International Research Journal of Engineering and Technology (IRJET)
e-ISSN: 2395-0056
Volume: 12 Issue: 01 | Jan 2025
p-ISSN: 2395-0072
www.irjet.net
IMPLEMENTATION OF IOT SOLUTIONS TO MINIMIZE UNDERLOADING AND OVERLOADING ISSUES OF WAGON D.J. Dahigaonkar1, Shivam Bhattad2, Ruhul Khan3, Sheefa Khan4, Pranav Agrawal5 1Associate Professor, Dept of Electronics and communication, Ramdeobaba University Nagpur, Maharashtra, India 2Student, Ramdeobaba University Nagpur, Maharashtra, India 3Student, Ramdeobaba University Nagpur, Maharashtra, India 4Student, Ramdeobaba University Nagpur, Maharashtra, India 5Student, Ramdeobaba University Nagpur, Maharashtra, India
-----------------------------------------------------------------------***------------------------------------------------------------------------lacking the real-time monitoring needed to ensure proper load distribution and compliance [1]. Recent advancements in the Internet of Things (IoT)
ABSTRACT: This paper presents an IoT-based system designed to address the critical issue of load management in railway transportation by providing real-time weight monitoring for railway wagons. In modern logistics, recognizing the impact of improper load distribution and incorrect wagon loading is crucial. These issues contribute to operational inefficiencies, higher maintenance expenses, and increased safety hazards.
now enable real-time load tracking, presenting a transformative opportunity for railway logistics. This paper presents an innovative IoT-based solution for enhancing railway wagon load management. The system utilizes calibrated load cells and ESP32 modules to capture weight data, which is wirelessly transmitted to an OLED display. By addressing the limitations of traditional load management practices, this system promotes safer and more efficient railway operations.
This study integrates approaches from multiple disciplines, such as sensor technology, wireless data transmission, and automated load monitoring, to provide a practical, data-driven solution for managing load distribution. The proposed system employs calibrated load cells installed in the railway wagons to collect precise weight data, which is wirelessly transmitted using ESP32 modules to a central monitoring hub. This comprehensive approach improves safety, ensures regulatory compliance, and enhances resource allocation and operational efficiency, establishing a new benchmark in railway logistics.
2. Experimental setup: 2.1 Load-cell: A load cell, a type of transducer, produces an electrical signal directly proportional to the force it senses. Several types of load cells are available, including hydraulic, pneumatic, and strain gauge models. The number of load cells required depends on the load configuration. For example, a single load cell can measure small concentrated forces, such as those from cables or point loads. For longer beams, two load cells are usually placed at the ends, while three load cells are typically used for vertical cylinders. Load cells are used to measure forces by converting a force into an electrical signal. For measuring small, concentrated forces, a strain gauge-based load cell is commonly used. The relationship between the force applied and the electrical signal is governed by a mathematical formula derived from Hooke's Law and the Wheatstone bridge circuit, as depicted below:
Keywords: Internet of Things, Railway Transportation, Load Management, Real-Time Monitoring, Wireless Data Transmission.
1. Introduction: In today’s logistics-centric economy, railway transport plays a vital role in moving large quantities of goods due to its high capacity and lower environmental impact. However, managing the load within railway wagons remains a significant challenge, affecting both operational efficiency and safety. Issues such as overloading, underloading, and uneven load distribution contribute to increased wear on wagons and infrastructure, leading to higher maintenance costs and safety risks. Current load management methods are often manual and inconsistent,
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Strain (ε) is proportional to the applied force ‘F’ via Hooke's Law as ε= =
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