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EP0965021B1 - Anlage zur behandlung von nahrungsmitteln - Google Patents

Anlage zur behandlung von nahrungsmitteln Download PDF

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Publication number
EP0965021B1
EP0965021B1 EP98909553A EP98909553A EP0965021B1 EP 0965021 B1 EP0965021 B1 EP 0965021B1 EP 98909553 A EP98909553 A EP 98909553A EP 98909553 A EP98909553 A EP 98909553A EP 0965021 B1 EP0965021 B1 EP 0965021B1
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EP
European Patent Office
Prior art keywords
conveyor
products
image
camera
articles
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
EP98909553A
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English (en)
French (fr)
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EP0965021A1 (de
Inventor
Bernard Delpuech
Nicolas Viard
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.)
LAir Liquide SA pour lEtude et lExploitation des Procedes Georges Claude
Original Assignee
Air Liquide SA
LAir Liquide SA a Directoire et Conseil de Surveillance pour lEtude et lExploitation des Procedes Georges Claude
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Application filed by Air Liquide SA, LAir Liquide SA a Directoire et Conseil de Surveillance pour lEtude et lExploitation des Procedes Georges Claude filed Critical Air Liquide SA
Publication of EP0965021A1 publication Critical patent/EP0965021A1/de
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Publication of EP0965021B1 publication Critical patent/EP0965021B1/de
Anticipated expiration legal-status Critical
Expired - Lifetime legal-status Critical Current

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Classifications

    • F—MECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
    • F25—REFRIGERATION OR COOLING; COMBINED HEATING AND REFRIGERATION SYSTEMS; HEAT PUMP SYSTEMS; MANUFACTURE OR STORAGE OF ICE; LIQUEFACTION SOLIDIFICATION OF GASES
    • F25D—REFRIGERATORS; COLD ROOMS; ICE-BOXES; COOLING OR FREEZING APPARATUS NOT OTHERWISE PROVIDED FOR
    • F25D3/00—Devices using other cold materials; Devices using cold-storage bodies
    • F25D3/10—Devices using other cold materials; Devices using cold-storage bodies using liquefied gases, e.g. liquid air
    • F25D3/11—Devices using other cold materials; Devices using cold-storage bodies using liquefied gases, e.g. liquid air with conveyors carrying articles to be cooled through the cooling space
    • G—PHYSICS
    • G06—COMPUTING OR CALCULATING; COUNTING
    • G06M—COUNTING MECHANISMS; COUNTING OF OBJECTS NOT OTHERWISE PROVIDED FOR
    • G06M7/00—Counting of objects carried by a conveyor
    • G06M7/02—Counting of objects carried by a conveyor wherein objects ahead of the sensing element are separated to produce a distinct gap between successive objects
    • G06M7/04—Counting of piece goods, e.g. of boxes
    • F—MECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
    • F25—REFRIGERATION OR COOLING; COMBINED HEATING AND REFRIGERATION SYSTEMS; HEAT PUMP SYSTEMS; MANUFACTURE OR STORAGE OF ICE; LIQUEFACTION SOLIDIFICATION OF GASES
    • F25D—REFRIGERATORS; COLD ROOMS; ICE-BOXES; COOLING OR FREEZING APPARATUS NOT OTHERWISE PROVIDED FOR
    • F25D2500/00—Problems to be solved
    • F25D2500/04—Calculation of parameters
    • F—MECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
    • F25—REFRIGERATION OR COOLING; COMBINED HEATING AND REFRIGERATION SYSTEMS; HEAT PUMP SYSTEMS; MANUFACTURE OR STORAGE OF ICE; LIQUEFACTION SOLIDIFICATION OF GASES
    • F25D—REFRIGERATORS; COLD ROOMS; ICE-BOXES; COOLING OR FREEZING APPARATUS NOT OTHERWISE PROVIDED FOR
    • F25D2700/00—Means for sensing or measuring; Sensors therefor
    • F25D2700/16—Sensors measuring the temperature of products

