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    METHOD AND APPARATUS FOR MONITORING AND CONTROLLING A CLEANING PROCESS
    42.
    发明申请
    METHOD AND APPARATUS FOR MONITORING AND CONTROLLING A CLEANING PROCESS 审中-公开
    用于监测和控制清洁过程的方法和装置

    公开(公告)号：US20160047741A1

    公开(公告)日：2016-02-18

    申请号：US14501552

    申请日：2014-09-30

    Applicant: Kyzen Corporation

    Inventor： David T. Lober ,  Haley Nicole Jones ,  Jonathon Afugu ,  Kyle J. Doyel ,  Ram Wissel ,  Michael L. Bixenman

    IPC: G01N21/3577 ,  G05D11/13

    CPC classification number: G01N21/3577 ,  G01N21/359 ,  G01N2021/3595 ,  G01N2201/129 ,  G05D11/138 ,  H05K3/0085 ,  H05K3/26 ,  H05K2203/0786 ,  H05K2203/163

    Abstract: A method of accurately measuring the concentration of at least one of an aqueous cleaning agent and soil in an aqueous cleaning process which includes providing a source of near infrared light emitting useful amounts of light with wavelengths between approximately 0.8 μm and 2.5 μm, transmitting the near infrared light from the light source to a probe, contacting the probe with a cleaning bath sample such that one of the absorption and the reflection of the light at one or more wavelengths can be measured, transmitting the light that has interacted with the sample to a detector, measuring the change in light intensity at one or more wavelengths in the near infrared region using a near infrared detector, generating an electronic signal that is representative of the change in intensity, applying chemometric techniques to quantitatively determine the concentration of the cleaning agent and or soil, and outputting the measured cleaning agent or soil concentration. The light source is connected to the probe via a fiber-optic cable and the probe is connected to the detector via a fiber-optic cable.

    Abstract translation: 一种在水性清洗过程中精确测量水性清洁剂和污垢中的至少一种的浓度的方法，该方法包括提供近红外光源，其发射波长在约0.8μm和2.5μm之间的有用量的光，透射近 从光源到探头的红外光，使探针与清洗浴样品接触，使得能够测量在一个或多个波长处的光的吸收和反射之一，将与样品相互作用的光透射到 检测器，使用近红外检测器测量近红外区域中的一个或多个波长处的光强度的变化，产生代表强度变化的电子信号，应用化学计量技术定量测定清洁剂的浓度，以及 或土壤，并输出测量的清洁剂或土壤浓度。 光源通过光纤电缆连接到探头，探头通过光纤电缆连接到检测器。

    SYSTEM AND METHOD FOR DETERMINING VAPOR PRESSURE OF PRODUCED HYDROCARBON STREAMS VIA SPECTROSCOPY
    44.
    发明申请
    SYSTEM AND METHOD FOR DETERMINING VAPOR PRESSURE OF PRODUCED HYDROCARBON STREAMS VIA SPECTROSCOPY 审中-公开
    通过光谱法测定生产的碳氢化合物的蒸气压的系统和方法

    公开(公告)号：US20150211971A1

    公开(公告)日：2015-07-30

    申请号：US14609191

    申请日：2015-01-29

    Applicant: JP3 Measurement, LLC

    Inventor： Joseph Paul Little, III ,  Jie Zhu

    IPC: G01N7/14 ,  G01N33/22 ,  G01N33/28 ,  G01N21/3577 ,  G01N21/359

    CPC classification number: G01N7/14 ,  G01N21/3577 ,  G01N21/359 ,  G01N33/22 ,  G01N33/2829 ,  G01N2201/06113 ,  G01N2201/129

    Abstract: An NIR analyzer with the optical probes across a pipe, or in a bypass configuration, after a stabilizer in an oil or condensate production plant. Prior to use, liquid samples from the plant are analyzed in a chemical lab to obtain reference vapor pressure or compositional values. A chemometric model using known techniques is then built with the captured absorption spectra and the reference lab results. Preprocessing methodologies can be used to help mitigate interferences of the fluid, instrument drift, and contaminate build up on the lenses in contact with the fluid. The chemometric model is implemented through the NIR analyzer as the calibration curve to predict the vapor pressure or other values of the flowing fluid in real time.

