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HARNESSING MACHINE LEARNING amp; DATA ANALYTICS FOR A REAL TIME PREDICTIVE MODEL FOR A FCC PRE-TREATMENT UNIT

机译:FCC预处理单元实时预测模型的学习机学习和数据分析

摘要

This disclosure provides an apparatus and method for harnessing machine learning and data analytics for a real-time predictive model for a FCC pre-treatment unit. The method includes collecting operating parameters of a pre-treatment unit and fluid catalytic cracking (FCC) unit; evaluating an independent variable of the operating parameters; and adjusting an input to the pre-treatment unit to control the independent variable within specifications in an output of the FCC unit.
机译:本公开提供了一种用于利用机器学习和数据分析来针对FCC预处理单元的实时预测模型的装置和方法。该方法包括收集预处理单元和流化催化裂化(FCC)单元的操作参数。评估运行参数的独立变量;调整预处理单元的输入,以将自变量控制在FCC单元输出的规格范围内。

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