WO2021105364A3 - Control system for an industrial plant, in particular for a plant for producing or processing metal strips or plates and method for controlling an industrial plant, in particular a plant for producing or processing metal strips or plates - Google Patents

Control system for an industrial plant, in particular for a plant for producing or processing metal strips or plates and method for controlling an industrial plant, in particular a plant for producing or processing metal strips or plates Download PDF

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Publication number
WO2021105364A3
WO2021105364A3 PCT/EP2020/083634 EP2020083634W WO2021105364A3 WO 2021105364 A3 WO2021105364 A3 WO 2021105364A3 EP 2020083634 W EP2020083634 W EP 2020083634W WO 2021105364 A3 WO2021105364 A3 WO 2021105364A3
Authority
WO
WIPO (PCT)
Prior art keywords
plant
industrial plant
plates
producing
metal strips
Prior art date
Application number
PCT/EP2020/083634
Other languages
German (de)
French (fr)
Other versions
WO2021105364A2 (en
Inventor
Carsten Andreas Klein
Original Assignee
Sms Group Gmbh
Priority date (The priority date is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the date listed.)
Filing date
Publication date
Application filed by Sms Group Gmbh filed Critical Sms Group Gmbh
Publication of WO2021105364A2 publication Critical patent/WO2021105364A2/en
Publication of WO2021105364A3 publication Critical patent/WO2021105364A3/en

Links

Classifications

    • G—PHYSICS
    • G05—CONTROLLING; REGULATING
    • G05B—CONTROL OR REGULATING SYSTEMS IN GENERAL; FUNCTIONAL ELEMENTS OF SUCH SYSTEMS; MONITORING OR TESTING ARRANGEMENTS FOR SUCH SYSTEMS OR ELEMENTS
    • G05B13/00—Adaptive control systems, i.e. systems automatically adjusting themselves to have a performance which is optimum according to some preassigned criterion
    • G05B13/02—Adaptive control systems, i.e. systems automatically adjusting themselves to have a performance which is optimum according to some preassigned criterion electric
    • G05B13/0265—Adaptive control systems, i.e. systems automatically adjusting themselves to have a performance which is optimum according to some preassigned criterion electric the criterion being a learning criterion
    • G05B13/027—Adaptive control systems, i.e. systems automatically adjusting themselves to have a performance which is optimum according to some preassigned criterion electric the criterion being a learning criterion using neural networks only
    • G—PHYSICS
    • G05—CONTROLLING; REGULATING
    • G05B—CONTROL OR REGULATING SYSTEMS IN GENERAL; FUNCTIONAL ELEMENTS OF SUCH SYSTEMS; MONITORING OR TESTING ARRANGEMENTS FOR SUCH SYSTEMS OR ELEMENTS
    • G05B19/00—Programme-control systems
    • G05B19/02—Programme-control systems electric
    • G05B19/418—Total factory control, i.e. centrally controlling a plurality of machines, e.g. direct or distributed numerical control [DNC], flexible manufacturing systems [FMS], integrated manufacturing systems [IMS] or computer integrated manufacturing [CIM]
    • G05B19/41875—Total factory control, i.e. centrally controlling a plurality of machines, e.g. direct or distributed numerical control [DNC], flexible manufacturing systems [FMS], integrated manufacturing systems [IMS] or computer integrated manufacturing [CIM] characterised by quality surveillance of production
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06N—COMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
    • G06N20/00—Machine learning
    • G—PHYSICS
    • G05—CONTROLLING; REGULATING
    • G05B—CONTROL OR REGULATING SYSTEMS IN GENERAL; FUNCTIONAL ELEMENTS OF SUCH SYSTEMS; MONITORING OR TESTING ARRANGEMENTS FOR SUCH SYSTEMS OR ELEMENTS
    • G05B2219/00—Program-control systems
    • G05B2219/30—Nc systems
    • G05B2219/32—Operator till task planning
    • G05B2219/32177—Computer assisted quality surveyance, caq
    • Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
    • Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
    • Y02P—CLIMATE CHANGE MITIGATION TECHNOLOGIES IN THE PRODUCTION OR PROCESSING OF GOODS
    • Y02P90/00—Enabling technologies with a potential contribution to greenhouse gas [GHG] emissions mitigation
    • Y02P90/02—Total factory control, e.g. smart factories, flexible manufacturing systems [FMS] or integrated manufacturing systems [IMS]

Landscapes

  • Engineering & Computer Science (AREA)
  • Artificial Intelligence (AREA)
  • Evolutionary Computation (AREA)
  • Software Systems (AREA)
  • Physics & Mathematics (AREA)
  • General Physics & Mathematics (AREA)
  • Theoretical Computer Science (AREA)
  • Medical Informatics (AREA)
  • Computer Vision & Pattern Recognition (AREA)
  • Automation & Control Theory (AREA)
  • General Engineering & Computer Science (AREA)
  • Computing Systems (AREA)
  • Data Mining & Analysis (AREA)
  • Manufacturing & Machinery (AREA)
  • Mathematical Physics (AREA)
  • Quality & Reliability (AREA)
  • Health & Medical Sciences (AREA)
  • General Factory Administration (AREA)
  • Investigating Materials By The Use Of Optical Means Adapted For Particular Applications (AREA)
  • Control Of Heat Treatment Processes (AREA)