Definitions

  • the present invention relates to an installation of article processing as defined in the preamble to the claim 1.
  • Such an installation is, for example, known from document EP-A-0 167 405.
  • the invention relates to food processing facilities, for example example of installations freezing of food items, such as portions minced meat or fish fillets, dishes prepared, dairy products, or pastries. It will be understood that the list given previously cannot be considered as limiting but is in fact purely illustrative of the many possibilities of the food industry.
  • Known deep freezing systems include for example a deep freezing tunnel leaves by a belt conveyor on which the items to be frozen.
  • the belt conveyor runs in continuous through the freezing tunnel.
  • the freezing tunnel is supplied with a fluid cryogenic, such as liquid nitrogen or dioxide liquid carbon.
  • a fluid cryogenic such as liquid nitrogen or dioxide liquid carbon.
  • This cryogenic fluid is brought into contact with the articles to be treated. In contact with the articles, the cryogenic fluid vaporizes, thereby transferring frigories to articles.
  • These scales generally include a conveyor belt placed upstream of the belt conveyor of the tunnel freezing. Weighing devices are arranged below of the conveyor in order to continuously determine the weight of articles circulating on this one. In the event that several items, for example portions of minced meat, are arranged side by side across the width of the conveyor, several weighing devices are arranged side by side following the movement paths of the articles.
  • the weighing devices used in the means of detection currently known include moving parts and implement a weighing mechanism sophisticated. This mechanism is sensitive to the influence of temperature. In particular, the weighing devices are prone to freezing blockages when put on used at a very low temperature.
  • the weighing devices cannot be directly associated with the conveyor of the freezing tunnel.
  • the invention aims to provide a solution to disadvantages mentioned above and in particular of provide an item processing facility ensuring detection of articles processed by the device directly on the conveyor associated with the device and which either insensitive to the influence of temperature, but also allowing the determination of the actual temperature of outgoing items installation.
  • the subject of the invention is a installation as defined in claim 1.
  • the camera associated with the means of image processing determines a value representative of the quantity and, where appropriate, the quality of the articles introduced into the device, for example the number of items or their volume, or the rate occupancy of the conveyor, without using any means mechanical sensitive to the effects of temperature.
  • the image being taken directly on the conveyor transfer of the treatment device the installation is small footprint and requires no transfer between characterization means and the apparatus of actual treatment.
  • the installation shown in Figures 1 and 2 has a freezing tunnel 10 open to both ends. It includes a supply line 11 in cryogenic fluid, for example liquid nitrogen.
  • the tunnel is traversed by a conveyor belt 12 circulating in the direction X-X in the direction of the arrow F1.
  • the conveyor protrudes from each side of the tunnel freezing 10.
  • it includes a section input 14 for the entry into the tunnel of articles to be frozen and an outlet section 16 for the evacuation of frozen items.
  • the tunnel shown is assumed to be suitable for freezing portions of roughly shaped meat oval. These portions are designated by the letter P in the figures.
  • the inlet section 14 of the conveyor is arranged in output of a machine M for shaping the portions.
  • This machine is suitable for producing simultaneously from one to six servings of minced meat.
  • Transfer means not shown are provided to take the portions out of the machine formatting M and depositing these on the section input 14.
  • the means of transfer are adapted to deposit the portions P sequentially on the conveyor circulating continuously according to a predefined pattern.
  • the portions P are arranged in lines along the width Y-Y of the conveyor 12, as shown in Figure 1.
  • the portions P are aligned in rows which may include a to six servings, depending on the number of servings simultaneously produced by the shaping device Mr.
  • the installation comprises means 20 for detecting the articles treated in the tunnel.
  • These means 20 here comprise a camera 22 connected to a information processing unit 23.
  • the latter comprises a central computing unit 24 comprising in particular means for processing a digital image collected by said camera.
  • the camera 22 is arranged above the inlet section 14 of the conveyor with its shooting direction extending substantially perpendicular to the plane of movement of the conveyor 12.
  • the camera is for the embodiment shown suitable for taking a digital image monochrome covering most of the section surface 14.
  • FIG. 3 An example of image collected by the camera 22 is shown in Figure 3.
  • This image, designated by the reference 25, shows two rows, noted R1, R2, each with five black spots corresponding to conveyor areas covered by an article Surface of the conveyor left free appears in white on the image 25.
  • the means 24 for processing the digital image are suitable for determining a representative value of the quantity of articles treated by the tunnel.
  • This quantity is for example the number n of articles introduced, the volume of articles introduced, or the rate occupancy of the conveyor.
  • the central computing unit 24 is for example formed by a microcomputer comprising an interface connection to camera 22 suitable for collecting an image digitized.
  • An image processing program is loaded in the microcomputer in order to analyze the image produced by said camera. This will be described later in reference to figure 4.
