EP1173720B1 - Method and device for optimising process management and process control in an arrangement for producing farinaceous products - Google Patents
Method and device for optimising process management and process control in an arrangement for producing farinaceous products Download PDFInfo
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- 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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- pasta
- dryer
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- 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
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- 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.
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- 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)
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Abstract
Description
Die Erfindung betrifft ein Verfahren zur Optimierung der Prozessführung sowie Prozessüberwachung in einer Anlage zur Herstellung von Teigwaren, insbesondere von kurzen und langen Teigwaren gemaß den Merkmalen des Oberbegriffs des Patentanspruchs 1, sowie eine Vorrichtung zur Durchführung des Verfahrens gemäß den Merkmalen des Oberbegriffs des Anspruchs 17. Ein derartiges Verfahren und eine derartige Vorrichtung sind aus des EP-A-0 129 892 bekannt.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. Such a method and such an apparatus are known from EP-A-0 129 892.
Die industrielle Herstellung von Teigwaren erfolgt bereits mit einem vergleichsweise hohen Stand der Automatisierung. Dies betrifft z. B. die Teilprozesse des Pressens der Rohteigwaren und die Trocknung und Kühlung der Teigwaren. So beschreibt die EP-A-0 129 892 B1 eine Anlage und ein Verfahren zur Trocknung von langen Teigwaren im kontinuierlichen Betrieb mit gesteuerter Erwärmung, Befeuchtung, Trocknung und Kühlung der Teigwaren. Vorgegeben wird ein Temperatur-Zeit-Regime in einem Turbosystem. Die EP-A-0 540 699 B1 beschreibt ein weitergehendes Verfahren zur Regelung der Produktfeuchte, um ein Brechen der Teigwaren nach dem Trocknen und beim Abpacken zu vermeiden. Temperatur und Luftfeuchte werden geregelt. Hierbei erfolgt in der Endzone der Trocknung in noch warmem Zustand der Teigwaren eine erneute oberflächliche Wasserzugabe und die Temperatur der Teigwaren wird unmittelbar nach der Wasserzugabe auf unter 60°C gesenkt. Eine ähnliche Lösung unter Nutzung eines AW-Wertes lehrt die EP-A-0 322 053 B1.The industrial production of pasta is already done with a comparative high level of automation. This affects e.g. B. the sub-processes of pressing of raw pasta and drying and cooling of pasta. So describes the EP-A-0 129 892 B1 a plant and a method for drying long Pasta in continuous operation with controlled heating, humidification, Drying and cooling of the pasta. A temperature-time regime is specified in a turbo system. EP-A-0 540 699 B1 describes a further process for regulating the product moisture in order to break the Avoid pasta after drying and when packing. Temperature and Humidity is regulated. Here, drying takes place in the end zone warm condition of the pasta a renewed superficial addition of water and the The temperature of the pasta drops to below 60 ° C immediately after adding water lowered. EP-A-0 322 teaches a similar solution using an AW value 053 B1.
Automatisierte Pressen für die Herstellung der Rohteigwaren sind zum Beispiel den EP-A-0 426 766 B1 in Form eines Mischkneters, der zwei Arbeitswellen enthält, die abwechseln Knetschnecken und Scherelemente aufweisen oder der DE-44 17 357 A1 entnehmbar.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.
Der technische Ablauf und teilweise die Verfahrensparameter sind als Steuerungsdaten verfügbar. Anlagesteuerungen ermöglichen Ablaufsteuerungen entsprechend nach gewählten Prozessen und auch eine Visualisierung des Anlagenzustandes. Hinsichtlich der Sensoren sind z. B. Temperatur- und Feuchtesensoren, Drehzahlgeber oder Drucksonden bekannt. Jedoch können auf Grund unterschiedlicher Rohstoffwerte, des Maschinenverschleisses oder Abweichungen bei den Sensoren keine Online-Optimierungen vorgenommen werden. Bekannte Problembereiche liegen beim Rohstoff (Qualitäts- und Feuchteschwankungen bei Mehl und Griess u.a.), beim Raumklima, Schwankungen der Rohteigfeuchte und der Trocknungsbedingungen, auch in Verbindung mit der Qualifikation des Bedienpersonals, nicht konstanten Maschineneigenschaften und anderen.The technical process and partly the process parameters are as Control data available. Plant controls enable sequential controls according to selected processes and also a visualization of the System status. With regard to the sensors z. B. temperature and Humidity sensors, speed sensors or pressure probes are known. However, on Due to different raw material values, 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.
