EarthPulse: AIOT and Blockchain- Enabled Early Landslide Detection & Alert System

Authors

  • Dr. Sakthivel A, Kabilan R. V, Bragadeesh Sellappa R. S, Lalit S, Heruthick. P Author

DOI:

https://doi.org/10.7492/z5hetb98

Abstract

 Landslides are among the most destructive natural disasters, causing significant loss of life, property, and infrastructure each year. The absence of early warning systems, coupled with delayed communication between authorities and affected communities, amplifies disaster impact. EarthPulse presents an AIoT (Artificial Intelligence of Things) and Blockchain-enabled early warning system that integrates multi-sensor data collection, predictive analytics, and transparent information management. The proposed framework utilizes soil moisture, vibration, rainfall, and pressure sensors connected via LoRaWAN for long-range, low-power transmission. Collected data are processed through AI/ML-based predictive models to forecast landslide risks and disseminate alerts via Email and Call in real-time. A blockchain ledger ensures transparency by logging all alerts and responses. The system provides a scalable, low-cost, and accountable solution for early disaster management, improving public safety and response efficiency.

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Published

1990-2026

Issue

Section

Articles

How to Cite

EarthPulse: AIOT and Blockchain- Enabled Early Landslide Detection & Alert System. (2026). MSW Management Journal, 36(1), 3627-3630. https://doi.org/10.7492/z5hetb98