Systems and methods for assembling a collection of peaks characterizing a gas leak source and selecting representative peaks for display

US9823231B1 · US · B1

Patent metadata
FieldValue
Publication numberUS-9823231-B1
Application numberUS-201414319236-A
CountryUS
Kind codeB1
Filing dateJun 30, 2014
Priority dateJun 30, 2014
Publication dateNov 21, 2017
Grant dateNov 21, 2017

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Abstract

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In some embodiments, vehicle-based natural gas leak detection methods include assembling a collection of measured concentration peaks originating from a common natural gas leak according to wind direction, wind variability and inter-peak distance data, and selecting from the collection a subset of one or more representative peaks for display. Assigning peaks to a collection may be performed according to a peak overlap condition dependent upon a scaling (overlap) factor which scales the spatial reach of a peak, and according to a wind condition which determines whether a downwind event points toward an upwind event. The scaling factor may depend on wind variability and on an orientation of an inter-peak vector relative to a representative wind direction. Peak filtering is particularly useful in urban environments, where buildings channel gas plumes and one leak may lead to sequential detections of multiple concentration peaks along a path.

First claim

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What is claimed is: 1. A computer system comprising at least one processor and associated memory configured to: group a plurality of measured natural gas concentration peaks into a collection assigned to a single natural gas leak, the peaks being defined by natural gas concentration data measured by a mobile gas concentration measurement device carried by a vehicle along a survey path, the vehicle carrying a positioning device configured to determine geospatially-referenced locations of gas concentration measurement points along the survey path, the vehicle further carrying a wind direction determination device configured to measure wind direction values along the survey path, wherein grouping the plurality of peaks is performed according to an inter-peak distance determined according to geospatially-referenced locations measured by the positioning device, and further according to a representative wind direction characterizing a measurement of the natural gas concentration data, the representative wind direction being determined according to the wind direction values measured along the survey path; and select for display a subset of representative peaks characterizing the natural gas leak, wherein the collection includes at least one peak not selected as a representative peak for display. 2. The computer system of claim 1 , wherein each of the peaks of the collection overlaps at least one other peak of the collection. 3. The computer system of claim 1 , wherein grouping the plurality of peaks is performed according to a scaling factor for a peak, the scaling factor characterizing a spatial reach of the peak. 4. The computer system of claim 3 , wherein the scaling factor is directionally-dependent. 5. The computer system of claim 3 , wherein the scaling factor depends on a wind direction characterizing the peak. 6. The computer system of claim 3 , wherein the scaling factor depends on a wind variability characterizing the peak. 7. The computer system of claim 3 , wherein the scaling factor is determined according to an upwind distance r meeting a probability condition, the probability condition characterizing a probability that the peak points to a location along a transverse line segment of a predetermined width situated a distance r upwind of the peak location. 8. The computer system of claim 1 , wherein grouping a new peak into the collection comprises: determining whether the new peak meets an overlap condition with respect to at least one peak of the collection; and determining whether the new peak meets a wind direction condition with respect to the at least one peak of the collection; wherein the new peak is assigned to the collection in response to determining that the new peak meets both the overlap condition and the wind direction condition. 9. The computer system of claim 8 , wherein determining whether the new peak meets the overlap condition comprises comparing d 1 +f 1 σ 1 and d 2 −f 2 σ 2 , wherein each of the indexes 1 and 2 represent one of the new peak and the at least one peak of the collection, d represents a position of the corresponding peak, f represents a scaling factor characterizing a spatial reach of the corresponding peak, and σ represents a width of the corresponding peak. 10. The computer system of claim 8 , wherein determining whether the new peak meets the wind direction condition comprises comparing a vector product u 1 ·b 12 to a function of an uncertainty in wind direction, wherein u 1 is a representative wind direction vector, and b 12 is a vector between a location of the new peak and a location of the at least one peak of the collection. 11. The computer system of claim 1 , wherein selecting for display the subset of representative peaks comprises identifying a highest-amplitude peak in the collection, and, in response, selecting the highest-amplitude peak for display. 12. The computer system of claim 1 , wherein selecting for display the subset of representative peaks comprises identifying a most-upwind peak in the collection, and, in response, selecting the most-upwind peak for display. 13. The computer system of claim 1 , wherein selecting for display the subset of representative peaks comprises identifying any peaks having amplitudes exceeding a predetermined amplitude threshold, and, in response, selecting any identified peaks for display. 14. The computer system of claim 13 , wherein the predetermined amplitude threshold has a value between 1 ppm and 20 ppm above a local background. 15. The computer system of claim 1 , wherein the subset of representative peaks comprises a plurality of representative peaks. 16. The computer system of claim 1 , further comprising employing the at least one processor to generate display data for displaying the subset of representative peaks to a user. 17. The computer system of claim 16 , wherein the display data comprises, for each peak in the subset, a graphic identifier of a criterion used to select said each peak in the subset for display. 18. The computer system of claim 1 , wherein the wind direction values measured along the survey path comprise wind direction values relative to the vehicle, and wherein determining the representative wind direction according to the wind direction values measured along the survey path comprises converting wind direction values relative to the vehicle into wind direction values relative to ground, and determining the representative wind direction according to the wind direction values relative to ground. 19. A non-transitory computer-readable medium encoding instructions which, when executed by a computer system comprising at least one processor, cause the at least one processor to: group a plurality of measured natural gas concentration peaks into a collection assigned to a single natural gas leak, the peaks being defined by natural gas concentration data measured by a mobile gas concentration measurement device carried by a vehicle along a survey path, the vehicle carrying a positioning device configured to determine geospatially-referenced locations of gas concentration measurement points along the survey path, the vehicle further carrying a wind direction determination device configured to measure wind direction values along the survey path, wherein grouping the plurality of peaks is performed according to an inter-peak distance determined according to geospatially-referenced locations measured by the positioning device, and further according to a representative wind direction characterizing a measurement of the natural gas concentration data, the representative wind direction being determined according to the wind direction values measured along the survey path; and select for display a subset of representative peaks characterizing the natural gas leak, wherein the collection includes at least one peak not selected as a representative peak for display. 20. The non-transitory computer-readable medium of claim 19 , wherein the wind direction values measured along the survey path comprise wind direction values relative to the vehicle, and wherein determining the representative wind direction according to the wind direction values measured along the survey path comprises converting wind direction values relative to the vehicle into wind direction values relative to ground, and determining the representative wind direction according to the wind direction values relative to ground. 21. A method comprising: employing a computer system comprising at least one processor to group a plurality of m

