2021
DOI: 10.2991/ahe.k.210205.084
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Prototype Design of Landslide Early Detection System Using LoRa and IoT

Abstract: This paper proposes a simple and low-cost landslide early detection system design. This system uses two sensors, namely the HC-SR04 ultrasonic sensor, to detect the soil movement and the YL-69 soil moisture sensor to detect soil moisture levels. Sensor data is processed using Arduino Uno. The soil movement and soil moisture data are sent to the receiving node using the LoRa communication system so that residents around locations with the potential for landslides can access data from the sensor nodes for free. … Show more

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Cited by 5 publications
(3 citation statements)
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References 7 publications
(13 reference statements)
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“…Table 4.1 shows a functional test for the selection of display output depending on the reading soil moisture. Vibration sensor give reading when earthquake happened and soil moisture sensor gain data when there is water in the ground [10]. Ultrasonic sensor detects rockfall near the project.…”
Section: Hardware Prototypementioning
confidence: 99%
“…Table 4.1 shows a functional test for the selection of display output depending on the reading soil moisture. Vibration sensor give reading when earthquake happened and soil moisture sensor gain data when there is water in the ground [10]. Ultrasonic sensor detects rockfall near the project.…”
Section: Hardware Prototypementioning
confidence: 99%
“…Several experiments have resulted in the development of electronic instrument designs capable of observing and detecting signs of landslides using a variety of methods. [3] Landslide monitoring has become increasingly reliable in current years, thanks to the ongoing development in the field of landslide monitoring, alerting and forecasting instruments, contents, and methods. [4] Table .5 shows the related works done by some of the researchers in the field of disaster management and monitoring.…”
Section: Related Workmentioning
confidence: 99%
“…Roadway landslide are monitored and detected through image processing techniques and intimated to vehicles through vehicle-to-vehicle (V2V), infrastructure-to-vehicle(I2V) communications. Taqwa, Ahmad, et al [3] designed a simple and low cost early landslide detection system using LoRa and IoT. They have used two sensors: HC-SR04 ultrasonic sensor to detect the soil movement and YL-69, a soil-moisture sensor detects the moisture content of soil.…”
Section: Related Workmentioning
confidence: 99%