KR20190090900A - Apparatus for egg selection using non-invasive spectrophotometric inspector - Google Patents
Apparatus for egg selection using non-invasive spectrophotometric inspector Download PDFInfo
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- 235000013601 eggs Nutrition 0.000 claims abstract description 102
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- 239000008280 blood Substances 0.000 claims abstract description 17
- 238000004364 calculation method Methods 0.000 claims abstract description 5
- 210000000969 egg white Anatomy 0.000 claims abstract description 4
- 235000014103 egg white Nutrition 0.000 claims abstract description 4
- 238000005259 measurement Methods 0.000 claims description 11
- 210000000601 blood cell Anatomy 0.000 claims 2
- 238000000034 method Methods 0.000 abstract description 20
- 238000012545 processing Methods 0.000 abstract description 7
- 238000007689 inspection Methods 0.000 abstract 1
- 238000009304 pastoral farming Methods 0.000 description 6
- 238000012216 screening Methods 0.000 description 6
- 238000011156 evaluation Methods 0.000 description 5
- 238000012546 transfer Methods 0.000 description 5
- 210000002969 egg yolk Anatomy 0.000 description 3
- 235000016709 nutrition Nutrition 0.000 description 3
- 230000035764 nutrition Effects 0.000 description 3
- 230000000704 physical effect Effects 0.000 description 3
- 238000002834 transmittance Methods 0.000 description 3
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- 102000002322 Egg Proteins Human genes 0.000 description 2
- 108010000912 Egg Proteins Proteins 0.000 description 2
- 102000001554 Hemoglobins Human genes 0.000 description 2
- 108010054147 Hemoglobins Proteins 0.000 description 2
- 238000004458 analytical method Methods 0.000 description 2
- HVYWMOMLDIMFJA-DPAQBDIFSA-N cholesterol Chemical compound C1C=C2C[C@@H](O)CC[C@]2(C)[C@@H]2[C@@H]1[C@@H]1CC[C@H]([C@H](C)CCCC(C)C)[C@@]1(C)CC2 HVYWMOMLDIMFJA-DPAQBDIFSA-N 0.000 description 2
- 230000001066 destructive effect Effects 0.000 description 2
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- 102000009027 Albumins Human genes 0.000 description 1
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- 229910052782 aluminium Inorganic materials 0.000 description 1
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- 235000012000 cholesterol Nutrition 0.000 description 1
- 230000007423 decrease Effects 0.000 description 1
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- 238000011161 development Methods 0.000 description 1
- 210000003278 egg shell Anatomy 0.000 description 1
- 230000008020 evaporation Effects 0.000 description 1
- 238000001704 evaporation Methods 0.000 description 1
- 238000002189 fluorescence spectrum Methods 0.000 description 1
- 230000005484 gravity Effects 0.000 description 1
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- 150000002367 halogens Chemical class 0.000 description 1
- 230000001678 irradiating effect Effects 0.000 description 1
- 239000000463 material Substances 0.000 description 1
- 230000016087 ovulation Effects 0.000 description 1
- 230000008447 perception Effects 0.000 description 1
- 235000004252 protein component Nutrition 0.000 description 1
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- 102000004169 proteins and genes Human genes 0.000 description 1
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- 238000010187 selection method Methods 0.000 description 1
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- A01K—ANIMAL HUSBANDRY; CARE OF BIRDS, FISHES, INSECTS; FISHING; REARING OR BREEDING ANIMALS, NOT OTHERWISE PROVIDED FOR; NEW BREEDS OF ANIMALS
- A01K43/00—Testing, sorting or cleaning eggs ; Conveying devices ; Pick-up devices
- A01K43/04—Grading eggs
- A01K43/10—Grading and stamping
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- 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
- G01N21/35—Investigating relative effect of material at wavelengths characteristic of specific elements or molecules, e.g. atomic absorption spectrometry using infrared light
- G01N21/359—Investigating relative effect of material at wavelengths characteristic of specific elements or molecules, e.g. atomic absorption spectrometry using infrared light using near infrared light
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Abstract
Description
본 발명은 계란 선별장비에 관한 것으로, 보다 상세하게는 계란을 깨트리지 않고 비침습적으로 계란에 광을 조사하여 혈란 및 비신선란을 선별하는 광학기반 비침습적 신선란 선별장비에 관한 것이다. The present invention relates to an egg sorting apparatus, and more particularly, to an optical-based non-invasive fresh egg sorting apparatus for sorting blood and non-fresh eggs by irradiating the eggs non-invasively without breaking the eggs.
