Title:
GENERATING A REPRESENTATION OF A PROCESS NETWORK COMPRISING AT LEAST TWO INTERCONNECTED CHEMICAL PLANTS
Document Type and Number:
WIPO Patent Application WO/2021/156484
Kind Code:
A3
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.
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Inventors:
PACK ROBERT (DE)
Application Number:
PCT/EP2021/052877
Publication Date:
October 07, 2021
Filing Date:
February 05, 2021
Export Citation:
Assignee:
BASF SE (DE)
International Classes:
G05B19/418; G05B17/02
Domestic Patent References:
| WO2018009546A1 | 2018-01-11 |
Foreign References:
| US20130222388A1 | 2013-08-29 | |||
| US20150106068A1 | 2015-04-16 | |||
| US20180330028A1 | 2018-11-15 | |||
| US20140297230A1 | 2014-10-02 |
Other References:
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SEONGMIN HEO ET AL: "Graph reduction for hierarchical control of energy integrated process networks", DECISION AND CONTROL (CDC), 2012 IEEE 51ST ANNUAL CONFERENCE ON, IEEE, 10 December 2012 (2012-12-10), pages 6388 - 6393, XP032324023, ISBN: 978-1-4673-2065-8, DOI: 10.1109/CDC.2012.6426262
LEE D S ET AL: "Parallel hybrid modeling methods for a full-scale cokes wastewater treatment plant", JOURNAL OF BIOTECHNOLOGY, ELSEVIER, AMSTERDAM, NL, vol. 115, no. 3, 9 February 2005 (2005-02-09), pages 317 - 328, XP027663564, ISSN: 0168-1656, [retrieved on 20050209]
THOMPSON M L ET AL: "Modeling chemical processes using prior knowledge and neural networks", AICHE JOURNAL, JOHN WILEY & SONS, INC, US, vol. 40, no. 8, 1 August 1994 (1994-08-01), pages 1328 - 1340, XP002468885, ISSN: 0001-1541, DOI: 10.1002/AIC.690400806
JUAN J FERRADA ET AL: "APPLICATIONS OF NEURAL NETWORKS IN CHEMICAL ENGINEERING - HYBRID SYSTEMS", AICHE MEETING, 12 November 1990 (1990-11-12), pages 1 - 21, XP055744705, Retrieved from the Internet [retrieved on 20201028]
SEONGMIN HEO ET AL: "Graph reduction for hierarchical control of energy integrated process networks", DECISION AND CONTROL (CDC), 2012 IEEE 51ST ANNUAL CONFERENCE ON, IEEE, 10 December 2012 (2012-12-10), pages 6388 - 6393, XP032324023, ISBN: 978-1-4673-2065-8, DOI: 10.1109/CDC.2012.6426262
LEE D S ET AL: "Parallel hybrid modeling methods for a full-scale cokes wastewater treatment plant", JOURNAL OF BIOTECHNOLOGY, ELSEVIER, AMSTERDAM, NL, vol. 115, no. 3, 9 February 2005 (2005-02-09), pages 317 - 328, XP027663564, ISSN: 0168-1656, [retrieved on 20050209]
THOMPSON M L ET AL: "Modeling chemical processes using prior knowledge and neural networks", AICHE JOURNAL, JOHN WILEY & SONS, INC, US, vol. 40, no. 8, 1 August 1994 (1994-08-01), pages 1328 - 1340, XP002468885, ISSN: 0001-1541, DOI: 10.1002/AIC.690400806
JUAN J FERRADA ET AL: "APPLICATIONS OF NEURAL NETWORKS IN CHEMICAL ENGINEERING - HYBRID SYSTEMS", AICHE MEETING, 12 November 1990 (1990-11-12), pages 1 - 21, XP055744705, Retrieved from the Internet
Attorney, Agent or Firm:
BASF IP ASSOCIATION (DE)
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