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METHOD AND SYSTEM FOR DATA-BASED OPTIMIZATION OF PERFORMANCE INDICATORS IN PROCESS AND MANUFACTURING INDUSTRIES

机译:过程和制造行业中基于数据的绩效指标优化的方法和系统

摘要

To provide a system and method for analyzing a plurality of data from one or more industrial processing units for optimizing key performance indicators in industries.SOLUTION: The system consists of modules for collecting and merging data from industrial processing units, and pre-processing the data to remove outliers and missingness. Further, the system generates customized outputs from data and identifies important variables that affect a given process performance indicator. The system also builds predictive models for key performance indicators comprising important features, and determines operating points for optimizing the key performance indicators with minimum user intervention. In particular, the system receives inputs from users on the key performance indicators to be optimized, and notifies the users of outputs from various steps in the analysis that help the users to effectively manage the analysis and take appropriate operational decisions.SELECTED DRAWING: Figure 12(a)
机译:提供一种用于分析来自一个或多个工业处理单元的多个数据以优化工业中关键绩效指标的系统和方法。解决方案:该系统由模块组成,该模块用于收集和合并来自工业处理单元的数据,并对数据进行预处理消除异常值和缺失。此外,系统从数据生成定制输出,并识别影响给定过程性能指标的重要变量。该系统还将为包含重要功能的关键绩效指标建立预测模型,并确定操作点,以最少的用户干预来优化关键绩效指标。特别是,系统从用户接收有关要优化的关键性能指标的输入,并通知用户分析中各个步骤的输出,以帮助用户有效地管理分析并做出适当的操作决策。图12 (一种)

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