Problem Statement: FireMapSim-v2

Project Objectives

The primary objective of FireMapSim-v2 is to provide a modern, AI-assisted platform for wildfire simulation and geospatial analysis. It aims to bridge the gap between complex numerical simulation models (like DEVS-FIRE) and on-the-ground operational needs by providing an intuitive graphical interface and an intelligent agent to assist in simulation setup.

Motivation

Wildfire simulation setup is traditionally a high-friction process requiring:

• Precise geospatial coordinates for project boundaries and ignitions.
• Real-time weather data (wind speed, direction, temperature, humidity).
• Detailed fuel and terrain information.
• Manual configuration of simulation parameters (timesteps, cell resolution).

Operators in high-stress environments need a tool that can:

1. Automate data gathering: Fetch weather and geographic data based on simple user inputs (ZIP codes, addresses).
2. Simplify configuration: Use an AI agent to guide the user through the intake process, ensuring all required parameters are set.
3. Visualize results: Provide immediate, interactive feedback on a map to understand fire spread patterns.

Scope of the Project

FireMapSim-v2 encompasses the following scope:

• Interactive Map Interface: A Leaflet-based workspace for drawing project areas, ignitions, and fuel breaks.
• Agentic AI Orchestration: A Mastra-powered agent that maintains simulation state, suggests default values, and triggers backend execution.
• Service Integration: Connectivity with weather APIs for real-time conditions and a proxy to the DEVS-FIRE simulation engine.
• Data Life-cycle: Support for creating, resetting, and replaying simulations with local and cloud persistence.