계란은 값이 싸며 고단백 영양을 손쉽게 섭취할 수 있다는 점에서 이미 오래전부터 대중적으로 섭취해왔으며, 최근 노른자에 있는 콜레스테롤에 대한 인식의 변화에도 불구하고 지속적으로 많은 소비 성장세를 보이고 있다. Eggs have been eaten in the past for a long time because of their low cost and easy access to high protein nutrition, and despite the recent changes in the perception of cholesterol in yolks, the consumption continues to grow.
이러한 공급과 수요에도 불구하고 선진국의 냉장 유통과정과 달리 국내에서는 거의 상온에서 유통이 이루어지기 때문에 신선도와 관련된 안전성 논란이 지속적으로 제기되어 왔는데, 이는 저장과 유통과정에서 계란의 호흡 및 수분 증발로 인해 기실의 크기가 증가하고 주로 알부민으로 구성된 난백(흰자)의 단백질 성분이 변성을 일으켜 신선도가 저하되는 문제가 있기 때문이다. Despite such supply and demand, the safety issue related to freshness has been raised continuously because distribution is performed at room temperature unlike domestic cold storage process, which is caused by the respiration of eggs and evaporation of water during storage and distribution. This is because there is a problem that the size of the chamber is increased and the protein component of the egg white (white), which is mainly composed of albumin, causes degeneration and decreases the freshness.
일반적으로 계란의 신선도는 HU(Haugh Unit)로 나타내며, 이는 침습적 평가법을 통하여 평가된다. 즉, 난백의 높이와 난중의 무게를 측정하는 방법이 사용되므로 전체 시료를 대상으로 신선도를 측정하는 것은 불가능하며 샘플링 기법을 적용한다. In general, the freshness of the eggs is expressed in Haugh Units (HU), which are evaluated through invasive evaluation. That is, since the method of measuring the height of egg white and the weight of egg weight is used, it is impossible to measure the freshness of the whole sample and the sampling technique is applied.
따라서, 국내에서 하루 1,000 만개 이상의 계산이 생산되어 유통되고 있으나 계란의 신선도를 측정하는 것은 0.01% 미만에 불과하므로 사실상 전체 시료에 대한 신선도를 추정할 수 있을 뿐 모든 시료에 대한 신선도를 보장하는 데에는 한계가 있다는 문제점이 있다. Therefore, more than 10 million calculations are produced and distributed in Korea daily, but measuring the freshness of eggs is less than 0.01%, so it is practical to estimate the freshness of the entire sample, but there is a limit to guaranteeing the freshness of all samples. There is a problem that there is.
이에 대한 대안으로서, 광학적 기반으로 신선도를 측정하는 비침습적 기법은 비파괴 평가방법으로서 전수조사가 가능하여 기존의 침습적 방법의 단점을 보완하고 현장에서 신속하게 신선한 계란의 선별이 가능하다는 장점이 있기는 하다. As an alternative, the non-invasive technique for measuring freshness on an optical basis is a non-destructive evaluation method that can be fully investigated to compensate for the disadvantages of the existing invasive method and has the advantage of allowing the quick selection of fresh eggs in the field. .
그러나, 종래 비침습적 평가방법 또한 계란의 무게나 비중 측정을 통한 기실의 크기를 간접적으로 측정하는 데에 불과하며, 특히 신선한 계란임에도 불구하고 소비자에게 혐오감을 줄 수 있는 혈반을 가려낼 수는 없다는 심각한 문제점이 있ㅇ었다. However, the conventional non-invasive evaluation method is also to indirectly measure the size of the chamber by measuring the weight or specific gravity of the egg, and in particular, even though it is a fresh egg, it is difficult to screen blood clots that may disgust consumers. There was a problem.