Auch sind Online-Messungen im feucht-heissen Klima eines Trockners und an verschiedenen Produkten sehr problematisch.Online measurements in the hot, humid climate of a dryer are also on different products very problematic.
Die DE-44 33 593 A1 zeigt ein Verfahren zur Regelung eines Extruders, wobei an Hand von Versuchsdaten oder Expertenwissen Sollwertvorgaben einer Regelung erstellt werden, deren Stellgrössen von der Produktqualität abhängen. Mittels dieser Sollwertvorgaben wird ein Arbeitspunkt optimiert und stabilisiert und es wird ein in die Maschinensteuerung integrierter Regler erstellt. Dieser Regler kann ein prozessregelnder Fuzzy-Regler sein. Nach einer Eingabe und Speicherung der ermittelten Daten werden automatisiert Regelungen für spezifische Regelstrecken adaptiert und spezifische Regler generiert. Letzteres unter Verwendung von Code-Generatoren, die in die Regelungsumgebung integriert sind.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.
Zur Ausführung des Verfahrens ist ein In-line Viskositätssensor zwischen Düse und Schneckenspitze des Extruders installiert.To carry out the process, an in-line viscosity sensor between the nozzle and Screw tip of the extruder installed.
Die DE-197 34 711 C1 beschreibt einen Regler mit zeitdiskreten, dynamischen Fuzzy-Regelgliedern, bei denen gezielt Nichtlinearitäten für ein gewünschtes Regelverhalten einbringbar sind.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.
Die DE-196 18 900 A1 beschreibt ein Verfahren zur Steuerung und Regelung der Wärmebehandlung eines bahnförmigen Guts, insbesondere einer textilen Warenbahn, die mit einem Strom eines gasförmigen Behandlungsmediums beaufschlagt wird. Basierend auf dem Wissen eines Fachmanns wird eine Regeistrategie individuell vorgegeben, die mittels eines an sich bekannten Fuzzy-Reglers umgesetzt wird. Dabei werden bestimmte Prozessparameter, wie z.B die Warentemperatur am Trocknereingang und am Trocknerausgang, Umlufttemperaturen sowie die Warenfeuchte am Einlauf und am Auslauf erfasst und dienen als Eingaben für den Fuzzy-Regler. Die Ausgabe des Fuzzy-Reglers dient zur Steuerung der Warengeschwindigkeit.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.
Ein ähnliches Verfahren ist in der DE-44 35 808 A1 offenbart. Hier wird bei einem Prozess zur Trocknung von Pressschnitzeln der Feuchtegehalt der Schnitzel über eine Gewichtsmessung bestimmt. Der aus der Gewichtsmessung bestimmte Feuchtegehalt wird zusammen mit weiteren Parametern wie Temperarturwerten oder Pressschnitzelmenge auf die Eingänge einer Fuzzy-Einheit gegeben. Das Ausgangssignal der Fuzzy-Einheit wird als Regelsignal für die Schnitzeltrocknung unter Berücksichtigung des sich ändernden Feuchtegehalts verwendet.A similar process is disclosed in DE-44 35 808 A1. Here is in a process to dry pressed chips, 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.
Die US-A-5 619 614 offenbart eine Fuzzy-Logiksteuerung einer Münz-Waschmaschine und eines Münz-Wäschetrockners für einen Waschsalon, wobei die Betriebsparameter für den Waschvorgang und den Trocknungsvorgang gesteuert werden.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.
