EP0951977A1 - Méthode et dispositif pour contrÔler et optimaliser les processus techniques, notamment dans la fabrication de panneaux de fibres - Google Patents

Méthode et dispositif pour contrÔler et optimaliser les processus techniques, notamment dans la fabrication de panneaux de fibres Download PDF

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Publication number
EP0951977A1
EP0951977A1 EP99107828A EP99107828A EP0951977A1 EP 0951977 A1 EP0951977 A1 EP 0951977A1 EP 99107828 A EP99107828 A EP 99107828A EP 99107828 A EP99107828 A EP 99107828A EP 0951977 A1 EP0951977 A1 EP 0951977A1
Authority
EP
European Patent Office
Prior art keywords
quality
function
quality function
refiner
determined
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.)
Ceased
Application number
EP99107828A
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German (de)
English (en)
Inventor
Jürgen Dr. Hollatz
Erwin Jünnemann
Ralph Berstecher
Martin Appl
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.)
Siemens AG
Original Assignee
Siemens AG
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
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Application filed by Siemens AG filed Critical Siemens AG
Publication of EP0951977A1 publication Critical patent/EP0951977A1/fr
Ceased legal-status Critical Current

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Classifications

    • B—PERFORMING OPERATIONS; TRANSPORTING
    • B27—WORKING OR PRESERVING WOOD OR SIMILAR MATERIAL; NAILING OR STAPLING MACHINES IN GENERAL
    • B27N—MANUFACTURE BY DRY PROCESSES OF ARTICLES, WITH OR WITHOUT ORGANIC BINDING AGENTS, MADE FROM PARTICLES OR FIBRES CONSISTING OF WOOD OR OTHER LIGNOCELLULOSIC OR LIKE ORGANIC MATERIAL
    • B27N3/00—Manufacture of substantially flat articles, e.g. boards, from particles or fibres

