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:
Oct. 24, 2017

Filed:

Apr. 21, 2015
Applicant:

Northeastern University, Shenyang, CN;

Inventors:

Huaguang Zhang, Shenyang, CN;

Dazhong Ma, Shenyang, CN;

Jian Feng, Shenyang, CN;

Jinhai Liu, Shenyang, CN;

Gang Wang, Shenyang, CN;

Zhenning Wu, Shenyang, CN;

Qiuye Sun, Shenyang, CN;

Xiaoyu Li, Shenyang, CN;

Assignee:

Northeastern University, Shenyang, CN;

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G01M 3/28 (2006.01); G01M 3/24 (2006.01);
U.S. Cl.
CPC ...
G01M 3/2807 (2013.01); G01M 3/243 (2013.01);
Abstract

The present invention relates to an intelligent adaptive system and method for monitoring leakage of oil pipeline networks based on big data. The present invention effectively analyzes a large amount of data collected on site within a reasonable time period and obtains a state of a pipeline network by an intelligent adaptive method, thereby obtaining a topological structure of a pipeline network. The present invention specifically adopts a flow balance method in combination with information conformance theory to analyze whether the pipeline network has leakage; small amount of leakage and slow leakage can be perfectly and accurately alarmed upon detection; as a generalized regression neural network is adopted to locate a leakage of the pipeline network, an accuracy of a result is increased. Therefore, the present invention adopts a policy and intelligent adaptive method based on big data to solve problems of detecting and locating leakage of the pipeline network.


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