Der Erfindung liegt nun die Aufgabe zugrunde, eine Optimierung der Prozessführung von einzelnen Teilprozessen in einer Anlage zur Herstellung von Teigwaren, insbesondere kurzen und langen Teigwaren oder dergleichen zu entwickeln, das eine verbesserte Pressen- und Trocknerregelung sowie Prozessüberwachung mit Hilfe des Einsatzes von intelligenten, Software-Technologien ermöglicht. Insbesondere soll eine einfachere Reglereinstellung und eine Verringerung der Fehlproduktion erreicht werden. Die Lösung der Aufgabe erfolgt an Hand der Merkmale der Ansprüche 1 und 17.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. In particular, 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.
Die Lösung dieser Aufgabe gemäβ den Merkmalen des Anspruchs 1 erfolgt mittels des Einsatzes von intelligenten Software-Technologien wie z.B. eines virtuellen Sensors (auch "Soft-Sensor") für die Endproduktfeuchte, mit einer Regelung der Dosierwassermenge in der Presse. Es ist möglich, die Endproduktfeuchte in den zulässigen Grenzen zu halten. Bisher war es nicht möglich, Informationen über den Produktzustand im Trockner zu erhalten. Mittels Online-Sensoren im Trockner für die Produktfeuchtemessung und/oder Gewichtsverlustmessung können zudem Klimakurve und Produktfeuchtekurve geregelt werden. This object is achieved according to the features of claim 1 by means of the insert of intelligent software technologies such as a virtual sensor (also "soft sensor") for the final product moisture, with a regulation of the dosing water quantity in the Press. It is possible to keep the final product moisture within the permissible limits. So far it was not possible to get information about the product condition in the dryer. through Online sensors in the dryer for product moisture measurement and / or weight loss measurement climate curve and product moisture curve can also be controlled.
Die Erfindung geht von der Erkenntnis aus, dass die einzelnen Teilprozesse voneinander abhängen und eine punktweise Optimierung wenig erfolgversprechend ist. Grundlage sind die Wechselwirkungen zwischen Produkteigenschaften und Maschinenverhalten. Hierbei werden Modelle zwischen den Prozessparametern (Maschineneinstellungen, Rohstoffe, Rezeptmischungen) und Produkteigenschaften (z.B. Feuchtegehalt, Farbe, Viskosität) mittels statistischen und intelligenten Software-Technologien erstellt.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.
Intelligente Software-Technologien (auch "Soft-Computing") umfassen Technologien wie Expertensysteme, Neuronale Netze, Fuzzy Logik und Genetische Algorithmen (Evolutionäre Algorithmen). Diese sind z.B. im Artikel "Soft Computing in der Automation" von P. Auer, Elektronik 34/1998 beschrieben.Intelligent software technologies (also "soft computing") 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.
Durch Kombination dieser Technologien (z.B. Neuro-Fuzzy) entstehen hybride Modelle welche sowohl das bereits vorhandene Expertenwissen (z.B. mit Fuzzy-Regeln) als auch experimentelle Daten (welche z.B. mittels statistischer Versuchsplanung und Prozessversuchen erzeugt und in neuronalen Netzen modelliert werden) berücksichtigen können. Ausserdem werden diese Modelle mit konventionellen, analytischen Modellen (z.B. basierend auf physikalischen Modellen oder Regressionsrechnung) kombiniert und ebenfalls als Hybrid bezeichnet.Combining these technologies (e.g. neuro-fuzzy) creates hybrids Models that use both the existing expert knowledge (e.g. with fuzzy rules) as well as experimental data (which e.g. by means of statistical Experiment planning and process experiments generated and in neural networks can be modeled). In addition, these models are included conventional, analytical models (e.g. based on physical models or regression calculation) combined and also referred to as a hybrid.
