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    • 3. 发明申请
    • METHOD OF CONTAMINANT PREDICTION
    • 污染物预测方法
    • US20120226653A1
    • 2012-09-06
    • US13497145
    • 2010-09-24
    • Michael John McLaughlinSean Thomas ForresterLeslie Joseph Janik
    • Michael John McLaughlinSean Thomas ForresterLeslie Joseph Janik
    • G06N7/02
    • G01N21/359G01N21/3563G01N33/241G01N2201/129
    • Disclosed is a method of selectively predicting hydrocarbon concentration in a sample of unknown hydrocarbon concentration (the unknown sample). The method comprises the steps of: (i) separately subjecting two or more samples of known hydrocarbon concentration to infrared (IR) radiation; (ii) separately detecting an IR signal from the samples of known hydrocarbon concentration; (iii) analysing the IR signals using a multivariate chemometric technique to produce a training data set; (iv) generating a predictive model for hydrocarbon concentration based on the training data set; (v) subjecting the unknown sample to infrared (IR) radiation; (vi) detecting an IR signal from the unknown sample; (vii) applying the predictive model to the IR signal from the unknown sample; and thereafter (viii) selectively predicting hydrocarbon concentration in the unknown sample. Also disclosed is a method for generating a model to selectively predict hydrocarbon concentration in a sample of unknown hydrocarbon concentration and a software program for selectively predicting hydrocarbon concentration from inputted IR signal data of an unknown sample.
    • 公开了选择性地预测未知烃浓度的样品中的烃浓度的方法(未知样品)。 该方法包括以下步骤:(i)将已知碳氢化合物浓度的两个或多个样品分别经受红外(IR)辐射; (ii)从已知烃浓度的样品中分别检测IR信号; (iii)使用多变量化学计量技术分析IR信号以产生训练数据集; (iv)基于训练数据集生成烃浓度预测模型; (v)使未知样品经受红外(IR)辐射; (vi)检测来自未知样品的IR信号; (vii)将预测模型应用于来自未知样本的IR信号; (viii)有选择地预测未知样品中的烃浓度。 还公开了一种生成用于选择性地预测未知烃浓度的样品中的烃浓度的模型的方法和用于从未知样品的输入的IR信号数据中选择性地预测烃浓度的软件程序。
    • 4. 发明授权
    • Method of contaminant prediction
    • 污染物预测方法
    • US08914312B2
    • 2014-12-16
    • US13497145
    • 2010-09-24
    • Michael John McLaughlinSean Thomas ForresterLeslie Joseph Janik
    • Michael John McLaughlinSean Thomas ForresterLeslie Joseph Janik
    • G06F15/18G01N21/35G01N33/24
    • G01N21/359G01N21/3563G01N33/241G01N2201/129
    • Method of selectively predicting hydrocarbon concentration in a sample of unknown hydrocarbon concentration, by (i) separately subjecting two or more samples of known hydrocarbon concentration to infrared (IR) radiation, (ii) separately detecting an IR signal from the samples of known hydrocarbon concentration, (iii) analyzing the IR signals using a multivariate chemometric technique to produce a training data set, (iv) generating a predictive model for hydrocarbon concentration based on the training data set, (v) subjecting the unknown sample to infrared (IR) radiation, (vi) detecting an IR signal from the unknown sample, (vii) applying the predictive model to the IR signal from the unknown sample. Thereafter, as step (viii), hydrocarbon concentration in the unknown sample is selectively predicted.
    • 通过以下方式选择性地预测未知烃浓度的样品中的烃浓度的方法:(i)将已知烃浓度的两个或多个样品分别经受红外(IR)辐射,(ii)分别检测来自已知烃浓度的样品的IR信号 (iii)使用多变量化学计量技术分析IR信号以产生训练数据集,(iv)基于训练数据集生成烃浓度的预测模型,(v)将未知样品经受红外(IR)辐射 (vi)检测来自未知样品的IR信号,(vii)将该预测模型应用于来自未知样品的IR信号。 此后,作为步骤(viii),选择性地预测未知样品中的烃浓度。