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.

Date of Patent:
Mar. 21, 2017

Filed:

Dec. 21, 2015
Applicant:

International Business Machines Corporation, Armonk, NY (US);

Inventors:

Harsh Chaudhary, Briarcliff Manor, NY (US);

Younghun Kim, White Plains, NY (US);

Tarun Kumar, Mohegan Lake, NY (US);

Abhishek Raman, Santa Clara, CA (US);

Rui Zhang, Ossining, NY (US);

Attorneys:
Primary Examiner:
Assistant Examiner:
Int. Cl.
CPC ...
G01F 23/00 (2006.01); G01M 3/28 (2006.01); H04L 29/08 (2006.01); H04L 12/26 (2006.01); H04L 12/24 (2006.01); G01F 1/00 (2006.01);
U.S. Cl.
CPC ...
G01M 3/2807 (2013.01); G01F 1/00 (2013.01); H04L 41/12 (2013.01); H04L 43/045 (2013.01); H04L 67/12 (2013.01);
Abstract

Technical solutions are described for determining topological connectivity between stations of a fluid-delivery pipeline network. An example method includes receiving temporal sensor measurements of the fluid-delivery pipeline network, that include a series of sensor measurements from each respective station of the fluid-delivery pipeline network. The method also includes generating a causality graph of the fluid-delivery pipeline network based on the temporal sensor measurements, where the causality graph includes a set of nodes and a set of links, where the nodes are representative of the stations, and a pair of nodes is connected by a link in response to the pair of stations being temporally dependent. The method also includes determining a topological network of the stations based on the causality graph, where the topological network identifies one or more destination stations for a supply station in the fluid-delivery pipeline network.


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