SYSTEM AND METHOD FOR WILDFIRE SPREAD BEHAVIOR FORECASTING AND ON-PARCEL WILDFIRE RISK EVALUATION
A system and method for wildfire spread behavior forecasting and on-parcel wildfire risk evaluation is disclosed. An example embodiment comprises an autonomous planning agent that learns spatio-temporal distributions of firefighting equipment and personnel that minimize asset losses from wildfires i...
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| Format | Patent |
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| Language | English |
| Published |
28.03.2023
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| Online Access | Get full text |
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| Summary: | A system and method for wildfire spread behavior forecasting and on-parcel wildfire risk evaluation is disclosed. An example embodiment comprises an autonomous planning agent that learns spatio-temporal distributions of firefighting equipment and personnel that minimize asset losses from wildfires in the wildland urban interface. Drawing on large volumes of earth observation data and official incident status reports, the system utilizes artificial intelligence (AI) methods to develop a control system that produces expressive, spatiotemporally explicit resource assignment policies for use in a decision support system. In particular, the key components of the system are: (1) a neural-network-based fire behavior simulator capable of accurately modeling wildland fire ignition, spread, and control; (2) a learning algorithm that produces coherent firefighting strategies given current and forecast weather and fuel conditions; and (3) a wildfire hazard evaluation algorithm that evaluates the impact of home hardening, defensible space, and other common wildfire hazards found on residential parcels. |
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