EP4330182A1 - Dispositif et procédé d'inspection de contenants remplis et du produit qu'ils contiennent - Google Patents

Dispositif et procédé d'inspection de contenants remplis et du produit qu'ils contiennent

Info

Publication number
EP4330182A1
EP4330182A1 EP22731140.4A EP22731140A EP4330182A1 EP 4330182 A1 EP4330182 A1 EP 4330182A1 EP 22731140 A EP22731140 A EP 22731140A EP 4330182 A1 EP4330182 A1 EP 4330182A1
Authority
EP
European Patent Office
Prior art keywords
containers
inspection device
filled
filling
radiation
Prior art date
Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
Pending
Application number
EP22731140.4A
Other languages
German (de)
English (en)
Inventor
Ines BRADSHAW
Patrick Engelhard
Valentin BECHER
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.)
Krones AG
Original Assignee
Krones 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
Application filed by Krones AG filed Critical Krones AG
Publication of EP4330182A1 publication Critical patent/EP4330182A1/fr
Pending legal-status Critical Current

Links

Classifications

    • B—PERFORMING OPERATIONS; TRANSPORTING
    • B67—OPENING, CLOSING OR CLEANING BOTTLES, JARS OR SIMILAR CONTAINERS; LIQUID HANDLING
    • B67C—CLEANING, FILLING WITH LIQUIDS OR SEMILIQUIDS, OR EMPTYING, OF BOTTLES, JARS, CANS, CASKS, BARRELS, OR SIMILAR CONTAINERS, NOT OTHERWISE PROVIDED FOR; FUNNELS
    • B67C3/00—Bottling liquids or semiliquids; Filling jars or cans with liquids or semiliquids using bottling or like apparatus; Filling casks or barrels with liquids or semiliquids
    • B67C3/02—Bottling liquids or semiliquids; Filling jars or cans with liquids or semiliquids using bottling or like apparatus
    • B67C3/023—Filling multiple liquids in a container
    • B—PERFORMING OPERATIONS; TRANSPORTING
    • B67—OPENING, CLOSING OR CLEANING BOTTLES, JARS OR SIMILAR CONTAINERS; LIQUID HANDLING
    • B67C—CLEANING, FILLING WITH LIQUIDS OR SEMILIQUIDS, OR EMPTYING, OF BOTTLES, JARS, CANS, CASKS, BARRELS, OR SIMILAR CONTAINERS, NOT OTHERWISE PROVIDED FOR; FUNNELS
    • B67C3/00—Bottling liquids or semiliquids; Filling jars or cans with liquids or semiliquids using bottling or like apparatus; Filling casks or barrels with liquids or semiliquids
    • B67C3/007—Applications of control, warning or safety devices in filling machinery
    • G—PHYSICS
    • G01—MEASURING; TESTING
    • G01N—INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
    • G01N21/00—Investigating or analysing materials by the use of optical means, i.e. using sub-millimetre waves, infrared, visible or ultraviolet light
    • G01N21/84—Systems specially adapted for particular applications
    • G01N21/88—Investigating the presence of flaws or contamination
    • G01N21/90—Investigating the presence of flaws or contamination in a container or its contents
    • G01N21/9018—Dirt detection in containers
    • G01N21/9027—Dirt detection in containers in containers after filling
    • G—PHYSICS
    • G01—MEASURING; TESTING
    • G01N—INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
    • G01N33/00—Investigating or analysing materials by specific methods not covered by groups G01N1/00 - G01N31/00
    • G01N33/02—Food
    • G01N33/14—Beverages
    • G—PHYSICS
    • G01—MEASURING; TESTING
    • G01N—INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
    • G01N21/00—Investigating or analysing materials by the use of optical means, i.e. using sub-millimetre waves, infrared, visible or ultraviolet light
    • G01N21/84—Systems specially adapted for particular applications
    • G01N2021/845—Objects on a conveyor
    • G—PHYSICS
    • G01—MEASURING; TESTING
    • G01N—INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
    • G01N21/00—Investigating or analysing materials by the use of optical means, i.e. using sub-millimetre waves, infrared, visible or ultraviolet light
    • G01N21/17—Systems in which incident light is modified in accordance with the properties of the material investigated
    • G01N21/25—Colour; Spectral properties, i.e. comparison of effect of material on the light at two or more different wavelengths or wavelength bands
    • G01N21/31—Investigating relative effect of material at wavelengths characteristic of specific elements or molecules, e.g. atomic absorption spectrometry
    • G—PHYSICS
    • G01—MEASURING; TESTING
    • G01N—INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
    • G01N21/00—Investigating or analysing materials by the use of optical means, i.e. using sub-millimetre waves, infrared, visible or ultraviolet light
    • G01N21/17—Systems in which incident light is modified in accordance with the properties of the material investigated
    • G01N21/25—Colour; Spectral properties, i.e. comparison of effect of material on the light at two or more different wavelengths or wavelength bands
    • G01N21/31—Investigating relative effect of material at wavelengths characteristic of specific elements or molecules, e.g. atomic absorption spectrometry
    • G01N21/39—Investigating relative effect of material at wavelengths characteristic of specific elements or molecules, e.g. atomic absorption spectrometry using tunable lasers
    • G—PHYSICS
    • G01—MEASURING; TESTING
    • G01N—INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
    • G01N2201/00—Features of devices classified in G01N21/00
    • G01N2201/12—Circuits of general importance; Signal processing
    • G01N2201/129—Using chemometrical methods
    • G01N2201/1296—Using chemometrical methods using neural networks

