Prevention of Underloading and Overloading of Railway Wagons by IoT Devices

Vipra Bohara, Anshu Dhabhai, Ruchika Solanki, Charu Upadhyay,Mamta Rani, Nishi Atray

Data Acquisition, Internet of Things (IoT) Sensors, Wireless Communication.

The Railway transportation plays a crucial role in the global economy, facilitating the movement of goods and passengers over vast distances. However, ensuring the efficient and safe operation of railway wagons remains a significant challenge, particularly concerning underloading and overloading. In this paper, we propose a novel system of IoT devices designed to prevent underloading and overloading of railway wagons. Leveraging advanced sensor technology, data analytics, and real- time monitoring capabilities, our system aims to provide railway operators with actionable insights to optimize freight loading processes, improve operational efficiency, and enhance safety standards. By deploying IoT devices strategically throughout the railway network, we can collect comprehensive data on wagon weight, cargo distribution, and loading conditions. This data is then analyzed using machine learning algorithms to detect anomalies and deviations from safe loading practices. Through proactive alerts and notifications, railway operators can take immediate corrective actions to prevent underloading or overloading situations, minimizing the risk of accidents, derailments, and infrastructure damage. Additionally, our IoT system enables predictive maintenance strategies, identifying potential issues with wagon components or loading mechanisms before they escalate into critical failures. This proactive approach not only enhances safety but also reduces downtime and maintenance costs, resulting in significant cost savings for railway operators. Overall, our proposed system of IoT devices represents a transformative solution for addressing the challenges of underloading and overloading in railway transportation. By harnessing the power of IoT technology, we can create a safer, more efficient, and more sustainable railway industry for the future.

https://doi.org/10.31871/IJNTR.11.1.3