IP Library Granted Patent US 9,923,778
Granted Patent B2
US 9,923,778 · App. 14/665,398 · Granted Mar 20, 2018

Network management based on assessment of topological robustness and criticality of assets

Inventors: Aanchal Aggarwal (White Plains, NY); Harsh Chaudhary (Ossining, NY); Yakup Koç (South Holland, NL); Younghun Kim (White Plains, NY); Tarun Kumar (Mohegan Lake, NY); Abhishek Raman (Mahopac, NY)
Assignee: Utopus Insights, Inc.
H04L41/12H04L41/145H04L45/22H04L43/0811Y04S40/164Y04S40/168
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Quick Facts
Patent No.
US 9,923,778
App. No.
14/665,398
Granted
Mar 20, 2018
Kind
B2
Abstract

A system and method of managing a network that includes assets are described. The method includes modeling the network as a directed graph with each of the assets represented as a node and determining alternative paths to each node from each available corresponding source of the node. The method also includes computing upstream robustness of each node, computing upstream robustness of the network, and computing downstream criticality of each node. Managing the network and each asset of the network is based on the upstream robustness and the downstream criticality of each node.

Claims (32)

1. A method of managing a network that includes assets, the method comprising:

modeling, using a processor, the network as a directed graph with each of the assets represented as a node;

determining, using the processor, alternative paths to each node from each available corresponding source of the node;

computing upstream robustness of each node;

computing upstream robustness of the network;

computing downstream criticality of each node; and

managing the network and each asset of the network based on the upstream robustness and the downstream criticality of each node corresponding to each asset, wherein the managing includes modifying a schedule for inspection of an asset.

2. The method according to claim 1 , further comprising classifying each node in the directed graph, wherein the classifying each node includes classifying each node as a source asset, a target asset that directly serves a customer of the network, or an auxiliary asset that delivers a resource of the network from to at least one target asset.

3. The method according to claim 1 , wherein the computing the upstream robustness of each node includes computing inter-path independency and intra-path independency for each node.

4. The method according to claim 1 , wherein the computing the upstream robustness of the network is based on the upstream robustness of each of the nodes.

5. The method according to claim 1 , further comprising assessing topological redundancy of each node based on determining a total number of alternative paths to the node from the sources of the node.

6. The method according to claim 1 , further comprising determining an effected disjoint path count of each node based on an inter-path independency of each path from the sources of the node to the node.

7. The method according to claim 1 , further comprising determining an average effective distance from the sources of each node to the node in terms of a number of intervening assets.

8. The method according to claim 1 , wherein the computing the downstream criticality of each node includes removing the node from the network to generate a reduced network and determining upstream robustness of the reduced network.

9. The method according to claim 8 , further comprising determining an impact of the removing the node based on a number of disconnected customers in the reduced network.

10. The method according to claim 1 , wherein the modifying comprises increasing inspection frequency of an asset corresponding to a first node when the first node has a lower upstream robustness than a second node or a higher downstream criticality than a third node.

11. The method according to claim 1 , wherein the network is an electric power network, and an edge between a pair of the nodes represents a flow of electric power between a pair of the assets corresponding to the pair of nodes.

12. The method according to claim 1 , wherein the network is gas network.

13. The method according to claim 1 , wherein the network is a water network.

14. The method according to claim 1 , wherein the upstream robustness of each node is computed in accordance with the alternative paths.

15. The method according to claim 1 , wherein the upstream robustness of the each node is directly proportional to a disjointedness of the alternative paths.

16. The method according to claim 1 , wherein the upstream robustness of the each node is inversely proportional to a number of nodes between the each node and each source node of each of the alternative paths.

17. The method according to claim 1 , wherein the upstream robustness of the network measures an aptitude of the network to continue operation.

18. The method according to claim 1 , wherein the downstream criticality of the each node is computed as a drop in the network upstream robustness resulting from a removal of the each node.

19. The method according to claim 1 , wherein the asset is a source of a second asset having a low upstream robustness relative to other assets of the assets.

20. A method of managing a network that includes assets, the method comprising:

modeling, using a processor, the network as a directed graph with each of the assets represented as a node;

determining, using the processor, alternative paths to each node from each available corresponding source of the node;

computing upstream robustness of each node in accordance with the alternative paths;

computing upstream robustness of the network in accordance with the upstream robustness of the nodes;

computing downstream criticality of each node in accordance with a removal of the each node from the directed graph and a resulting upstream robustness of the network; and

modifying a schedule for inspection of an asset of the network based on the upstream robustness and the downstream criticality of a node corresponding to the asset.

Assignments (2)
ASSIGNMENT OF ASSIGNOR'S INTEREST Recorded Jun 6, 2017
From: INTERNATIONAL BUSINESS MACHINES CORPORATION
To: UTOPUS INSIGHTS, INC.
Reel/Frame 042700/0530 →
ASSIGNMENT OF ASSIGNOR'S INTEREST Recorded Mar 23, 2015
From: AGGARWAL, AANCHAL; CHAUDHARY, HARSH; KOÇ, YAKUP; KIM, YOUNGHUN; KUMAR, TARUN; RAMAN, ABHISHEK
To: INTERNATIONAL BUSINESS MACHINES CORPORATION
Reel/Frame 035231/0120 →
Continuity (1)
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