Definitions

  • the present invention relates to a device and a method for inspecting containers filled with a liquid and in particular for inspecting these liquids.
  • Numerous devices and methods for inspecting beverage containers are known from the prior art in the field of the beverage manufacturing industry. A wide variety of parameters are determined, such as foreign body detection, fill level detection and the like.
  • US Pat. No. 1,0,501,302 B2 discloses a method for recognizing an error condition when bottling beverages.
  • a container filling arrangement is known from EP 3 433 204 B1, wherein a measuring sensor system is provided, which is connected to the filling tank or a circuit line, wherein a supply of beverage components is controlled as a function of an output signal from the measuring sensor system.
  • a measuring sensor system is provided, which is connected to the filling tank or a circuit line, wherein a supply of beverage components is controlled as a function of an output signal from the measuring sensor system.
  • a system according to the invention for producing liquid containers and in particular beverage containers has a transport device which transports containers along a predetermined transport path and a filling device which fills the containers and a closing device which closes the filled containers (with a closure) and an inspection device which filled and closed containers inspected, this inspection device being arranged along the transport path after the closing device.
  • the inspection device is suitable and intended to output at least one measured value that is characteristic of a composition of the filling material filled into the containers.
  • this inspection device inspects and, in particular, analyzes the liquid filled into the containers.
  • the transport device transports the containers past the inspection device and/or the inspection device is integrated into the system.
  • the inspection device preferably allows the beverage containers to be manufactured to be inspected during operation of the system.
  • the inspection device is preferably suitable and intended for an online inspection of the containers.
  • the containers described here can in particular be bottles and beverage bottles, in particular plastic bottles or gas bottles.
  • the system can also have a manufacturing device that manufactures the containers, such as a blow molding machine, in particular a stretch blow molding machine.
  • a manufacturing device that manufactures the containers, such as a blow molding machine, in particular a stretch blow molding machine.
  • the containers are preferably at least partially and preferably completely transparent to radiation and in particular to light in the visible and infrared wavelength range.
  • the transport device is particularly preferably suitable and intended for transporting the containers at a transport speed of between 0.05 m/s and 3 m/s.
  • the inspection device is arranged in a straight transport path section of the containers.
  • the transport device it would also be conceivable for the transport device to transport the containers along a transport path in the shape of a circle or a segment of a circle and for the inspection to take place in this area.
  • the system has a number of inspection devices. These can, for example, be arranged one behind the other along the transport path of the containers.
  • a calming section is arranged between the closing device and the inspection device, which causes the liquid within the container to come to rest and/or essentially to rest.
  • the advantage is that in this way filling processes in which mixing takes place in a filling valve or only in the container can be monitored, i. H. after the actual filling process.
  • the filling device is preferably suitable and intended for filling the containers with a drink that is made up of several components (e.g. water and syrups).
  • a continuous 100% online and process monitoring for each individual container is possible in this way, since the quality control takes place directly on the container.
  • the advantage of using spectroscopic methods to monitor food is supplemented by measuring from the outside through the container.
  • the system has a further inspection device which is suitable and intended for inspecting the containers. It is particularly preferred that this further inspection device is arranged in front of the inspection device described here in the transport direction of the containers. However, an arrangement after the inspection device described here, which inspects the filling material, would also be possible.
  • this further inspection device can check the container itself, for example whether the container is defective, the presence of foreign bodies in the container or also the fill level of the liquid and the like.
  • the inspection device is particularly preferably set up and intended to carry out the inspection from the outside through the container.
  • the filling device has a large number of filling elements which fill the containers.
  • These filling elements can be arranged, for example, on a rotatable carrier, by means of which the containers are also transported.
  • the transport device described above can in turn be made up of many sub-devices such as transport stars.
  • These filling elements preferably each have individually controllable filling valves.
  • the filling device can have a first reservoir for storing a first component of a beverage and a second reservoir for storing a second component of a beverage, with these reservoirs each being flow-connectable to the filling elements.
  • the inspection device is suitable and intended for inspecting the containers during their transport and in particular during their movement. In this way, online measurement of the contents of the container is possible.
