway (CN) is emphasising the significance of it of efficient track asset utilisation. The study provides a framework that is consistent with the goals of optimising coal waggon loading in railway sidings By emphasizing the practical, theoretical, used, and available track capacity[2].

Key Words: Internet-of-Things, Coal. Railway, Logistics, Digital Solution

1.INTRODUCTION For Coal India Limited, the complex process of transporting coal—especially the loading of railroad wagons—has demonstrated to be an ongoing obstacle. The common contractual and manual methods have resulted in underloading idle freight credits and overloading penalties, which have caused financial losses. This review paper explores a novel resolution predicated on state-of-the-art IoT technologies to address these issues. The paper presents a forward-looking mechanism by combining results from studies on automated weighing systems, thorough coal handling procedures, detailed analyses of railway track deformation, and predictive soil foundation dynamics. The clever placement of load cells on each coal wagon, which creates a complex Internet of Things network, is its fundamental component. This network makes it able to communicate weight data in the moment to centralized monitor by intricately connecting the necessary sensors. The primary goal is to bring about a radical alteration in the coal wagon loading industry by implementing a highly accountable and technologically advanced system.

Impact Factor value: 8.226

Studies from 2011 to 2015 Furthermore, exploring the geotechnical characteristics of ballasted tracks, highlights were the significance of substructure efficiency. This is consistent with the requirement for a strong system to guarantee precise coal waggon monitoring and weighing [3]. The WIM system could be considered both a diagnostic and prognostic tool very useful for predictive maintenance of the structural components of the vehicle [4].

ISO 9001:2008 Certified Journal

Page 462