Resource allocation and risk modeling for geographically distributed assets

US11244263B2 · kind B2 · utility

Assignee

• Risk Management Solutions, Inc. · US

Inventors

• Jordan Byk · Morristown, US
• Christopher Sams · San Francisco, US
• David Carttar · Lawrence, US
• Monalisa Samal
• Surender Kumar · Palatine, US

Key dates

• Filing date: Sep 13, 2019
• Grant date: Feb 8, 2022
• Expiry date: Sep 20, 2039

Classification

• Technology area (CPC G): Physics
• CPC primary: G06Q10/06315
• WIPO field: IT methods for management
• WIPO sector: Electrical engineering

Abstract

A risk exposure model is developed for network or moveable assets not specific to a single, fixed address or location. An asset map using a plurality of geographic representation points is used to identify the physical locations of the asset portions (or possible physical locations in the case of a moveable asset). Baseline geographic, geologic, political, and demographic data is similarly represented using geographic representation points. Meta-data associated with each geographic representation point is used to identify details related to the asset or baseline feature at that geographic location. Risk exposure values are then calculated using the geographic representation points specific to the asset portions that are subject to risks associated with the location of the asset portion.