  • the above measurement is indicative of a property of the liquid selected from a group of properties including the presence of predetermined components or substances in the liquid, a concentration of a substance in the liquid, a concentration of components of the liquid , the presence of gaseous phases in the liquid and the like.
  • the inspection device can output qualitative values, such as values that are characteristic of the presence of a specific substance, or also quantitative values, such as information about a concentration. Which of these values are to be output can also depend on the user.
  • the user can, for example, be interested in determining whether the components of the liquid to be filled are present in the correct concentration ratio. Furthermore, the user may be interested in determining whether certain foreign bodies and/or foreign substances (which can, for example, originate from previous uses of the same container) are present in the liquid.
  • the inspection device is preferably suitable and intended for determining the detection of trace substances in the liquids in a range of up to pg per liter and below.
  • the inspection device is preferably able, for example, to avoid aroma carryover or to check the beverage that has already been filled in the sealed bottle.
  • an end product check on beverages in filled and closed bottles (i.e. not directly on the liquid) and in particular a positive/negative check of the filled beverage should be made possible.
  • the quality of the beverage is preferably checked by the invention with regard to dilution or entrainment of other liquids.
  • the bottles are usually used which are infested with the drink itself as a measuring cell.
  • First evaluations and assessments of the spectral results were made via visual assessments.
  • the system preferably has an evaluation device and in particular a software-based evaluation device.
  • the evaluation device preferably evaluates the measurement results using artificial intelligence.
  • the determination of at least one measured value is preferably based on and particularly preferably the determination of a large number (or all) measured values of (in particular each) liquid to be detected and/or analyzed and/or in particular the determination of data is based on or from the measured values generated by the inspection device derived data on (computer-implemented) methods of machine learning, preferably on at least one (artificial) neural network-based method of machine learning.
  • a neural network can be designed, for example, as a deep neural network (DNN) and/or a so-called convolutional neural network (CNN) and/or a recurrent neural network (RNN). be.
  • Classes for classifying the analysis results are preferably specified.
  • the classes are preferably stored on an external storage device (described in particular below) and can be updated by retrieving these stored classes.
  • the classes can preferably be compared with at least one reference spectrum.
  • At least one linked parameter and preferably to determine the multiplicity of linked parameters (in particular by evaluating a spectral analysis), (at least) one data set relating to a liquid comprising the sensor data (or data derived therefrom) determined (by means of the sensor device) is preferred ) and/or the determined defect size(s) and/or the parameters (selected and/or set at the time of treatment) of the particular container filling Filling device or a filling element of this filling device processed by means of an artificial neural network.
  • a multiplicity of data sets (described in the above paragraph) relating to a multiplicity of detected liquids are processed by means of the artificial neural network.
  • the data records relating to a specific liquid in particular a liquid that deviates from a target state, can each relate to data records relating to liquids of a specific filling device.
  • the large number of data sets relating to a specific liquid preferably relates to at least two different filling devices and preferably to a large number of different (reference) filling devices and/or to specific containers filled with reference liquids.
  • the large number of data sets is preferably stored on the (external) storage device, in particular the (external) server.
  • the data sets, in particular the measured values (or data derived therefrom) and/or the defect size(s) and/or the parameters (selected and/or set at the time of treatment) that fill the observed container are preferably fed to the artificial neural network as input variables.
  • the artificial neural network preferably maps the input variables to output variables as a function of a parameterizable processing chain, with at least one linked parameter and preferably a large number of linked parameters of a (specified) filling device being selected as the output variable.
  • the artificial neural network is preferably embodied as a deep artificial neural network (Deep Neural Network, DNN), in which the parameterizable processing chain has a plurality of processing layers, and/or as a so-called convolutional neural network (CNN) (engl. convolution network). and/or a recurrent neural network (RNN) is formed.
  • DNN Deep Artificial Network
  • CNN convolutional neural network
  • RNN recurrent neural network
  • the artificial neural network is preferably trained using predetermined training data, the parameterizable processing chain being parameterized by the training.
  • a neural network trained in this way is preferably used.
  • the training preferably takes place by means of supervised learning. However, it would also be possible to train the artificial neural network using unsupervised learning, reinforcement learning or stochastic learning.
  • the measured value to be output can be selected from a group of measured values. This means that the user can choose what to investigate and, for example, whether to conduct quantitative or qualitative investigations.
