用于远程监测和探测滑坡的无线检波器网络

A. T. Kunnath, M. Ramesh
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引用次数: 16

摘要

近年来,降雨引发的山体滑坡数量惊人地增加。这使得有必要建立一个监测系统来预测滑坡,从而最终减少生命损失。我们开发并部署了一个无线传感器网络,用于监测印度南部穆纳尔的降雨引发的滑坡。该系统于2009年6月成功发出山体滑坡预警。该系统正在加强,并入无线检波器网络,以定位滑坡的起源。本文讨论了一种分析检波器数据并自动检测滑坡信号的算法。提出了一种新的滑坡起爆点定位方法。该算法基于波在地球表面传播时固有的时间延迟。这里详述的方法不需要额外的能量,因为检波器是自激的。与RSSI等其他定位方法相比,该方法的误差率要小得多。该算法已在我校建立的滑坡实验室中进行了测试和验证。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Wireless Geophone Network for remote monitoring and detection of landslides
Recent years have shown an alarmous increase in rain fall induced landslides. This has facilitated the need for having a monitoring system to predict the landslides which could eventually reduce the loss of human life. We have developed and deployed a Wireless Sensor Network to monitor rainfall induced landslide, in Munnar, South India. A successful landslide warning was issued in June 2009 using this system. The system is being enhanced by incorporating a Wireless Geophone Network to locate the initiation of landslide. The paper discusses an algorithm that was developed to analyze the geophone data and automatically detect the landslide signal. A novel method to localize the landslide initiation point is detailed. The algorithm is based on the time delay inherent in the transmission of waves through the surface of the earth. The approach detailed here does not require additional energy since the geophones are self excitatory. The error rate of the approach is much less when compared to the other localization methods like RSSI. The proposed algorithm is being tested and validated, in the landslide laboratory set up at our university.
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