    Abstract translation: 一个NIR分析仪，在油或冷凝水生产车间的稳定器之后，将光学探针穿过管道或旁路配置。 在使用前，在化学实验室中分析来自植物的液体样品以获得参考蒸气压或组成值。 然后使用已知技术的化学计量模型利用捕获的吸收光谱和参考实验室结果构建。 可以使用预处理方法来减轻流体的干扰，仪器漂移和污染物积聚在与流体接触的透镜上。 化学计量模型通过NIR分析仪实现，作为校准曲线，实时预测流动液体的蒸气压或其他值。

    SELECTION OF SPECTRAL BANDS OR FILTERS FOR MATERIAL CLASSIFICATION UNDER MULTIPLEXED ILLUMINATION
    46.
    发明申请
    SELECTION OF SPECTRAL BANDS OR FILTERS FOR MATERIAL CLASSIFICATION UNDER MULTIPLEXED ILLUMINATION 有权
    在多光照射下选择材料分类的光谱带或滤光片

    公开(公告)号：US20150160128A1

    公开(公告)日：2015-06-11

    申请号：US14309771

    申请日：2014-06-19

    Applicant: CANON KABUSHIKI KAISHA

    Inventor： Chao Liu ,  Sandra Skaff

    IPC: G01N21/55

    CPC classification number: G01N21/55 ,  G01N2201/0627 ,  G01N2201/129 ,  G06K9/2018 ,  G06K9/209 ,  G06K9/628 ,  G06N99/005

    Abstract: Material classification using multiplexed illumination by broadband spectral light from multiple different incident angles, coupled with multi-spectral narrow band spectral measurement of light reflected from the illuminated object of unknown material, wherein selection of spectral bands for illumination or for narrow-band capture may comprise analysis of a database of labeled training material samples within a multi-class classification framework, captured using a relatively large number of spectral bands (such as 32 spectral bands), so as to select a subset of a relatively fewer number of spectral bands (such as 5 spectral bands), wherein the selected spectral bands in the subset retain a significant aptitude for distinguishing between different classifications of materials.

    Abstract translation: 通过来自多个不同入射角的宽带光谱光进行多重照明的材料分类，以及从未知材料的被照射物体反射的光的多光谱窄带光谱测量，其中用于照明或用于窄带捕获的光谱带的选择可以包括 使用相对大量的频谱带（例如32个频谱带）捕获的多类分类框架内的标记训练材料样本的数据库的分析，以便选择相对较少数量的光谱带的子集（例如 作为5个光谱带），其中子集中所选择的光谱带保留用于区分不同材料分类的显着性质。

    Method and spectroscopic analysis appliance, especially for analysing food, with multi-channel treatment of spectral data
    48.
    发明授权
    Method and spectroscopic analysis appliance, especially for analysing food, with multi-channel treatment of spectral data 有权
    方法和光谱分析仪器，特别是用于分析食物，多通道处理光谱数据

    公开(公告)号：US08987686B2

    公开(公告)日：2015-03-24

    申请号：US13516358

    申请日：2010-12-08

    Applicant: Jad Rizkallah ,  Inès Birlouez-Aragon

    Inventor： Jad Rizkallah ,  Inès Birlouez-Aragon

    IPC: G01N21/64 ,  G01N33/02

    CPC classification number: G01N21/64 ,  G01N33/02 ,  G01N2021/6419 ,  G01N2201/129

    Abstract: A method for the spectroscopic analysis of a sample is provided. The method including the illumination of the sample to be analyzed by a plurality of luminous excitation rays with respective wavelengths; the acquisition and the pre-treatment of frontal fluorescence spectra, each spectrum corresponding to a respective luminous excitation ray; for each sample, the calculation of a score vector by applying a multi-channel statistical model to the pre-treated spectra; and the determination of at least one parameter selected from a quality indicator of the sample and a parameter characterizing a method that has been applied to the sample, from said score vector. The average spectral distance between the luminous excitation rays is at least 50 nm, over a spectral range of at least 100 nm. The invention also relates to an appliance for implementing such a method.

