EP4045981A1 - Procédé de détermination basée sur un modèle pour le traitement d'une demande de commande - Google Patents

Procédé de détermination basée sur un modèle pour le traitement d'une demande de commande

Info

Publication number
EP4045981A1
EP4045981A1 EP20789073.2A EP20789073A EP4045981A1 EP 4045981 A1 EP4045981 A1 EP 4045981A1 EP 20789073 A EP20789073 A EP 20789073A EP 4045981 A1 EP4045981 A1 EP 4045981A1
Authority
EP
European Patent Office
Prior art keywords
production
parameter
model
film extrusion
order
Prior art date
Legal status (The legal status 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 status listed.)
Pending
Application number
EP20789073.2A
Other languages
German (de)
English (en)
Inventor
Martin Backmann
Markus Bussmann
Melanie Schuh
Lennart Ederleh
Current Assignee (The listed assignees may be inaccurate. Google has not performed a legal analysis and makes no representation or warranty as to the accuracy of the list.)
WINDMOELLER & HOELSCHER SE & CO. KG
Original Assignee
Windmoeller and Hoelscher KG
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 Windmoeller and Hoelscher KG filed Critical Windmoeller and Hoelscher KG
Publication of EP4045981A1 publication Critical patent/EP4045981A1/fr
Pending legal-status Critical Current

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
    • G05B13/04—Adaptive control systems, i.e. systems automatically adjusting themselves to have a performance which is optimum according to some preassigned criterion electric involving the use of models or simulators
    • G05B13/042—Adaptive control systems, i.e. systems automatically adjusting themselves to have a performance which is optimum according to some preassigned criterion electric involving the use of models or simulators in which a parameter or coefficient is automatically adjusted to optimise the performance
    • 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—Program-control systems
    • G05B19/02—Program-control systems electric
    • G05B19/18—Numerical control [NC], i.e. automatically operating machines, in particular machine tools, e.g. in a manufacturing environment, so as to execute positioning, movement or co-ordinated operations by means of program data in numerical form
    • G05B19/4093—Numerical control [NC], i.e. automatically operating machines, in particular machine tools, e.g. in a manufacturing environment, so as to execute positioning, movement or co-ordinated operations by means of program data in numerical form characterised by part programming, e.g. entry of geometrical information as taken from a technical drawing, combining this with machining and material information to obtain control information, named part program, for the NC machine
    • G05B19/40937—Numerical control [NC], i.e. automatically operating machines, in particular machine tools, e.g. in a manufacturing environment, so as to execute positioning, movement or co-ordinated operations by means of program data in numerical form characterised by part programming, e.g. entry of geometrical information as taken from a technical drawing, combining this with machining and material information to obtain control information, named part program, for the NC machine concerning programming of machining or material parameters, pocket machining
    • 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]

