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    • 5. 发明申请
    • PROCESS FOR THE AUTOMATED CLASSIFICATION AND ANALYSIS OF RAW DATA AND ITS USE IN THE OPTIMIZATION OF PROCESSES
    • 自动分类和分析原始数据的过程及其在优化过程中的使用
    • WO2011045073A1
    • 2011-04-21
    • PCT/EP2010/006309
    • 2010-10-15
    • KRKA, TOVARNA ZDRAVILRUZIC, MilosPECAVAR, Anica
    • RUZIC, MilosPECAVAR, Anica
    • G06F17/00
    • G06F19/707G01N30/8658G06F19/703
    • The present invention relates to a process for the automated classification and analysis of data, said process comprising the steps of i) selecting an analytical method for use in an analytical experiment; ii) determining working parameters and conditions for the selected method, which parameters and conditions have an effect on the results obtained by using the selected method; iii) assigning to a set of data, said set of data including a) the type of the selected method and b) a specific combination of working parameters and conditions used in the analytical experiment a unique analytical method code (Hash value); iv) applying the method characterized by said Hash value to at least one reference sample and at least one or more further samples obtained from a process for preparing said sample, in which process at least one parameter such as temperature, solvent, or ratio of reactants etc. is to be optimized; v) storing the Hash value and the name of the sample as metadata together with the analytical results obtained in step (iv) as an analytical report; vi) automatically extracting, e.g. by using an extraction template or another extraction process, the relevant metadata from the analytical reports and transferring them to an enterprise content management system (ECMS) or other database systems; vii) automatically organizing the results according to the Hash value in the ECMS or any other suitable database system, viii) correlating the sets of data characterized by different Hash values on the basis of the reference sample measured for each Hash value, thereby creating a correlation matrix/table; ix) using the correlation matrix/table for multivariate analysis of the one or more of the parameters of the process resulting in the samples recited in step (iv); x) optionally, visualizing the results as one or more graphic charts; xi) using the results of steps (ix) and, optionally, (x) to optimize said one or more parameters of the process as defined in step (iv); xii) optionally, verifying the process on the laboratory, pilot plant or industrial scale.
    • 本发明涉及数据的自动分类和分析的方法,所述方法包括以下步骤:i)选择用于分析实验的分析方法; ii)确定所选方法的工作参数和条件,哪些参数和条件对通过使用所选方法获得的结果有影响; iii)分配一组数据,所述数据集包括a)所选方法的类型和b)分析实验中使用的工作参数和条件的特定组合,唯一的分析方法代码(哈希值); iv)将由所述哈希值表征的方法应用于至少一个参考样品和从制备所述样品的方法获得的至少一个或多个另外的样品,其中至少一个参数例如温度,溶剂或反应物比例 等待优化; v)将作为元数据的哈希值和样本名称与步骤(iv)中获得的分析结果一起存储为分析报告; vi)自动提取,例如 通过使用提取模板或其他提取过程,分析报告中的相关元数据并将其转移到企业内容管理系统(ECMS)或其他数据库系统; vii)根据ECMS或任何其他合适的数据库系统中的哈希值自动组织结果,viii)基于为每个哈希值测量的参考样本,以不同哈希值为特征的数据集进行关联,从而产生相关性 基质/表; ix)使用所述相关矩阵/表对所述过程的一个或多个参数进行多变量分析,得到步骤(iv)中所述的样品; x)可选地,将结果可视化为一个或多个图形图; xi)使用步骤(ix)的结果和(x)来优化步骤(iv)中定义的过程的所述一个或多个参数; xii)任选地,验证实验室,试验工厂或工业规模的过程。