따라서, 본 발명은 광학적 기반의 혈반 및 신선도를 측정하는 비침습적 평가방법을 이용하여 기존의 침습적 평가방법의 단점을 보완하고, 현장에서 신속하게 신선도 및 혈반을 평가할 수 있는 광학기반 비침습적 혈반 및 신선란 선별장비를 제공하는 데 있다. Therefore, the present invention compensates for the disadvantages of the conventional invasive evaluation method by using the non-invasive evaluation method for measuring optically based blood spots and freshness, and optically based non-invasive blood spots and fresh eggs that can rapidly evaluate freshness and blood spots in the field. To provide sorting equipment.
또한, 본 발명은, 계란을 깨뜨리지 않고 실시간으로 컨베이어벨트 이송부를 지나는 동안 계란 내부의 물리적 정보를 광학적 방법으로 획득하고 분석을 시행하며, 마지막 이송부에서 혈란과 비신선란을 선별하기 위한 것으로, 혈란과 비신선란의 광학적 데이터를 확보하고 이를 분석하는 광학측정기술과 이를 기반으로 하드웨어를 구동기켜 선별을 진행하는 제어기술을 포함하는 광학기반 비침습적 혈반 및 신선란 선별장비를 제공하는 데 있다. In addition, the present invention is to acquire and analyze the physical information inside the egg by the optical method while passing through the conveyor belt transfer unit in real time without breaking the egg, and to screen the blood and non-fresh eggs in the last transfer unit, It is to provide optical-based non-invasive blood plate and fresh egg screening equipment including optical measurement technology to acquire and analyze optical data of fresh egg and control technology based on driving the hardware.
본 발명의 일실시예에 따른 광학기반 비침습적 신선란 선별장비는, 비파괴 측정법으로 계란의 신선도 변화에 따른 근적외선의 투과, 반사 및 흡수 스펙트럼의 측정 및 분석을 통해 계란의 신선도를 평가하고 선별한다. The optical-based non-invasive fresh egg screening apparatus according to an embodiment of the present invention, the non-destructive measuring method evaluates and selects the freshness of the egg through the measurement and analysis of the transmission, reflection and absorption spectrum of the near infrared according to the change in freshness of the egg.
여기서, 농장에서 수집된 계란을 컨베이어벨트 이송장치를 통해 순서정렬 후 개별 이송 통로를 이동하여 농장의 마크를 인쇄하고, 무게에 따른 분류를 통해 자동으로 포장되는 흐름으로 진행되며, 컨베이어 벨트 이송 중 계란 내부의 정보를 광학적 측정방법으로 획득하고 이를 실시간으로 분석하고 결과를 전송하여 마지막 처리부에서 계란을 선별하도록 한다. Here, the eggs collected on the farm are arranged in order through the conveyor belt conveying device, and then the individual transport passages are moved to print the marks of the farm, and they are automatically flowed through the sorting according to the weight. The internal information is acquired by optical measuring method, analyzed in real time, and the result is transmitted to select the eggs in the final processing unit.
즉, 노른자에 존재하는 혈반으로부터 형광학적 특성과 흰자의 점도변화에 의한 광투과도 변화값을 실시간으로 전송받아 분석을 수행하고 분석결과를 이용하여 계산을 선별하는 것이다. In other words, the change in the light transmittance caused by the fluorescence characteristics and the change in the viscosity of the white from the blood spots present in the yolk is performed in real time, and the calculation is selected using the analysis result.
구체적으로, 계란 내부의 물리적 변화를 광조사후 발광되는 광자(Photon)를 분광법에 기반하여 측정한 후 측정된 값을 기준으로 계란 내부의 물성을 파악하고 계란의 상태를 결정하여 최종적으로 선별이 가능하도록 한다. Specifically, the physical change inside the egg is measured based on the spectrophotometric photon that is emitted after light irradiation, based on the measured value to determine the properties of the inside of the egg and determine the state of the egg so that the final selection do.
혈란의 경우 640 nm 파장대역에서 측정값(Intensity Vaue, A.U)의 범위가 1,000 이하로 한정하며, 비신선란의 경우는 620 nm 파장대역에서 투과도(Count)가 2,000 이상 3,500 이하의 범위로 한정한다. In the case of blood eggs, the range of measured values (Intensity Vaue, A.U) is limited to 1,000 or less in the 640 nm wavelength band, and in the case of non-fresh eggs, the transmittance (Count) is limited to the range of 2,000 or more and 3,500 or less in the 620 nm wavelength band.
