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Power Harvesting for Railroad Track Health Monitoring using Piezoelectric and Inductive Devices

机译:使用压电和感应设备进行铁路健康监测的功率收集

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One of the most limiting factors for distributed sensor networks used for railroad track health monitoring applications is the lack of a long-term, low-maintenance power supply. Most existing systems still require a change of battery, and remoteness of location and low frequency of maintenance can limit their practical deployment. In this paper we describe an investigation of two principal methods for harvesting mechanical power from passing railcars in order to supply electrical power to remote networks of sensors. We first considered an inductive voice coil device directly driven by vertical rail displacement. We then considered a piezoelectric device that is attached to the bottom of the rail and is driven by the longitudinal strain produced by rail bending due to passing railcars. Theoretical models of the behavior of these devices were integrated with an analytical model of rail track deflection to perform numerical simulations of both of these power scavenging techniques. Lab and field tests were also performed to validate the simulation results. Resulting values of average power production show promise for scavenging near the targeted level of 1 mW, and the field data matched well with the simulations.
机译:用于铁轨健康监测应用的分布式传感器网络的最大限制因素之一是缺少长期的,低维护的电源。大多数现有系统仍然需要更换电池,并且位置偏远和维护频率低会限制其实际部署。在本文中,我们描述了两种主要方法的研究,该方法主要用于从经过的有轨电车中收集机械能,以便为传感器的远程网络提供电能。我们首先考虑了由垂直轨道位移直接驱动的感应式音圈装置。然后,我们考虑了一种压电装置,该装置固定在轨道的底部,并受到由通过的有轨车引起的轨道弯曲所产生的纵向应变的驱动。这些设备的行为的理论模型与轨道偏转的分析模型集成在一起,以对这两种功率清除技术进行数值模拟。还进行了实验室和现场测试,以验证仿真结果。平均功率产生的结果值显示有可能在目标1 mW附近进行扫频,并且现场数据与仿真非常吻合。

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