Damage data propagation in predictor of structural damage

This invention describes a computer system that predicts how much damage a disaster, specifically an earthquake, has caused to buildings in a geographical area. It starts with initial estimates for city blocks. When actual damage information for a building becomes available, the system updates the estimate for that building's block. Then, it identifies nearby blocks with similar characteristics and adjusts their damage estimates based on the new information, effectively spreading the updated knowledge.

Why it matters: The patent was filed before the widespread adoption of advanced machine learning models and cloud-based geospatial processing, which could significantly enhance the accuracy and real-time capabilities of such a damage prediction and propagation system.

Status: Not in forceListed as no longer active. The specific reason is not in the record we hold.
How hard to build: SpecializedMachine learning, software logic, data processing

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