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首页> 外文期刊>Mechanical systems and signal processing >Low-cost, efficient wireless intelligent sensors (LEWIS) measuring real-time reference-free dynamic displacements
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Low-cost, efficient wireless intelligent sensors (LEWIS) measuring real-time reference-free dynamic displacements

机译:低成本,高效的无线智能传感器(LEWIS),可实时测量无参考动态位移

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摘要

According to railroad managers, displacement of railroad bridges under service loads is an important parameter in the condition assessment and performance evaluation. However, measuring bridge responses in the field is often costly and labor-intensive. This paper proposes a low-cost, efficient wireless intelligent sensor (LEWIS) platform that can compute in real-time the dynamic transverse displacements of railroad bridges under service loads. This sensing platform drives on an open-source Arduino ecosystem and combines low-cost microcontrollers with affordable accelerometers and wireless transmission modules. The proposed LEWIS system is designed to reconstruct dynamic displacements from acceleration measurements onboard, eliminating the need for offline post-processing, and to transmit the data in real-time to a base station where the inspector at the bridge can see the displacements while the train is crossing, or to a remote office if so desired by internet. Researchers validated the effectiveness of the new LEWIS by conducting a series of laboratory experiments. A shake table setup simulated transverse bridge displacements measured on the field and excited the proposed platform, a commercially available wired expensive accelerometer, and reference LVDT displacement sensor. The responses obtained from the wireless system were compared to the displacements reconstructed from commercial accelerometer readings and the reference LVDT. The results of the laboratory experiments demonstrate that the proposed system is capable of reconstructing transverse displacements of railroad bridges under revenue service traffic accurately and transmitting the data in real-time wirelessly. In conclusion, the platform presented in this paper can be used in the performance assessment of railroad bridge network cost-effectively and accurately. Future work includes collecting real-time reference-free displacements of one railroad bridge in Colorado under train crossings to further prove LEWIS’ suitability for engineering applications.
机译:铁路管理人员认为,在使用载荷下铁路桥梁的位移是状态评估和性能评估中的重要参数。然而,在现场测量桥梁响应通常是昂贵且费力的。本文提出了一种低成本,高效的无线智能传感器(LEWIS)平台,该平台可以实时计算服务负载下铁路桥梁的动态横向位移。该传感平台在开源Arduino生态系统上驱动,并结合了低成本微控制器,负担得起的加速度计和无线传输模块。拟议中的LEWIS系统旨在从车上的加速度测量结果中重建动态位移,从而无需离线后处理,并将数据实时传输到基站,桥上的检查员可以在火车上看到位移。正在穿越,或者如果互联网需要的话,到远程办公室。研究人员通过进行一系列实验室实验,验证了新型LEWIS的有效性。振动台设置模拟了在现场测得的横向桥梁位移,并激发了拟议的平台,市售的有线昂贵加速度计和参考LVDT位移传感器。从无线系统获得的响应与从商业加速度计读数和参考LVDT重建的位移进行了比较。实验室实验结果表明,该系统能够准确地重建收入服务流量下铁路桥梁的横向位移,并能够实时无线传输数据。综上所述,本文提出的平台可有效,准确地用于铁路桥梁网络的性能评估。未来的工作包括收集科罗拉多州火车过境处的一座铁路桥梁的实时无参考位移,以进一步证明LEWIS在工程应用中的适用性。

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