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Smart geophone sensor network for effective detection of landslide induced geophone signals

机译:智能地震检波器传感器网络可有效检测滑坡诱发的地震检波器信号

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Landslides are one of the major natural disasters and an early detection of landslide can be achieved by identifying the landslide triggering vibrations recorded using a geophone network. The major research challenges in this effort are network energy consumption, noise removal and development of a wireless network for transmitting the captured signals. This paper presents design and testing of a wireless smart geophone network with enhanced signal processing capability at the site for recording and analyzing geophone signals. The system has the capability to detect landslide induced signals and remove different types of noises produced by footsteps, vehicular movement, rainfall, and stream flow, and transmit the event data to a local processor. For this purpose, a simple and cost effective Arduino based data acquisition system with geophone inputs is developed. This system helps in reducing the system energy conception and is highly reliable, low cost compared to other traditional systems. This paper mainly focuses on the hardware design of sensor system and algorithms for identifying the characteristics of geophone signals for detecting landslide induced seismic signals. The characteristics of geophone signals for different seismic events recorded by the system are also provided.
机译:滑坡是主要的自然灾害之一,可以通过识别触发使用地震检波器网络记录的振动的滑坡来及早发现滑坡。这项工作的主要研究挑战是网络能耗,噪声消除以及用于传输捕获信号的无线网络的发展。本文介绍了一种无线智能地震检波器网络的设计和测试,该网络在现场用于记录和分析地震检波器信号具有增强的信号处理能力。该系统具有检测滑坡感应信号并消除由脚步声,车辆运动,降雨和水流产生的不同类型噪声的功能,并将事件数据传输到本地处理器。为此,开发了一种简单且具有成本效益的基于Arduino的地震检波器输入数据采集系统。与其他传统系统相比,该系统有助于减少系统的能源消耗,并且可靠性高,成本低。本文主要研究传感器系统的硬件设计和识别地震检波器信号特征的算法,以检测滑坡诱发的地震信号。还提供了系统记录的针对不同地震事件的地震检波器信号的特性。

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