계란의 껍질의 존재로 인해 해당값의 절대값이 혈액자체를 측정한 값 대비 낮아지는 현상이 존재하므로, 실험실 조건(계란이 고정된 상태로 측정한 것)과 현장에서 컨베이어 벨트 상에서 계란이 이송될 때(평균 180 ea/sec) 측정되는 광학측정 데이터 간의 상관도를 확보하여, 현장에서 측정되는 값을 보정하여 선별조건을 확보하는 단계를 포함한다. Due to the presence of egg shells, the absolute value of the value is lower than that of the blood itself. Therefore, the egg may be transferred on the conveyor belt in laboratory conditions (measured with the egg fixed) and in the field. And obtaining a correlation between the optical measurement data measured at a time (average of 180 ea / sec) and correcting the value measured at the site.
본 발명에 따른 광학기반 비침습적 혈반 및 신선란 선별장비는 컨베이어 벨트에서 계란이 이송되는 과정중에 해당값들을 측정하며, 측정된 값을 기반으로 선별하는 과정으로, 실시간으로 측정된 값을 전송받아, 선별값을 할당시켜 계란을 선별하는 것으로 실시간 데이터 전송 및 이송을 위한 구동소프트웨어의 자체 개발 단계를 포함한다. Optical-based non-invasive blood plate and fresh egg screening equipment according to the present invention measures the corresponding values during the process of conveying the eggs from the conveyor belt, the screening process based on the measured values, receiving the measured values in real time, screening Selecting eggs by assigning values involves the self-developing phase of the drive software for real-time data transfer and transfer.
본 발명에 따른 비침습적 광학측정 기반의 계란 선별장비는, 컨베이어 벨트에서 실시간으로 이동되는 계란을 대상으로 선별을 실시하는 과정으로, 기존의 처리과정에 영향을 미치지 않고 개발된 모듈을 부가적으로 설치하는 것만으로 계란 서별의 유용성을 확보할 수 있다. The non-invasive optical measurement-based egg sorting equipment according to the present invention is a process for sorting eggs moving in real time on a conveyor belt, and additionally installs the developed module without affecting the existing processing. Just to be able to secure the usefulness of eggs.
또한, 개발된 통합 제어프로그램을 이용하여 선별기의 용량에 따라 선별속도 및 처리 용량에 따라 적절한 현태로 다양한 규모의 작업에의 적용이 가능하다. In addition, by using the developed integrated control program, it is possible to apply to the work of various scales according to the sorting speed and processing capacity according to the sorting capacity.
또한, 본 발명에 따른 비침습적 광학측정 방법은 산란시기에 따른 계란의 겉보기 등급 및 운송과정에서 발생하는 계란의 물리적 변화에 따라 소프트웨어의 cut-off 값을 조절하는 간단한 과정을 통해 다양한 형태 및 물리적 변화를 동반하는 계란에의 적용이 가능하다. In addition, the non-invasive optical measurement method according to the present invention is a variety of forms and physical changes through a simple process of adjusting the cut-off value of the software according to the egg's apparent grade and the egg's physical change in the process of laying eggs It is possible to apply to the accompanying eggs.
각 방목농장에서 생산되는 계란은 산란계의 영양상태, 온도, 습도, 조도와 같은 노출환경에 따른 다양한 물리적 성질을 가지는 계란에 적용이 가능하다. Eggs produced in each grazing farm can be applied to eggs having various physical properties according to the exposure environment such as nutrition status, temperature, humidity, and roughness of laying hens.
현재 적용되는 계란은 갈색란으로 52-70g의 계란을 상품화하는 경우를 대상으로 개발되었으나, 본 발명에서 목적하는 방목농장 이외의 다양한 환경을 가지는 방목농장 및 케이지 농장에서 생산되는 계란에도 광범위하게 적용이 가능하다. Currently applied egg is a brown egg was developed for the commercialization of 52-70g of eggs, but the present invention can be widely applied to eggs produced in grazing farms and cage farms having various environments other than grazing farms. Do.
