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

机译:智能地震静音传感器网络,用于有效检测滑坡诱导的地震骨信号

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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:山体滑坡是主要的自然灾害之一,通过识别使用地震网络网络记录的滑坡触发振动触发摇摆滑坡的早期检测可以实现。这项工作中的主要研究挑战是用于传输捕获信号的无线网络的网络能耗,噪声去除和开发。本文介绍了在站点上具有增强的信号处理能力的无线智能地震琴网络的设计和测试,用于记录和分析地理孔信号。该系统具有检测滑坡诱导信号的能力,并删除脚步,车辆移动,降雨和流流量产生的不同类型的噪声,并将事件数据传输到本地处理器。为此目的,开发了一种简单且成本效益的基于Arduino基于Arduino的数据采集系统,具有带球声输入。与其他传统系统相比,该系统有助于减少系统能源概念,并且是高度可靠的,低成本。本文主要集中在传感器系统的硬件设计和算法中,用于识别用于检测滑坡诱导地震信号的地震检波器信号的特性。还提供了系统记录的不同地震事件的地震骨信号的特性。

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