  • the inspection device has a radiation device, which directs radiation onto the containers, and a radiation detector device, which detects radiation passing through the containers.
  • the radiation device irradiates the container with a longitudinal direction of the container at an angle that differs from 0°.
  • the radiation device preferably radiates through a container wall into the container and the radiation exits again on the opposite side of the container.
  • the radiation device particularly preferably directs the radiation onto a base body of the container or onto a shoulder area of the container.
  • Measurement is thus particularly preferably carried out using a transmitted light method and the containers themselves serve as measuring cells, as mentioned above.
  • a beam path of the beams passing through the container is preferably selected in such a way that there is little or no hindrance from a label on the container. There is also preferably no additional influence from further changes in the bottle geometry.
  • the system has a spectrometer and/or a monochromator and/or the system has a radiation device with a changeable emission spectrum, in particular with a emission spectrum that can be changed in length. In this way, a beam analysis can be performed.
  • a beam analysis is particularly preferably carried out in a wavelength range between 300 nm and 3000 nm.
  • the radiation device is a laser device, in particular a laser device whose emission can be tuned, such as a dye laser or an OPO (Optical Parametric Oscillator).
  • a laser device in particular a laser device whose emission can be tuned, such as a dye laser or an OPO (Optical Parametric Oscillator).
  • the system has an evaluation device which evaluates the measured values output by the inspection device. It is possible for this evaluation device to compare the measured values with reference values, for example in order to search for specific spectral or spectroscopic properties or to determine them. As mentioned above, artificial intelligence can be used here.
  • the system has an ejection device which is arranged downstream of the inspection device in the transport direction of the containers and which is suitable and intended for this, taking into account a result output by the inspection device or a measured value (or a large number of measured values ) exclude or eject containers from the transport path. For example, containers that have been identified as faulty due to their content can be excluded from further processing.
  • the system has at least one further inspection device which is suitable and intended for inspecting the filled containers.
  • a check can be made for defectiveness of the container, for example for a plastic distribution of the plastic container, for foreign bodies inside the container or also for the filling level and the like.
  • the system has an assignment device which is suitable and intended for assigning one inspected container to another Assign treatment organ such as a filling element, which has affected this container.
  • assigning one inspected container to another Assign treatment organ such as a filling element, which has affected this container.
  • the present invention is also directed to a method for freezing liquid containers and in particular beverage containers, with a transport device transporting containers along a predetermined transport path and a filling device filling the containers, and a closing device closing the filled containers and an inspection device inspecting the filled and closed containers.
  • the inspection device is arranged along the transport path after the closing device.
  • the inspection device outputs at least one measured value that is characteristic of a composition of the filling material filled into the containers.
  • the filling device is preferably suitable and intended for filling different or multiple components of a beverage into each container.
  • the inspection device inspects the containers while they are being moved and/or transported.
  • a radiation device directs radiation onto the containers and a detector device detects radiation passing through the containers.
  • the inspection device particularly preferably carries out a spectral analysis of the radiation passing through the containers.
  • the measured values recorded by the inspection device are compared with reference values.
  • FIG. 1 shows a rough schematic representation of a system according to the invention.
  • 1 shows a schematic representation of a system according to the invention for producing beverage containers.
  • plastic preforms 20 are fed to a shaping device 12 such as a blow molding machine and shaped into containers 10 .
  • These containers are filled using a filling device 4 and sealed using a closing device 5 .
  • An optional inspection device 16 can be connected to this closing device, which, for example, examines certain criteria, for example whether the fill level corresponds to specified criteria or whether there are foreign bodies in the container.
  • This inspection device is preferably followed by a transport section 18, which is used to bring the medium in the container to rest.
  • Overall, 2 designates the transport device which transports the containers along a transport path P.
  • the reference number 6 designates the inspection device, which is used to ensure that the medium in the container, i. H. especially to analyze the drink.
  • This has a radiation device 62 and a radiation detector device 64, with the containers being transported between these devices 62, 64.
  • the reference number 66 designates an evaluation device which analyzes the radiation recorded by the detector device 64 .
  • the reference number 8 designates an ejection device which is suitable and intended for ejecting containers and in particular defective containers from the transport path in response to signals from the inspection devices 16 and/or 6 .

