A Smart IoT-Based Detection System for Remote Earth Movement of Highway Embankment

The slope movement of highway embankments generally occurs slower depending on climatic factors and man-made activities. The movement of earthen slopes, specially constructed with problematic expansive soil, is triggered by climatic conditions such as precipitation and temperature fluctuations. Often, the initial movement of the slope remains unsighted as the overall earthen slopes’ performance seems satisfactory. However, the initial movement of the slope causes the eventual major failure. Therefore, it is extremely important to monitor the slope’s movement periodically, especially for the slopes prone to failure or steep in nature, and timely actions be taken accordingly for the durability and resilience of the earthen slopes. However, it is not easy to monitor each slope periodically. This research would attempt to use different sensors such as Wi-Fi modules, moisture, and temperature sensors, tensiometers, and Internet of Things (IoT) sensors and actuators such as vibration, tilt, and motion sensors in the laboratory prototype embankment and develop an IoT-based detection system that can indicate the movement of the slope remotely. The project aims to investigate the remote detection of slope soil movement using IoT-based systematic and real-time data monitoring and correlate significant soil hydrologic and displacement parameters. The remote detection of soil movement to be investigated by IoT-based monitoring is anticipated to help the appropriate end users immediately repair the slope before a major failure occurs.

    Language

    • English

    Project

    • Status: Active
    • Funding: $555689
    • Contract Numbers:

      69A3552344813

    • Sponsor Organizations:

      Office of the Assistant Secretary for Research and Technology

      University Transportation Centers Program
      Department of Transportation
      Washington, DC  United States  20590
    • Managing Organizations:

      National Center for Infrastructure Transformation

      Prairie View A&M University
      Prairie View, TX  United States  77446
    • Performing Organizations:

      Prairie View A&M University

      Department of Civil & Environmental Engineering
      P.O. Box 519
      Prairie View, TX  United States  77446
    • Principal Investigators:

      Alam, Jobair

      Ahmed, Ahmed

    • Start Date: 20230901
    • Expected Completion Date: 20250831
    • Actual Completion Date: 0
    • USDOT Program: University Transportation Centers Program
    • Source Data: 01-08-PVAMU

    Subject/Index Terms

    Filing Info

    • Accession Number: 01893160
    • Record Type: Research project
    • Source Agency: National Center for Infrastructure Transformation
    • Contract Numbers: 69A3552344813
    • Files: UTC, RIP
    • Created Date: Sep 13 2023 12:39PM