UTILITY RESOURCE ASSET MANAGEMENT SYSTEM
First Claim
Patent Images
1. A processor-implemented method for utility threat modeling and resource allocation, comprising:
- receiving fixed-location utility asset data for a given region;
receiving geographic and ecological data for the given region;
receiving historical weather data for the given region;
receiving historical fixed-location utility asset functionality data for the given region;
generating, via a processor, aggregate utility asset polygon data, the generation of the aggregate utility asset polygon data including;
identifying unique feeders, and for each feeder, selecting specified conductors in a specified feeder segment, determining an aggregate polygon buffer around conductor features, selecting network connected assets, selecting non-network connected assets based on the polygon buffer, updating polygon attributes with related asset information from the network connected assets and non-network connected assets to generate utility asset polygon data, and reducing the number of vertices and polygon complexity to provide aggregate utility asset polygon data;
generating via a processor a predictive fixed-location utility outage determination based on the fixed-location utility asset data, the geographic and ecological data, the historical weather data, historical fixed-location utility asset functionality data, and aggregate utility asset polygon data;
receiving current weather data for the region;
determining a future fixed-location utility asset functionality prediction result using the predictive fixed-location utility outage determination based on the current weather data as input to the predictive fixed-location utility outage determination in order to generate a prediction output;
outputting the predicted current utility asset functionality result to a user via an electronic interface;
receiving real-time fixed-location utility asset functionality data for the region;
dynamically altering the predictive fixed-location utility outage determination based on the real-time fixed-location utility asset functionality data;
determining a second current utility asset functionality prediction result with the dynamically-altered predictive fixed-location utility outage determination; and
outputting the second current utility asset functionality result to the user via an electronic interface.
1 Assignment
0 Petitions
Accused Products
Abstract
The UTILITY RESOURCE ASSET MANAGEMENT SYSTEM APPARATUSES, METHODS AND SYSTEMS (“URAMS”) transform weather, terrain, and utility asset parameter data via URAMS components into damage predictions with confidence metrics, alerts, and asset allocation and response plans.
-
Citations
20 Claims
-
1. A processor-implemented method for utility threat modeling and resource allocation, comprising:
-
receiving fixed-location utility asset data for a given region; receiving geographic and ecological data for the given region; receiving historical weather data for the given region; receiving historical fixed-location utility asset functionality data for the given region; generating, via a processor, aggregate utility asset polygon data, the generation of the aggregate utility asset polygon data including;
identifying unique feeders, and for each feeder, selecting specified conductors in a specified feeder segment, determining an aggregate polygon buffer around conductor features, selecting network connected assets, selecting non-network connected assets based on the polygon buffer, updating polygon attributes with related asset information from the network connected assets and non-network connected assets to generate utility asset polygon data, and reducing the number of vertices and polygon complexity to provide aggregate utility asset polygon data;generating via a processor a predictive fixed-location utility outage determination based on the fixed-location utility asset data, the geographic and ecological data, the historical weather data, historical fixed-location utility asset functionality data, and aggregate utility asset polygon data; receiving current weather data for the region; determining a future fixed-location utility asset functionality prediction result using the predictive fixed-location utility outage determination based on the current weather data as input to the predictive fixed-location utility outage determination in order to generate a prediction output; outputting the predicted current utility asset functionality result to a user via an electronic interface; receiving real-time fixed-location utility asset functionality data for the region; dynamically altering the predictive fixed-location utility outage determination based on the real-time fixed-location utility asset functionality data; determining a second current utility asset functionality prediction result with the dynamically-altered predictive fixed-location utility outage determination; and outputting the second current utility asset functionality result to the user via an electronic interface. - View Dependent Claims (2, 3, 4, 5, 6, 7, 8, 9, 10)
-
-
11. A processor-implemented method for providing a predictive utility asset damage and response interface, comprising:
-
receiving fixed-location utility asset data for a given area; receiving historical fixed-location utility asset damage data associated with the fixed-location utility asset data; receiving geographic data and ecological data for the given area; receiving historical weather data for the given area; accessing at least one damage model; defining a utility asset map based on the fixed-location utility asset data, the geographic data, and the ecological data; receiving current weather data for the area; generating via a processor a predictive utility asset damage forecast using the at least one damage model and based on the utility asset map, the historical fixed-location utility asset damage data, the historical weather data, and the current weather data; determining confidence metric data for the utility asset damage forecast; integrating the confidence metric data with the predictive utility asset damage forecast to define an initial predictive utility asset damage forecast with integrated confidence metric data; and outputting the predictive utility asset damage forecast with integrated confidence metric data as a dynamically scalable utility asset map overlay for presentation to at least one user via an electronic interface. - View Dependent Claims (12, 13, 14, 15, 16, 17, 18, 19, 20)
-
Specification