@inproceedings{e8d750a7f78e4ebfa93750c0e73165be,
title = "Development of IoT sensing modulus for surficial slope failures",
abstract = "To improve the limitations of rainfall-based slope warning system, a new system that integrates the hydro-mechanical slope analysis and wireless sensing module for surficial ground response monitoring is under development. The proposed system aims to establish a customized, time-dependent warning system for shallow slope failures triggered by rainfalls. A coupled hydro-mechanical analysis considering both the hydraulic infiltrations and mechanical responses of unsaturated soils in slope stability analysis is adopted. A real-time, wireless sensing module adopting the internet of things (IoT) technology is developed. The sensing module integrates the micro-electro-mechanical system (MEMS) sensing components with wireless communication modules. The module measures in-situ surface inclination and water content profile and uploads the data to cloud storage. The wireless sensing modules have been deployed in a potential landslide site for more than one year and current progress shows that feasibility of a customized, time-dependent warning system is promising.",
author = "Chang, {Wen Jong} and Huang, {An Bin} and Chou, {Shih Hsun} and Chen, {Jyh Fang}",
note = "Publisher Copyright: {\textcopyright} 2018, Springer Nature Switzerland AG.; China-Europe Conference on Geotechnical Engineering, 2016 ; Conference date: 13-08-2016 Through 16-08-2016",
year = "2018",
doi = "10.1007/978-3-319-97112-4_152",
language = "English",
isbn = "9783319971117",
series = "Springer Series in Geomechanics and Geoengineering",
publisher = "Springer Verlag",
pages = "681--684",
editor = "Wei Wu and Hai-Sui Yu",
booktitle = "Springer Series in Geomechanics and Geoengineering",
address = "Germany",
}