EP1173720B1 - Verfahren und vorrichtung zur optimierung der prozessführung sowie prozessüberwachung in einer anlage zur herstellung von teigwaren - Google Patents

Verfahren und vorrichtung zur optimierung der prozessführung sowie prozessüberwachung in einer anlage zur herstellung von teigwaren Download PDF

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Publication number
EP1173720B1
EP1173720B1 EP00908900A EP00908900A EP1173720B1 EP 1173720 B1 EP1173720 B1 EP 1173720B1 EP 00908900 A EP00908900 A EP 00908900A EP 00908900 A EP00908900 A EP 00908900A EP 1173720 B1 EP1173720 B1 EP 1173720B1
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EP
European Patent Office
Prior art keywords
pasta
dryer
optimization
moisture
product
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.)
Expired - Lifetime
Application number
EP00908900A
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German (de)
English (en)
French (fr)
Other versions
EP1173720A1 (de
Inventor
Werner Seiler
Hans Tobler
Franz Guster
Marcel Brühwiler
Mukul Agarwal
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.)
Buehler AG
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Buehler AG
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Publication date
Application filed by Buehler AG filed Critical Buehler AG
Publication of EP1173720A1 publication Critical patent/EP1173720A1/de
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Publication of EP1173720B1 publication Critical patent/EP1173720B1/de
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Classifications

    • F—MECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
    • F26—DRYING
    • F26B—DRYING SOLID MATERIALS OR OBJECTS BY REMOVING LIQUID THEREFROM
    • F26B21/00—Arrangements or duct systems, e.g. in combination with pallet boxes, for supplying and controlling air or gases for drying solid materials or objects
    • F26B21/06—Controlling, e.g. regulating, parameters of gas supply
    • F—MECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
    • F26—DRYING
    • F26B—DRYING SOLID MATERIALS OR OBJECTS BY REMOVING LIQUID THEREFROM
    • F26B25/00—Details of general application not covered by group F26B21/00 or F26B23/00
    • F26B25/22—Controlling the drying process in dependence on liquid content of solid materials or objects

