Technical Papers
Jul 31, 2021

Real-Time Slope Monitoring System and Risk Communication among Various Parties: Case Study for a Large-Scale Slope in Shenzhen, China

Publication: ASCE-ASME Journal of Risk and Uncertainty in Engineering Systems, Part A: Civil Engineering
Volume 7, Issue 4

Abstract

This paper proposes the architecture of a real-time slope monitoring system based on the Internet of Things (IoT), which consists of a sensing layer, data acquisition layer, cloud computing layer, and client layer. The slope monitoring system was deployed in a large-scale slope in Shenzhen, China, which was estimated to be stable using slope stability analysis. However, a locally shallow landslide had occurred on the slope, meaning that the slope stability analysis method failed to indicate the slope failure. Conversely, through the monitoring results, it is found that the slope body is still under active movement. Besides, the advantages of a real-time slope monitoring system in risk communication among various parties are demonstrated by the case study. Wherein, the proposed monitoring system can produce more convincing, transparent, and temporal information regarding the state of slope safety than those by the manual monitoring technique. Furthermore, the monitoring data reflect the importance of detecting the internal displacement, as the indices for the facing displacement may be unable to indicate the actual movement of soils. That is particularly significant when considering a slope with supporting structures.

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Data Availability Statement

All data that support the findings of this study are available from the corresponding author upon reasonable request.

Acknowledgments

We would like to thank the Baolong urban neighbourhood office of the Shenzhen Longgang District government for funding the project and allowing access and logistic support to the study area.

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Go to ASCE-ASME Journal of Risk and Uncertainty in Engineering Systems, Part A: Civil Engineering
ASCE-ASME Journal of Risk and Uncertainty in Engineering Systems, Part A: Civil Engineering
Volume 7Issue 4December 2021

History

Received: Nov 20, 2020
Accepted: May 10, 2021
Published online: Jul 31, 2021
Published in print: Dec 1, 2021
Discussion open until: Dec 31, 2021

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Authors

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Technical Director, Dept. of Research and Development, Shenzhen Antai Data Monitoring Technology Co., Ltd., Shenzhen, Guangdong 518100, PR China. Email: [email protected]
Associate Professor, Dept. of Civil Engineering, Tsinghua Univ., Beijing 100084, PR China. ORCID: https://orcid.org/0000-0002-1113-8465. Email: [email protected]
Ph.D. Candidate, Dept. of Civil and Environmental Engineering, Hong Kong Polytechnic Univ., Hong Kong (corresponding author). ORCID: https://orcid.org/0000-0001-6157-4268. Email: [email protected]

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Cited by

  • Intelligent Landfill Slope Monitoring System and Data Analysis: Case Study for a Landfill Slope in Shenzhen, China, ASCE-ASME Journal of Risk and Uncertainty in Engineering Systems, Part A: Civil Engineering, 10.1061/AJRUA6.RUENG-1373, 10, 4, (2024).
  • A multi-method approach for slope stability assessment: a case study at Anglogold Ashanti Iduapriem Mine, Ghana, Modeling Earth Systems and Environment, 10.1007/s40808-024-01978-5, (2024).

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