Geospatial Hazard Risk Assessment Server
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Solution Overview
Problem
Traditional hazard risk assessment methods rely on single-factor geospatial operations, leading to inaccurate and outdated risk scores that provide a false sense of security and do not account for real-time data, failing to consider multiple factors in determining hazard risks associated with geographical locations.
Innovation Solution
A method and system that assess hazard risks by a server dynamically evaluating multiple factors through geospatial operations and historical hazard data to determine first, second, and third risk scores, which are communicated to users on-the-fly, improving accuracy and reliability.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If traditional single-factor geospatial operations are used to determine hazard risk scores, then the assessment process is simple, but the accuracy and reliability of risk scores deteriorate
Solution Approach 1:
The patent segments the hazard risk assessment into multiple independent factors (flood risk, fire risk, earthquake risk, etc.), each evaluated separately through geospatial operations. This allows comprehensive multi-factor analysis while maintaining manageable complexity through modular processing of each risk type.
Solution Approach 2:
The patent merges multiple single-factor risk assessments into a comprehensive multi-factor hazard risk score. By combining results from various geospatial operations (point-in-polygon, distance-to-line, etc.) across different hazard types, the system achieves accurate and reliable risk assessment that reflects real-world complexity.
2Reliability
If hazard risk scores are determined beforehand and embedded in geospatial files, then the assessment process is efficient, but the data becomes outdated and fails to reflect real-time conditions
Solution Approach 1:
The patent implements dynamic hazard risk assessment where risk scores are calculated on-demand based on current geospatial data and historical hazard information. Instead of static pre-computed values, the system performs real-time geospatial operations (point-in-polygon for flood zones, distance-to-line for fire zones, etc.) to generate up-to-date risk scores that reflect current conditions.
Solution Approach 2:
The patent prepares geospatial data files with hazard zone boundaries, historical hazard data, and risk parameters in advance. This preliminary preparation enables efficient real-time assessment by having all necessary spatial data ready for rapid geospatial operations when risk scores are requested, balancing pre-computation efficiency with real-time accuracy.
3Measurement precision
If multiple factors are considered in hazard risk assessment, then the accuracy of risk scores improves, but the complexity of data processing and geospatial operations increases
Solution Approach 1:
The patent divides multi-factor hazard risk assessment into separate geospatial operations for each hazard type (flood, fire, earthquake, etc.). Each factor is processed independently using appropriate geospatial methods (point-in-polygon for flood zones, distance-to-line for fire zones), reducing overall complexity through modular segmentation of the assessment process.
Solution Approach 2:
The patent employs a universal geospatial processing framework that handles multiple hazard types through standardized operations. The system uses common geospatial techniques (point-in-polygon, distance-to-line, buffer analysis) across different hazard types, reducing complexity by applying multi-functional processing methods rather than requiring separate specialized operations for each hazard type.
4Measurement precision
If geospatial files are rebuilt to incorporate additional data, then the accuracy of risk scores improves, but the time and resources required for updates increase
Solution Approach 1:
The patent pre-processes and stores hazard zone boundaries, historical hazard data, and risk parameters in structured geospatial files during data preparation phases. This preliminary organization of multi-factor data enables rapid on-demand risk assessment without requiring time-consuming file rebuilds, as all necessary spatial data is already formatted for efficient geospatial operations.
Solution Approach 2:
The patent uses reference copies of hazard zone boundaries and historical hazard data stored in geospatial files. Instead of rebuilding entire geospatial files when new data arrives, the system incorporates updates by referencing or copying specific hazard layer data into the assessment process, reducing update time while maintaining accuracy through current data copies.
Data Source
AI summary
A method and a system for assessing hazard risks associated with geographical locations are provided. The server receives information associated with a geographical location from a user device. The server identifies a hazard associated with the geographical location based on the historical hazard data. The server retrieves one or more files associated with the hazard. The server determines a first risk score for the geographical location based on at least the one or more files or a first set of rules associated with the hazard. The server determines a second risk score for the geographical location based on at least the one or more files or a second set of rules associated with the hazard. The server determines the second risk score when a criterion associated with the hazard is met. The server communicates at least one of the first risk score or the second risk score to a user.