Designing a Smart IoT Device for Erosion Monitoring and Early Warning Notifications

Abstract

The Smart IoT Erosion Monitoring Device is a powerful solution to address the growing issue of erosion. Using an ESP32 microcontroller, this device combines real-time sensor data with OpenWeather API information to detect and evaluate erosion risks. It employs a five-stage alert system, sending notifications via WhatsApp, Telegram, SMS, and email to warn communities about impending erosion threats. A user-friendly web application, powered by JavaScript and a NoSQL database, complements the device by providing data visualization and management capabilities. This project showcases an innovative approach to erosion monitoring, offering timely alerts and valuable weather insights to safeguard communities.

Introduction

Erosion poses a significant threat to many communities around the world, leading to property damage, loss of agricultural land, and even endangering lives. To address this challenge, a novel IoT (Internet of Things) device has been designed and implemented. This device not only monitors erosion but also provides early warning notifications via WhatsApp, Telegram, SMS, and email, ensuring that communities are well-prepared to respond to potential dangers. In addition, it offers daily weather reports using the OpenWeather API and employs various sensors to assess the severity of erosion, ultimately broadcasting messages to communities in a five-stage alert system. This article provides an overview of the methodology and implementation of this groundbreaking IoT project, which utilizes an ESP32 microcontroller, SMS, Telegram, WhatsApp APIs, PlatformIO for firmware programming, and a JavaScript-based web application with a NoSQL database.

Methodology

1. Hardware Selection:

   The project utilized an ESP32 microcontroller for its low power consumption, wireless capabilities, and compatibility with a wide range of sensors.

2. Sensor Integration:

   Various sensors were integrated into the device to collect erosion-related data. The ESP32 reads and processes this data in real-time.

3. OpenWeather API Integration:

   The device accesses the OpenWeather API to gather daily weather information, including cloud cover data, which is crucial for erosion risk assessment.

4. Alert System Development:

   The project implemented a five-stage alert system to classify erosion risks into tolerance levels. The device analyzes sensor data, compares it with historical data, and sends alerts accordingly.

5. Communication Protocols:

   WhatsApp, Telegram, SMS, and email APIs were integrated into the device to ensure that communities receive timely notifications. These notifications include erosion risk levels and weather updates.

6. Web Application Development:

   A user-friendly web application was designed using JavaScript and a NoSQL database. It allows users to visualize erosion data, configure device settings, and receive alerts through a web interface.

7. Testing and Calibration:

   The device underwent rigorous testing and calibration to ensure its accuracy in erosion detection and alert generation.

Conclusion

The Smart IoT Erosion Monitoring Device represents a significant advancement in erosion mitigation technology. By combining real-time sensor data with daily weather reports from the OpenWeather API, this device provides communities with early warnings and notifications through WhatsApp, Telegram, SMS, and email. The five-stage alert system allows users to assess the severity of erosion risks, enabling timely and informed decision-making. The integration of the ESP32 microcontroller, various sensors, communication APIs, and a web application underscores the project's innovation and effectiveness in addressing erosion challenges. As erosion continues to threaten communities worldwide, this IoT solution offers a proactive and robust approach to safeguarding lives and resources.