Demo Abstract: DOME – IoT-Based Monitoring Emergent Events for Wildland Fire Resilience
Fangqi Liu, Tung-Chun Chang, Kevin Liu, Cyrus Li, Sachin Krishan Thyaharajan, Sideshwar Jappeswaran Balasubramanian, Nalini Venkatasubramanian · 2023
We present DOME, an IoT monitoring system that employs mobile drones and in-situ IoT devices to gather real-time data for situational awareness during emergent and evolving events, with a focus on wildland fires. DOME integrates, and processes all collected sensing data and presents a dashboard that displays the dynamic status of various features, including fire, weather, and air quality. Based on the perceived fire status and wind conditions, DOME leverages physics-based fire models to predict the future evolution of the fire. Moreover, DOME integrates algorithms that plan the flight of multiple drones and control their motions to support automatic drone-based mobile sensing. This feature enables efficient data collection and enhances the system’s overall monitoring capabilities.