Definitions

  • the invention relates to a method for optimizing process control and Process monitoring in a plant for the production of pasta, in particular of short and long pasta according to the features of the preamble of claim 1, and a device for performing the Method according to the features of the preamble of claim 17.
  • a method and such an apparatus are known from EP-A-0 129 892.
  • Automated presses for the production of raw pasta are, for example EP-A-0 426 766 B1 in the form of a mixing kneader which contains two working shafts which alternate kneading screws and shear elements or DE-44 17 357 A1 removable.
  • Plant controls enable sequential controls according to selected processes and also a visualization of the System status.
  • sensors z. B. temperature and Humidity sensors, speed sensors or pressure probes are known.
  • machine wear or Deviations in the sensors made no online optimizations become.
  • Known problem areas are in the raw material (quality and Fluctuations in moisture in flour and semolina, etc.), in the indoor climate, fluctuations the raw dough moisture and the drying conditions, also in connection with the Qualification of the operating personnel, non-constant machine properties and others.
  • DE-44 33 593 A1 shows a method for controlling an extruder, whereby Using test data or expert knowledge, setpoint specifications for a control system are created, the manipulated variables of which depend on the product quality. By means of this A setpoint is optimized and stabilized and it is integrated into the Machine control integrated controller created.
  • This controller can be a process-regulating fuzzy controller. After entering and saving the Determined data are automated regulations for specific controlled systems adapted and specific controllers generated. The latter using code generators, which are integrated in the control environment.
  • an in-line viscosity sensor between the nozzle and Screw tip of the extruder installed.
  • DE-197 34 711 C1 describes a controller with discrete-time, dynamic Fuzzy control elements, in which targeted non-linearities for a desired Control behavior can be introduced.
  • DE-196 18 900 A1 describes a method for controlling and regulating the Heat treatment of a sheet material, in particular a textile Goods web using a stream of a gaseous treatment medium is applied. Based on the knowledge of a specialist, a Regulating strategy individually specified using a fuzzy controller known per se is implemented. Certain process parameters, such as the Goods temperature at the dryer entrance and at the dryer exit, circulating air temperatures as well the moisture in the goods at the inlet and outlet is recorded and serves as input for the Fuzzy controller. The output of the fuzzy controller is used to control the speed of the goods.
  • a similar process is disclosed in DE-44 35 808 A1.
  • the moisture content of the chips via a weight measurement certainly.
  • the moisture content determined from the weight measurement is combined with further parameters such as temperature values or quantity of pressed chips Given inputs of a fuzzy unit.
  • the output signal of the fuzzy unit is called a control signal for chip drying, taking into account the changing moisture content used.
  • US-A-5 619 614 discloses fuzzy logic control of a coin operated washing machine and a coin-operated clothes dryer for a laundromat, the operating parameters for the Washing process and drying process can be controlled.
  • the invention is based on the object of optimizing the process control of individual sub-processes in a plant for the production of pasta, especially short and long pasta or the like to develop an improved press and dryer control as well as process monitoring with the help of intelligent, Software technologies enables.
  • a simpler controller setting and a reduction in faulty production can be achieved.
  • the task is solved Hand of the features of claims 1 and 17.
  • the invention is based on the knowledge that the individual sub-processes depend on each other and point-by-point optimization is not very promising is.
  • the basis are the interactions between product properties and Machine behavior. This involves models between the process parameters (Machine settings, raw materials, recipe mixtures) and product properties (e.g. moisture content, color, viscosity) using statistical and intelligent Software technologies created.
  • Intelligent software technologies include technologies such as expert systems, neural networks, fuzzy logic and genetic algorithms (Evolutionary algorithms). These are e.g. in the article “Soft Computing in the Automation” by P. Auer, Elektronik 34/1998.
  • Another object is to provide a device for performing the Procedure.
  • Process faults are automatically compensated for using online control through a reproducible, direct or virtual online measurement of the Product moisture.
  • the end product can be stabilized, in particular also a reduction in the frequency of breakage of the end product on the way to Given silo.
  • the online regulation enables the criteria for the company to remain constant over the long term Final quality of the products, during production and also when they occur Process disturbances.
  • the product-related Standard variables e.g. product moisture
  • Every controlled variable should be measurable and Disturbances are to be reduced.
  • the indoor climate should in the online control of the climate of individual dryer zones, possibly also in the Product ventilation should be included.
  • the pasta press can also be considered a virtual one Sensor used for product properties such as dough moisture and dough consistency become.
  • a prescription assistant automatically gives a first indication of the specific required recipe values required product properties. Here are from Product specifications generated recipe start values. Based on learning data, Expert knowledge and physical conditions are modeled and Calculation of the recipe values from the specifications. When changing products there is a Comparison of whether the prescription values for the new product specifications are sufficiently similar are.
  • a subsequent recipe optimization supports the fine adjustment of the first one Recipe information and a diagnosis can identify gross errors and a distinction is made, whereby the operator should receive information about which errors he should check and fix.
  • the initial values when the recipe is run in optimized and correlations between target size deviation and Modeled change in setting size The operator can target the target criteria Set the desired value and new setting variables can automatically can be set. Manual adjustments are also possible.
  • the raw materials go into a mixer kneader 2, e.g. according to EP-A-0 426 766 B1, where intensive mixing and kneading of the Raw materials are made into a raw dough.
  • the raw dough reaches a press screw 3 at the end of the mixing and kneading process of the mixer kneader 2, through which the raw pasta is produced.
  • a diffuser 4 With long goods follows a diffuser 4.
  • the wet raw pasta with a moisture content of approx. 30% in a shaker 5 and then in the pre-dryer 6 and final dryer 7 and Cooler 8, in which a drying process according to EP-A-129892 and / or EP-A-540699 is performed.
  • the pasta leaves the cooler with a conventional one Product moisture of 11-13%, preferably 12.5%.
  • the dry Pasta cut and packaged in the usual way.

Landscapes

  • Engineering & Computer Science (AREA)
  • Mechanical Engineering (AREA)
  • General Engineering & Computer Science (AREA)
  • Manufacturing And Processing Devices For Dough (AREA)
  • Noodles (AREA)
  • Management, Administration, Business Operations System, And Electronic Commerce (AREA)
  • Drying Of Solid Materials (AREA)
  • General Factory Administration (AREA)
  • Paper (AREA)
EP00908900A 1999-04-28 2000-03-21 Verfahren und vorrichtung zur optimierung der prozessführung sowie prozessüberwachung in einer anlage zur herstellung von teigwaren Expired - Lifetime EP1173720B1 (de)

Applications Claiming Priority (3)

Application Number Priority Date Filing Date Title
DE19919206A DE19919206A1 (de) 1999-04-28 1999-04-28 Verfahren zur Herstellung von Teigwaren
DE19919206 1999-04-28
PCT/CH2000/000163 WO2000066963A1 (de) 1999-04-28 2000-03-21 Verfahren und vorrichtung zur optimierung der prozessführung sowie prozessüberwachung in einer anlage zur herstellung von teigwaren

Publications (2)

Publication Number Publication Date
EP1173720A1 EP1173720A1 (de) 2002-01-23
EP1173720B1 true EP1173720B1 (de) 2004-09-01

Family

ID=7906087

Family Applications (1)

Application Number Title Priority Date Filing Date
EP00908900A Expired - Lifetime EP1173720B1 (de) 1999-04-28 2000-03-21 Verfahren und vorrichtung zur optimierung der prozessführung sowie prozessüberwachung in einer anlage zur herstellung von teigwaren

Country Status (16)

