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Title: 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):
G - PHYSICS G01 - MEASURING G01N - INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
G - PHYSICS G06 - COMPUTING G06T - IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
DOE Contract Number:  
AR0000540
Resource Type:
Patent
Resource Relation:
Patent File Date: 11/01/2017
Country of Publication:
United States
Language:
English

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 = {2020},
month = {6}
}

Patent:

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