System for Monitoring Slopes and Landslides Detection Based On IOT

Authors: Vidya Adinath Patole, Geeta Suresh Pingale, Jayashri Uttam Gadakh, Divya Yogesh Ipar, Dr. Rokade P.P., Prof. Wadghule Y.M.

Country: India

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Abstract: Landslides and slope failures pose significant risks to communities, particularly in areas susceptible to heavy rainfall and soil saturation. To address this pressing issue, we propose a comprehensive real-time monitoring and early warning system utilizing a hardware prototype integrated with LoRa (Long Range) communication technology. This system is designed to enhance public safety by providing timely alerts for potential landslide events. The hardware prototype incorporates advanced rainfall and soil moisture sensors to continuously monitor environmental conditions. These sensors are programmed to trigger alarms when critical thresholdsindicative of increased landslide riskarereached, facilitating immediate responses from relevant authorities and communities.
The user interface of the system is a mobile Android application that allows users to register based on their district, ensuring that notifications are tailored to their specific geographical locations. In the event of a detected landslide or slope failure, the application efficiently disseminates targeted notifications to users in the affected area, informing them of the imminent danger and providing guidance on necessary precautions. This dual-layered approach not only fosters a proactive response to potential disasters but also empowers residents with crucial information to enhance their preparedness and resilience.
Furthermore, the integration of LoRa communication technology enables long-range connectivity with low power consumption, making the system suitable for deployment in remote or rural areas where traditional communication networks may be unreliable. By merging cutting-edge sensor technology with a user-friendly mobile platform, this innovative system aims to
Significantly reduce the risks associated with landslides, ultimately saving lives and minimizing property damage. Through ongoing development and community engagement, we envision a robust early warning system that serves as a vital resource for disaster risk management and public safety in landslide-prone regions.

Keywords: Landslide Monitoring, Slope Failure Detection, Real-Time Monitoring, Early Warning System, LoRa Communication, Rainfall Sensors, Soil Moisture Sensors, Environmental Monitoring, Disaster Risk Management, Android Application, User Notification System, Targeted Alerts.

Paper Id: 231548

Published On: 2024-11-09

Published In: Volume 12, Issue 6, November-December 2024

Cite This: System for Monitoring Slopes and Landslides Detection Based On IOT - Vidya Adinath Patole, Geeta Suresh Pingale, Jayashri Uttam Gadakh, Divya Yogesh Ipar, Dr. Rokade P.P., Prof. Wadghule Y.M. - IJIRMPS Volume 12, Issue 6, November-December 2024.

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