Insbesondere sind auch neue Methoden im Kommen, welche eine automatische Modellgenerierung (z.B. automatische Generierung der Struktur und Parameter von Neuronalen Netzen mittels z.B. Genetischer Algorithmen oder automatische Generierung von Fuzzy-Regeln aus Prozessdaten) ermöglichen. Hiermit wird eine adaptive Online-Modellanpassung einfacher möglich.In particular, new methods are emerging, which are automatic Model generation (e.g. automatic generation of the structure and parameters of Neural networks using e.g. Genetic algorithms or automatic Generate fuzzy rules from process data). Hereby a adaptive online model adaptation easier.
Mit Hilfe dieser Modelle ist eine Optimierung bzgl. Produkteigenschaften, Prozessparametern und auch Kosten (Rohstoffkosten, Betriebskosten) möglich. Hierdurch wird eine zielgerichtete, modelbasierte, adaptive Regelung möglich. Insbesondere können hiermit auch nichtlineare Systeme besser geregelt werden. With the help of these models, an optimization regarding product properties, Process parameters and also costs (raw material costs, operating costs) possible. This enables targeted, model-based, adaptive control. In particular, nonlinear systems can also be better controlled with this.
Eine weitere Aufgabe besteht darin, eine Vorrichtung zur Durchführung des Verfahrens zu schaffen.Another object is to provide a device for performing the Procedure.
Das Ergebnis ist eine adaptive Regelung zur Herstellung von Teigwaren bezüglich Pressen der Rohteigwaren und deren Trocknung/Kühlung, wobei die Anlage personalunabhängiger gefahren werden kann. Adaptive Regelungen einfacher Vorgänge sind zwar bekannt, nicht jedoch auf derart komplexe Vorgänge übertragbar.The result is an adaptive regulation regarding the production of pasta Pressing the raw pasta and drying / cooling the plant can be driven more independently of personnel. Adaptive regulations easier Processes are known, but not for such complex processes transferable.
Bereits vorhandene Sensoren können eingesetzt werden.Existing sensors can be used.
Ebenso können bekannte elektropneumatische Regelungen zur Klimaregelung in den Trocknern durch elektromechanische und selbstlemende Regler ersetzt werden.Known electropneumatic controls for climate control in the dryers are replaced by electromechanical and self-locking regulators.
Zusätzlich soll ein sanfter Übergang vom Trockner/Kühler ins Raumklima mittels Berücksichtigung des Raumklimas erreicht werden, um Produktspannungen und damit Verzug und Bruch der Teigwaren zu minimieren.In addition, a smooth transition from the dryer / cooler to the room climate should be ensured Consideration of the indoor climate can be achieved to product tensions and thus minimizing pasta warpage and breakage.
Mittels einer Online-Regelung werden Prozessstörungen automatisch kompensiert durch eine reproduzierbare, direkte oder virtuelle Online-Messung der Produktfeuchte. Durch Messung von Raumklima und Anpassung des Trocknerklimas in den einzelnen Zonen kann das Endprodukt stabilisiert werden, insbesondere ist auch eine Verringerung der Bruchhäufigkeit des Endproduktes auf dem Weg zum Silo gegeben.Process faults are automatically compensated for using online control through a reproducible, direct or virtual online measurement of the Product moisture. By measuring the indoor climate and adjusting the dryer climate in the individual zones, 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.
Die Online-Regelung ermöglicht ein langfristiges Konstanthalten der Kriterien für die Endqualität der Produkte, während der Produktion und auch bei auftretenden Prozessstörungen. Es erfolgt insbesondere eine Regelung der produktbezogenen Regelgrössen (z.B. Produktfeuchte). Jede Regelgrösse sollte messbar sein und Störgrössen sind zu reduzieren. Bei der Endproduktstabilisierung soll das Raumklima in die Online-Steuerung des Klimas einzelner Trocknerzonen, ggf. auch in die Produktbelüftung einbezogen werden. Die Teigwarenpresse kann auch als virtueller Sensor für Produkteigenschaften wie Teigfeuchte und Teigkonsistenz verwendet werden. 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. In particular, there is regulation of the product-related Standard variables (e.g. product moisture). Every controlled variable should be measurable and Disturbances are to be reduced. When it comes to stabilizing the end product, 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.