아울러, 선별된 계란만을 선택적으로 시장에 내보내게 되므로, 기존의 비신선란과 혈란을 포함하는 상품에 대한 불만족으로 해소할 수 있어 시장규모이 확대 및 소비자 만족도를 높일수 있다. In addition, since only the selected eggs are selectively exported to the market, the dissatisfaction with the existing non-fresh egg and the egg-containing products can be eliminated, thereby increasing the market size and increasing customer satisfaction.
또한, 제어값의 조정을 통하여 계란의 선별처리 속도의 조절이 가능하여 다양한 규모의 계란처리 업계에의 적용이 가능한 유연성을 보유한다. In addition, it is possible to control the sorting speed of the eggs by adjusting the control value has the flexibility that can be applied to the egg processing industry of various scales.
도 1은, 본 발명의 일실시예에 따른 광학측정 장비의 사시도,
도 2는, 본 발명의 일실시예에 따른 계란선별 방법의 흐름도,
도 3은, 본 발명의 일실시예에 따른 혈란 선별을 위한 소프트웨어 코드예,
도 4는, 본 발명의 일실시예에 다른 비신선란 선별을 위한 소프르웨어 코드의 예이다. 1 is a perspective view of an optical measuring device according to an embodiment of the present invention,
2 is a flow chart of the egg selection method according to an embodiment of the present invention,
3 is an example of software code for screening eggs according to an embodiment of the present invention,
4 is an example of software code for non-fresh egg selection according to an embodiment of the present invention.
이하, 첨부된 도면을 참조하여 본 발명의 실시예를 상세히 설명한다. Hereinafter, embodiments of the present invention will be described in detail with reference to the accompanying drawings.
도 1 및 도 2를 참조하면, 본 발명의 일시예에 따른 광학기반 비침습적 혈반 및 신선란 선별장비는, 컨베이어 벨트의 이송부의 상부에 위치한 광학측정 장비를 계란이 통화하면 계란 내부의 물성이 광학적으로 측정되며, 측정된 값이 서버로 전송되고, 서버 내부에서 연산을 수행하여 할당값을 결정하고, 결정된 할당값을 센서링크에 전송하는 단계를 포함한다. 1 and 2, the optical-based non-invasive blood plate and fresh egg sorting equipment according to the date of the present invention, when the egg calls the optical measurement equipment located on the conveying part of the conveyor belt optically the physical properties of the egg The measured value is transmitted to the server, and a calculation is performed in the server to determine an allocation value and transmit the determined allocation value to the sensor link.
센서링크로 전송된 할당값은 컨베이어벨트 이동부에 부착된탭을 구동시켜 계란을 밀어내어 혈란부 또는 비신선부로 이동시킨다. The assigned value sent to the sensor link drives the tab attached to the conveyor belt moving part to push out the egg and move it to the blood egg part or the non-fresh part.
도 3 및 도 4를 참조하면, 계란으로부터 측정된 광학데이터에 있어서, 비신선란은 투과도 측정후 방출되는 광자의 수가 2,000 ~ 3,500 이하의 범위를 할당값 2로 전송하는 것을 포함한다. 3 and 4, in the optical data measured from the egg, the non-fresh line includes transmitting a range of 2,000-3,500 or less in the number of photons emitted after the transmittance measurement to the assigned
한편, 혈란의 경우, 형광스펙트럼 측정 후 전송되는 Intensity (A.U) 값이 1,000 이하인 범위를 할당값 1로 전송한다. On the other hand, in the case of the blood ovulation, the range of Intensity (A.U) value transmitted after the fluorescence spectrum measurement is 1,000 or less is transmitted to the assigned
센서링크는 할당값을 예를 들어, TCP/IP 프로토콜을 이용하여 구동부인 컨베이어벨트에 부착된 탭을 움직이도록 명령을 전달하여 각각의 할당값에 따른 계란을 분리한다. The sensor link separates the eggs according to each allocation value by sending a command to move the tap attached to the conveyor belt, which is a driving unit, using the TCP / IP protocol.