Definitions

  • the present invention relates to a method for a model-based determination for processing an order request and a computer product for executing a method according to the invention.
  • order inquiries are received by companies to order film products. These film products are manufactured on the basis of this order on so-called film extrusion systems. This can involve both blown film extrusion systems and flat film extrusion systems.
  • An order request usually contains a type of film with a corresponding film quality and the associated production quantity.
  • a manual or purely economic approach is usually used for previous order inquiries.
  • the disadvantage of the known solutions is that a purely manual and economical approach cannot evaluate the actual production possibilities of one or more film extrusion systems, or only to a very small extent and essentially only on the basis of experience. As a result, errors can arise in the utilization of the film extrusion line, the economic assessment or other parameters, which can significantly reduce the efficiency of the contractor's production. In particular, the efficiency in the operation of the film extrusion plant, both energetically and economically, cannot be completely optimized in this way.
  • a method of model-based determination is used to process an order request by means of a production model of a film extrusion plant.
  • Such a procedure has the following steps:
  • a method according to the invention allows a defined procedure in the processing of an order request using a production model.
  • a production model is to be understood as a model which depicts the film extrusion system at least in partial areas and in this way provides parameter relationships between individual model parameters.
  • Such a production model can be designed as a purely algorithmic and / or purely empirical model.
  • the use of so-called neural networks as artificial intelligence is also possible for the production model.
  • the variants of the production model described above can also be combined with one another, that is to say, for example, the combination of an empirical model with a neural network.
  • the steps according to the invention now make it possible to acquire at least one model parameter pin shape of an output parameter from an order request.
  • This order request and the model parameter correlated with it can thus deal with a film product or with the associated film product property.
  • the order request can contain a certain quality property, for example in the form of a tearability or a stretchability as a film product property.
  • Such an order request is now recorded with this output parameter as a model parameter and can thus be entered into the production model.
  • a parameter relationship is now established, specifically between the recorded output parameter and at least one model parameter in the form of an input parameter of the production model.
  • the requested film product property in the form of the output parameter to a corresponding production situation of the film extrusion system as an input parameter.
  • a qualitative but also a quantitative parameter relationship is conceivable. That's basically how it is It is possible that the parameter relationship affirms or denies the basic production possibility on the film extrusion line.
  • quantitative parameter relationships are also conceivable, for example a relationship between a requested film product property and a correspondingly adjustable production situation, for example the speed, the degree of efficiency or the throughput of the film extrusion system.
  • an input parameter can finally be generated which, on the basis of this parameter relationship, forms a specification for the production process on the film extrusion system.
  • This can be a wide variety of input parameters. It is basically conceivable for the input parameter to be generated to which the parameter relationship with the at least one output parameter has also been established. However, another input parameter can also be generated in this last method step.
  • the production model can thus take a wide variety of model parameters into account. Different sub-models can also be taken into account.
  • the production model can be a pure machine model or have a pure machine model and additionally have a combination with an economic model, that is to say the economic mode of operation of the film extrusion plant.
  • film extrusion system for example that film extrusion system can be selected which can produce the film product according to the order request with the highest efficiency or with the greatest economic efficiency. It is also possible to specify process parameters in order to be able to begin with these process parameters when the film extrusion plant is started. Machine parameters can also be specified in order to operate this selected film extrusion system in a corresponding manner. Economic data for the operation of the film extrusion plant can also be specified, for example in order to increase the economic efficiency in the production of the requested film product. A raw material selection or a raw material composition can also be specified here by the method according to the invention.
  • an order response is generated on the basis of the generated at least one input parameter in order to answer the order request.
  • Such an order response can contain this or develop it further on the basis of the input parameter.
  • the order response it is therefore a response or, in particular, content information that is sent as a response to the order request.
  • it will directly or indirectly contain the input parameters generated.
  • a comparison is made with at least one further order request or at least one existing production order, a sequence of at least two production orders being created based on the result of the comparison.
  • production orders can be modified and adapted with regard to their chronological sequence.
  • Common or similar requirements for a film extrusion system can be bundled in such a way that the costs for the person requesting the order request as well as for the operator of the film extrusion system can be significantly reduced and thus the efficiency in operation can be increased. In other words, it becomes possible to carry out a corresponding optimization not only within a single order on the film extrusion system, but rather over several adjacent orders that are contiguous in time.
  • the production model is adapted on the basis of a production success during and / or after the completion of a production order on the basis of an associated order request. This means that checks can be carried out after completion of or during the execution of a production order whether the prediction based on the production model is correct or if it deviates from reality.
  • the application as well as the deviation can be introduced into the production model as feedback and further develop it.
  • the production model is designed as a self-learning model. This applies in particular to the combination of relevant data, for example with regard to raw material prices, raw material selection and / or the energy requirement during the production of the production order.
  • a weighted neural network is used as the production model in a method according to the invention. This can of course also be combined with empirical models and / or with algorithmic models. Here, too, training with orders that have already been completed and carried out is conceivable in order to learn the artificial intelligence, in particular with a so-called deep learning process, on the corresponding film extrusion system.
  • Another subject matter of the present invention is a computer program product having instructions which, when the program is executed on a computer, cause the computer to carry out the steps of a method according to the invention.
  • a computer program product according to the invention thus has the same advantages as have been explained in detail with reference to a method according to the invention.
  • Figure 1 shows an embodiment of a film extrusion system
  • FIG. 2 a further embodiment of a film extrusion system
  • FIG. 3 shows an embodiment of the use of the production model
  • FIG. 4 shows an embodiment of the use of the production model
  • FIG. 5 an example of a sequence for an order request
  • Figure 6 shows another example of an order request
  • FIG. 7 shows a first step in integrating the order request into one
  • FIG. 8 shows the result of the integration according to FIG. 7.
  • a film extrusion system 10 is shown schematically in FIG. This example is a flat film installation with two extruders 20 which deliver extrusion material via a nozzle 30.
  • the flat film produced is wound up as a film web 40 on a winding roll 50 via a cooling roller.
  • the film extrusion system 10 according to FIG. 2 is a blown film extrusion system.
  • a combination of two extruders 20 is shown schematically, which form a blown film as a film web 40 via an annular nozzle 30. This is laid flat and also rolled up as a film web 40 on a winding roll 50 via a deflection roller.
  • FIGS. 3 and 4 schematically show the manner in which a production model PM can now set or set parameter relationships.
  • Model parameters MP of the production model PM can be input parameters EP and output parameters AP.
  • Figures 3 and 4 differ from the direction in which the production model PM acts. In principle, a bidirectional or even multidirectional effect is possible. It is thus conceivable that input parameters EP are generated from output parameters AP via the production model, but also in the opposite direction.
  • a Order request AA receives the information about at least one output parameter AP.
  • a production model PM for example as a computer program product, is stored and available within the industrial plant.
  • the at least one output parameter AP of the order request AA is now set with the production model PM in a parameter relationship with at least one input parameter EP, so that an identical or a different input parameter EP is then generated as an output from the production model PM.
  • a multitude of possibilities can now be generated, for example the optimization of the film production process, a corresponding selection of a film extrusion system or also an optimization of the requested production order
  • FIG. 6 a further development of the embodiment of FIG. 5 is shown.
  • an order response is generated which, for example, can contain the input parameter EP that has been generated.
  • the forwarding and feedback to the relevant inquirer means that the order request AA can now be answered and, for example, released for production.
  • An order request AA can now be precisely defined with the help of a production model PM not only economically and energetically, but also in terms of time.
  • similar production orders PA for example based on similar raw materials, can now be combined with one another.
  • Temporal merging is also possible, so that in particular the dead times of the film extrusion system can be reduced, as can be seen well, for example, in FIG. 8 by fitting the order request AA into the time sequence of the production orders PA.

