Aggregation and analytics for application-specific optimization based on multiple data sources
First Claim
1. A method for assessing risk of flooding by aggregating and transforming data from a plurality of data sources, comprising:
- determining, for a supply chain spanning a plurality of geographical locations, a location of interest within the supply chain for flooding risk analysis;
determining a plurality of data sources that describe a physical environment of the location;
automatically ingressing, from selected ones of the plurality of sources, the data that describes the physical environment;
programmatically transforming the ingressed data into data maps that are aligned to one another to allow referencing therebetween;
evaluating risk of flooding pertaining to the location by using the aligned data maps as input to an evaluator selected from the group consisting of a simulation model and an analytic process, wherein processing performed by the evaluator comprises;
watershed delineation to determine a geographical boundary of a watershed area surrounding the location;
canopy interception analysis to determine an impact of physical canopy on an amount of rainfall that reaches a ground surface in the watershed area;
soil infiltration analysis to determine how rainfall reaching the ground surface will be absorbed into soil at the ground surface in the watershed area; and
2-dimensional diffusive routing to determine a flow of rainfall that reaches the ground surface in the watershed area but is not absorbed into the soil at the ground surface in the watershed area, the 2-dimensional diffusive routing comprising, for the non-absorbed rainfall, a mass of water flow and a momentum of the water flow; and
responsive to determining that the risk of flooding pertaining to the location exceeds a predetermined threshold, determining an alternative geographical location for at least one of the plurality of geographical locations within the supply chain to thereby avoid using, at least temporarily, the location of interest, wherein the alternative geographical location is determined by repeating the processing performed by the evaluator to evaluate risk of flooding pertaining to the alternative geographical location and determining that the risk of flooding pertaining to the alternative geographical location does not exceed the predetermined threshold.
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Accused Products
Abstract
Aggregating and transforming data, and performing analytics thereupon, for application-specific optimization based on multiple data sources. The data is preferably ingressed automatically, and may originate from various public and/or private data sources. Data transformation preferably aligns the data aggregated from the various sources, to thereby allow meaningful referencing. Complex and non-aligned data can therefore be consolidated, such that it is readily digestible by simulation (or other) software. In an embodiment, risk of flooding for a supply chain is computed from the aggregated and transformed data, using data analytics based on physical computation for flood risk assessment, allowing the supply chain to be optimized with regard to threat of flooding and/or actual flooding. In another embodiment, risk of wild fire may be assessed. Other types of risk may also be assessed.
15 Citations
16 Claims
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1. A method for assessing risk of flooding by aggregating and transforming data from a plurality of data sources, comprising:
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determining, for a supply chain spanning a plurality of geographical locations, a location of interest within the supply chain for flooding risk analysis; determining a plurality of data sources that describe a physical environment of the location; automatically ingressing, from selected ones of the plurality of sources, the data that describes the physical environment; programmatically transforming the ingressed data into data maps that are aligned to one another to allow referencing therebetween; evaluating risk of flooding pertaining to the location by using the aligned data maps as input to an evaluator selected from the group consisting of a simulation model and an analytic process, wherein processing performed by the evaluator comprises; watershed delineation to determine a geographical boundary of a watershed area surrounding the location; canopy interception analysis to determine an impact of physical canopy on an amount of rainfall that reaches a ground surface in the watershed area; soil infiltration analysis to determine how rainfall reaching the ground surface will be absorbed into soil at the ground surface in the watershed area; and 2-dimensional diffusive routing to determine a flow of rainfall that reaches the ground surface in the watershed area but is not absorbed into the soil at the ground surface in the watershed area, the 2-dimensional diffusive routing comprising, for the non-absorbed rainfall, a mass of water flow and a momentum of the water flow; and responsive to determining that the risk of flooding pertaining to the location exceeds a predetermined threshold, determining an alternative geographical location for at least one of the plurality of geographical locations within the supply chain to thereby avoid using, at least temporarily, the location of interest, wherein the alternative geographical location is determined by repeating the processing performed by the evaluator to evaluate risk of flooding pertaining to the alternative geographical location and determining that the risk of flooding pertaining to the alternative geographical location does not exceed the predetermined threshold. - View Dependent Claims (2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15)
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16. A method for assessing risk of wild fire by aggregating and transforming data from a plurality of data sources, comprising:
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determining, for a supply chain spanning a plurality of geographical locations, a location of interest within the supply chain for wild fire risk analysis; determining a plurality of data sources that describe a physical environment of the location; automatically ingressing, from selected ones of the plurality of sources, the data that describes the physical environment, wherein the ingressed data comprises; historical data pertaining to wind directions for a first area that includes the location; vegetation type information for a second area that includes the location; and soil moisture information for a third area that includes the location, and wherein the first area, the second area, and the third area may be overlapping or distinct; programmatically transforming the ingressed data into data maps that are aligned to one another to allow referencing therebetween; evaluating risk of wild fire pertaining to the location by using the aligned data maps as input to an evaluator selected from the group consisting of a simulation model and an analytic process; and responsive to determining that the risk of wild fire pertaining to the location exceeds a predetermined threshold, determining an alternative geographical location for at least one of the plurality of geographical locations within the supply chain to thereby avoid using, at least temporarily, the location of interest, wherein the alternative geographical location is determined by repeating the evaluating risk performed by the evaluator to evaluate risk of wild fire pertaining to the alternative geographical location and determining that the risk of wild fire pertaining to the alternative geographical location does not exceed the predetermined threshold.
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Specification