FloodSense Sensor
Overview
FloodSense is a flood mitigation solution that aims to create a cloud-based network of low-cost IoT-connected flood sensors designed for real-time water-level monitoring and data analysis used to predict flooding and help protect against the devastation of floods and storms. Our sensors will be deployed in flood-prone areas, transmitting water-level data to our web application for real-time visualization. Leveraging components such as Ultrasonic range sensors, LoRa antennas, IP67 housing, and solar panels to charge a battery, we can ensure the sensors measure accurate data, maintain long-range communication, remain durable and water-resilient, and continuously receive power for reliable operation. Utilizing the LoRaWAN protocol allows us to implement long-range communication with low power consumption while ensuring reliable and secure data transmission over the air. By using a Grafana-based web application, we can provide real-time visualization of water levels in an intuitive and sophisticated format using dynamic and customizable graphs and dashboards. Integrating cloud-based applications such as the Helium Network for robust, long-range connectivity and AWS for data ingestion and website deployment, we can deliver a scalable architecture that supports the seamless addition of new sensors, enabling us to grow our network of IoT flood sensors effectively.
Community Benefit
Every year, millions of people are affected by the devasting impacts of flooding caused by hurricanes and storms, with Florida experiencing more of these events than any other state in the U.S. The consequences of flooding are catastrophic, costly, and life-threatening, highlighting the urgent need for our community to have the resources needed to combat these challenges. We aim to have our FloodSense sensors deployed throughout Broward County to create a comprehensive network for real-time flood monitoring and prediction that will enhance community resilience and enable proactive measures against flooding.
Team Members
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