  • the information processing unit 23 comprises means for triggering the taking of an image at a predetermined frequency (i.e. transfer of a image from camera to unit), frequency which is includes will depend on the type of treatment then performed by the unit, frequency therefore sufficiently low to allow computer image processing.
  • This frequency is for example of the order of 0.3 Hertz but may commonly vary between a few tenths of Hertz and a few tens Hertz.
  • the installation shown on the Figure 1 includes an optical barrier 26 comprising two sections of optical fiber 28, 30 aligned, the opposite ends 28A, 30A are arranged face to face with on either side of the conveyor 12.
  • the embodiment illustrated here is therefore based on the combined use of a monochrome camera and a optical barrier.
  • the section 28 of optical fiber has at its other end a light emitting diode 32 powered by a source of electrical power for the establishment of a permanent light beam through of fiber 28.
  • the other end of fiber 30 is associated with a photodetector 34 connected to the central processing unit calculus 24.
  • Fibers 28 and 30 are arranged at a level such as the light beam passing through the conveyor in the direction Y-Y and extending from the fiber 28 to fiber 30 is interrupted by rows of items traveling on the conveyor.
  • the photodetector 34 connected to the unit 23, allows thus to determine the number of beam interruptions, which corresponds to the number of rows of penetrating items in the freezing tunnel 10. If the items are arranged in a different pattern in a row, by example an arc of a circle, the optical barrier 26 exerts identical function of counting the number of patterns entering the tunnel, regardless of number of items in each pattern.
  • nozzles 36, 38 are provided for ejecting a gas dry, especially nitrogen, on the ends of the fibers optics to protect them from the effects cold.
  • nozzles are connected to supply means as dry gas, this gas being at a temperature higher than the temperature prevailing in the tunnel enclosure.
  • the temperature of the dry gas ejected is for example equal to the room temperature (20 ° C).
  • the central computing unit 24 is connected to a flow meter 40 suitable for determining the fluid flow cryogenic introduced into tunnel 10.
  • the unit 24 is connected to storage means 42 comprising, for each type of article which can be treated in the tunnel, a curve G 5 , specific to the article, of variation of its enthalpy as a function of its temperature.
  • a display screen 44 is connected to the unit data center 24 in order to display the temperature of the items leaving the tunnel.
  • the installation according to the invention operates from the next way.
  • the camera 22 While the articles circulate continuously on the conveyor, the camera 22 detects at a given frequency a image of section 14 and transmits it to the information processing 23. It is then analyzed by the image processing program.
  • the image processing program implemented includes a first step of filtering the image from the camera.
  • This first step designated by The reference 50 on the flow diagram of FIG. 4, consists in comparing the gray level of each pixel of the image to a value of reference and to replace the pixel considered by a pixel white if the gray level is less than the value of reference and with a black pixel if the gray level is greater than the reference value. So it results an image like the one shown in Figure 3 in which areas of the conveyor covered by an article form black spots on a white background.
  • the image is positioned so that the direction X-X of advancement of the conveyor extends according to the height of the image and that the width Y-Y of the conveyor, direction perpendicular to the direction of travel of the conveyor expands along the width of the image.
  • step 52 the program establishes a histogram 52A of the number of black pixels in the X-X direction. This histogram represents, for each line parallel to the axis Y-Y of the scanned image, the total number of black pixels contained in this line. The calculation is made for all the lines of the image.
  • the histogram 52A has two successive peaks corresponding to the two rows R1 and R2.
  • a histogram 54A is established in step 54 by summing the black pixels for each line of the scanned image parallel to the X-X axis. As shown in Figure 3, the histogram 54A has five peaks corresponding to the five articles contained in the two rows R1 and R2.
  • steps 56 and 58 the program determines the number of peaks contained in histograms 52A and 54A.
  • the program counts for example, for each histogram, the number of peaks including the height exceeds a predetermined reference value S1, S2 represented by a dotted line in Figure 3.
  • the program calculates, in step 60, the number of items shown in the image and in especially the number of items per row. This last value is indicative of the density of items on the conveyor at the instant considered.
  • the central computing unit 24 connected to the barrier optics 26 allows continuous determination with precision the number of rows of items processed through the tunnel.
  • unit data center 24 continuously determines the number of articles brought inside the tunnel.
  • the program determines, in step 60, the dimensions of the articles in both directions extending perpendicular to the grip direction camera view.
  • the program determines the occupancy rate of the conveyor, i.e. the the surface occupied by the articles to be treated on the surface free of the conveyor contained in the analyzed image.
  • the occupancy rate of the conveyor constitutes a other value representative of the density of articles on the conveyor.
  • the central computing unit 24 continuously determines from the oc rate: collection of conveyor and the actual number of rows of items penetrating in the tunnel, a value representative of the quantity items entering the tunnel at any given time. This value is for example the product of the rate occupancy by the number of rows entering the tunnel per unit of time.
