EP2440064A1 - Système et méthode de tri d'articles avant traitement - Google Patents

Système et méthode de tri d'articles avant traitement

Info

Publication number
EP2440064A1
EP2440064A1 EP10727673A EP10727673A EP2440064A1 EP 2440064 A1 EP2440064 A1 EP 2440064A1 EP 10727673 A EP10727673 A EP 10727673A EP 10727673 A EP10727673 A EP 10727673A EP 2440064 A1 EP2440064 A1 EP 2440064A1
Authority
EP
European Patent Office
Prior art keywords
fish
weight
processing
condition factor
item
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.)
Withdrawn
Application number
EP10727673A
Other languages
German (de)
English (en)
Inventor
Jóhann Þórir JÓHANNSSON
Gunnar Tj rvi SIGUR SSON
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.)
Marel Iceland ehf
Original Assignee
Marel Iceland ehf
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 Marel Iceland ehf filed Critical Marel Iceland ehf
Publication of EP2440064A1 publication Critical patent/EP2440064A1/fr
Withdrawn legal-status Critical Current

Links

Classifications

    • A—HUMAN NECESSITIES
    • A22—BUTCHERING; MEAT TREATMENT; PROCESSING POULTRY OR FISH
    • A22C—PROCESSING MEAT, POULTRY, OR FISH
    • A22C25/00—Processing fish ; Curing of fish; Stunning of fish by electric current; Investigating fish by optical means
    • A22C25/04—Sorting fish; Separating ice from fish packed in ice
    • B—PERFORMING OPERATIONS; TRANSPORTING
    • B07—SEPARATING SOLIDS FROM SOLIDS; SORTING
    • B07C—POSTAL SORTING; SORTING INDIVIDUAL ARTICLES, OR BULK MATERIAL FIT TO BE SORTED PIECE-MEAL, e.g. BY PICKING
    • B07C5/00—Sorting according to a characteristic or feature of the articles or material being sorted, e.g. by control effected by devices which detect or measure such characteristic or feature; Sorting by manually actuated devices, e.g. switches
    • B07C5/04—Sorting according to size
    • B—PERFORMING OPERATIONS; TRANSPORTING
    • B07—SEPARATING SOLIDS FROM SOLIDS; SORTING
    • B07C—POSTAL SORTING; SORTING INDIVIDUAL ARTICLES, OR BULK MATERIAL FIT TO BE SORTED PIECE-MEAL, e.g. BY PICKING
    • B07C5/00—Sorting according to a characteristic or feature of the articles or material being sorted, e.g. by control effected by devices which detect or measure such characteristic or feature; Sorting by manually actuated devices, e.g. switches
    • B07C5/16—Sorting according to weight

