Development of IoT sensing modulus for surficial slope failures

Wen-Jong Chang, An Bin Huang, Shih Hsun Chou, Jyh Fang Chen

Research output: Chapter in Book/Report/Conference proceedingConference contribution

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.

Original languageEnglish
Title of host publicationSpringer Series in Geomechanics and Geoengineering
EditorsWei Wu, Hai-Sui Yu
PublisherSpringer Verlag
Pages681-684
Number of pages4
Edition216849
ISBN (Print)9783319971117
DOIs
Publication statusPublished - 2018 Jan 1
EventChina-Europe Conference on Geotechnical Engineering, 2016 - Vienna, Austria
Duration: 2016 Aug 132016 Aug 16

Publication series

NameSpringer Series in Geomechanics and Geoengineering
Number216849
ISSN (Print)1866-8755
ISSN (Electronic)1866-8763

Other

OtherChina-Europe Conference on Geotechnical Engineering, 2016
CountryAustria
CityVienna
Period16-08-1316-08-16

Fingerprint

warning system
slope failure
Alarm systems
Rain
rainfall
slope stability
stability analysis
Slope stability
landslide
Landslides
infiltration
water content
Infiltration
communication
Water content
hydraulics
Hydraulics
monitoring
Soils
Internet of things

All Science Journal Classification (ASJC) codes

  • Geotechnical Engineering and Engineering Geology
  • Mechanics of Materials

Cite this

Chang, W-J., Huang, A. B., Chou, S. H., & Chen, J. F. (2018). Development of IoT sensing modulus for surficial slope failures. In W. Wu, & H-S. Yu (Eds.), Springer Series in Geomechanics and Geoengineering (216849 ed., pp. 681-684). (Springer Series in Geomechanics and Geoengineering; No. 216849). Springer Verlag. https://doi.org/10.1007/978-3-319-97112-4_152
Chang, Wen-Jong ; Huang, An Bin ; Chou, Shih Hsun ; Chen, Jyh Fang. / Development of IoT sensing modulus for surficial slope failures. Springer Series in Geomechanics and Geoengineering. editor / Wei Wu ; Hai-Sui Yu. 216849. ed. Springer Verlag, 2018. pp. 681-684 (Springer Series in Geomechanics and Geoengineering; 216849).
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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.",
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Chang, W-J, Huang, AB, Chou, SH & Chen, JF 2018, Development of IoT sensing modulus for surficial slope failures. in W Wu & H-S Yu (eds), Springer Series in Geomechanics and Geoengineering. 216849 edn, Springer Series in Geomechanics and Geoengineering, no. 216849, Springer Verlag, pp. 681-684, China-Europe Conference on Geotechnical Engineering, 2016, Vienna, Austria, 16-08-13. https://doi.org/10.1007/978-3-319-97112-4_152

Development of IoT sensing modulus for surficial slope failures. / Chang, Wen-Jong; Huang, An Bin; Chou, Shih Hsun; Chen, Jyh Fang.

Springer Series in Geomechanics and Geoengineering. ed. / Wei Wu; Hai-Sui Yu. 216849. ed. Springer Verlag, 2018. p. 681-684 (Springer Series in Geomechanics and Geoengineering; No. 216849).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

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N2 - 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.

AB - 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.

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Chang W-J, Huang AB, Chou SH, Chen JF. Development of IoT sensing modulus for surficial slope failures. In Wu W, Yu H-S, editors, Springer Series in Geomechanics and Geoengineering. 216849 ed. Springer Verlag. 2018. p. 681-684. (Springer Series in Geomechanics and Geoengineering; 216849). https://doi.org/10.1007/978-3-319-97112-4_152