  • camera 22 does not provide an image of all items entering the tunnel, due to speed high conveyor circulation and slowness relative to the calculation unit, it is possible by the combined use of the camera and the barrier optics to accurately determine a representative value the quantity of articles treated in the installation.
  • the central computing unit 24 includes a program making it possible to continuously determine this temperature from a stored curve G 5 of enthalpy variation, of the volume q of cryogenic fluid introduced into the tunnel per unit of time, the pressure and temperature of the cryogenic fluid, as well as the number n of articles, the mass of which is known, introduced per unit of time into the tunnel and their temperature input Te.
  • the cryogenic fluid is liquid nitrogen. It could be replaced by carbon dioxide, argon or any other fluid.
  • the curve G 5 translates the variation of the enthalpy H of a kilogram of articles when the temperature thereof changes from the temperature of -189 ° C (temperature of liquid nitrogen to the storage pressure for example equal to 2 bars absolute) at any temperature T given on the abscissa and at atmospheric pressure.
  • the enthalpy curve G 5 stored in the storage means 42, is determined experimentally.
  • a kilogram of articles is immersed in a known initial temperature T in a container of Dewar filled with liquid nitrogen and we measure, for example at using a balance, the amount of nitrogen vaporized to bring items from initial temperature to liquid nitrogen temperature (-196 ° C) at pressure atmospheric.
  • the enthalpy H transferred to articles in the Dewar container corresponds to the enthalpy of vaporization nitrogen at the pressure considered. This value is proportional to the measured amount of vaporized nitrogen.
  • the program loaded into the central computing unit 24 continuously determines the final temperature Ts of a kilogram of articles leaving the tunnel, from the inlet temperature Te and the enthalpy DH T transferred to a kilogram of articles by the nitrogen introduced into the tunnel.
  • the program finally determines the temperature Ts of the articles leaving, this temperature corresponding to the enthalpy Hs.
  • the central computing unit 24 is connected to a temperature probe brought into contact with items immediately before entering the tunnel. It can also be the temperature of a stabilization in which the items have stayed before their introduction into the tunnel.
  • the enthalpy DH T transferred by nitrogen to the articles in the tunnel is determined as follows.
  • the curve G 6 gives the enthalpy DH released by a liter of liquid nitrogen when the latter passes, for a given pressure, from its liquefaction temperature to any temperature T given on the abscissa.
  • the program determines from curve G 6 the enthalpy DH Ta released in the tunnel by a liter of liquid nitrogen, when this vaporizes and passes from its storage temperature (- 189 ° C) at the temperature Ta of the gases leaving the tunnel.
  • the temperature Ta is for example measured inside from the tunnel enclosure to its exit (for example at 1 meter before the gas outlet) by a temperature probe connected to the central computing unit 24.
  • This temperature Ta is generally related to the temperature of setpoint of the tunnel and the entry temperature of the articles. It is for example of the order of -30 ° C.
  • the mass M P of articles introduced into the tunnel per unit of time is determined from the number n of articles detected at the entrance to the tunnel per unit of time and the average weight of the articles.
  • the enthalpy DH T is then calculated from the gross enthalpy DH B taking into account the thermal losses of the tunnel DH P.
  • the material enthalpy losses DH P of the tunnel are evaluated experimentally by leaving the tunnel to operate in the absence of articles for different temperature values T prevailing inside the enclosure. As before, from the volume of nitrogen consumed per unit of time to keep the temperature T inside the enclosure constant, the enthalpy due to tunnel losses is determined per unit of time.
  • the enthalpy losses of the tunnel are proportional over time, the proportionality coefficient can be approximated based on the average temperature in the tunnel by a polynomial of degree 2.
  • the installation described here allows accurately determine the actual temperature of exit of articles and not just a temperature estimated of these. Indeed, the temperature calculated in this installation takes into account the number of articles actually introduced into the freezing tunnel and the amount of cryogenic fluid actually introduced.
  • the detection means used in the present installation are insensitive to temperature prevailing in the immediate vicinity of the entrance to the tunnel freezing. Indeed, no moving mechanical part is implementation and the optical detection means used are little influenced by low temperatures.
  • the camera 22 is arranged above of the conveyor so that it has little exposure to cold, highest temperatures found in the area installation.
  • the electrical elements of the optical barrier namely the transmitter and the receiver are separated from the conveyor by the use of fibers optics.
  • the camera and the optical barrier are arranged on the output section 16 of the conveyor.
  • the installation includes means for selection of the nature of the articles treated in the tunnel freezing so the central processing unit 24 uses the corresponding enthalpy variation curve items being processed for the purpose of calculating their outlet temperature.
  • the flow meter 40 can be replaced by a level gauge installed in the tank storage of cryogenic liquid, this gauge being adapted to indicate to unit 24 the evolution of the level in the tank.
  • the detection means described here can be implemented in a treatment facility articles for billing for the use of the processing device depending on the quantity items actually processed by the device, for example per operating hour of the installation, or per kilogram of product treated in the installation.

