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Title: Heuristic based analytics for gas leak source identification

Abstract

Heuristic-based techniques for gas leak source identification are provided. In one aspect, a method for identifying a location of a gas leak source includes: obtaining gas sensor data and wind data synchronously from a gas leak detection system having a network of interconnected motes comprising gas sensors and wind sensors, with the gas sensors arranged around possible gas leak sources in a given area of interest; identifying the location of the gas leak source using the gas sensor data and wind data; and determining a magnitude of gas leak from the gas leak source using the location of the gas leak source and a distance d between the location of the gas leak source and a select one of the gas sensors from which the gas sensor data was obtained. A gas leak detection system is also provided.

Inventors:
; ; ; ;
Issue Date:
Research Org.:
International Business Machines Corp., Armonk, NY (United States)
Sponsoring Org.:
USDOE
OSTI Identifier:
1735261
Patent Number(s):
10775258
Application Number:
15/919,405
Assignee:
International Business Machines Corporation (Armonk, NY)
Patent Classifications (CPCs):
G - PHYSICS G01 - MEASURING G01P - MEASURING LINEAR OR ANGULAR SPEED, ACCELERATION, DECELERATION, OR SHOCK
F - MECHANICAL ENGINEERING F17 - STORING OR DISTRIBUTING GASES OR LIQUIDS F17D - PIPE-LINE SYSTEMS
DOE Contract Number:  
AR0000540
Resource Type:
Patent
Resource Relation:
Patent File Date: 03/13/2018
Country of Publication:
United States
Language:
English

Citation Formats

Muralidhar, Ramachandran, Chang, Josephine B., Lu, Siyuan, Van Kessel, Theodore G., and Hamann, Hendrik F. Heuristic based analytics for gas leak source identification. United States: N. p., 2020. Web.
Muralidhar, Ramachandran, Chang, Josephine B., Lu, Siyuan, Van Kessel, Theodore G., & Hamann, Hendrik F. Heuristic based analytics for gas leak source identification. United States.
Muralidhar, Ramachandran, Chang, Josephine B., Lu, Siyuan, Van Kessel, Theodore G., and Hamann, Hendrik F. Tue . "Heuristic based analytics for gas leak source identification". United States. https://www.osti.gov/servlets/purl/1735261.
@article{osti_1735261,
title = {Heuristic based analytics for gas leak source identification},
author = {Muralidhar, Ramachandran and Chang, Josephine B. and Lu, Siyuan and Van Kessel, Theodore G. and Hamann, Hendrik F.},
abstractNote = {Heuristic-based techniques for gas leak source identification are provided. In one aspect, a method for identifying a location of a gas leak source includes: obtaining gas sensor data and wind data synchronously from a gas leak detection system having a network of interconnected motes comprising gas sensors and wind sensors, with the gas sensors arranged around possible gas leak sources in a given area of interest; identifying the location of the gas leak source using the gas sensor data and wind data; and determining a magnitude of gas leak from the gas leak source using the location of the gas leak source and a distance d between the location of the gas leak source and a select one of the gas sensors from which the gas sensor data was obtained. A gas leak detection system is also provided.},
doi = {},
journal = {},
number = ,
volume = ,
place = {United States},
year = {2020},
month = {9}
}

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