公开(公告)号：US11676061B2

公开(公告)日：2023-06-13

申请号：US16151086

申请日：2018-10-03

Applicant: Honeywell International Inc.

Inventor： Soumendra Mohan Banerjee ,  Deepak Bisht ,  Krishna Mani ,  Priyesh Jayendrakumar Jani ,  Gautam Pandey

IPC: G06N20/00 ,  G06F17/15 ,  C10G11/18

CPC classification number: G06N20/00 ,  G06F17/15 ,  C10G11/187

Abstract: 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.

公开(公告)号：US20190108454A1

公开(公告)日：2019-04-11

申请号：US16151086

申请日：2018-10-03

Applicant: Honeywell International Inc.

Inventor： Soumendra Mohan Banerjee ,  Deepak Bisht ,  Krishna Mani ,  Priyesh Jayendrakumar Jani ,  Gautam Pandey

IPC: G06N7/00 ,  G06N99/00 ,  G06F17/15

Abstract: 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.