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  • Engineering & Computer Science (AREA)
  • Physics & Mathematics (AREA)
  • General Engineering & Computer Science (AREA)
  • Combustion & Propulsion (AREA)
  • Mechanical Engineering (AREA)
  • Thermal Sciences (AREA)
  • Chemical & Material Sciences (AREA)
  • General Physics & Mathematics (AREA)
  • Theoretical Computer Science (AREA)
  • Control Of Conveyors (AREA)
  • General Preparation And Processing Of Foods (AREA)
  • Image Processing (AREA)
  • Investigating Or Analysing Materials By Optical Means (AREA)
  • Investigating Materials By The Use Of Optical Means Adapted For Particular Applications (AREA)

Claims (13)

  1. Anlage zur Behandlung von Nahrungsartikeln von der Art mit einer Vorrichtung (10) zur Kühlung von Nahrungsartikeln indem die Artikel einem Kühlfluid ausgesetzt werden, wobei die Vorrichtung mit einer Fördereinrichtung (12) zum Einführen der Artikel in die Vorrichtung und zur Herausnahme der Artikel aus der Vorrichtung (10) verbunden ist, wobei die Anlage außerdem Mittel (20) zur Erfassung der durch die Vorrichtung (10) behandelten Artikel (P) umfasst, wobei diese Mittel (20) zur Ermittlung eines die Menge und gegebenenfalls die Qualität der durch die Vorrichtung behandelten Artikel angebenden Wertes ausgelegt sind, wobei die Erfassungsmittel (20) eine Kamera (22) umfassen, die dafür ausgelegt ist, ein Digitalbild eines Abschnitts (14) der für den Transport der Artikel (P) bestimmten Fördereinrichtung (12) zu erzeugen, wobei das Digitalbild die auf dem Abschnitt (14) der Fördereinrichtung getragenen Artikel wiedergibt, wobei die Kamera (22) mit einer Informationsverarbeitungseinheit (23) verbunden ist, die Bildverarbeitungsmittel (24) umfasst, die dafür ausgelegt sind, den die Menge und gegebenenfalls die Qualität der durch die Vorrichtung behandelten Artikel (P) angebenden Wert auf der Grundlage des Digitalbildes zu ermitteln, dadurch gekennzeichnet, dass sie mit der Informationsverarbeitungseinheit (23) verbundene Mittel (40) zur Messung der Menge des Kühlfluids umfasst, dem die Artikel ausgesetzt werden, und die Informationsverarbeitungseinheit (23) Mittel (24) zur Berechnung der Temperatur jedes Artikels (P) am Ausgang der Vorrichtung (10) in Abhängigkeit von dem die Menge von behandelten Artikeln und der gemessenen Menge von Kühlfluid angebenden Wert umfasst.
  2. Anlage nach Anspruch 1, dadurch gekennzeichnet, dass die Informationsverarbeitungseinheit (23) Mittel (42) zur Speicherung der Kurve (Γs) der Enthalpieänderung eines Artikels in Abhängigkeit von seiner Temperatur und Mittel (24) zur Ermittlung der Austrittstemperatur eines Artikels auf der Basis der Enthalpiekurve (Γs), der gemessenen Menge von Kühlfluid, des die Menge der behandelten Artikel angebenden Wertes und der Anfangstemperatur der Artikel umfasst.
  3. Anlage nach Anspruch 1 oder 2, dadurch gekennzeichnet, dass die Blickrichtung der Kamera (22) sich im wesentlichen senkrecht zur Bewegungsebene der Fördereinrichtung (12) erstreckt.
  4. Anlage nach einem der Ansprüche 1 bis 3, dadurch gekennzeichnet, dass die Informationsverarbeitungseinheit (23) Mittel (24) zur Auslösung der Aufnahme eines Bildes zu vorbestimmten Auslösezeitpunkten umfasst und dass die Bildverarbeitungsmittel (24) Mittel umfasst, die zur Berechnung eines die Dichte der Artikel auf der Fördereinrichtung (12) angebenden Wertes zu jedem Auslösezeitpunkt auf der Basis der Digitalbildes des Abschnitts (14) der Fördereinrichtung zu diesem Zeitpunkt in der Lage ist.
  5. Anlage nach Anspruch 4, dadurch gekennzeichnet, dass die Kamera eine Kamera monochromer oder farbiger Art ist.
  6. Anlage nach Anspruch 5, dadurch gekennzeichnet, dass die Kamera eine Kamera farbiger Art ist und dass die Bildverarbeitung eine Analyse der in dem Bild vorhandenen Farben umfasst, die es gestattet, durch Vergleich mit einer Referenzfarbe den die Dichte der Artikel auf der Fördereinrichtung angebenden Wert zu ermitteln.
