Design And Characterization Of Strain Sensor For Landslide Early Warning Detection Via IoT Platform

Iskandar Md Zainalabidin, Nur Alia Batrisyia (2018) Design And Characterization Of Strain Sensor For Landslide Early Warning Detection Via IoT Platform. Project Report. UTeM, Melaka, Malaysia. (Submitted)

Text (24 Pages) Design And Characterization Of Strain Sensor For Landslide Early Warning Detection Via IoT Platform.pdf - Submitted Version Download (342kB)

Abstract

Landslides are among several phenomenon which causes serious damage to roadside, highways and properties. This happens usually during monsoon season where heavy rainfall could trigger the landslide and causing damages without warning. Landslides near the highways could cause injuries and fatal accidents to the road user. Therefore, the land near these critical areas need to be closely monitored. This project involved the design and characterization the strain sensor to detect the soil movement and provide early warning of possible landslide to happen. The soil movement sensor is designed using strain gauge and supported by vibration sensor with amplifiers. The system will implemented and monitored via IoT platform. Four strain gauges are connected in the form of Wheatstone-bridge arranged on a steel rod to sense the compression and tension difference translated in the form of voltage. Then the data are transmitted to IoT platform for analysis to predict the soil movement which could indicate a possible landslide.

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