FireAIDSS: Real-Time and In-Situ Reconstruction of Wildfire Thermofluid Dynamics Through Physics-Constrained Inverse PDE Modeling
ISEF · 2026 Physics and Astronomy
Overview
Wildfires pose significant threats to ecosystems and communities worldwide. While visible flames can be readily captured, the underlying thermofluidic processes governing atmospheric fire spread, today the leading cause of fire-related property destruction, remain uncharted. This project presents FireAIDSS, a novel framework for real-time and in-situ computation of thermofluidic wildfire dynamics using sparse data and conservation laws. FireAIDSS consists of a perception module and an action module. The perception module includes a Physics-Informed Attention-CNN model capable of reconstructing and predicting the transient evolution of temperature and velocity fields from sparse observations. The AI model is trained with CFD simulations and a multi-stage curriculum to enhance physical fidelity. The action module comprises an intelligent drone swarm built from low-cost platforms for multi-agent data collection. The two modules are linked by a feedback-based search strategy where predictions of the AI model optimize the next-step motion of the drone swarm, enabling efficient information gathering and rapid convergence to accurate reconstructions. In full-scale experimentation, FireAIDSS achieves an average temperature error of 2.97 K and wind velocity error of 0.08 m/s in a space of 2×2×1 m³ within 58s, meeting emergency response requirements in accuracy and efficiency. Across 200+ runs, it consistently maintains an update rate of 1.1 FPS and demonstrates collision-avoidance behaviors, highlighting its environmental robustness. As the first system making wildfire dynamics spatiotemporally resolved in real time, FireAIDSS democratizes wildfire intelligence and offers a scalable and cost-effective solution to building wildfire resilience across wildland and urban settings.
Awards (1)
- Third Award of $1,200 $1,200
Competition history
- ISEF 2026
Resources
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Source: Regeneron International Science and Engineering Fair