Definitions

  • the invention relates to a system for processing of food items, in particular fish, wherein the system comprises at least two processing stations for processing of the food items such as for example gutting or filleting machines for processing of fish.
  • the invention relates to a method for processing of food items such as in particular fish.
  • EP 0 331 390 A2 relates to a fish sorting machine, in particular for sorting of fish according to specie of the fish.
  • the sorting machine comprises a video camera and an image processor for determining areas, length and width of the images obtained by the camera. Further, the sorting machine can determine ratios of predetermined ones of the areas, length and/or width in order to determine the specie of the fish and furthermore, on the basis of the determined areas, the weight can be calculated.
  • WO 94/09920 Al discloses a similar fish sorting machine having video camera and processor means for determining not only the shape of the fish, e.g. various aspect ratios, but also the colour and/or light intensity of predetermined areas as an aid for sorting the fish into species.
  • US 4,051 ,952 A discloses an apparatus for detecting a characteristic of a fish by means of a radiant energy source and detector and for effecting a sorting of the supplied fish on the basis of the characteristic in order to facilitate processing of the fish.
  • the characteristic may be the length, the sex or the sidewise orientation of the fish.
  • US 5,181,879 A relates to a method and apparatus for processing of fish such as tuna into sections using a plurality of cutting work stations arranged in a sequential manner. Prior to the processing the fish are graded into groups of substantially similar size and weight.
  • WO 01/72613 Al discloses a method and apparatus for receiving and delivering oblong objects such as fish, which have been graded in advance.
  • the grading can be by weight, length or computer image, but has otherwise not been disclosed.
  • SU 514598 Al relates to fish sorting equipment for ship or shore based factories.
  • the thickness (mass) of the fish is determined as well as the length to mass ratio of the fish.
  • JP 8050052 A relates to a system for measuring length and weight of live fish, i.e. during culturing of the fish, and for sorting the fish accordingly.
  • the fish pass along with a water stream through a chute, where by means of a weighing cell the weight is determined and where by means of a camera the length is determined.
  • Based on these measurements e.g. a comparison of the length and the weight by a control device a sorting is performed by a sorting device, by means of which the fish is directed to different chutes.
  • this prior art is related to the sorting of live fish and is not related to the processing of slaughtered fish.
  • the invention relates to a system for processing of food items, wherein said system comprises at least two processing stations for processing of said food items, wherein the system further comprises
  • the invention relates to a method of processing of food items whereby the food items are delivered to at least two processing stations for processing of food items, whereby - data relating to a length dimension L and weight or a value corresponding to the weight W of a food item is provided by measuring or detecting means, whereby
  • condition factor K is provided for said food item, based on said data relating to the length dimension L and weight or a value corresponding to the weight W of the food item, and whereby
  • condition factor has been used for over a century as a measure for the ,,condition" of fish, specifically the amount of muscle and fat compared to its general size or length.
  • the conventional measure is:
  • the condition factor K when using the condition factor K based on the length dimension L as well as the weight or a value corresponding to the weight W of e.g. the fish, the condition factor will be indicative of not only the size of the fish, but also the general condition of the fish.
  • the individual processing stations e.g. gutting or filleting machines can each be used for processing fish having a K factor (condition factor K) within a predetermined range, where the ranges may differ from automated station to automated station, and whereby for example each station may be adapted for specifically processing fish having a K factor within a certain range.
  • an optimized processing can be laid out for the individual items in dependence on the individual conditions.
  • the processing stations, e.g. the gutting or filleting machines can be optimized in a better manner if fish with similar condition are graded into the machines, thus also resulting in an improved yield and an improved quality of the products.
  • the items e.g. the fish can be selectively delivered to the processing stations in dependence on other parameters as well in addition to the condition factor K.
  • the weight alone, the orientation of e.g. the fish, etc. can be taken in account also when deciding to which processing station a specific food item, e.g. a specific fish should be directed.
  • said food items may be fish and said at least two processing stations for processing of said food items may be for example gutting or filleting machines for processing of fish.
  • said means for providing a condition factor K based on said determined or estimated values may involve use of an equation for determining the factor K, possibly in approximated form.
  • said means for providing a condition factor K based on said determined or estimated values may involve use of a lookup table.
  • said means for providing a condition factor K based on said determined or estimated values may involve use of an artificial neural network and/or a fuzzy logic system.
  • said means for providing a condition factor K based on said determined or estimated values may involve further measuring or detection means such as equipment for providing data regarding material composition, density and/or density variations of the items, which equipment may provide X-ray measurements, nuclear magnetic resonance (NMR or MR) measurements, etc.
  • equipment for providing data regarding material composition, density and/or density variations of the items which equipment may provide X-ray measurements, nuclear magnetic resonance (NMR or MR) measurements, etc.
  • condition factor may be estimated through the above-mentioned other means of measurements. These include:
  • said condition factor K may involve a ratio between a first parameter Pl based on the weight or a value corresponding to the weight W of the item and a second parameter P2 based on the length dimension L of the item, or the condition factor K may involve the reciprocal of said ratio.
  • the condition factor may be a function f(L,W) of the length dimension L as well as the weight or a value corresponding to the weight W of the item, e.g. the fish and according to this embodiment the condition factor K may be calculated as a ratio between a first parameter Pl, which is based on the measured or estimated weight or a value corresponding to the weight W and a second parameter P2, which is based on the measured or estimated length dimension L.
  • the parameters Pl and P2 may be functions of the weight or a value corresponding to the weight W and the length dimension L, respectively.
