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11.发明授权Methods for gas leak detection and localization in populated areas using multi-point analysis 有权使用多点分析在人口稠密地区进行气体泄漏检测和定位的方法公开(公告)号：US09500556B2
公开(公告)日：2016-11-22
申请号：US13656123
申请日：2012-10-19
Applicant: Picarro, Inc.
Inventor： Chris W. Rella , Eric R. Crosson , Sze Meng Tan
CPC classification number: G01M3/20 , G01M3/38 , G01N21/3504 , G01N21/39 , G01N2021/0314 , G01N2201/025
Abstract: Improved gas leak detection from moving platforms is provided. Automatic horizontal spatial scale analysis can be performed in order to distinguish a leak from background levels of the measured gas. Source identification can be provided by using isotopic ratios and/or chemical tracers to distinguish gas leaks from other sources of the measured gas. Multi-point measurements combined with spatial analysis of the multi-point measurement results can provide leak source distance estimates. These methods can be practiced individually or in any combination.
Abstract translation: 提供了从移动平台改进的气体泄漏检测。 可以进行自动水平空间尺度分析，以区分泄漏与被测气体的背景水平。 可以通过使用同位素比率和/或化学示踪剂来提供源识别，以区分气体泄漏与测量气体的其他来源。 多点测量结合多点测量结果的空间分析可以提供泄漏源距离估计。 这些方法可以单独或以任何组合实施。
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12.发明申请Methods for gas leak detection and localization in populated areas using isotope ratio measurements 有权使用同位素比率测量在人口稠密地区进行气体泄漏检测和定位的方法公开(公告)号：US20150007638A1
公开(公告)日：2015-01-08
申请号：US14493853
申请日：2014-09-23
Applicant: Picarro, Inc.
Inventor： Chris W. Rella , Eric R. Crosson , Michael R. Woelk , Sze Meng Tan , Yonggang He , David Steele
CPC classification number: G01N33/0009 , G01M3/20 , G01M3/38 , G01N21/01 , G01N21/3504 , G01N21/39 , G01N2021/0314 , G01N2201/025
Abstract: Improved gas leak detection from moving platforms is provided. Automatic horizontal spatial scale analysis can be performed in order to distinguish a leak from background levels of the measured gas. Source identification can be provided by using isotopic ratios and/or chemical tracers to distinguish gas leaks from other sources of the measured gas. Multi-point measurements combined with spatial analysis of the multi-point measurement results can provide leak source distance estimates. Qualitative source identification is provided. These methods can be practiced individually or in any combination.
Abstract translation: 提供了从移动平台改进的气体泄漏检测。 可以进行自动水平空间尺度分析，以区分泄漏与被测气体的背景水平。 可以通过使用同位素比率和/或化学示踪剂来提供源识别，以区分气体泄漏与测量气体的其他来源。 多点测量结合多点测量结果的空间分析可以提供泄漏源距离估计。 提供定性来源识别。 这些方法可以单独或以任何组合实施。
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13.发明授权公开(公告)号：US10161825B2
公开(公告)日：2018-12-25
申请号：US15462889
申请日：2017-03-19
Applicant: Picarro, Inc.
Inventor： Chris W. Rella , Eric R. Crosson , Michael R. Woelk , Sze Meng Tan
Abstract: Improved gas leak detection from moving platforms is provided. Automatic horizontal spatial scale analysis can be performed in order to distinguish a leak from background levels of the measured gas. Source identification can be provided by using isotopic ratios and/or chemical tracers to distinguish gas leaks from other sources of the measured gas. Multi-point measurements combined with spatial analysis of the multi-point measurement results can provide leak source distance estimates. These methods can be practiced individually or in any combination.
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14.发明授权公开(公告)号：US10113997B2
公开(公告)日：2018-10-30
申请号：US15088885
申请日：2016-04-01
Applicant: Picarro, Inc.