Abstract

The invention relates to a control system (1) for an industrial plant (2), in particular for a plant for producing or processing metal strips or plates, comprising: a surface inspection device (3) for detecting properties of the product currently produced in the industrial plant (2), an evaluation system (4) for evaluating the quality of the currently produced product on the basis of the properties detected by means of the surface inspection device (3), an analysis system (5) for detecting connections between process parameters of the industrial plant (2) and the quality of the produced product according to the evaluation system (4) and for deriving rules for controlling the industrial plant (2) in order to achieve a quality of a product to be produced, and an automation system (6) for implementing rules for controlling the industrial plant (2) in open-loop and closed-loop control processes for the industrial plant (2). The invention furthermore relates to a method for controlling an industrial plant (2), in particular a plant for producing or processing metal strips or plates.
PCT/EP2020/083634 2019-11-29 2020-11-27 Control system for an industrial plant, in particular for a plant for producing or processing metal strips or plates and method for controlling an industrial plant, in particular a plant for producing or processing metal strips or plates WO2021105364A2 (en)

Applications Claiming Priority (2)

Application Number Priority Date Filing Date Title
DE102019218623.8 2019-11-29
DE102019218623.8A DE102019218623A1 (en) 2019-11-29 2019-11-29 Control system for an industrial plant, in particular for a plant for the production or processing of metallic strips or sheets, and method for controlling an industrial plant, in particular a plant for the production or processing of metallic strips or sheets

Publications (2)

Publication Number Publication Date
WO2021105364A2 WO2021105364A2 (en) 2021-06-03
WO2021105364A3 true WO2021105364A3 (en) 2021-07-22

Family

ID=73646326

Family Applications (1)

Application Number Title Priority Date Filing Date
PCT/EP2020/083634 WO2021105364A2 (en) 2019-11-29 2020-11-27 Control system for an industrial plant, in particular for a plant for producing or processing metal strips or plates and method for controlling an industrial plant, in particular a plant for producing or processing metal strips or plates

Country Status (2)

Country Link
DE (1) DE102019218623A1 (en)
WO (1) WO2021105364A2 (en)

Families Citing this family (4)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN113486457A (en) * 2021-06-04 2021-10-08 宁波海天金属成型设备有限公司 Die casting defect prediction and diagnosis system
CN113327067B (en) * 2021-07-01 2022-03-25 厦门快快网络科技有限公司 Industrial intelligent manufacturing product quality full-process analysis control method based on artificial intelligence and control cloud platform
EP4151325A1 (en) 2021-09-16 2023-03-22 Primetals Technologies Germany GmbH Level detection in a flat rolling stock
DE102022104904A1 (en) * 2022-03-02 2023-09-07 Rieter Automatic Winder GmbH Process and data-based assistance system for optimal setting of a textile machine

Citations (5)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
DE19930173A1 (en) * 1999-06-30 2001-01-04 Parsytec Comp Gmbh Method and device for the process-optimized setting of parameters of a production process
WO2003060779A1 (en) * 2002-01-10 2003-07-24 Advanced Micro Devices, Inc. Agent-based control architecture
DE102006040365A1 (en) * 2005-09-02 2007-05-24 GM Global Technology Operations, Inc., Detroit System and method for evaluating a machined surface of a metal casting component
WO2010057661A1 (en) * 2008-11-21 2010-05-27 Precitec Kg Method and device for monitoring a laser machining operation to be performed on a workpiece and laser machining head having such a device
US20190265686A1 (en) * 2018-02-23 2019-08-29 Kabushiki Kaisha Yaskawa Denki Product quality management system and method for managing quality of product

Family Cites Families (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
FR2925530B1 (en) 2007-12-21 2010-08-27 Siemens Vai Metals Tech Sas INSTALLATION AND METHOD FOR CONTINUOUS STRIPPING OF STEEL BANDS

Patent Citations (5)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
DE19930173A1 (en) * 1999-06-30 2001-01-04 Parsytec Comp Gmbh Method and device for the process-optimized setting of parameters of a production process
WO2003060779A1 (en) * 2002-01-10 2003-07-24 Advanced Micro Devices, Inc. Agent-based control architecture
DE102006040365A1 (en) * 2005-09-02 2007-05-24 GM Global Technology Operations, Inc., Detroit System and method for evaluating a machined surface of a metal casting component
WO2010057661A1 (en) * 2008-11-21 2010-05-27 Precitec Kg Method and device for monitoring a laser machining operation to be performed on a workpiece and laser machining head having such a device
US20190265686A1 (en) * 2018-02-23 2019-08-29 Kabushiki Kaisha Yaskawa Denki Product quality management system and method for managing quality of product

Non-Patent Citations (1)

* Cited by examiner, † Cited by third party
Title
JOSEPH BABU ET AL: "Predictive control of quality in a batch manufacturing process using artificial neural network models", INDUSTRIAL & ENGINEERING CHEMISTRY RESEARCH, vol. 32, no. 9, 1 September 1993 (1993-09-01), pages 1951 - 1961, XP055774880, ISSN: 0888-5885, Retrieved from the Internet <URL:https://pubs.acs.org/doi/pdf/10.1021/ie00021a019> DOI: 10.1021/ie00021a019 *

Also Published As

Publication number Publication date
DE102019218623A1 (en) 2021-06-02
WO2021105364A2 (en) 2021-06-03

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