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US 12,667,739 B2Granted
System and method for wildfire risk assessment, mitigation and monitoring for building structures
AssigneeFortress Wildfire Insurance Group
InventorsJohn Wall, Michael O'Dell
Life of this patent
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Abstract
There is a system and method for wildfire loss assessment for a building structure, or a set of building structures, comprising obtaining a building structure dataset; receiving, by a computer system, computer-readable input data regarding one or more fuel sources, in the proximity of the building structure location, that may cause the building structure to ignite; correlating and combining the building structure dataset with the fuel source dataset; determining, by the computer system, an ignition potential for the building structure based on the one or more fuel sources; and outputting a report of the ignition potential for the building structure.
Claims20
A method comprising:
- receiving at least one image of a property, wherein the property comprises at least one primary structure;
- identifying structural features of the at least one primary structure by:
- determining an inventory of exterior features of each at least one primary structure on the property, wherein the exterior features are located along a perimeter of the at least one primary structure and include dimensions and material composition;
- utilizing a machine learning feature detection algorithm on each of the at least one image to characterize primary structural features necessary to model fire susceptibility;
- determining at least one non-primary structure fuel source on the property and surrounding the property by:
- utilizing a machine learning fuel load algorithm for:
- detecting major vegetation including at least one of a tree and a shrub;
- detecting secondary structures including at least one of a shed and a fence;
- detecting neighboring rooftops within a distance of the primary structure that would contribute to advancement of a wildfire;
- and
- detecting at least one of a footprint of the primary structure, roof characteristics of the primary structure, and local topological features, wherein the local topological features include at least one of a slope, a road, a hydrant, and an arroyo;
- determining a feature-specific attribute for each of the structural features of the at least one primary structure and for features of each of the at least one non-primary structure fuel sources;
- and
- calculating a fuel load in terms of thermal energy generation potential utilizing the feature-specific attributes.
11 more elements
A computing apparatus comprising:
- a processor;
- and
- a memory storing instructions that, when executed by the processor, configure the apparatus to:
- receive at least one image of a property, wherein the property comprises at least one primary structure;
- identify structural features of the at least one primary structure by:
- determine an inventory of exterior features of each at least one primary structure on the property, wherein the exterior features are located along a perimeter of the at least one primary structure and include dimensions and material composition;
- utilize a machine learning feature detection algorithm on each of the at least one image to characterize primary structural features necessary to model fire susceptibility;
- determine at least one non-primary structure fuel source on the property and surrounding the property by:
- utilize a machine learning fuel load algorithm for:
- detect major vegetation including at least one of a tree and a shrub;
- detect secondary structures including at least one of a shed and a fence;
- detect neighboring rooftops within a distance of the primary structure that would contribute to advancement of a wildfire;
- and
- detect at least one of a footprint of the primary structure, roof characteristics of the primary structure, and local topological features, wherein the local topological features include at least one of a slope, a road, a hydrant, and an arroyo;
- determine a feature-specific attribute for each of the structural features of the at least one primary structure and for features of each of the at least one non-primary structure fuel sources;
- and
- calculate a fuel load in terms of thermal energy generation potential utilizing the feature-specific attributes.
14 more elements
Dependencies are inferred from the claim text.