Ein Rezeptassistent gibt automatisch eine erste Angabe der für die spezifischen, gewünschten Produkteigenschaften erforderlichen Rezeptwerte. Hierbei werden aus Produktvorgaben Rezeptstartwerte generiert. An Hand von Lerndaten, Expertenwissen und physikalischen Gegebenheiten erfolgt eine Modellierung und Errechnung der Rezeptwerte aus den Vorgaben. Bei Produktwechsel erfolgt ein Vergleich, ob die Rezeptwerte für die neuen Produktvorgaben genügend ähnlich sind.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.
Eine nachfolgende Rezeptoptimierung unterstützt bei der Feineinstellung der ersten Rezeptangaben und mittels einer Diagnose können grobe Fehler erkannt und unterschieden werden, wobei der Operator Hinweise erhalten soll, welche Fehler er kontrollieren und beheben sollte.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.
Bei der Rezeptoptimierung werden die Anfangswerte beim Einfahren des Rezeptes optimiert und Zusammenhänge zwischen Zielgrössenabweichung und Einstellgrössenveränderung modelliert. Der Operator kann die Zielkriterien auf einen gewünschten Wert einstellen und neue Einstellgrössen können automatisch eingestellt werden. Manuelle Anpassungen sind ebenfalls möglich.In the recipe optimization, 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.
Die Erfindung wird nachfolgend in einem Ausführungsbeispiel an Hand einer
Zeichnung näher beschrieben. In der Zeichnung zeigen
Von einer Dosiereinheit 1, in der Griess und/oder Mehl sowie Wasser und Additive
dosiert und gemischt werden, gelangen die Rohstoffe in einen Mischkneter 2, z.B.
gemäss der EP-A-0 426 766 B1, wo ein intensives Mischen und Kneten der
Rohstoffe zu einem Rohteig erfolgt.From a dosing unit 1, in which semolina and / or flour as well as water and additives
are dosed and mixed, the raw materials go into a
Der Rohteig erreicht am Ende des Misch- und Knetvorganges eine Pressschnecke 3
des Mischkneters 2, durch welche die Rohteigware erzeugt wird. Bei Langwaren folgt
ein Diffusor 4. The raw dough reaches a
Anschliessend gelangt die nasse Rohteigware mit einem Feuchtegehalt von ca. 30 %
in einen Schütteltrockner 5 und danach in den Vortrockner 6 und Endtrockner 7 und
Kühler 8, in denen ein Trocknungsprozess gemäss der EP-A-129892 und/oder EP-A-540699
ausgeführt wird. Die Teigware verlässt den Kühler mit einer üblichen
Produktfeuchte von 11-13 %, vorzugsweise 12,5 %. Anschliessend wird die trockene
Teigware in üblicher Weise geschnitten und abgepackt.Then the wet raw pasta with a moisture content of approx. 30%
in a
In den einzelnen Abteilen des Trockners 5, 6, 7, und im Kühler 8 werden
Produktfeuchte und Gewichtsverlust der Teigware ständig mittels Online-Sensoren 9
ermittelt. Ein solcher Online-Sensor 9 ist auch in der Presschnecke 3 bzw. im
Diffusor 4 möglich.In the individual compartments of the
Es ist über die resultierende Klimaregelung möglich, die Produktfeuchte sehr nahe an optimalen 12,5 % zu halten und letztendlich die Fehlproduktion bei gleichbleibender Qualität der Teigware deutlich zu senken. It is possible via the resulting climate control to bring the product moisture very close optimal 12.5% and ultimately the wrong production with the same To significantly reduce the quality of the pasta.