Definitions

  • the invention relates to a process control method and process optimization of technical processes, a suitable one to optimize the manufacturing quality Working point is determined with the individual quality functions various quality parameters of the product to be manufactured considered.
  • the invention relates to the application of the process for the production of fiberboard.
  • the invention also relates to a associated device using a computer.
  • Process control In industrial practice, process control and Process optimization in the large-scale production of Products play an increasing role.
  • Process control can be used as far as possible in control systems automate and perform at suitable work points.
  • the optimization of Quality of manufacture of the products to be manufactured an essential Criteria.
  • Wood "and / or Waste paper” is produced in various process steps, for example paper as the end product.
  • An important sub-step is the production of wood fibers in the so-called refiner, a grinder between whose counter-rotating discs the wood is ground into its individual fibers. Fiberboard can also be made from such wood fiber material are produced, which are used increasingly in industrial practice due to their ecological properties.
  • the object of the invention is a method of the type mentioned in such a way that at a production quality specified by the user be minimized.
  • the object is achieved in that a Model for at least one quality function and equally that associated cost function can be determined and that an overall quality function is determined, the user stipulating what quality must be achieved as a minimum requirement.
  • At the invention is therefore always an optimizing overall quality function formed, for which the models for quality prediction based on a data analysis.
  • 10 denotes a refiner model with inputs and outputs, where detailed below, 20 one unit for quality assessment, 30 one unit for Cost assessment and 40 a summation unit for linking of the functions from units 20 and 30 an overall function to be minimized.
  • the refiner model has six inputs 1 to 6 and four outputs 7 to 9 and 11 for each characteristic Sizes.
  • the refiner model 10 enters via inputs 1 to 6, for example a signal 1 from the I-refiner, a signal 2 from the I-Pregrinding-Refiner, a signal 3 from the number of revolutions the transport screw, a signal 4 from the vapor pressure Signal 5 from the wood age and a signal 6 from the used Wood mix.
  • the refiner model 10 uses as outputs Signal 7 for the flexural strength, a signal 8 for the Water intake, a signal 9 for energy costs and a Receive signal 11 for raw material costs.
  • Signals 6 and 7 arrive at unit 20 of the quality assessment and the Signals 9 and 11 for the unit of the cost assessment.
  • FIG 2 it is shown that the signals 1 to 6 in different Calculation units 12 to 14 as part of the Refiner model arrive.
  • the unit 12 is used for cost calculation a so-called energy function
  • the unit 13 for Preprocessing and calculation of company sizes for the Refiner
  • the unit 14 for cost calculation of the raw materials.
  • suitable fuzzy models 15 can be a prediction of quality from the refiner parameters enable.
  • the results are signals 7, 8, 9 and 11 of Figure 1.
  • Model resulting from a data analysis each by a Model good describes the one from the Production with given parameters resulting bending strength and the other resulting water absorbency.
  • the user sets the desired maximum water absorption capacity and the minimum flexural strength. About that He also determines how strong these requirements are Quality must be taken into account if it is in its entirety cannot be met.
  • the overall quality function to be optimized consists of the evaluations of the model quality function and the hardboard produced per ton incurred costs for the raw materials, the electrical energy and the required steam together.
  • the overall quality function is determined to be the two Model quality functions and production costs are included. It a multicriteria quality function is thus formed. In order to can be the goal of optimization, the cost of production of hardboard taking into account the boundary conditions to minimize the quality of the panels achieved become. Accordingly, the overall quality function corresponds to Sum of the calculated production costs and an evaluation the quality properties calculated by the model quality function the hardboard.
  • the evaluation assigns production parameters, by means of which the quality requirements are not met, to an energy which increases quadratically with the increase in the degree of violation of the requirements.
  • Production parameters by means of which the requirements are met, are assessed by a uniform low energy, so that the minimum of the overall quality function in this area depends exclusively on the calculated production costs. If quality requirements are set that cannot be met by any production parameters, the optimum lies in the quadratic range of the evaluation. The position of the optimum can be varied by parameter ⁇ 1 (see below) so that the individual requirements are taken into account to different degrees. The user can therefore choose between the individual requirements that cannot be met in their entirety weigh ".
  • FIG. 3 clearly shows how for two criteria a combined evaluation function can look like.
  • X1 and X2 with two criteria Measured numbers from 0 to 100 are given, which differ for themselves Have quality functions and a common quality assessment 31 linked, which is the result of unity 20 reproduces from Figure 2.
  • Equation (1) The general form of the sigmoid-quadratic function for an n-dimensional input space is given as equation (1) in the appendix with the parameters h 1 , h o , ⁇ 1 , ⁇ o , d i , p, ⁇ i , k.
  • the optimization method described with reference to FIGS. 1 to 5 is largely software-based on a computer Monitor 60, which also serves as a user interface, carried out.
  • a computer Monitor 60 which also serves as a user interface, carried out.
  • Figure 6 it is clarified how an implementation for example to operate a refiner.
  • On the user interface 60 there is an input field 61, a Functional representation 62 of the refiner and a parameter and Result field 63 reproduced. After entering the by the user required quality data for the fiberboard as a product determine suitable production parameters for the refiner and displayed in field 63.
  • the output parameters appear on the display 63 for the refiner according to field 630, on the other hand the resulting quality and cost parameters accordingly Field 640 and finally a confirmation or validation corresponding to field 650.
  • the Optimization according to field 631 a certain operating current for the main grinder of the refiner and accordingly Field 632 a certain flow for the pre-grinder of the Refiners and continue its predetermined rotation speed corresponding to field 633. Additional specifications for the Wood age in years (a's) and proportion of hard and softwood corresponding to fields 634 to 636 and further specifications for steam pressure according to field 637.
  • Fields 651 and 652 show the local density of the database for the model of the bending strength or the heat absorption capacity in the environment of the optimization result according to field 630.
  • fields 653 and 654 the local Scattering of the database is shown in the optimization result.
  • the process described was exemplified specifically for use in a refiner in the pulp and paper industry, in particular for the production of fiberboard.
  • the optimization process shown can, however, also be used for other technical processes in which products are produced and the costs are to be minimized taking into account the quality.

