Real-Time Windspeed Exposure Mapping for Catastrophe Analysis
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Solution Overview
Problem
Insurers face challenges in determining how varying windspeed levels and storm surge levels affect insured customers and overall actuarial risk, lacking the ability to assess weather-related catastrophes in real-time, which impedes effective resource deployment and service provision during and after catastrophic events.
Innovation Solution
A system and method for visualizing weather data using a graphical user interface that allows users to filter and analyze wind speed probabilities and policy holder information, enabling real-time catastrophe analysis and deployment of unmanned aerial vehicles (UAVs) to assess insured assets before and after catastrophic events.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If insurers manually map and analyze large volumes of storm data, then they can assess catastrophic risk, but the process is inefficient and time-consuming
Solution Approach 1:
The patent replaces manual mechanical analysis methods with automated computer-based systems that process storm data, wind speed probabilities, and policy holder information electronically, dramatically reducing analysis time while maintaining or improving assessment accuracy
Solution Approach 2:
The system creates visual map layer representations of complex storm data and policy distributions, allowing analysts to quickly assess catastrophic risk through graphical copies of the data rather than analyzing raw numbers manually
2Reliability
If insurers retrieve storm information intermittently, then they can obtain storm data, but they lack real-time catastrophe assessment capability
Solution Approach 1:
The system enables continuous real-time processing and visualization of storm data, wind speed probabilities, and policy holder information, allowing insurers to maintain continuous catastrophe assessment capability rather than intermittent updates
Solution Approach 2:
The visual map layers provide immediate feedback on catastrophe exposure by displaying policy holder concentrations in areas with high wind speed probabilities, enabling rapid decision-making about resource deployment
3Measurement precision
If human analysts manually analyze large volumes of storm data, then they can identify high-risk areas, but the process lacks efficiency and cannot maximize preventative action
Solution Approach 1:
The system replaces manual analyst processes with automated computer-based visualization that quickly processes storm data and policy holder information to identify high-risk areas, dramatically improving productivity while maintaining identification accuracy
Solution Approach 2:
The visual map layers use color coding to represent different levels of wind speed probability and policy holder concentration, allowing rapid visual identification of high-risk areas without manual analysis
4Adaptability or versatility
If insurers lack real-time weather catastrophe assessment, then they cannot effectively stage resources, but manual methods are inefficient
Solution Approach 1:
The real-time visualization system provides continuous updates on storm progression and exposure, enabling dynamic and flexible resource deployment decisions based on current conditions rather than static historical data
Solution Approach 2:
The visual map layers serve as an intermediary between raw storm data and resource deployment decisions, translating complex data into actionable intelligence that guides efficient resource staging
Data Source
AI summary
A computer-implemented method for allowing a user to visualize exposure data to facilitate catastrophe analysis includes receiving a wind speed probabilities data set; selecting a count of policies; generating an exposure map layer; and transmitting the map layer to a client device. A non-transitory computer readable medium containing program instructions that when executed, cause a computer to: receive one or more map layers; display a set of filter criteria; receive an input of a user; and update the map graphical user interface.


