IoT-based Submarine Landslides Detection System

Demonstrate the prototype of submarine landslide detector using do-it-yourself model

Problem Statement

Submarine landslides pose a significant threat as they can trigger tsunamis, causing substantial damage to coastal communities. According to Indonesia’s National Disaster Management Agency (BNPB), submarine landslide-induced tsunamis are more prevalent than earthquake-induced tsunamis, which account for only 10% of cases. This underscores the critical need for an early warning system to mitigate the potential hazards of these events.

Traditional submarine landslide monitoring methods often rely on expensive and complex equipment, limiting their accessibility and scalability. However, recent advancements in microcontroller technology and the emergence of open-source platforms have created new opportunities for developing affordable and efficient submarine landslide detection systems. So therefore, this project proposes to leverage these technological advancements to create a cost-effective and accessible submarine landslide detection system.

Project Objectives

By utilizing ESP32 microcontrollers integrated with the ThingSpeak platform, we aim to develop a system that can:

  1. Provide real-time monitoring of submarine landslide activities at a fraction of the cost of traditional systems.
  2. Offer easy-to-interpret data visualization and analysis tools through ThingSpeak’s user-friendly interface.
  3. Enable widespread deployment due to its affordability, potentially increasing the coverage of monitored areas.
  4. Facilitate early warning capabilities, allowing for timely alerts to be issued to coastal communities at risk.

Project Details

  • Contributors: Haydar Amru Revanda, Syauqi Giffari Rachman
  • Course Context: This project was based on the final project of the Microcontroller course taught by Dr. Agfianto Eko Putra, M.Sc.

Documentation

Caption photos easily. On the left, a road goes through a tunnel. Middle, leaves artistically fall in a hipster photoshoot. Right, in another hipster photoshoot, a lumberjack grasps a handful of pine needles.

You can also put regular text between your rows of images. Say you wanted to write a little bit about your project before you posted the rest of the images. You describe how you toiled, sweated, bled for your project, and then… you reveal its glory in the next row of images.

You can also have artistically styled 2/3 + 1/3 images, like these.

The code is simple. Just wrap your images with <div class="col-sm"> and place them inside <div class="row"> (read more about the Bootstrap Grid system). To make images responsive, add img-fluid class to each; for rounded corners and shadows use rounded and z-depth-1 classes. Here’s the code for the last row of images above:

Potential Impact

This project aims to significantly improve the safety of coastal communities by providing an accessible and efficient submarine landslide detection system. By leveraging affordable technology and open-source platforms, it has the potential to be widely deployed, offering a scalable solution for tsunami risk mitigation in vulnerable coastal areas.

Access the Code

The code for this project can be accessed here.