측정과정 중 외부조명 및 태양광에 의한 외부간섭 조건을 최소화 하기 위해 암실조건(Dark Room)을 구성하였음. 이에 따라Anodizing처리된 Aluminum소재를 이용하여 395.6 mm × 5.6 mm 디멘젼을 가지는 구조물을 컨베이어 벨트 이송부 위에 설치하여 암실조건을 확보하였음. 암실조건부의 상판에는 3개의 광원(150Watt Halogen Lamp)이 115.4 mm 간격으로 위치하도록 설치하였음. 컨베어벨트 이송부의 하부에는Stainless 재질의 거치대를 설치하여 133.0 (W) mm × 80.0 (H) mm × 32.3 mm (D)의 센서를 69.3 mm간격으로 설치하여 계란 이송시 광측정이 가능하도록 설비하였다. 비신선란 및 혈란 선별 정확도 값에 대한 신뢰도를 확보하기위해, 기존 상용화 선별기에서 혈란으로 선별된 계란 100개를 대상으로, 본 연구개발 장비를 이용하여 640 nm 파장대역에서 재선별을 실시함. 다음단계로, 선별된 계란을 깨트린 후 노른자에 존재하는 혈반을 확인하여 개발장비의 정확도를 확인하는 방법으로 혈란선별이 가능함을 확인하였음. 비신선란의 경우 20ºC에서 7일간 보관한 계란 100개를 대상으로 측정을 실시하여 620 nm파장대역에서 측정을 실시하여 비신선란으로 선별 완료된 계란을 깨트린 후 흰자의 점도변화를 확인 후 개발 장비의 정확도를 확인하는 방법으로 비신선란 선별이 가능하다는 사실을 확인하였다. In order to minimize the external interference condition caused by external lighting and sunlight during the measurement process, Dark Room was configured. Therefore, using anodized aluminum material, a structure having a dimension of 395.6 mm × 5.6 mm was installed on the conveyor belt conveying part to secure dark room conditions. Three light sources (150 Watt Halogen Lamp) were installed at 115.4 mm intervals on the upper plate of dark room condition part. In the lower part of the conveyor belt conveyer, a stainless steel holder was installed and 133.0 (W) mm × 80.0 (H) mm × 32.3 mm (D) sensors were installed at intervals of 69.3 mm to allow optical measurement during egg transfer. In order to ensure the reliability of non-fresh egg and hemoglobin sorting accuracy values, 100 eggs selected as hemoglobin in the existing commercialized sorter were reselected at 640 nm wavelength band using this research and development equipment. In the next step, it was confirmed that the eggs could be selected by breaking the selected eggs and then checking the blood spots in the yolk to confirm the accuracy of the development equipment. In the case of unfresh eggs, 100 eggs stored at 20ºC for 7 days were measured and measured at 620 nm wavelength band. As a method of confirming the non-fresh egg selection was confirmed that.
이에, 본 발명에 따른 침습적 광학측정 방법은, 개발된 통합 제어프로그램을 이용하여 선별기의 용량에 따라 선별속도 및 처리 용량에 따라 적절한 현태로 다양한 규모의 작업에의 적용이 가능하다. Accordingly, the invasive optical measuring method according to the present invention can be applied to various scales of work using the developed integrated control program, depending on the sorting speed and processing capacity, depending on the capacity of the sorting machine.
또한, 본 발명에 따른 비침습적 광학측정 방법은 산란시기에 따른 계란의 겉보기 등급 및 운송과정에서 발생하는 계란의 물리적 변화에 따라 소프트웨어의 cut-off 값을 조절하는 간단한 과정을 통해 다양한 형태 및 물리적 변화를 동반하는 계란에의 적용이 가능하다. In addition, the non-invasive optical measurement method according to the present invention is a variety of forms and physical changes through a simple process of adjusting the cut-off value of the software according to the egg's apparent grade and the egg's physical change in the process of laying eggs It is possible to apply to the accompanying eggs.
각 방목농장에서 생산되는 계란은 산란계의 영양상태, 온도, 습도, 조도와 같은 노출환경에 따른 다양한 물리적 성질을 가지는 계란에 적용이 가능하다. Eggs produced in each grazing farm can be applied to eggs having various physical properties according to the exposure environment such as nutrition status, temperature, humidity, and roughness of laying hens.
