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

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 pr...

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Bibliographic Details
Published inJournal of sensors Vol. 2019; no. 2019; pp. 1 - 9
Main Authors Kim, Yongseong, Lee, Seungjoo, Jin, Jihuan, Tamang, Bibek, Lim, Hyuntaek, Park, Sungyong, Chang, Sukhyun
Format Journal Article
LanguageEnglish
Published Cairo, Egypt Hindawi Publishing Corporation 2019
Hindawi
Hindawi Limited
Subjects
Batteries
Casualties
Climate change
Design
Disasters
Displacement
Early warning systems
Economic impact
Emergency communications systems
Failure
Internet of Things
Landslides
Landslides & mudslides
Monitoring
Monitoring systems
Natural disasters
Predictions
Real time
Scale models
Sensors
Shear strain
Stainless steel
Steel pipes
Strain gauges
Studies
South Korea
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Summary: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.
ISSN:1687-725X
1687-7268
DOI:10.1155/2019/7570517