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    Survey area indicators for gas leak detection
    2.
    发明授权
    Survey area indicators for gas leak detection 有权

    公开(公告)号：US09645039B1

    公开(公告)日：2017-05-09

    申请号：US13733864

    申请日：2013-01-03

    Applicant: Picarro Inc.

    Inventor： Sze Meng Tan ,  Chris W. Rella

    IPC: G01M3/28

    CPC classification number: G01M3/2807 ,  F02M65/006 ,  G01M3/007 ,  G01M3/04 ,  G01M3/16 ,  G01M3/24 ,  G01M3/26 ,  G01M3/28 ,  G01M3/38 ,  G06F15/00 ,  G06F17/30241

    Abstract: In some embodiments, content is generated that includes a street map, at least one path on the map indicating a route of travel by a mobile gas measurement device, and at least one indicator on the map that indicates a survey area for a potential gas leak source. The survey area adjoins the path and extends in a substantially upwind direction from the path. The survey area has a boundary determined such that if the potential gas leak source is located in the survey area and has a rate of leakage meeting a minimum leak rate condition, then an estimated probability of detection of a gas leak from the potential source at one or more measurement points along the path satisfies a probability condition.

    Systems and methods for determining a gas leak detection survey area boundary
    3.
    发明授权
    Systems and methods for determining a gas leak detection survey area boundary 有权
    确定气体泄漏检测区域边界的系统和方法

    公开(公告)号：US09322735B1

    公开(公告)日：2016-04-26

    申请号：US13733868

    申请日：2013-01-03

    Applicant: Picarro Inc.

    Inventor： Sze Meng Tan ,  Chris W. Rella

    IPC: G01M3/04 ,  G01M3/00 ,  F02M65/00 ,  G01M3/16

    CPC classification number: G01M3/2807 ,  F02M65/006 ,  G01M3/007 ,  G01M3/04 ,  G01M3/16 ,  G01M3/24 ,  G01M3/26 ,  G01M3/28 ,  G01M3/38 ,  G06F15/00 ,  G06F17/30241

    Abstract: In some embodiments, at least one processor is employed to determine a boundary of a survey area. Data representative of the locations of measurement points adjacent to or outside of the survey area is received, as well as data representative of wind direction at the measurement points. The boundary of the survey area is determined according to the data representative of wind direction and a maximum detection distance value representative of an estimated maximum distance from a potential gas leak source at which a gas leak from the potential source can be detected. The boundary is determined such that if the potential gas leak source is located in the survey area and has a rate of leakage meeting a minimum leak rate condition, then an estimated probability of detection of the gas leak at one or more of the measurement points satisfies a probability condition.

    Abstract translation: 在一些实施例中，采用至少一个处理器来确定测量区域的边界。 接收与测量区域相邻或外部的测量点的位置的数据，以及表示测量点的风向的数据。 测量区域的边界根据代表风向的数据确定，最大检测距离值代表从潜在的气体泄漏源估计的最大距离，其中可能检测到来自潜在源的气体泄漏。 确定边界，使得如果潜在的气体泄漏源位于测量区域中并且具有满足最小泄漏率条件的泄漏率，则在一个或多个测量点处的估计的气体泄漏检测概率满足 概率条件。

    Methods for gas leak detection and localization in populated areas using two or more tracer measurements
    6.
    发明申请
    Methods for gas leak detection and localization in populated areas using two or more tracer measurements 审中-公开
    使用两次或多次示踪剂测量的人口稠密地区气体泄漏检测和定位方法

    公开(公告)号：US20160216172A1

    公开(公告)日：2016-07-28

    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

    IPC: G01M3/04 ,  G01N33/00

    CPC classification number: G01N33/0009 ,  G01M3/22 ,  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 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.

    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。 可以通过使用两个或更多个同位素比率和/或化学示踪剂的示踪剂测量来提供源识别，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。

    Ring-down binning in FSR hopping mode
    7.
    发明授权
    Ring-down binning in FSR hopping mode 有权
    FSR跳频模式下的振铃分级

    公开(公告)号：US09267880B1

    公开(公告)日：2016-02-23

    申请号：US14634682

    申请日：2015-02-27

    Applicant: Picarro, Inc.

    Inventor： Sze Meng Tan ,  John A. Hoffnagle ,  Chris W. Rella

    IPC: G01N21/61 ,  G01N21/25 ,  G01N21/39

    CPC classification number: G01N21/39 ,  G01J3/00 ,  G01J3/42 ,  G01J3/427 ,  G01N2021/399

    Abstract: For cavity enhanced optical spectroscopy, the cavity modes are used as a frequency reference. Data analysis methods are employed that assume the data points are at equally spaced frequencies. Parameters of interest such as line width, integrated absorption etc. can be determined from such data without knowledge of the frequencies of any of the data points. Methods for determining the FSR index of each ring-down event are also provided.

    Abstract translation: 对于腔增强光谱，腔模式用作频率参考。 采用数据分析方法，假设数据点处于等间隔的频率。 可以从这样的数据中确定诸如线宽，积分吸收等的关注参数，而不知道任何数据点的频率。 还提供了确定每个减号事件的FSR指数的方法。

    Methods for gas leak detection and localization in populated areas using horizontal analysis
    8.
    发明申请
    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：US20140032160A1

    公开(公告)日：2014-01-30

    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

    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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