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ArticlePeer ReviewedOpen AccessPlagiarism Passed
Paper ID:IJSREM43738

Real-Time Landslide Monitoring and Alarm System

Stream/Area:

-

Subject:

-

Paper ID:

IJSREM43738

Volume:

9 |

4 |

Apr 2025

Pages:

Publication Frequency:

Monthly (12 issues per year)

DOI
Digital Object Identifier
10.55041/ijsrem43738

License:International Journal of Scientific Research in Engineering and Management follows the Creative Commons Attribution 4.0 (CC BY 4.0) License, allowing free use and distribution with proper attribution.

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Authors

DDS

Dr. D. Siva

CS

C. Sunitha

BS

B. Suresh

ASP

A. Sai Pranathi

PV

P. Vinod

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Abstract

Landslides pose a significant risk to communities worldwide, often resulting in substantial damage and loss of life. This project presents the design and implementation of a low-cost, efficient Landslide Monitoring System based on an ESP32 microcontroller, integrating both a MEMS accelerometer [1] (ADXL345) and a vibration sensor to detect early warning signs of landslides. The system is designed to differentiate between a mere vibration event, which indicates a preliminary instability, and a more severe tilt event that suggests an imminent landslide. Upon detection, the system triggers an audible alert via a buzzer and displays status information on an LCD, while simultaneously transmitting critical data to a remote web server for real-time monitoring and further analysis. This paper leverages the robust connectivity features of the [2] ESP32 to ensure that alerts and sensor data are rapidly communicated over Wi-Fi, allowing for timely intervention by local authorities or disaster management teams. Key software components include sensor data acquisition using the I2C protocol, sensor calibration, threshold-based decision making, and HTTP-based data upload routines.

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Cite This Article

Dr. D. Siva, C. Sunitha, B. Suresh, A. Sai Pranathi, P. Vinod, "Real-Time Landslide Monitoring and Alarm System," International Journal of Scientific Research in Engineering and Management, vol. 9, no. 4, Apr 2025. https://doi.org/10.55041/ijsrem43738

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Publication Date

4/4/2025

Peer Review Type

Double-Blind Peer Review

Review Rounds: 2

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5

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The authors declare no conflict of interest related to this research work.

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No funding information available for this research.

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