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The application of WiFi-based wireless sensor network (WSN) in hill slope condition monitoring

机译:基于WiFi的无线传感器网络(WSN)在山坡状态监测中的应用

摘要

In this paper, a wireless sensor network for landslide monitoring (WSNLM) system is described. WSNLM utilized a wireless protocol which is 802.11g. The hardware structure of the WSNLM is discussed where the important parts had been discussed in details. In order to assess the susceptibility of a hill slope to landslide, several parameters had been considered for the network. The important factors that affect landslide is the ground status, which is soil moisture, vibration in the land and also soil temperature. Other factors that can relate to landslide is the environment of the surrounding such as air temperature, humidity and atmospheric pressure. The outputs from the ADXL335 accelerometer were used for slope angle measurement. The output of a vibration transducer was also used to monitor the hill slope. To account for the susceptibility of the hill slope to the land slide, safety factor value is calculated in real time. The outcomes show that the average moisture content in the soil is around 3% on a sunny day and the safety factor for a sunny day is around 75. The moisture content in the soil on a rainy day increases tremendously to more than 20%. At the same time, the safety factor drops to around 70. The system in this paper has the potential to be used as a useful tool for the detection of lanslides.
机译:本文描述了一种用于滑坡监测的无线传感器网络(WSNLM)。 WSNLM使用了802.11g的无线协议。讨论了WSNLM的硬件结构,其中详细讨论了重要部分。为了评估山坡对滑坡的敏感性,已经考虑了该网络的几个参数。影响滑坡的重要因素是地面状况,即土壤湿度,土地振动以及土壤温度。可能与滑坡有关的其他因素是周围的环境,例如气温,湿度和大气压。 ADXL335加速度计的输出用于斜角测量。振动传感器的输出也用于监测坡度。考虑到山坡对滑坡的敏感性,实时计算安全系数值。结果表明,晴天的土壤平均水分含量约为3%,晴天的安全系数约为75。雨天的土壤水分含量会大大增加,达到20%以上。同时,安全系数降至70左右。本文中的系统有潜力用作检测滑坡的有用工具。

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