- 11
- Dosiereinheitdosing
- 22
- Mischknetermixing kneader
- 33
- Pressschneckescrew press
- 44
- Diffusordiffuser
- 55
- SchütteltrocknerSchütteltrockner
- 66
- Vortrocknerpre-dryer
- 77
- Endtrocknerfinal dryer
- 88th
- Kühlercooler
- 99
- Online-SensorOnline Sensor
Claims (17)
- A method for optimizing process execution and process monitoring during the manufacture of pasta products, in particular the manufacture of long or short pasta products, wherein raw materials are intensively kneaded in a mixer/kneader, and the raw pasta exiting the one molding screw (3) in the form of moist-plastic pasta strands is guided through varyingly heated and/or moist climate zones of a dryer up until final drying, and then cooled and form-stabilized with a final moisture of less than 14%, characterized in that an automatic, self monitoring and regulating product quality control takes place by means of intelligent software technologies and online sensors that are higher ranking relative to the traditional control system and line controller during the process of manufacturing pasta products, wherein process execution and process monitoring takes place over and in all partial processes (procedural stages), and wherein models are generated between the process parameters and product properties via the statistical and intelligent software technologies.
- The method according to claim 1, characterized in that the pasta products are subjected to "online" product moisture measurement and/or weight loss measurement while being processed, especially while being dried.
- The method according to claim 2, characterized in that a climate curve is regulated in the dryer.
- The method according to claim 3, characterized in that a preset, optimal product moisture curve or drying curve is regulated.
- The method according to claims 1 to 4, characterized in that neuronal networks are used for modeling, optimization and regulation.
- The method according to claims 1 to 4, characterized in that a fuzzy system or expert system is used for modeling, optimization and regulation.
- The method according to claims 1 to 4, characterized in that analytical models are used for modeling, optimization and regulation.
- The method according to claims 1 to 4, characterized in that hybrid models are used for modeling, optimization and regulation.
- The method according to claim 8, characterized in that combinations of the technologies mentioned in claims 5 and 6 are used for the hybrid models.
- The method according to claim 9, characterized in that combinations of the technologies mentioned in claims 5 to 6 and 7 are used for the hybrid models.
- The method according to claims 1 to 10, characterized in that genetic algorithms or other optimization algorithms are used for modeling, optimization and regulation.
- The method according to claim 1, characterized in that virtual sensors are used instead of online sensors.
- The method according to claim 12, characterized in that a pasta product press is used as a virtual sensor for product properties like dough moisture and dough consistency.
- The method according to one of preceding claims 1 to 13, characterized in that a first indication of the recipe values required for specific product properties is provided.
- The method according to one of preceding claims 1 to 13, characterized in that a first indication of the recipe values required for specific product properties is provided during the development of new products.
- The method according to one of claims 1 or 14, characterized in that initial values are optimized during introduction, and correlations between target variable deviation and set value change are modeled.
- A device for optimizing process execution and process monitoring while implementing a method according to claim 1, wherein the device has a metering unit (1), a mixing kneader (2), a molding screw (3), as well as a dryer/cooler (5, 6, 7, 8), characterized in that online sensors (9) connected with a system controller are arranged in the molding screw (3) and dryer (5, 6, 7) and cooler (8) to acquire the weight loss and moisture of pasta products, wherein a diffuser (4) with at least one online sensor (9) is provided.