Assignees

Inventors

Classifications

  • General constructional details of gas analysers, e.g. portable test equipment (devices for withdrawing samples in the gaseous state G01N1/22) · CPC title

  • concerning the measuring method or the display, e.g. intermittent measurement or digital display · CPC title

  • Gaseous mixtures, e.g. polluted air · CPC title

  • by using light (G01M3/02 takes precedence) · CPC title

  • for pipes, cables or tubes; for pipe joints or seals; for valves; {for welds; for containers, e.g. radiators} · CPC title

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What does patent US9823231B1 cover?
In some embodiments, vehicle-based natural gas leak detection methods include assembling a collection of measured concentration peaks originating from a common natural gas leak according to wind direction, wind variability and inter-peak distance data, and selecting from the collection a subset of one or more representative peaks for display. Assigning peaks to a collection may be performed acc…
Who is the assignee on this patent?
Picarro Inc, Picarro Inc
What technology area does this patent fall under?
Primary CPC classification G01N33/0062. Mapped technology areas include Physics.
When was this patent published?
Publication date Tue Nov 21 2017 00:00:00 GMT+0000 (Coordinated Universal Time) (B1). Legal status and post-grant events are not shown on this page.
What related patents are in patentsdb?
We list 5 related publications on this page (citations in our corpus or others sharing the same primary CPC).