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RSS Based Bridge Scour Measurement Using Underwater Acoustic Sensor Networks

机译:基于RSS基于水下声学传感器网络的桥梁测量

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Bridge Scour is one of the major causes of bridge failures all around the world and there have been significant efforts for its detection and measurement using different acoustic approaches. In this paper, we propose and investigate an effective method to utilize Received Signal Strength (RSS) for measuring scour depth where acoustic sensors are deployed. We also extend a statistical testing to determine the difference in signal levels at the sensor nodes prior to and after scour formation and subsequently determine the actual depth of scour. Additionally, we make an attempt to evaluate underwater distance and depth using signal strength perceived at the receiver which makes it free from the requirement of accurate receiver-sender synchronization in contrast to Time of Flight (ToF) or Time of Arrival (ToA) techniques. The scour depths are eventually compared for the conditions when the bottom is composed of a single or multiple layers. The simulation results clearly show that different depths are calculated for the case of multilayered bottom (0.8 to 3.9 meters for instance) as compared to a constant depth of 2 meters for the case of a single layered bottom.
机译:桥梁冲刷是世界各地的桥梁故障的主要原因之一,并且使用不同的声学方法的检测和测量存在重大努力。在本文中,我们提出并研究了利用所接收的信号强度(RSS)来测量部署声学传感器的冲刷深度的有效方法。我们还扩展了统计测试,以确定冲刷形成之前和之后的传感器节点处的信号电平的差异,并随后确定的冲刷的实际深度。另外,我们尝试使用在接收器处感知的信号强度来评估水下距离和深度,这使得不需要准确的接收器 - 发件人同步与飞行时间(TOF)或到达时间(TOA)技术。最终将缓冲深度与单个或多个层组成时的条件比较。仿真结果清楚地表明,与单层底部的恒定深度为2米的恒定深度相比,计算不同深度的底部(例如,例如0.8至3.9米)。

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