列车互联网-振荡计

S. Khaladkar, Srishti Gawande
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摘要

交通是印度这样一个幅员辽阔的国家的关键必需品。今天,印度拥有世界第四大铁路网。然而,在安全参数方面,我们还没有达到真正的全球标准。在分析造成这些铁路事故的因素时,最近的统计数据显示,大约60%的铁路事故是脱轨造成的,其中约90%是由于轨道上的裂缝造成的。目前的方法用于检测20-30公里/小时左右的低速轨道变形,并伴有高错误指示,这限制了定期测试许多轨道的可行性。为了确保车辆在轨道上安全、平稳、舒适地行驶,必须观察和记录轨道变形。在各种变形中,轨道水平和轨道轨距是导致列车车厢在水平和垂直方向上异常运动的变形。为此,使用最新的数字技术开发了物联网应用程序“基于云的振荡仪”,以记录教练的狩猎振荡,然后将其与监测和预测性维护的阈值进行比较。
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Internet of Trains -Oscillometer
Transport is a key necessity of a vast nation like India. Today, India possesses the fourth largest railway network in the world. However, in terms of the safety parameters, we have not yet reached truly global standards. On analysis of the factors that cause these rail accidents, recent statistics reveal that approximately 60% of all the rail accidents have derailments as their cause, of which about 90% is due to cracks on the rails. The current method implemented for detection of track deformations to low speeds of around 20-30 kmph with high false indications, which limits the viability of testing many tracks regularly. To ensure safe, smooth and comfortable running of the vehicles over the track, track deformations have to observed and recorded. Amongst various deformations, track level and track gauge are those deformations which lead to unusual movement of a train coach in horizontal and vertical directions. For this, an IoT application “Cloud based Oscillometer” is developed using the latest digital technology to record the hunting oscillations of the coach and then compare it with the threshold values for monitoring and predictive maintenance.
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