Country Link
US (1) US7069255B1 (tr)
EP (1) EP1173720B1 (tr)
JP (1) JP2002542810A (tr)
CN (1) CN1126931C (tr)
AT (1) ATE275260T1 (tr)
AU (1) AU3141600A (tr)
BR (1) BR0009818B1 (tr)
CZ (1) CZ20013416A3 (tr)
DE (2) DE19919206A1 (tr)
EA (1) EA004529B1 (tr)
HU (1) HUP0200874A3 (tr)
MX (1) MXPA01010959A (tr)
PL (1) PL351350A1 (tr)
SK (1) SK14262001A3 (tr)
TR (1) TR200103110T2 (tr)
WO (1) WO2000066963A1 (tr)

Cited By (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
DE102022211142A1 (de) 2022-10-20 2024-04-25 Wp Kemper Gmbh Teigbearbeitungsanlage mit mehreren Teigbearbeitungseinrichtungen sowie Verfahren zum Betrieb einer derartigen Teigbearbeitungsanlage

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JP4206485B2 (ja) * 2003-02-14 2009-01-14 宮里 義章 ミキサー装置に於ける製造自動制御システム
DE102004026642B4 (de) * 2004-06-01 2006-10-19 Rehau Ag + Co. Automatisierung der Kunststoff-Extrusion durch Einsatz der Neuro-Fuzzy-Technologie
JP4876214B2 (ja) * 2004-08-13 2012-02-15 株式会社パンの樹 ミキサー制御システム
US20090226577A1 (en) * 2008-03-05 2009-09-10 Szeflin Dave Method for drying pistachios to achieve preferred organoleptic characteristics
JP5165453B2 (ja) * 2008-05-09 2013-03-21 株式会社武蔵野 圧延装置
GB2465861B (en) * 2008-12-03 2011-09-28 Logined Bv Self-improving reasoning tools
US8380642B2 (en) * 2008-12-03 2013-02-19 Schlumberger Technology Corporation Methods and systems for self-improving reasoning tools
DE102010029757A1 (de) * 2010-06-07 2011-12-08 Battenfeld-Cincinnati Germany Gmbh Kognitives technisches System zur Herstellung von Kunststofferzeugnissen
US8904666B1 (en) 2011-01-04 2014-12-09 Buhler Aeroglide Corporation Dryer having hygienic panels
CN103869712A (zh) * 2012-12-12 2014-06-18 新麦企业股份有限公司 可判断面团筋度的搅拌控制方法与装置
DE102016110715A1 (de) * 2016-06-10 2017-12-14 Vorwerk & Co. Interholding Gmbh Verfahren zum Betreiben einer Küchenmaschine
CN110697439B (zh) * 2017-09-19 2021-03-12 中国计量大学 基于变速率学习的螺杆式物料下料装置控制器
CN110697449B (zh) * 2017-09-19 2021-07-02 中国计量大学 一种基于神经网络的螺杆失重式物料下料机控制器
CN107640609B (zh) * 2017-09-19 2019-09-24 中国计量大学 基于机器学习的螺杆式物料配料机控制器
CN107601064B (zh) * 2017-09-19 2019-09-24 中国计量大学 基于神经网络的直落失重式物料下料机及其控制器
CN113175794A (zh) * 2021-04-25 2021-07-27 福建工程学院 一种基于bp神经网络的农产品智能烘干控制方法
CN113137853B (zh) * 2021-04-26 2022-10-21 四川蜀冷冷暖设备有限公司 一种适用于烘干机的智能控制方法
RU2766517C1 (ru) * 2021-04-29 2022-03-15 Федеральное государственное бюджетное образовательное учреждение высшего образования «МИРЭА-Российский технологический университет» Способ оценки влажности материала в процессе сушки в барабанной сушильной установке

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Publication number Priority date Publication date Assignee Title
DE102022211142A1 (de) 2022-10-20 2024-04-25 Wp Kemper Gmbh Teigbearbeitungsanlage mit mehreren Teigbearbeitungseinrichtungen sowie Verfahren zum Betrieb einer derartigen Teigbearbeitungsanlage

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Publication number Publication date
ATE275260T1 (de) 2004-09-15
CN1345408A (zh) 2002-04-17
AU3141600A (en) 2000-11-17
PL351350A1 (en) 2003-04-07
BR0009818A (pt) 2002-06-11
TR200103110T2 (tr) 2002-04-22
SK14262001A3 (sk) 2002-05-09
CN1126931C (zh) 2003-11-05
EP1173720A1 (de) 2002-01-23
JP2002542810A (ja) 2002-12-17
HUP0200874A2 (hu) 2002-07-29
EA004529B1 (ru) 2004-06-24
BR0009818B1 (pt) 2010-10-05
CZ20013416A3 (cs) 2002-04-17
HUP0200874A3 (en) 2003-02-28
US7069255B1 (en) 2006-06-27
DE50007625D1 (de) 2004-10-07
EA200101137A1 (ru) 2002-04-25
MXPA01010959A (es) 2002-05-06
DE19919206A1 (de) 2000-11-02
WO2000066963A1 (de) 2000-11-09

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