    Abstract translation: 提供了一种用于样品的光谱分析的方法。 该方法包括通过具有各种波长的多个发光激发光照射要分析的样品; 前额叶荧光光谱的获取和预处理，每个光谱对应于相应的发光激发光线; 对于每个样本，通过将多通道统计模型应用于预处理的光谱来计算得分矢量; 以及从所述得分向量确定从样本的质量指标中选择的至少一个参数和表征已经应用于样本的方法的参数。 在至少100nm的光谱范围内，发光激发光线之间的平均光谱距离至少为50nm。 本发明还涉及一种用于实现这种方法的设备。

    METHOD FOR SENSOR CALIBRATION
    49.
    发明申请
    METHOD FOR SENSOR CALIBRATION 审中-公开
    传感器校准方法

    公开(公告)号：US20140350868A1

    公开(公告)日：2014-11-27

    申请号：US14359606

    申请日：2012-11-13

    Applicant: EPISENTEC AB

    Inventor： Anders Hanning

    IPC: G01N21/59

    CPC classification number: G01N21/59 ,  G01N21/274 ,  G01N21/553 ,  G01N2021/5903 ,  G01N2201/129

    Abstract: The present invention provides a method of determining the amount of an optical probe species binding to or releasing from an optical sensor surface characterized in that the determination comprises the steps of: a) determining, at one single wavelength or at more than one wavelength, a physical measurand (xi) that is related to the absorptivity of said probe, b) correlating the value of the measurand to the amount of said optical probe species binding to or releasing from said surface, respectively, wherein the physical measurand (xi) of step a) is a physical measurand in which the contribution from the refractive index is substantially zero. The present invention further provides different uses of a peak width as well as a computer program product and reagent kits for the disclosed methods.

    Abstract translation: 本发明提供一种确定与光学传感器表面结合或从光学传感器表面释放的光学探针物质的量的方法，其特征在于，所述测定包括以下步骤：a）在单个波长或多于一个波长处确定 与所述探针的吸收性相关的物理测量（xi），b）分别将所述被测量的值与所述光学探针物质与所述表面结合或释放的量相关联，其中所述步骤的物理测量（xi） a）是物理测量，其中折射率的贡献基本为零。 本发明进一步提供峰宽度的不同用途以及用于所公开方法的计算机程序产品和试剂盒。

    CALIBRATION CURVE CREATION METHOD, CALIBRATION CURVE CREATION APPARATUS, AND TARGET COMPONENT GAUGING APPARATUS
    50.
    发明申请
    CALIBRATION CURVE CREATION METHOD, CALIBRATION CURVE CREATION APPARATUS, AND TARGET COMPONENT GAUGING APPARATUS 审中-公开
    校准曲线创建方法，校准曲线创建装置和目标组件测量装置

    公开(公告)号：US20140297197A1

    公开(公告)日：2014-10-02

    申请号：US14224872

    申请日：2014-03-25

    Applicant: Seiko Epson Corporation

    Inventor： Hikaru KURASAWA ,  Yoshifumi ARAI

    IPC: G01N33/00

    CPC classification number: G01N33/0098 ,  G01N21/27 ,  G01N2201/129

    Abstract: A calibration curve creation method is capable of performing accurate measurement from a piece of observation data. The calibration curve creation method includes (a) acquiring observation data regarding a plurality of samples of a subject, (b) acquiring the content of a target component in each sample, (c) estimating a plurality of independent components at the time of separation into a plurality of independent components of each sample and calculating a mixing coefficient corresponding to the target component for each sample, and (d) calculating the regression equation of the calibration curve. The process (c) includes a step of calculating an independent component matrix by executing first pre-processing including correcting the observation data, second pre-processing including whitening, and independent component analysis processing in this order. A process suitable for the observation data is selected from a plurality of processes, and is used as the first pre-processing and the second pre-processing.

    Abstract translation: 校准曲线创建方法能够从一条观察数据执行准确的测量。 校准曲线生成方法包括：（a）获取关于被检体的多个样本的观察数据，（b）获取各样本中的目标成分的含量，（c）在分离时估计多个独立成分 每个样本的多个独立分量，并计算与每个样本的目标分量对应的混合系数，以及（d）计算校准曲线的回归方程。 方法（c）包括通过执行包括校正观察数据的第一预处理，包括白化的第二预处理和独立分量分析处理来依次计算独立分量矩阵的步骤。 从多个处理中选择适合于观察数据的处理，并且将其用作第一预处理和第二预处理。

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