현재 적용되는 계란은 갈색란으로 52-70g의 계란을 상품화하는 경우를 대상으로 개발되었으나, 본 발명에서 목적하는 방목농장 이외의 다양한 환경을 가지는 방목농장 및 케이지 농장에서 생산되는 계란에도 광범위하게 적용이 가능하다. Currently applied egg is a brown egg was developed for the commercialization of 52-70g of eggs, but the present invention can be widely applied to eggs produced in grazing farms and cage farms having various environments other than grazing farms. Do.
아울러, 선별된 계란만을 선택적으로 시장에 내보내게 되므로, 기존의 비신선란과 혈란을 포함하는 상품에 대한 불만족으로 해소할 수 있어 시장규모이 확대 및 소비자 만족도를 높일수 있다. In addition, since only the selected eggs are selectively exported to the market, the dissatisfaction with the existing non-fresh egg and the egg-containing products can be eliminated, thereby increasing the market size and increasing customer satisfaction.
또한, 제어값의 조정을 통하여 계란의 선별처리 속도의 조절이 가능하여 다양한 규모의 계란처리 업계에의 적용이 가능한 유연성을 보유한다. In addition, it is possible to control the sorting speed of the eggs by adjusting the control value has the flexibility that can be applied to the egg processing industry of various scales.
1 : 비침습적 광학측정 기반의 계란 선별장비1: Non-invasive optical measurement based egg sorting equipment
Claims (1)
계란을 대상으로 내부에 존재하는 혈반의 존재에 대한 광학데이터 확보를 위하여 640 nm 파장영역대에서 혈란을 선별하는 혈란센서와;
상기 기준 광학데이터를 전송받고 연산을 수행하며, 할당값을 결정하여 존송하는 서버와;
상기 전송받은 할당값을 전달받아 탭을 구동시켜 비신선란과 혈란의 선별을 수행하는 제어부;를 포함하는 비침습적 광학측정 기반의 계란 선별장비.A freshness sensor that selects unfresh eggs in the 620 nm wavelength range to secure optical data on changes in the properties of egg whites for 1-7 days;
A blood cell sensor that selects blood cells in the wavelength region of 640 nm to secure optical data on the presence of blood spots present inside eggs;
A server receiving the reference optical data, performing a calculation, and determining and assigning an allocation value;
Non-invasive optical measurement-based egg sorting equipment comprising a; control unit for performing the selection of non-fresh eggs and blood eggs by driving the tap received from the received allocation value.
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Citations (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| JP2004184113A (en) * | 2002-11-29 | 2004-07-02 | Naberu:Kk | Egg candler |
| KR20060055743A (en) * | 2004-11-19 | 2006-05-24 | 대한민국 (관리부서 농촌진흥청) | Exclusive module device into near-infrared spectrometer for non-destructively egg freshness measuring system |
| KR100730781B1 (en) | 2005-08-23 | 2007-06-20 | (주)아이맥스 | Apparatus for sorting eggs |
| KR101066608B1 (en) * | 2009-02-11 | 2011-09-22 | 한이진 | Near infrared ray spectroscopic apparatus for egg blood spot |
| KR101400649B1 (en) * | 2013-06-28 | 2014-05-29 | 주식회사 에그텍 | Blooded egg detection method using vis/nir transmitted light |
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Patent Citations (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| JP2004184113A (en) * | 2002-11-29 | 2004-07-02 | Naberu:Kk | Egg candler |
| KR20060055743A (en) * | 2004-11-19 | 2006-05-24 | 대한민국 (관리부서 농촌진흥청) | Exclusive module device into near-infrared spectrometer for non-destructively egg freshness measuring system |
| KR100730781B1 (en) | 2005-08-23 | 2007-06-20 | (주)아이맥스 | Apparatus for sorting eggs |
| KR101066608B1 (en) * | 2009-02-11 | 2011-09-22 | 한이진 | Near infrared ray spectroscopic apparatus for egg blood spot |
| KR101400649B1 (en) * | 2013-06-28 | 2014-05-29 | 주식회사 에그텍 | Blooded egg detection method using vis/nir transmitted light |
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