  • the condition factor K may be provided in an expedient manner and whereby the condition factor K will directly indicate the condition in general, e.g. a high condition factor will indicate a good condition, whereas a low condition factor will indicate a thin fish, possibly in a poor condition, or vice versa, when the reciprocal value is used.
  • the length dimension L of the individual items may preferably be the length of each fish understood as the length from nose to tail. But it will be understood that other length dimensions which are indicative of the length of the fish can be used, for example the length along the upper or lower part of the fish from nose to tail, or for example the length of a characteristic part of the fish can be used if found expedient.
  • said condition factor K may be defined as P1/(P2) N or alternatively the condition factor K may be defined as the reciprocal value of this ratio.
  • condition factor K calculated in this manner may to a higher degree be indicative of the general condition of e.g. a fish.
  • N within this interval may be selected from an infinite number of various values, for example a value selected from the numbers
  • N may be within an interval selected within the interval of 2 ⁇ N ⁇ 4, e.g. with endpoints selected from the range of numbers mentioned above, e.g. 3.2 ⁇ N ⁇ 3.8.
  • the actual value of N and/or the actual size and endpoints of an interval may depend on the actual circumstances and/or the equipment, the type of food items, the species of fish, etc.
  • N 3.
  • N may according to this embodiment be substantially or approximately 3, meaning that the exact value may differ from the value of e.g. exactly 3.0 and that the value of N may be found in a range about the exact value.
  • the size of the range may depend on the actual circumstances and/or the equipment, the type of food items, the species of fish, etc.
  • said first parameter Pl may be equal to the weight or a value corresponding to the weight W of the item and said second parameter P2 may be equal to the length dimension L of the item.
  • K Weight/ Length N
  • one of said at least two processing stations may be a manual processing station, e.g. for manual gutting or filleting of fish.
  • a fish that is abnormal e.g. not within a normal range, such as a short tail fish or an extra thin and long fish
  • a manual processing station e.g. a manual gutting station
  • the processing may be performed in an optimal manner in view of the abnormal condition of the fish.
  • an abnormal fish is directed to an automated processing station, which might not be able to handle the fish or which will process the fish in a manner giving a substandard result.
  • an enhanced yield of the processing is achieved by this embodiment.
  • this embodiment can involve not only a directing of the fish to either a manual processing station or to an automated processing station in dependence on the condition factor K, but also a directing of the fish to a particular, selected automated processing station, when two or more automated processing stations are included, in dependence on the condition factor K for each individual fish as described above.
  • the invention relates to a method and/or a system of processing of food items, in particular fish, whereby the food items are delivered to at least two processing stations for processing of food items, whereby - a condition factor K for a food item is provided utilizing measuring or detecting means, and whereby
  • the method and/or the system is used for processing of salmon.
  • the invention is in particular related to the processing of fish, but it will be apparent that the invention may also find use in connection with a wide variety of items, for example when processing foodstuff items, meat items, etc.
  • the figures are in particular related to the processing of fish, but it will be apparent that the invention may also find use in connection with a wide variety of items, for example when processing foodstuff items, meat items, etc.
  • figs. Ia - Ic show systems according to embodiments of the invention for processing of food items and in particular fish as seen in a schematic view
  • fig. 2 illustrates various length dimensions that may be used for a item such as a fish in connection with the invention
  • fig. 3 illustrates various methods and tools that may be utilized when determining or estimating the condition factor K according to the invention.
  • a system 1 for processing of fish is shown in fig. Ia in a schematic view.
  • a number of processing stations 2 are shown, which processing stations 2 for example may be gutting machines, filleting machines or other types of machines for processing of fish.
  • the fish 10 may be transported to the processing stations 2 by means of conveyors 6.
  • the system 1 may comprise one or more manual processing stations 4, where an operator 8 can perform a manual processing, e.g. gutting, filleting, slicing, etc. of fish 10.
  • the system may comprise only processing stations 2, which comprises machines for performing the operations, e.g. automated processing stations.
  • An example of such a system is shown in fig. Ic.
  • the fish 10 can be supplied to the system by means of a feeding conveyor 12 as shown.
  • measuring or detecting means 20 and 22 may be placed for measuring, detecting and/or estimating various characteristics of the fish 10 passing these means, in particular the weight of each fish and a length dimension of each fish, preferably the length of each fish understood as the length from nose to tail. But it will be understood that other length dimensions which are indicative of the length of the fish can be used, for example the length along the upper part of the fish from nose to tail if found expedient.
  • a measuring or detecting means 20 may be configured for measuring, detecting or estimating the weight W of each fish and a further measuring or detecting means 22 may be configured for measuring, detecting or estimating the length dimension L of each fish passing on the feeding conveyor 12.
  • measuring or detecting principles and means may be used in connection with the above-mentioned measuring or detecting means 20 and 22, which will be apparent to a skilled person within the field.
  • a dynamic weighing machine may be used for measuring the weight W or a vision system, scanning means, etc. may be used for estimating the weight or a value corresponding to the weight W.
  • the length dimension L can be measured, detected or estimated by mechanical measuring means, by means of radiation means, scanning means, a vision system, etc.
  • a vision system, scanning means, or the like can provide data for the length dimension L as well as the weight or a value corresponding to the weight W, e.g. for example by providing a volume measurement of each fish and calculating or estimating the weight W by means of a specific mass factor.
  • further characteristics can be provided by the measuring or detecting means 20 and 22, for example the position • and/or orientation of the fish 10 on the feeding conveyor 12.
  • measuring or detection means 38 such as equipment for providing data regarding material composition, density and/or density variations of the items may be used in addition to the measuring or detecting means 20 and 22.
  • Such further equipment may be equipment providing X-ray measurements, nuclear magnetic resonance (NMR, MR) measurements, etc.
