Patent ID: 9395707
Filing Date: 2016-07-19
CPC Classification: G05B,G06F,G06Q,H02J

Claim Text:
1. A dynamic contingency avoidance and mitigation system for determining and allocating the distribution, consumption, and supply of a resource within an infrastructure including a plurality of facilities, comprising: one or more processors, each having respective communication interfaces to receive infrastructure network data descriptive of said resource from said plurality of facilities, said infrastructure network data comprising information corresponding to the consumption and supply of said resource at the plurality of facilities; wherein said one or more processors are further configured to perform sequential Monte Carlo analysis using a topological model of the infrastructure on determined mean time between failure (MTBF) and mean time to repair (MTTR) to provide reliability statistics of the infrastructure in real time and predicted future time periods; one or more software applications, operatively coupled to and at least partially controlling said one or more processors, said one or more software applications comprising: a characterizer for generating characterized infrastructure network data based on at least a portion of said infrastructure network data and a predictor for: wherein the one or more software applications include a machine learning engine; a display, coupled to said one or more processors, for visually presenting a depiction of at least a portion of said infrastructure and said one or more proposed enhancements, based on at least one of: said characterized infrastructure network data and said predictive infrastructure network data; and one or more distribution controllers in communication with the one or more processors, to distribute the resource to or from the plurality of facilities based on at least one of: said characterized infrastructure network data and said predictive infrastructure network data.