Overview

The IoT Flood Monitoring System in Rwanda is a web-based project designed to monitor and alert the population about flooding in Kigali, Rwanda. The system focuses on two locations, Mpazi brook and Rwampara brook, which contribute to the Nyabugogo flood. The primary goal of this project is to provide a real-time flood monitoring system that can collect, receive, and analyze data from various sensors and send alerts to public authorities based on a determined threshold value.

Components Needed

To build this project, the following components are required:

• Ultrasonic sensor for measuring water level changes
• Raindrop sensor for measuring rain intensity
• NodeMCU for collecting data from sensors
• MQTT (Message Query Telemetry Transport) Protocol for publishing data to ThingSpeak
• ThingSpeak web-based application for data analysis and alerting

How It Works

The flood monitoring system works as follows: each location has a flood detector system composed of an ultrasonic sensor, a raindrop sensor, and a NodeMCU. The ultrasonic sensor measures the changes in the water level of the brook, while the raindrop sensor measures the rain intensity. The NodeMCU collects data from these sensors and publishes it to ThingSpeak using the MQTT Protocol. The data is then analyzed, and if the water level exceeds a determined threshold value, an alerting message is sent to public authorities.

The water level is used as a flood indicator, and it can be monitored remotely. The system provides real-time data, enabling public authorities to be informed about the rise of water levels and to take necessary actions to prevent or mitigate flood damage.

Applications

The IoT Flood Monitoring System in Rwanda has various applications, including:

• Real-time flood monitoring and alerting
• Early warning systems for flood prevention and mitigation
• Environmental monitoring and conservation
• Disaster management and response
• Research and development of flood monitoring systems

The system can be used by public authorities, researchers, and hobbyists to monitor and study flood patterns, ultimately contributing to the development of more effective flood management strategies.