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. 03, 2020

Filed:

Mar. 29, 2017
Applicant:

Tata Consultancy Services Limited, Mumbai, IN;

Inventors:

Arunchandar Vasan, Chennai, IN;

Gollakota Phani Bhargava Kaushik, Chennai, IN;

Abinaya Manimaran, Chennai, IN;

Venkatesh Sarangan, Chennai, IN;

Anand Sivasubramaniam, Chennai, IN;

Assignee:
Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G06F 17/50 (2006.01); G01N 19/08 (2006.01); E03B 7/00 (2006.01); F17D 5/02 (2006.01); E03B 7/07 (2006.01); E03B 7/02 (2006.01); G01N 7/00 (2006.01); G01V 99/00 (2009.01); G06Q 50/06 (2012.01); G06G 7/50 (2006.01); F17D 1/00 (2006.01);
U.S. Cl.
CPC ...
G01N 19/08 (2013.01); E03B 7/003 (2013.01); E03B 7/02 (2013.01); E03B 7/075 (2013.01); F17D 5/02 (2013.01); G01N 7/00 (2013.01); G01V 99/005 (2013.01); G06F 17/5009 (2013.01); F17D 1/00 (2013.01); G06F 2217/34 (2013.01); G06G 7/50 (2013.01); G06Q 50/06 (2013.01);
Abstract

Conventional systems for monitoring pipe networks are generally not scalable, impractical in the field with uncontrolled environments or rely of static features of pipes that are vary depending on the pipes under consideration. The ideal sensor-ed monitoring systems are not economically viable. Systems and methods of the present disclosure provide an improved data-driven model to rank pipes in the order of burst probabilities, by including dynamic feature values of pipes such as pressure and flow that depends on network structure and operations. The present disclosure enables estimating approximate values for the dynamic features since they are hard to estimate accurately in the absence of a calibrated hydraulic model. The present disclosure also validates the estimated approximate dynamic feature values for the purpose of estimating bursts likelihood vis-a-vis accurate values of the dynamic metrics.


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