CN203337550U - Multi-spectral online rapid nondestructive testing device for mutton quality - Google Patents
Multi-spectral online rapid nondestructive testing device for mutton quality Download PDFInfo
- Publication number
- CN203337550U CN203337550U CN2013204340751U CN201320434075U CN203337550U CN 203337550 U CN203337550 U CN 203337550U CN 2013204340751 U CN2013204340751 U CN 2013204340751U CN 201320434075 U CN201320434075 U CN 201320434075U CN 203337550 U CN203337550 U CN 203337550U
- Authority
- CN
- China
- Prior art keywords
- quality
- mutton
- multispectral
- chain plate
- spectral
- 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
Links
- 238000009659 non-destructive testing Methods 0.000 title abstract 5
- 229910052736 halogen Inorganic materials 0.000 claims abstract description 16
- 150000002367 halogens Chemical class 0.000 claims abstract description 16
- 238000000034 method Methods 0.000 abstract description 9
- 238000012360 testing method Methods 0.000 abstract description 3
- 239000007795 chemical reaction product Substances 0.000 abstract description 2
- 238000003908 quality control method Methods 0.000 abstract description 2
- 238000005286 illumination Methods 0.000 abstract 4
- 238000012372 quality testing Methods 0.000 abstract 1
- 238000001228 spectrum Methods 0.000 description 15
- 235000013372 meat Nutrition 0.000 description 13
- 238000005516 engineering process Methods 0.000 description 9
- 238000001514 detection method Methods 0.000 description 8
- 238000009740 moulding (composite fabrication) Methods 0.000 description 8
- 230000002550 fecal effect Effects 0.000 description 6
- 238000011109 contamination Methods 0.000 description 5
- 238000003384 imaging method Methods 0.000 description 4
- 230000001580 bacterial effect Effects 0.000 description 3
- 235000013305 food Nutrition 0.000 description 3
- 241000894006 Bacteria Species 0.000 description 2
- 235000015278 beef Nutrition 0.000 description 2
- 230000004927 fusion Effects 0.000 description 2
- 230000000813 microbial effect Effects 0.000 description 2
- 239000000047 product Substances 0.000 description 2
- 239000002689 soil Substances 0.000 description 2
- 230000003595 spectral effect Effects 0.000 description 2
- 229910001220 stainless steel Inorganic materials 0.000 description 2
- 239000010935 stainless steel Substances 0.000 description 2
- TVEXGJYMHHTVKP-UHFFFAOYSA-N 6-oxabicyclo[3.2.1]oct-3-en-7-one Chemical compound C1C2C(=O)OC1C=CC2 TVEXGJYMHHTVKP-UHFFFAOYSA-N 0.000 description 1
- 230000005540 biological transmission Effects 0.000 description 1
- 230000007797 corrosion Effects 0.000 description 1
- 238000005260 corrosion Methods 0.000 description 1
- 230000007547 defect Effects 0.000 description 1
- 238000011161 development Methods 0.000 description 1
- 238000011156 evaluation Methods 0.000 description 1
- 230000005281 excited state Effects 0.000 description 1
- 238000001914 filtration Methods 0.000 description 1
- 238000002073 fluorescence micrograph Methods 0.000 description 1
- 230000010365 information processing Effects 0.000 description 1
- 235000013622 meat product Nutrition 0.000 description 1
- 244000005700 microbiome Species 0.000 description 1
- 238000012545 processing Methods 0.000 description 1
- 238000011160 research Methods 0.000 description 1
- 238000010183 spectrum analysis Methods 0.000 description 1
- 229920001169 thermoplastic Polymers 0.000 description 1
- 239000004416 thermosoftening plastic Substances 0.000 description 1
Images
Classifications
-
- 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
- G01N21/94—Investigating contamination, e.g. dust
-
- 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
- G01N21/62—Systems in which the material investigated is excited whereby it emits light or causes a change in wavelength of the incident light
- G01N21/63—Systems in which the material investigated is excited whereby it emits light or causes a change in wavelength of the incident light optically excited
- G01N21/64—Fluorescence; Phosphorescence
- G01N21/6486—Measuring fluorescence of biological material, e.g. DNA, RNA, cells
-
- 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
- G01N33/12—Meat; Fish
Landscapes
- Health & Medical Sciences (AREA)
- Life Sciences & Earth Sciences (AREA)
- Chemical & Material Sciences (AREA)
- Immunology (AREA)
- Analytical Chemistry (AREA)
- Biochemistry (AREA)
- General Health & Medical Sciences (AREA)
- General Physics & Mathematics (AREA)
- Physics & Mathematics (AREA)
- Pathology (AREA)
- Engineering & Computer Science (AREA)
- Food Science & