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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