Applications Claiming Priority (3)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| DE19919206A DE19919206A1 (en) | 1999-04-28 | 1999-04-28 | Process for the production of pasta |
| DE19919206 | 1999-04-28 | ||
| PCT/CH2000/000163 WO2000066963A1 (en) | 1999-04-28 | 2000-03-21 | Method and device for optimising process management and process control in an arrangement for producing farinaceous products |
Publications (2)
| Publication Number | Publication Date |
|---|---|
| EP1173720A1 EP1173720A1 (en) | 2002-01-23 |
| EP1173720B1 true EP1173720B1 (en) | 2004-09-01 |
Family
ID=7906087
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| EP00908900A Expired - Lifetime EP1173720B1 (en) | 1999-04-28 | 2000-03-21 | Method and device for optimising process management and process control in an arrangement for producing farinaceous products |
Country Status (16)
| Country | Link |
|---|---|
| US (1) | US7069255B1 (en) |
| EP (1) | EP1173720B1 (en) |
| JP (1) | JP2002542810A (en) |
| CN (1) | CN1126931C (en) |
| AT (1) | ATE275260T1 (en) |
| AU (1) | AU3141600A (en) |
| BR (1) | BR0009818B1 (en) |
| CZ (1) | CZ20013416A3 (en) |
| DE (2) | DE19919206A1 (en) |
| EA (1) | EA004529B1 (en) |
| HU (1) | HUP0200874A3 (en) |
| MX (1) | MXPA01010959A (en) |
| PL (1) | PL351350A1 (en) |
| SK (1) | SK14262001A3 (en) |
| TR (1) | TR200103110T2 (en) |
| WO (1) | WO2000066963A1 (en) |
Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| DE102022211142A1 (en) | 2022-10-20 | 2024-04-25 | Wp Kemper Gmbh | Dough processing plant with several dough processing devices and method for operating such a dough processing plant |
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| JP4206485B2 (en) * | 2003-02-14 | 2009-01-14 | 宮里 義章 | Manufacturing automatic control system in mixer equipment |
| DE102004026642B4 (en) * | 2004-06-01 | 2006-10-19 | Rehau Ag + Co. | Automation of plastic extrusion through the use of neuro-fuzzy technology |
| JP4876214B2 (en) * | 2004-08-13 | 2012-02-15 | 株式会社パンの樹 | Mixer control system |
| US20090226577A1 (en) * | 2008-03-05 | 2009-09-10 | Szeflin Dave | Method for drying pistachios to achieve preferred organoleptic characteristics |
| JP5165453B2 (en) * | 2008-05-09 | 2013-03-21 | 株式会社武蔵野 | Rolling equipment |
| US8380642B2 (en) * | 2008-12-03 | 2013-02-19 | Schlumberger Technology Corporation | Methods and systems for self-improving reasoning tools |
| GB2465861B (en) * | 2008-12-03 | 2011-09-28 | Logined Bv | Self-improving reasoning tools |
| DE102010029757A1 (en) * | 2010-06-07 | 2011-12-08 | Battenfeld-Cincinnati Germany Gmbh | Cognitive technical system for the production of plastic products |
| US8904666B1 (en) | 2011-01-04 | 2014-12-09 | Buhler Aeroglide Corporation | Dryer having hygienic panels |
| CN103869712A (en) * | 2012-12-12 | 2014-06-18 | 新麦企业股份有限公司 | Stirring control method capable of judging gluten strength of dough and device thereof |
| DE102016110715A1 (en) * | 2016-06-10 | 2017-12-14 | Vorwerk & Co. Interholding Gmbh | Method for operating a food processor |
| CN107601064B (en) * | 2017-09-19 | 2019-09-24 | 中国计量大学 | Straight weight-loss type material blanking machine and its controller neural network based |
| CN110697448B (en) * | 2017-09-19 | 2021-07-02 | 中国计量大学 | Screw material proportioning machine controller based on machine learning |
| CN107720311B (en) * | 2017-09-19 | 2019-09-24 | 中国计量大学 | Screw rod weight-loss type material blanking machine and its controller neural network based |