Inventor： Chris W. Rella , Eric R. Crosson , Michael R. Woelk , Sze Meng Tan , Yonggang He , David Steele
Abstract: Improved gas leak detection from moving platforms is provided. Automatic horizontal spatial scale analysis can be performed in order to distinguish a leak from background levels of the measured gas. Source identification can be provided by using two or more tracer measurements of isotopic ratios and/or chemical tracers to distinguish gas leaks from other sources of the measured gas. Multi-point measurements combined with spatial analysis of the multi-point measurement results can provide leak source distance estimates. Qualitative source identification is provided. These methods can be practiced individually or in any combination.
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15.发明授权公开(公告)号：US09739758B2
公开(公告)日：2017-08-22
申请号：US14493853
申请日：2014-09-23
Applicant: Picarro, Inc.
Inventor： Chris W. Rella , Eric R. Crosson , Michael R. Woelk , Sze Meng Tan , Yonggang He , David Steele
CPC classification number: G01N33/0009 , G01M3/20 , G01M3/38 , G01N21/01 , G01N21/3504 , G01N21/39 , G01N2021/0314 , G01N2201/025
Abstract: Improved gas leak detection from moving platforms is provided. Automatic horizontal spatial scale analysis can be performed in order to distinguish a leak from background levels of the measured gas. Source identification can be provided by using isotopic ratios and/or chemical tracers to distinguish gas leaks from other sources of the measured gas. Multi-point measurements combined with spatial analysis of the multi-point measurement results can provide leak source distance estimates. Qualitative source identification is provided. These methods can be practiced individually or in any combination.
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Patent Agency Ranking
16.发明申请公开(公告)号：US20170191898A1
公开(公告)日：2017-07-06
申请号：US15462889
申请日：2017-03-19
Applicant: Picarro, Inc.
Inventor： Chris W. Rella , Eric R. Crosson , Michael R. Woelk , Sze Meng Tan
CPC classification number: G01M3/20 , G01M3/38 , G01N21/01 , G01N21/31 , G01N21/3504 , G01N21/39 , G01N2021/0314 , G01N2201/025
Abstract: Improved gas leak detection from moving platforms is provided. Automatic horizontal spatial scale analysis can be performed in order to distinguish a leak from background levels of the measured gas. Source identification can be provided by using isotopic ratios and/or chemical tracers to distinguish gas leaks from other sources of the measured gas. Multi-point measurements combined with spatial analysis of the multi-point measurement results can provide leak source distance estimates. These methods can be practiced individually or in any combination.
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17.发明授权Methods for gas leak detection and localization in populated areas using horizontal analysis 有权采用横向分析方法对人口稠密地区进行气体泄漏检测和定位公开(公告)号：US09482591B2
公开(公告)日：2016-11-01
申请号：US13656080
申请日：2012-10-19
Applicant: Picarro, Inc.
Inventor： Chris W. Rella , Eric R. Crosson , Michael Woelk , Sze Meng Tan
IPC: G06F15/00 , G01M3/20 , G01N33/00 , G01N21/3504
CPC classification number: G01M3/20 , G01N21/3504 , G01N33/0004 , G01N2201/025
Abstract: Improved gas leak detection from moving platforms is provided. Automatic horizontal spatial scale analysis can be performed in order to distinguish a leak from background levels of the measured gas. Source identification can be provided by using isotopic ratios and/or chemical tracers to distinguish gas leaks from other sources of the measured gas. Multi-point measurements combined with spatial analysis of the multi-point measurement results can provide leak source distance estimates. These methods can be practiced individually or in any combination.
Abstract translation: 提供了从移动平台改进的气体泄漏检测。 可以进行自动水平空间尺度分析，以区分泄漏与被测气体的背景水平。 可以通过使用同位素比率和/或化学示踪剂来提供源识别，以区分气体泄漏与测量气体的其他来源。 多点测量结合多点测量结果的空间分析可以提供泄漏源距离估计。 这些方法可以单独或以任何组合实施。
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18.发明申请Scanned 1-D Gas Plume Profile and Flux Measurements Using Multiple Analysis Instruments 审中-公开使用多个分析仪器扫描1-D气体波形和通量测量公开(公告)号：US20150047416A1
公开(公告)日：2015-02-19
申请号：US14532999
申请日：2014-11-04
Applicant: Picarro, Inc.