  • NMR nuclear magnetic resonance
  • MR nuclear magnetic resonance
  • the data provided by the measuring or detecting means 20 and 22 can be supplied to for example a control unit 26, which may be configured for supplying control signals to for example diverter means 28 or the like, which are schematically shown in fig. Ia for delivering fish selectively to the processing stations 2 or 4.
  • diverter means 28 or the like may be diverter wings, controllable chutes, manipulators, robotic arrangements or the like, which will be apparent to a skilled person within the field.
  • the supplied fish 10 may differ in length and weight as well as in other regards. Further, it is noted that even though two fish may have the same length, they may differ in weight and vice versa. For example, two fish, for example two salmons may both have a weight of 5 kg, but one is 700mm long whereas the other one is 750mm long, e.g. depending on how fat or thin the fish is.
  • the system 1 is configured for selectively directing the supplied fish to a specific processing station 2 or 4 in dependence on a condition factor K that may be calculated by the control unit 26 and which is based on the length dimension
  • the selective directing of the supplied fish may comprise that
  • a fish is directed either to one unspecified of the automated processing stations 2 or to a manual processing station 4 or it may comprise that
  • the fish is directed to one specified automated processing station 2, for example if the automated processing stations 2 are optimized for handling specific ranges, or to a manual processing station 4.
  • the system 1 may comprise only automated processing stations 2, in which case the selective directing of the supplied fish may comprise that a fish is directed to one specified automated processing station 2 selected among the processing stations 2.
  • a system according to the invention may comprise only two processing stations, i.e. one automated processing station 2 and one manual processing station 4, which is operated in general as explained above.
  • one automated processing station 2 i.e. one automated processing station 2
  • one manual processing station 4 which is operated in general as explained above.
  • the embodiments shown in figs. Ib and Ic may be configured in general along the same lines as explained in connection with the embodiment shown in fig. Ia and utilizing similar equipment and means.
  • the condition factor K is as mentioned above based on the length dimension L as well as the weight W of the fish, whereby the condition factor will be indicative of not only the size of the fish, but also the general condition of the fish.
  • a fish that is abnormal such as a short tail fish or an extra thin and long fish can be directed into a manual processing station 4, e.g. a manual gutting station.
  • the processing stations, e.g. the gutting machines can be optimized in a better manner if fish with similar condition are graded into the machines.
  • condition factor will thus be a function f(L,W) of the length dimension L as well as the weight W of the fish and may be calculated as a ratio between a first parameter
  • condition factor K may be calculated as P 1 divided by (P2) N , where N may be a selected from a range of numbers, but where N preferably is 3.
  • the normal range of the K factor may be from 0.80 to 1.60 and if a manual processing station 4 is included in a system, all fish having a K factor outside of this range can be directed to the manual processing station 4.
  • fish within the range 0.80 to 1.00 may for example be directed to the first processing station
  • fish within the range 1.00 to 1.20 may for example be directed to the second processing station
  • fish within the range 1.20 to 1.40 may for example be directed to the third and the fourth processing station 2 (for example because most of the fish in the particular batch are within this range)
  • fish within the range 1.40 to 1.60 may for example be directed to the fifth processing station 2.
  • ranges may overlap and that further the ranges may be dynamically changed in order to achieve that all processing stations are working continuously, i.e. no stations will be idle, controlled for example by the control unit 26.
  • a fish that due to its K factor should be directed to e.g. the third processing station, can be directed by the control unit 26 to the second processing station (or to the manual processing station 4), if this is idle, in order to optimize the processing speed and the efficient use of the machinery.
  • fish having a lower K factor than 0.80 may be directed to e.g. the first processing station 2 and fish having a higher K factor than 1.60 may be directed to e.g. the fifth processing station 2.
  • Other variations are possible as well, which will be apparent to a skilled person.
  • the processing stations 2 may be followed by further processing stations 32, to which the fish are delivered by further conveyors 36 (shown only for one of the processing stations 2).
  • Such a further processing station 32 may for example be a filleting machine in case the first processing station 2 is a gutting machine.
  • the fish or products herefrom may be transported by a product conveyor 40 to further processing, quality control, packaging, freezing, etc. which will be apparent to a skilled person within the field.
  • various length dimensions L which are indicative of the length of an item such as a fish can be used in connection with the invention.
  • the length Ll from nose to tail of the fish may be used.
  • the length L2 along the lower (or upper) part of the fish may possibly be used, if this is found expedient, for example in view of the measuring or detecting means used in the system.
  • the length L3 from the nose of the fish to the root of the tail may be used. It will be apparent that other length dimension that may not necessarily be measured along a straight line may be used as the characteristic length dimension in connection with the invention.
  • control unit 26 comprising processing means 41, e.g. calculating, estimating, determining means, etc. which provides the condition factor K as an output 46, based on input 42 and 44, corresponding to length and weight parameters, and possibly other input signals 48, for example input from further measuring or detection means 38 such as equipment for providing data regarding material composition, density and/or density variations.
  • processing means 41 e.g. calculating, estimating, determining means, etc. which provides the condition factor K as an output 46, based on input 42 and 44, corresponding to length and weight parameters, and possibly other input signals 48, for example input from further measuring or detection means 38 such as equipment for providing data regarding material composition, density and/or density variations.
  • condition factor K may be provided utilizing a lookup table 54.
  • the condition factor can be determined from table values of weight, length, or other measured properties. If specific measurements are not found in the table, a method of interpolation may be used to determine the condition factor.
  • a neural network 56 i.e. an artificial neural network, where the condition factor K is determined from the measured properties of the fish
  • a fuzzy logic system 58 where the condition factor K is determined from the measured properties of the fish

