NETWORK MEASURING GREENHOUSE GASES IN THE ATMOSPHERE
    76.
    发明公开
    NETWORK MEASURING GREENHOUSE GASES IN THE ATMOSPHERE 审中-公开
    NETZWERK ZUR MESSUNG VON TREIBHAUSGASEN IN DERATMOSPHÄRE

    公开(公告)号:EP2943772A1

    公开(公告)日:2015-11-18

    申请号:EP14738283.2

    申请日:2014-01-06

    IPC分类号: G01N21/00

    CPC分类号: G01N33/0006 G01N33/0004

    摘要: Methods and apparatuses, including computer program products, are described for measuring greenhouse gas. A calibration device receives a first sample of atmospheric gas from a first port exposed to the earth's atmosphere. The calibration device receives a second sample of atmospheric gas from a second port exposed to the earth's atmosphere. The calibration device routes the first sample and the second sample to a measurement device for greenhouse gas analysis. The measurement device determines a characteristic of a greenhouse gas present in at least one of the first sample and the second sample. The measurement device transmits data associated with the determined characteristic of the greenhouse gas to a computing device for determining sinks and sources of the gas.

    摘要翻译: 描述了用于测量温室气体的方法和设备,包括计算机程序产品。 校准装置从暴露于地球大气的第一端口接收第一个大气气体样本。 校准装置从暴露于地球大气的第二端口接收第二个大气气体样本。 校准装置将第一个样品和第二个样品引导到用于温室气体分析的测量装置。 测量装置确定存在于第一样品和第二样品中的至少一个中的温室气体的特性。 测量装置将与确定的温室气体特性相关联的数据传送到用于确定气体的汇和源的计算装置。

    DYNAMIC OUTLIER BIAS REDUCTION SYSTEM AND METHOD
    79.
    发明公开
    DYNAMIC OUTLIER BIAS REDUCTION SYSTEM AND METHOD 审中-公开
    动力系统和一种用于减少AUSREISSERBEEINFLUSSUNG

    公开(公告)号:EP2745213A1

    公开(公告)日:2014-06-25

    申请号:EP12769196.2

    申请日:2012-08-17

    IPC分类号: G06F17/18

    摘要: A system and method is described herein for data filtering to reduce functional, and trend line outlier bias. Outliers are removed from the data set through an objective statistical method. Bias is determined based on absolute, relative error, or both. Error values are computed from the data, model coefficients, or trend line calculations. Outlier data records are removed when the error values are greater than or equal to the user-supplied criteria. For optimization methods or other iterative calculations, the removed data are re-applied each iteration to the model computing new results. Using model values for the complete dataset, new error values are computed and the outlier bias reduction procedure is re-applied. Overall error is minimized for model coefficients and outlier removed data in an iterative fashion until user defined error improvement limits are reached. The filtered data may be used for validation, outlier bias reduction and data quality operations.