Landscapes

  • Chemical & Material Sciences (AREA)
  • Health & Medical Sciences (AREA)
  • Life Sciences & Earth Sciences (AREA)
  • General Health & Medical Sciences (AREA)
  • Analytical Chemistry (AREA)
  • Biochemistry (AREA)
  • Physics & Mathematics (AREA)
  • General Physics & Mathematics (AREA)
  • Immunology (AREA)
  • Pathology (AREA)
  • Engineering & Computer Science (AREA)
  • Food Science & Technology (AREA)
  • Medicinal Chemistry (AREA)
  • Investigating Materials By The Use Of Optical Means Adapted For Particular Applications (AREA)

Abstract

L'invention concerne une installation (1) pour la production de contenants remplis d'un liquide, et en particulier de contenants de boisson (10), comprenant au moins un appareil de transport (2) qui transporte des contenants (10) le long d'une voie de transport prédéterminée (P), un appareil de remplissage (4) qui remplit les contenants (10), un appareil de fermeture (5) qui ferme les contenants remplis, et un appareil d'inspection (6) qui inspecte les contenants fermés et remplis, ledit appareil d'inspection (6) étant disposé en aval de l'appareil de fermeture (5) le long de la voie de transport, l'invention étant caractérisée en ce que l'appareil d'inspection (6) est approprié et conçu pour émettre au moins une valeur de mesure qui est caractéristique d'une composition du produit versé dans les contenants.
EP22731140.4A 2021-06-17 2022-05-24 Dispositif et procédé d'inspection de contenants remplis et du produit qu'ils contiennent Pending EP4330182A1 (fr)

Applications Claiming Priority (2)

Application Number Priority Date Filing Date Title
DE102021115729.3A DE102021115729A1 (de) 2021-06-17 2021-06-17 Vorrichtung und Verfahren zum Inspizieren von befüllten Behältnissen und deren Füllgut
PCT/EP2022/064131 WO2022263132A1 (fr) 2021-06-17 2022-05-24 Dispositif et procédé d'inspection de contenants remplis et du produit qu'ils contiennent

Publications (1)

Publication Number Publication Date
EP4330182A1 true EP4330182A1 (fr) 2024-03-06

Family

ID=82100553

Family Applications (1)

Application Number Title Priority Date Filing Date
EP22731140.4A Pending EP4330182A1 (fr) 2021-06-17 2022-05-24 Dispositif et procédé d'inspection de contenants remplis et du produit qu'ils contiennent

Country Status (4)

Country Link
EP (1) EP4330182A1 (fr)
CN (1) CN117529445A (fr)
DE (1) DE102021115729A1 (fr)
WO (1) WO2022263132A1 (fr)

Families Citing this family (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
DE102022134743A1 (de) * 2022-12-23 2024-07-04 Krones Aktiengesellschaft Verfahren und Vorrichtung zur Überprüfung von mit Flüssigkeit befüllten Behältnissen

Family Cites Families (7)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
GB0213704D0 (en) * 2002-06-14 2002-07-24 Gei Proc & Packaging Machinery Container contents monitoring assembly
DE10257238B9 (de) * 2002-12-04 2009-06-04 Optotransmitter-Umweltschutz-Technologie E.V. Verfahren und Vorrichtung zur Charakterisierung von Verunreinigungen in Flüssigkeiten
EP1628024A3 (fr) 2004-08-21 2009-07-29 Khs Ag Système de graissage de longue durée du palier d'un arbre
BR112014000484B1 (pt) 2011-08-08 2020-06-30 Discma Ag. método de desgaseificação de um recipiente preenchido com bebida carbonatada
PT106279A (pt) * 2012-04-26 2013-10-28 Univ Aveiro Sensor e método para medida de turvação
ITUB201568811U1 (it) * 2015-09-15 2017-03-15 Gruppo Bertolaso Spa Impianto di imbottigliamento di contenitori con liquidi
DE102016105524A1 (de) 2016-03-24 2017-09-28 Khs Gmbh Behälterfüllanordnung

Also Published As

Publication number Publication date
CN117529445A (zh) 2024-02-06
DE102021115729A1 (de) 2022-12-22
WO2022263132A1 (fr) 2022-12-22

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