Systems, methods, and devices for predicting wildfire behaviour in real time

A sensor network integrated with AI enhances wildfire prediction accuracy by analyzing real-time environmental and geographical data, addressing the limitations of conventional systems and enabling timely and effective response to wildfires.

WO2026015969A1PCT designated stage Publication Date: 2026-01-22SENSENET INC
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Patent Information

Application Number
PCT/CA2024/051304
Authority / Receiving Office
WO · WO
Patent Type
Applications
Current Assignee / Owner
Priority Date
2024-07-19
Filing Date
2024-10-01
Publication Date
2026-01-22

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Abstract

A system, method, and server for wildfire behaviour in real time are provided. The system includes sensor subsystems for measuring geographical data and environmental data of a first area and an analysis server, the analysis server including a memory for storing environmental dynamics data and historical data, a simulation module for generating simulation data pertaining to the behaviour responsive to receiving the geographical data, the environmental data, and / or the environmental dynamics data or the historical data, a prediction module for generating a prediction model for predicting the behaviour by incorporating the geographical data, the environmental data, the environmental dynamics data, and / or the historical data into the prediction model, and an artificial intelligence engine configured to enable the prediction module to answer specific questions and learn from the simulation data and / or the predicted behaviour. Output of the AI engine is stored at the analysis server to iteratively improve the analysis server.
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Citation Information

Patent Citations

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