Landscapes

  • Engineering & Computer Science (AREA)
  • Artificial Intelligence (AREA)
  • Evolutionary Computation (AREA)
  • Physics & Mathematics (AREA)
  • Automation & Control Theory (AREA)
  • General Physics & Mathematics (AREA)
  • Health & Medical Sciences (AREA)
  • Computer Vision & Pattern Recognition (AREA)
  • Medical Informatics (AREA)
  • Software Systems (AREA)
  • Manufacturing & Machinery (AREA)
  • Human Computer Interaction (AREA)
  • Geometry (AREA)
  • Extrusion Moulding Of Plastics Or The Like (AREA)

Abstract

L'invention concerne un procédé de détermination basée sur un modèle pour le traitement d'une demande de commande (AA) à l'aide d'un modèle de production (PM) d'un système d'extrusion de film (10), comprenant les étapes suivantes : - détecter au moins un paramètre de modèle (MP) sous la forme d'un paramètre de sortie (AP) du modèle de production (MP) afin de détecter une propriété de produit de film demandée de la demande de commande (AA), - former une relation de paramètres entre le ou les paramètres de sortie (AP) détectés et le ou les paramètres de modèle (MP) sous la forme d'un paramètre d'entrée (EP) du modèle de production (PM) afin de déterminer une situation de produit du système d'extrusion de film (10), et - générer au moins un paramètre d'entrée (EP) du modèle de production (PM) sur la base de la relation de paramètres formée en tant que spécification pour un processus de production sur le système d'extrusion de film (10).
EP20789073.2A 2019-10-14 2020-10-08 Procédé de détermination basée sur un modèle pour le traitement d'une demande de commande Pending EP4045981A1 (fr)

