公开(公告)号：US20240241483A1

公开(公告)日：2024-07-18

申请号：US18559102

申请日：2022-05-27

Applicant: BASF SE

Inventor： Phillip RUEHL ,  Alexander BADINSKI ,  Gennadij HEIDEL

IPC: G05B13/02

CPC classification number: G05B13/0265

Abstract: 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).