| CN107673083B (en) * | 2017-09-19 | 2019-07-26 | 中国计量大学 | Screw material blanking device and its controller based on variable Rate study |
| CN113175794A (en) * | 2021-04-25 | 2021-07-27 | 福建工程学院 | Intelligent agricultural product drying control method based on BP neural network |
| CN113137853B (en) * | 2021-04-26 | 2022-10-21 | 四川蜀冷冷暖设备有限公司 | Intelligent control method suitable for dryer |
| RU2766517C1 (en) * | 2021-04-29 | 2022-03-15 | Федеральное государственное бюджетное образовательное учреждение высшего образования «МИРЭА-Российский технологический университет» | Method of estimating moisture content of material during drying in drum dryer |
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| DE3400300C2 (en) * | 1983-06-24 | 1986-01-23 | Gebrüder Bühler AG, Uzwil | Process for making long pasta and apparatus for carrying out such a process |
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| IT1225917B (en) | 1987-12-18 | 1990-12-07 | Barilla Flli G & R | PROCEDURE FOR THE PRODUCTION OF DRY FOOD PASTA. |
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-
1999
- 1999-04-28 DE DE19919206A patent/DE19919206A1/en not_active Withdrawn
-
2000
- 2000-03-21 AT AT00908900T patent/ATE275260T1/en not_active IP Right Cessation
- 2000-03-21 WO PCT/CH2000/000163 patent/WO2000066963A1/en active IP Right Grant
- 2000-03-21 US US09/958,535 patent/US7069255B1/en not_active Expired - Fee Related
- 2000-03-21 PL PL00351350A patent/PL351350A1/en unknown
- 2000-03-21 EA EA200101137A patent/EA004529B1/en not_active IP Right Cessation
- 2000-03-21 CN CN00805852A patent/CN1126931C/en not_active Expired - Fee Related
- 2000-03-21 DE DE50007625T patent/DE50007625D1/en not_active Expired - Lifetime
- 2000-03-21 SK SK1426-2001A patent/SK14262001A3/en unknown
- 2000-03-21 JP JP2000615554A patent/JP2002542810A/en active Pending
- 2000-03-21 AU AU31416/00A patent/AU3141600A/en not_active Abandoned
- 2000-03-21 MX MXPA01010959A patent/MXPA01010959A/en unknown
- 2000-03-21 CZ CZ20013416A patent/CZ20013416A3/en unknown
- 2000-03-21 HU HU0200874A patent/HUP0200874A3/en unknown
- 2000-03-21 EP EP00908900A patent/EP1173720B1/en not_active Expired - Lifetime
- 2000-03-21 BR BRPI0009818-3A patent/BR0009818B1/en not_active IP Right Cessation
- 2000-03-21 TR TR2001/03110T patent/TR200103110T2/en unknown
Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| DE102022211142A1 (en) | 2022-10-20 | 2024-04-25 | Wp Kemper Gmbh | Dough processing plant with several dough processing devices and method for operating such a dough processing plant |
Also Published As
| Publication number | Publication date |
|---|---|
| DE50007625D1 (en) | 2004-10-07 |
| EA200101137A1 (en) | 2002-04-25 |
| HUP0200874A2 (en) | 2002-07-29 |
| PL351350A1 (en) | 2003-04-07 |
| TR200103110T2 (en) | 2002-04-22 |
| EP1173720A1 (en) | 2002-01-23 |
| BR0009818A (en) | 2002-06-11 |
| ATE275260T1 (en) | 2004-09-15 |
| CN1345408A (en) | 2002-04-17 |
| JP2002542810A (en) | 2002-12-17 |
| DE19919206A1 (en) | 2000-11-02 |
| CN1126931C (en) | 2003-11-05 |
| BR0009818B1 (en) | 2010-10-05 |
| EA004529B1 (en) | 2004-06-24 |
| HUP0200874A3 (en) | 2003-02-28 |
| US7069255B1 (en) | 2006-06-27 |
| MXPA01010959A (en) | 2002-05-06 |
| AU3141600A (en) | 2000-11-17 |
| CZ20013416A3 (en) | 2002-04-17 |
| WO2000066963A1 (en) | 2000-11-09 |
| SK14262001A3 (en) | 2002-05-09 |
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