公开(公告)号：US20240241483A1

公开(公告)日：2024-07-18

申请号：US18559102

申请日：2022-05-27

申请人： BASF SE

发明人： Phillip RUEHL ,  Alexander BADINSKI ,  Gennadij HEIDEL

IPC分类号： G05B13/02

CPC分类号： G05B13/0265

摘要： Disclosed herein is a computer-implemented regressor for simulating, monitoring and/or controlling a batch plant. The batch plant is implemented to receive one or more educts having associated educt quality parameters (x1, x2), to process the educt(s) where the process has associated process parameters (yj), and to output a product having associated product quality parameters (Q1, Q2). The regressor includes at least two regressor units based on machine-learning principles, each regressor unit having an input for receiving input data, and an output for outputting output data. A first regressor unit is implemented to receive the educt quality parameters (xi) and to output at least one educt impact parameter (R1). And a second regressor unit is implemented to receive the educt impact parameter (R1) and l process parameters (yj) and to output at least one product quality parameter (Qj).

公开(公告)号：US20220243133A1

公开(公告)日：2022-08-04

申请号：US17629435

申请日：2020-07-27

申请人： BASF SE

发明人： Simeon SAUER ,  Daniel KECK ,  Eric JENNE ,  Alexander BADINSKI ,  Miriam Angela Anna HAHKALA ,  Bart BLANKERS ,  Hendrik DE WINNE ,  Britta Carolin BUCK

IPC分类号： C10G9/36 ,  C10G9/16 ,  C10G9/20 ,  F27D19/00 ,  G06Q10/04

摘要： In order to predict the future evolution of a health-state of an equipment and/or a processing unit of a chemical production plant, e.g., a steam cracker, a computer-implemented method is provided, which builds a data-driven model for the future key performance indicator based on the key performance indicator of today, the processing condition of today, and the processing condition over a prediction horizon.