公开(公告)号：US20230053175A1

公开(公告)日：2023-02-16

申请号：US17797231

申请日：2021-02-05

Applicant: BASF SE

Inventor： Robert Pack

IPC: G05B19/418

Abstract: A computer implemented method for generating a problem specific representation of a process network to enable controlling or monitoring a process network with at least two interconnected chemical plants, the method comprising the steps of providing a first digital representation of the process network comprising a digital process representation of each plant, its connections to other plants and sensor elements placed in the process network, generating based on the first digital representation a graph structure including vertices representing unit operations, edges linking unit operations representing at least physico-chemical quantities, wherein the edges include edge meta data representing at least physico-chemical quantities, and a measurable tag, generating based on the graph structure a collapsed graph structure including, vertices representing virtual unit operations, edges linking virtual unit operations representing at least physico-chemical quantities, wherein the edges include edge meta data representing observable physico chemical quantities, and their relation to vertices, deriving a set of balance equations from the collapsed graph structure, providing the set of balance equations, and physico- chemical quantities for monitoring and/or controlling operation of a process network is proposed.

公开(公告)号：US20230418272A1

公开(公告)日：2023-12-28

申请号：US18035360

申请日：2021-11-08

Applicant: BASF SE

Inventor： Robert Pack

IPC: G05B19/418

CPC classification number: G05B19/41875

Abstract: A computer implemented method for determining operating states of a chemical plant, in particular of operating states in a process group, the method comprising the steps of providing signal time series data associated with a first measurement point in a chemical plant, determining based on the signal time series data associated with the first measurement point in a chemical plant a respective signal time series score associated with a measure of a degree of variation of the signal time series data over time, determining the operating state based on the respective signal time series score associated with a measure of a degree of variation of the signal time series data over time providing data associated with the operating state of the chemical plant, suitable for monitoring and/or controlling the chemical plant.