  7. Anlage nach einem der Ansprüche 4 bis 6, dadurch gekennzeichnet, dass sie Mittel zur Plazierung der Artikel (P) auf der Fördereinrichtung (12) gemäß einem vorbestimmten Muster umfasst, das sequentiell auf der Fördereinrichtung mit eine variablen Menge von Artikeln für jedes Muster reproduziert wird, und dass sie mit der Informationsverarbeitungseinheit (23) verbundene Mittel (26) zur Zählung der Zahl von Mustern, die vor der Kamera (22) vorbeilaufen, umfasst und dass die Informationsverarbeitungseinheit (23) Mittel (24) zur Auswertung des die Menge der behandelten Artikel angebenden Wertes auf der Basis des bei jedem Auslösezeitpunkt berechneten, die Dichte von Artikeln auf der Fördereinrichtung angebenden Wertes und der Anzahl der gezählten Muster umfasst.
  8. Anlage nach Anspruch 7, dadurch gekennzeichnet, dass die Zählmittel eine Schranke mit zumindest einem Lichtstrahl (26) umfassen, die mit der Informationsverarbeitungseinheit (23) verbunden und quer zur Fördereinrichtung (12) angeordnet ist, wobei der Strahl der Schranke in der Bewegungsebene der Artikel (P) angeordnet ist, um von den sich auf der Fördereinrichtung (12) bewegenden Artikeln (P) unterbrochen zu werden.
  9. Anlage nach Anspruch 8, dadurch gekennzeichnet, dass die Lichtschranke (26) in der Nähe der Fördereinrichtung (12) ein Ende (28A) zur Emission des zumindest einen Strahls und ein Ende (30A) zum Empfang des zumindest einen Strahls umfasst und dass die zwei Enden (28A, 30A) mit Düsen (38) zum Ausstoßen eines Schutzgases für die Enden, insbesondere eines warmen Gases, verbunden sind.
  10. Anlage nach Anspruch 7, dadurch gekennzeichnet, dass die Zählmittel in der Nachbarschaft der Fördereinrichtung eine Ultraschall- oder Mikrowellenschranke umfassen, die mit der Informationsverarbeitungseinheit verbunden ist und quer zur Fördereinrichtung angeordnet ist, wobei der Strahl der Schranke in der Bewegungsebene der Artikel (P) angeordnet ist, um von den sich auf der Fördereinrichtung bewegenden Artikeln (P) unterbrochen zu werden.
  11. Anlage nach Anspruch 4, dadurch gekennzeichnet, dass die Kamera eine Kamera der Infrarot-Art ist und dass die Bildverarbeitungseinheit es gestattet, einen die Temperatur der Artikel auf dem Transportband angebenden Wert zu erhalten.
  12. Anlage nach einem der vorhergehenden Ansprüche, dadurch gekennzeichnet, dass die Bildbearbeitungsmittel (24) Mittel zur Unterscheidung von Bereichen der Fördereinrichtung, die von einem Artikel P bedeckt sind, und von frei gebliebenen Bereichen der Fördereinrichtung auf dem Bild sowie Mittel (24) zur Analyse der unterschiedenen Bereiche auf dem Bild zur Ermittlung eine Wertes umfassen, der die Menge der behandelten Artikel (P) angibt.
  13. Anlage nach Anspruch 12, dadurch gekennzeichnet, dass die Mittel (24) zur Analyse der unterschiedenen Bereiche Mittel (24) zur Erstellung eines ersten Histogramms (52A) über die ganze Ausdehnung des Bildes, das für jede Bildzeile in der Bewegungsrichtung (X-X) der Fördereinrichtung die Zahl der Pixel angibt, die den von einem Artikel (P) bedeckten Bereichen der Fördereinrichtung entsprechen, Mittel (24) zur Erstellung eines zweiten Histogramms (54A) über die ganze Ausdehnung des Bildes, das für jede Bildzeile in der Richtung senkrecht zur Bewegungsrichtung (Y-Y) der Fördereinrichtung die Zahl der Pixel angibt, die den von einem Artikel (P) bedeckten Bereichen der Fördereinrichtung entsprechen, und Mittel (24) zm Vergleich der Pixelwerte des so erstellten ersten und zweiten Histogramms (52A, 54A) mit ersten und zweiten Grenzwerten (S1, S2) zur Ermittlung der Dichte behandelter Artikel (P) umfassen.
EP98909553A 1997-03-03 1998-02-17 Anlage zur behandlung von nahrungsmitteln Expired - Lifetime EP0965021B1 (de)