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  • Life Sciences & Earth Sciences (AREA)
  • Engineering & Computer Science (AREA)
  • Manufacturing & Machinery (AREA)
  • Wood Science & Technology (AREA)
  • Forests & Forestry (AREA)
  • Feedback Control In General (AREA)
  • Management, Administration, Business Operations System, And Electronic Commerce (AREA)
EP99107828A 1998-04-20 1999-04-20 Méthode et dispositif pour contrÔler et optimaliser les processus techniques, notamment dans la fabrication de panneaux de fibres Ceased EP0951977A1 (fr)

Applications Claiming Priority (2)

Application Number Priority Date Filing Date Title
DE19817598 1998-04-20
DE19817598 1998-04-20

Publications (1)

Publication Number Publication Date
EP0951977A1 true EP0951977A1 (fr) 1999-10-27

Family

ID=7865195

Family Applications (1)

Application Number Title Priority Date Filing Date
EP99107828A Ceased EP0951977A1 (fr) 1998-04-20 1999-04-20 Méthode et dispositif pour contrÔler et optimaliser les processus techniques, notamment dans la fabrication de panneaux de fibres

Country Status (2)

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EP (1) EP0951977A1 (fr)
DE (1) DE19917858A1 (fr)

Cited By (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
DE202015102404U1 (de) 2015-05-11 2016-08-12 Dieffenbacher GmbH Maschinen- und Anlagenbau Vorrichtung zum Beleimen von Fasern oder faserähnlichem Material
DE102015107321A1 (de) 2015-05-11 2016-11-17 Dieffenbacher GmbH Maschinen- und Anlagenbau Vorrichtung und Verfahren zum Beleimen von Fasern oder faserähnlichem Material

Citations (5)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
EP0171772A2 (fr) * 1984-08-13 1986-02-19 Carl Schenck Ag Procédé pour la fabrication de matériaux
US4607325A (en) * 1981-10-21 1986-08-19 Honeywell Inc. Discontinuous optimization procedure modelling the run-idle status of plural process components
EP0656515A1 (fr) * 1993-12-01 1995-06-07 Innovatherm Prof. Dr. Leisenberg GmbH & Co. KG Procédé pour commander des sécheurs dans les manufactures de briques
DE19510008A1 (de) * 1995-03-23 1996-09-26 Siemens Ag Verfahren und Vorrichtung zur Prozeßführung bei der Zellstoff- und/oder Papierherstellung
US5655087A (en) * 1993-05-17 1997-08-05 Nec Corporation CAD system capable of calculating costs during CAD operation

Patent Citations (5)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US4607325A (en) * 1981-10-21 1986-08-19 Honeywell Inc. Discontinuous optimization procedure modelling the run-idle status of plural process components
EP0171772A2 (fr) * 1984-08-13 1986-02-19 Carl Schenck Ag Procédé pour la fabrication de matériaux
US5655087A (en) * 1993-05-17 1997-08-05 Nec Corporation CAD system capable of calculating costs during CAD operation
EP0656515A1 (fr) * 1993-12-01 1995-06-07 Innovatherm Prof. Dr. Leisenberg GmbH & Co. KG Procédé pour commander des sécheurs dans les manufactures de briques
DE19510008A1 (de) * 1995-03-23 1996-09-26 Siemens Ag Verfahren und Vorrichtung zur Prozeßführung bei der Zellstoff- und/oder Papierherstellung

Cited By (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
DE202015102404U1 (de) 2015-05-11 2016-08-12 Dieffenbacher GmbH Maschinen- und Anlagenbau Vorrichtung zum Beleimen von Fasern oder faserähnlichem Material
DE102015107321A1 (de) 2015-05-11 2016-11-17 Dieffenbacher GmbH Maschinen- und Anlagenbau Vorrichtung und Verfahren zum Beleimen von Fasern oder faserähnlichem Material

Also Published As

Publication number Publication date
DE19917858A1 (de) 1999-10-21

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