A Study on the Slope Failure Monitoring of a Model Slope by the Application of a Displacement Sensor

Abstract EN

Many causalities and economic losses are caused by natural disasters, such as landslides and slope failures, every year.

This suggests that there is a need for an early warning system to mitigate casualties and economic losses.

Most of the studies on early warning systems have been carried out by predicting landslide-prone areas, but studies related to the prediction of landslide occurrence time points by the real-time monitoring of slope displacement are still insufficient.

In this study, a displacement sensor and an Internet of Things (IoT) monitoring system were combined together, to monitor slope failure through cutting experiments of a real-scale model slope.

Real-time monitoring of the slope movement was performed simultaneously via a low-cost, efficient, and easy-to-use IoT system.

Based on the obtained displacement data, an inverse displacement analysis was performed.

Finally, a slope instrumentation standard was proposed based on the slope of the inverse displacement for early evacuation before slope failure.