Detecting gas leaks using unmanned aerial vehicles
Abstract
Methods, systems and computer program products for detecting gas leaks using a drone are provided. Aspects include capturing a first set of data regarding a presence of a gas in the geographic area while flying along the initial flight path. Aspects also include creating secondary flight paths through regions in the geographic area in which the presence of the gas exceeds a threshold amount and capturing a second set of data regarding a concentration of the gas in the one or more regions while flying along the secondary flight paths. Aspects further include capturing wind data while flying along the initial and second flight paths and creating a three-dimensional gas plume model for gas leaks identified in the geographic area based on the first set of data, the second set of data and the wind data, wherein the three-dimensional gas plume model identifies a source of the gas leaks.
- Inventors:
- Issue Date:
- Research Org.:
- International Business Machines Corp., Armonk, NY (United States)
- Sponsoring Org.:
- USDOE
- OSTI Identifier:
- 1650996
- Patent Number(s):
- 10677771
- Application Number:
- 15/800,116
- Assignee:
- International Business Machines Corporation (Armonk, NY)
- Patent Classifications (CPCs):
-
B - PERFORMING OPERATIONS B64 - AIRCRAFT B64C - AEROPLANES
G - PHYSICS G01 - MEASURING G01M - TESTING STATIC OR DYNAMIC BALANCE OF MACHINES OR STRUCTURES
- DOE Contract Number:
- AR0000540
- Resource Type:
- Patent
- Resource Relation:
- Patent File Date: 11/01/2017
- Country of Publication:
- United States
- Language:
- English
- Subject:
- 54 ENVIRONMENTAL SCIENCES; 47 OTHER INSTRUMENTATION
Citation Formats
Dittberner, Matthias, Klein, Levente, and Renwick, Jason D. Detecting gas leaks using unmanned aerial vehicles. United States: N. p., 2020.
Web.
Dittberner, Matthias, Klein, Levente, & Renwick, Jason D. Detecting gas leaks using unmanned aerial vehicles. United States.
Dittberner, Matthias, Klein, Levente, and Renwick, Jason D. Tue .
"Detecting gas leaks using unmanned aerial vehicles". United States. https://www.osti.gov/servlets/purl/1650996.
@article{osti_1650996,
title = {Detecting gas leaks using unmanned aerial vehicles},
author = {Dittberner, Matthias and Klein, Levente and Renwick, Jason D.},
abstractNote = {Methods, systems and computer program products for detecting gas leaks using a drone are provided. Aspects include capturing a first set of data regarding a presence of a gas in the geographic area while flying along the initial flight path. Aspects also include creating secondary flight paths through regions in the geographic area in which the presence of the gas exceeds a threshold amount and capturing a second set of data regarding a concentration of the gas in the one or more regions while flying along the secondary flight paths. Aspects further include capturing wind data while flying along the initial and second flight paths and creating a three-dimensional gas plume model for gas leaks identified in the geographic area based on the first set of data, the second set of data and the wind data, wherein the three-dimensional gas plume model identifies a source of the gas leaks.},
doi = {},
journal = {},
number = ,
volume = ,
place = {United States},
year = {Tue Jun 09 00:00:00 EDT 2020},
month = {Tue Jun 09 00:00:00 EDT 2020}
}
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