Applications Claiming Priority (2)

Application Number Priority Date Filing Date Title
DE102019127549.0A DE102019127549A1 (de) 2019-10-14 2019-10-14 Verfahren für eine modellbasierte Bestimmung zur Bearbeitung einer Auftragsanfrage
PCT/EP2020/078237 WO2021073998A1 (fr) 2019-10-14 2020-10-08 Procédé de détermination basée sur un modèle pour le traitement d'une demande de commande

Publications (1)

Publication Number Publication Date
EP4045981A1 true EP4045981A1 (fr) 2022-08-24

Family

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Family Applications (1)

Application Number Title Priority Date Filing Date
EP20789073.2A Pending EP4045981A1 (fr) 2019-10-14 2020-10-08 Procédé de détermination basée sur un modèle pour le traitement d'une demande de commande

Country Status (4)

Country Link
US (1) US20240103461A1 (fr)
EP (1) EP4045981A1 (fr)
DE (1) DE102019127549A1 (fr)
WO (1) WO2021073998A1 (fr)

Families Citing this family (3)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
DE102019127545A1 (de) * 2019-10-14 2021-04-15 Windmöller & Hölscher Kg Verfahren für eine modellbasierte Bestimmung von Modellparametern
DE102019127548A1 (de) * 2019-10-14 2021-04-15 Windmöller & Hölscher Kg Kontrollverfahren für die Kontrolle wenigstens eines Teils eines Produktionsprozesses einer Folienextrusionsanlage
DE102021112620A1 (de) * 2021-05-14 2022-11-17 Windmöller & Hölscher Kg Verfahren zur Herstellung von Folie aus einer Gesamtmenge an Rohstoffen mit einer Folienextrusionsmaschine sowie Computerprogrammprodukt zur Durchführung des Verfahrens

Family Cites Families (7)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
DE10059567A1 (de) * 2000-11-30 2002-06-13 Siemens Ag Verfahren und Vorrichtung zur Berechnung von Prozessgrößen eines industriellen Prozesses
US20040148144A1 (en) * 2003-01-24 2004-07-29 Martin Gregory D. Parameterizing a steady-state model using derivative constraints
DE102015108979A1 (de) * 2015-06-08 2016-12-08 Windmöller & Hölscher Kg Verfahren für die Durchführung eines Materialwechsels bei einer Extrusionsvorrichtung
DE102016112121A1 (de) * 2016-07-01 2018-01-04 Brückner Maschinenbau GmbH & Co. KG Steuerungsvorrichtung zur Herstellung und/oder Behandlung einer Kunststoff-Folie sowie zugehöriges Verfahren
US20190240889A1 (en) * 2016-10-18 2019-08-08 Reifenhaeuser Gmbh & Co. Kg Maschinenfabrik Method and data detection device for providing, retrieving and using a data element in a process for producing plastic sheet material
DE102017007140A1 (de) * 2016-10-18 2018-04-19 Reifenhäuser GmbH & Co. KG Maschinenfabrik Verfahren zum indirekten Ableiten einer systematischen Abhängigkeit zwischen einer Einstellgröße und einer optischen Eigenschaft einer Folienbahn, Verfahren zum Anpassen der Qualität einer Folienbahn, Verfahren zum Herstellen einer Folienbahn sowie Vorrichtung zum Herstellen einer Folienbahn
EA037650B1 (ru) * 2016-10-18 2021-04-27 Райфенхойзер Гмбх Унд Ко. Кг Машиненфабрик Способ контроля производственного процесса, способ косвенного выведения систематической зависимости, способ адаптации качества, способ запуска производственного процесса, способ и установка для изготовления экструзионного продукта

Also Published As

Publication number Publication date
WO2021073998A1 (fr) 2021-04-22
DE102019127549A1 (de) 2021-04-15
US20240103461A1 (en) 2024-03-28

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