Inventor： Chris W. Rella , Eric R. Crosson , David Steele , Marc L. Fischer
IPC: G01N33/00
CPC classification number: G01N33/0031 , G01F1/704
Abstract: A gas concentration image (i.e., concentration vs. position data) in a cross section through a gas plume is obtained. Such measurements can be obtained by moving a 1D array of gas sample inlets through the gas plume. By combining a gas concentration image with ambient flow information through the surface of the gas concentration image, the leak rate (i.e., gas flux) from the leak source can be estimated. Multiple gas analysis instruments can be employed in connection with sweeping a 1-D array of measurement ports through the gas plume in order to reduce analysis time.
Abstract translation: 获得通过气体羽流的横截面中的气体浓度图像（即，浓度与位置数据）。 这样的测量可以通过将气体样品入口的1D阵列移动通过气体羽流来获得。 通过将气体浓度图像与通过气体浓度图像的表面的环境流量信息组合，可以估计来自泄漏源的泄漏速率（即，气体通量）。 多个气体分析仪器可用于通过气体羽流扫描测量端口的1-D阵列，以减少分析时间。
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19.发明申请Methods for gas leak detection and localization in populated areas using multi-point analysis 有权使用多点分析在人口稠密地区进行气体泄漏检测和定位的方法公开(公告)号：US20140032129A1
公开(公告)日：2014-01-30
申请号：US13656123
申请日：2012-10-19
Applicant: Picarro, Inc.
Inventor： Chris W. Rella , Eric R. Crosson , Sze Meng Tan
CPC classification number: G01M3/20 , G01M3/38 , G01N21/3504 , G01N21/39 , G01N2021/0314 , G01N2201/025
Abstract: Improved gas leak detection from moving platforms is provided. Automatic horizontal spatial scale analysis can be performed in order to distinguish a leak from background levels of the measured gas. Source identification can be provided by using isotopic ratios and/or chemical tracers to distinguish gas leaks from other sources of the measured gas. Multi-point measurements combined with spatial analysis of the multi-point measurement results can provide leak source distance estimates. These methods can be practiced individually or in any combination.
Abstract translation: 提供了从移动平台改进的气体泄漏检测。 可以进行自动水平空间尺度分析，以区分泄漏与被测气体的背景水平。 可以通过使用同位素比率和/或化学示踪剂来提供源识别，以区分气体泄漏与测量气体的其他来源。 多点测量结合多点测量结果的空间分析可以提供泄漏源距离估计。 这些方法可以单独或以任何组合实施。
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20.发明申请Methods for gas leak detection and localization in populated areas using isotope ratio measurements 有权使用同位素比率测量在人口稠密地区进行气体泄漏检测和定位的方法公开(公告)号：US20140026641A1
公开(公告)日：2014-01-30
申请号：US13656096
申请日：2012-10-19
Applicant: Picarro, Inc.
Inventor： Chris W. Rella , Eric R. Crosson , Michael Woelk , Sze Meng Tan
IPC: G01N9/36
CPC classification number: G01M3/20 , G01M3/38 , G01N21/01 , G01N21/31 , G01N21/3504 , G01N21/39 , G01N2021/0314 , G01N2201/025
Abstract: Improved gas leak detection from moving platforms is provided. Automatic horizontal spatial scale analysis can be performed in order to distinguish a leak from background levels of the measured gas. Source identification can be provided by using isotopic ratios and/or chemical tracers to distinguish gas leaks from other sources of the measured gas. Multi-point measurements combined with spatial analysis of the multi-point measurement results can provide leak source distance estimates. These methods can be practiced individually or in any combination.
Abstract translation: 提供了从移动平台改进的气体泄漏检测。 可以进行自动水平空间尺度分析，以区分泄漏与被测气体的背景水平。 可以通过使用同位素比率和/或化学示踪剂来提供源识别，以区分气体泄漏与测量气体的其他来源。 多点测量结合多点测量结果的空间分析可以提供泄漏源距离估计。 这些方法可以单独或以任何组合实施。
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