Study on Monitoring for Detection of Potential Risk of Slope Failure for Labor Safety

A Study on the Slope Failure Monitoring of a Model Slope by the Application of a Displacement Sensor

“…In order to receive and analyse signals from the sensors, a method using a data logger connected through a wire to monitor the collected signals on a PC via a USB cable is typical [27,28,30]. However, this method has limitations in collecting data over a long period of time, and if the area to be observed is wide, a large number of data loggers are required, which is costly and requires significant manpower.…”

“…However, this method has limitations in collecting data over a long period of time, and if the area to be observed is wide, a large number of data loggers are required, which is costly and requires significant manpower. Therefore, in this study, we have upgraded the warning system developed by Tamate et al [27,28,30] into a slope monitoring system using the Internet of Things (IoT). The monitoring system, proposed in this study, in which displacement sensors is combined with IoT, is more efficient and easy to monitor slope failure compared to the previous method proposed by Tamate et al The warning system suggested by the previous studies was able to alert the slope failure only, but the upgraded monitoring system, proposed in this study, can send the slope movement data to the server in real-time through a wireless LoRa network, analyse the received data, and send the slope failure alert to users' smartphones.…”

“…The warning system proposed by Tamate and Hori [27] used dry cell battery, three cells in number, as a power supply that had an average running time of 20 days. But the IoT client, proposed in this study, is able to harvest solar energy to power itself.…”

“…Tamate and Hori [27] used an extensometer, a shear strainmeter, and an inclinometer to measure shear strain in the shallow depth of slope subsurface by excavating a fullscale model slope. The designed warning system had some drawbacks.…”

“…This increases the life and efficiency of the warning system, with less need for maintenance. Moreover, the warning system proposed by the previous studies [27][28][29][30] was targeted to raise alarm before the slope failure. But the warning system, proposed in this study, is able to receive the slope movement data in real time via a wireless LoRa network and analyse it.…”