Applications Claiming Priority (3)

Application Number Priority Date Filing Date Title
FR9702498A FR2760272B1 (fr) 1997-03-03 1997-03-03 Installation de traitement d'articles comportant des moyens de caracterisation des articles
FR9702498 1997-03-03
PCT/FR1998/000302 WO1998039606A1 (fr) 1997-03-03 1998-02-17 Tunnel de congelation

Publications (2)

Publication Number Publication Date
EP0965021A1 EP0965021A1 (de) 1999-12-22
EP0965021B1 true EP0965021B1 (de) 2002-07-17

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Family Applications (1)

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EP98909553A Expired - Lifetime EP0965021B1 (de) 1997-03-03 1998-02-17 Anlage zur behandlung von nahrungsmitteln

Country Status (8)

Country Link
US (1) US6233966B1 (de)
EP (1) EP0965021B1 (de)
AU (1) AU736830B2 (de)
CA (1) CA2282686A1 (de)
DE (1) DE69806579T2 (de)
ES (1) ES2180148T3 (de)
FR (1) FR2760272B1 (de)
WO (1) WO1998039606A1 (de)

Cited By (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN107843565A (zh) * 2016-09-19 2018-03-27 红牛有限责任公司 带有对物体的监控的用于处理物体的方法和装置
US10645959B2 (en) 2016-09-19 2020-05-12 Red Bull Gmbh Method and device for treating and monitoring the quality of objects comprising metal materials

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FR2760272A1 (fr) 1998-09-04
US6233966B1 (en) 2001-05-22
FR2760272B1 (fr) 1999-04-09
EP0965021A1 (de) 1999-12-22
CA2282686A1 (fr) 1998-09-11
ES2180148T3 (es) 2003-02-01
DE69806579D1 (de) 2002-08-22
WO1998039606A1 (fr) 1998-09-11
AU736830B2 (en) 2001-08-02
AU6405198A (en) 1998-09-22
DE69806579T2 (de) 2003-02-20

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