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公开(公告)号：US20170059477A1
公开(公告)日：2017-03-02
申请号：US15227876
申请日：2016-08-03
Applicant: SpectraSensors, Inc.
Inventor： Alfred Feitisch , Xiang Liu , Kevin Ludlum , Mathias Schrempel
IPC: G01N21/27
CPC classification number: G01N21/274 , G01J3/0297 , G01J3/28 , G01J3/42 , G01J3/457 , G01J2003/423 , G01N21/39 , G01N2021/399
Abstract: Frequency registration deviations occurring during a scan of a frequency or wavelength range by a spectroscopic analysis system can be corrected using passive and/or active approaches. A passive approach can include determining and applying mathematical conversions to a recorded field spectrum. An active approach can include modifying one or more operating parameters of the spectroscopic analysis system to reduce frequency registration deviation.
Abstract translation: 通过光谱分析系统在频率或波长范围的扫描期间发生的频率对准偏差可以使用无源和/或主动方法进行校正。 被动方法可以包括确定并应用数学转换到记录的场谱。 主动方法可以包括修改光谱分析系统的一个或多个操作参数以减少频率对准偏差。
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Patent Agency Ranking
公开(公告)号：US11953427B2
公开(公告)日：2024-04-09
申请号：US15227876
申请日：2016-08-03
Applicant: SpectraSensors, Inc.
Inventor： Alfred Feitisch , Xiang Liu , Kevin Ludlum , Mathias Schrempel
IPC: G01N21/27 , G01J3/02 , G01J3/28 , G01J3/42 , G01J3/457 , G01N21/39 , G01N21/21 , G01N21/35 , G01N21/3504 , G01N21/359
CPC classification number: G01N21/274 , G01J3/0297 , G01J3/28 , G01J3/42 , G01J3/457 , G01N21/39 , G01J2003/423 , G01N21/211 , G01N21/35 , G01N21/3504 , G01N21/359 , G01N2021/3595 , G01N2021/399
Abstract: Frequency registration deviations occurring during a scan of a frequency or wavelength range by a spectroscopic analysis system can be corrected using passive and/or active approaches. A passive approach can include determining and applying mathematical conversions to a recorded field spectrum. An active approach can include modifying one or more operating parameters of the spectroscopic analysis system to reduce frequency registration deviation.
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公开(公告)号：US20200271888A1
公开(公告)日：2020-08-27
申请号：US16281841
申请日：2019-02-21
Applicant: SpectraSensors, Inc.
Inventor： Nicholas J. Croglio, JR. , Peter Scott , Doug Beyer , Kevin Ludlum , Keith Helbley , David Peter
Abstract: A light source module may include a base with a support feature protruding from a surface of the base and securing a light source to direct radiation away from the surface. A lens cells may be attached proximate to the surface, optionally by being secured within a sleeve that is attached at one end to the surface. A multi-conductor part may include electrical conductors and a base temperature sensor that contacts the base. The base temperature sensor may be electrically connected to at least one of the plurality of conductive elements and further connected to an optical ignition safety protection system configured to interrupt current to the light source if the base temperature sensor indicates that a temperature of the light source is outside of a safe range.
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公开(公告)号：US11169357B2
公开(公告)日：2021-11-09
申请号：US16281841
申请日：2019-02-21
Applicant: SpectraSensors, Inc.
Inventor： Nicholas J. Croglio, Jr. , Peter Scott , Doug Beyer , Kevin Ludlum , Keith Helbley , David Peter
Abstract: A light source module may include a base with a support feature protruding from a surface of the base and securing a light source to direct radiation away from the surface. A lens cells may be attached proximate to the surface, optionally by being secured within a sleeve that is attached at one end to the surface. A multi-conductor part may include electrical conductors and a base temperature sensor that contacts the base. The base temperature sensor may be electrically connected to at least one of the plurality of conductive elements and further connected to an optical ignition safety protection system configured to interrupt current to the light source if the base temperature sensor indicates that a temperature of the light source is outside of a safe range.
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公开(公告)号：US11754539B2
公开(公告)日：2023-09-12
申请号：US16842849
申请日：2020-04-08
Applicant: SpectraSensors, Inc.
Inventor： Kevin Ludlum , Marc Winter , Benjamin Scherer , Xiang Liu
CPC classification number: G01N33/0006 , G01N21/31 , G01N33/0036 , G06N3/08 , G06N20/00
Abstract: The present disclosure relates to a computer-implemented method for forecasting calibration spectra including a step of providing a machine learning model trained using historical calibration data corresponding to different gas species at different pressures. The computer-implemented method also includes steps of performing a calibration scan of one gas species at one pressure using an analyzer and generating calibration curves for the analyzer corresponding to one or multiple gas species at multiple pressures using the machine learning model and the calibration scan. Thereafter, a spectrum is obtained using the analyzer, and a concentration measurement is generated using the spectrum and at least one of the calibration curves.
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公开(公告)号：US20210318280A1
公开(公告)日：2021-10-14
申请号：US16842849
申请日：2020-04-08
Applicant: SpectraSensors, Inc.
Inventor： Kevin Ludlum , Marc Winter , Benjamin Scherer , Xiang Liu
Abstract: The present disclosure relates to a computer-implemented method for forecasting calibration spectra including a step of providing a machine learning model trained using historical calibration data corresponding to different gas species at different pressures. The computer-implemented method also includes steps of performing a calibration scan of one gas species at one pressure using an analyzer and generating calibration curves for the analyzer corresponding to one or multiple gas species at multiple pressures using the machine learning model and the calibration scan. Thereafter, a spectrum is obtained using the analyzer, and a concentration measurement is generated using the spectrum and at least one of the calibration curves.
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