The patent badge is an abbreviated version of the USPTO patent document. The patent badge does contain a link to the full patent document.
The patent badge is an abbreviated version of the USPTO patent document. The patent badge covers the following: Patent number, Date patent was issued, Date patent was filed, Title of the patent, Applicant, Inventor, Assignee, Attorney firm, Primary examiner, Assistant examiner, CPCs, and Abstract. The patent badge does contain a link to the full patent document (in Adobe Acrobat format, aka pdf). To download or print any patent click here.
Patent No.:
Date of Patent:
Feb. 28, 2012
Filed:
Mar. 23, 2009
Zhenyu Huang, Richland, WA (US);
Pak Chung Wong, Richland, WA (US);
Jian MA, Richland, WA (US);
Patrick S Mackey, Richland, WA (US);
Yousu Chen, Richland, WA (US);
Kevin P Schneider, Seattle, WA (US);
Zhenyu Huang, Richland, WA (US);
Pak Chung Wong, Richland, WA (US);
Jian Ma, Richland, WA (US);
Patrick S Mackey, Richland, WA (US);
Yousu Chen, Richland, WA (US);
Kevin P Schneider, Seattle, WA (US);
Battelle Memorial Institute, Richland, WA (US);
Abstract
Methods and systems for automated decision support in analyzing operation data from a complex network. Embodiments of the present invention utilize these algorithms and techniques not only to characterize the past and present condition of a complex network, but also to predict future conditions to help operators anticipate deteriorating and/or problem situations. In particular, embodiments of the present invention characterize network conditions from operation data using a state estimator. Contingency scenarios can then be generated based on those network conditions. For at least a portion of all of the contingency scenarios, risk indices are determined that describe the potential impact of each of those scenarios. Contingency scenarios with risk indices are presented visually as graphical representations in the context of a visual representation of the complex network. Analysis of the historical risk indices based on the graphical representations can then provide trends that allow for prediction of future network conditions.