Design and Development of Robot Base Crack Detection System for Railway Track

S. V. Gulhane, Kartik Deshmukh, Praful Wakudkar, Pawan A. Sawarkar, Pranay Shivankar, Rahul Tajane
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Abstract

Rail transportation in India is at the forefront of providing the necessary transportation infrastructure to satisfy the demands of a quickly expanding economy. India currently has the fourth-largest rail network in the entire world. Yet, we have not met international standards in terms of dependability and safety in railway sector. The biggest challenge in conducting a railway analysis is identifying structural flaws. They risk straying and losing their intended course if not properly managed. The proposed device is appropriate for rail transportation since it allows for the early detection and prevention of accidents. This will be installed on the train engine for the user to use the crash sensor. As a result, if a specific crack is discovered on the trail, the train automatically slows down and stops somewhere, and the exact location of the crack is communicated to the control room. Second, the subsequent cause of accidents is avoided by using identical sensors installed on the engine of two vehicles travelling down the same road. The sensor detects the same signal from a different vehicle and automatically applies the brakes and stops the vehicle at a specific distance. Train diversions might take advantage of several losses from train accidents.
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铁路轨道机器人底座裂纹检测系统的设计与开发
印度的铁路运输在提供必要的交通基础设施以满足快速发展的经济需求方面处于领先地位。印度目前拥有全球第四大铁路网。然而,我们在铁路可靠性和安全性方面还没有达到国际标准。进行铁路分析的最大挑战是识别结构缺陷。如果管理不当,它们可能会误入歧途,失去预定的路线。该装置适用于铁路运输,因为它可以早期发现和预防事故。这将被安装在火车引擎上,供用户使用碰撞传感器。因此,如果在轨道上发现特定的裂缝,列车会自动减速并在某处停车,并将裂缝的确切位置传达给控制室。其次,通过在同一条道路上行驶的两辆汽车的发动机上安装相同的传感器,可以避免随后发生的事故。该传感器检测到来自不同车辆的相同信号,并自动施加刹车并在特定距离停车。火车改道可以利用火车事故造成的一些损失。
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来源期刊
CiteScore
2.80
自引率
0.00%
发文量
25
期刊介绍: International Journal of Mechanical Engineering and Robotics Research. IJMERR is a scholarly peer-reviewed international scientific journal published bimonthly, focusing on theories, systems, methods, algorithms and applications in mechanical engineering and robotics. It provides a high profile, leading edge forum for academic researchers, industrial professionals, engineers, consultants, managers, educators and policy makers working in the field to contribute and disseminate innovative new work on Mechanical Engineering and Robotics Research.
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