Abstract

L'invention porte sur un système de traitement d'articles alimentaires et en particulier de poissons (10), comportant au moins deux postes de traitement (2, 4) tels que par exemple des machines d'éviscération ou de filetage de poissons (10). Le système comprend: un moyen de mesure ou de détection (20, 22) déterminant ou estimant la longueur L et le poids P ou une valeur correspondant au poids P de chaque article; un moyen de transfert d'un article, par exemple d'un poisson (10), à un poste de traitement (2, 4), par exemple une machine d'éviscération ou de filetage, en fonction d'un facteur d'état K basé sur lesdites valeurs déterminées ou estimées pour la longueur L, le poids P ou une valeur correspondant au poids P de l'article. Le poste de traitement sélectionné peut être un poste manuel (4).
EP10727673A 2009-06-08 2010-06-08 Système et méthode de tri d'articles avant traitement Withdrawn EP2440064A1 (fr)

Applications Claiming Priority (2)

Application Number Priority Date Filing Date Title
DKPA200900706 2009-06-08
PCT/EP2010/003420 WO2010142413A1 (fr) 2009-06-08 2010-06-08 Système et méthode de tri d'articles avant traitement

Publications (1)

Publication Number Publication Date
EP2440064A1 true EP2440064A1 (fr) 2012-04-18

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Family Applications (1)

Application Number Title Priority Date Filing Date
EP10727673A Withdrawn EP2440064A1 (fr) 2009-06-08 2010-06-08 Système et méthode de tri d'articles avant traitement

Country Status (3)

Country Link
EP (1) EP2440064A1 (fr)
CL (1) CL2011003087A1 (fr)
WO (1) WO2010142413A1 (fr)

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DE202010012571U1 (de) 2010-09-14 2011-12-16 Big Dutchman International Gmbh Fischsortiervorrichtung
NL2007329C2 (en) 2011-09-01 2013-03-04 Marel Stork Poultry Proc Bv Method and installation for processing slaughtered poultry.
DE102014000802A1 (de) 2014-01-22 2015-07-23 ROSOMA GmbH Rostocker Sondermaschinen- und Anlagenbau Verfahren und mobile Vorrichtung zum Sortieren von Fischen und Fischkomponenten nach Gewicht
EP2982448B1 (fr) 2014-08-05 2017-02-15 Nordischer Maschinenbau Rud. Baader GmbH + Co. KG Dispositif de répartition et de transport pour poissons abattus
CN107209160B (zh) 2015-02-05 2020-08-11 莱特拉姆有限责任公司 带有自动重量校准的基于视觉的分级
DE102015002422A1 (de) 2015-02-26 2016-09-01 ROSOMA - GmbH Rostocker Sondermaschinen- und Anlagenbau Verfahren und mobile Vorrichtung zum Sortieren von sehr kleinen empfindlichen Fisch-Setzlingen nach Größe
ES2952522T3 (es) 2015-02-26 2023-11-02 Lambhusasund Ehf Aparato para formar imágenes de, clasificar y agrupar pescados enteros
CN107350172B (zh) * 2017-07-31 2023-09-05 中国农业科学院兰州畜牧与兽药研究所 一种牛肉酸脂类组分监测品控装置

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