The Internet of Things (IoT) is one of the key components of metro train safety as an emerging development approach due to its great potential to advance environmental sustainability. A bogie is a key component for carrying a passenger's vehicle body. Its damage and defects can destroy fluent operations and better service for train operation. The critical problem of traditional non-destructive examination for bogie is the high cost of labour and environment. Because they are in effect only after the whole vehicle has to be split into many sub-components and paint removed. This study provides an IoT approach and practice for bogie crack identification of bogie. The presented method can achieve simple and efficient detection of damage with cheap PZT sensor network. Its advantages is that non-split work and non-removal paint pollution. Compared with traditional detection methods, this method is more sensitive to a small area of internal damage and can identify the level of damage and location of the bogie plate frame even with the dirty and non-smooth surface.

中文翻译：

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利用导波识别物联网中地铁列车转向架框架的裂纹损伤并进行定位

物联网（IoT）是地铁列车安全的重要组成部分之一，因为它具有促进环境可持续发展的巨大潜力，因此是新兴的开发方法。转向架是携带乘客车身的关键部件。它的损坏和缺陷会破坏流畅的运行，并为火车运行提供更好的服务。传统的转向架无损检测的关键问题是人工和环境的高成本。因为它们仅在必须将整个车辆分为许多子组件并去除油漆后才有效。该研究为转向架裂纹识别提供了一种物联网方法和实践。所提出的方法可以通过廉价的PZT传感器网络实现简单有效的损伤检测。它的优点是不分割工作和不去除油漆污染。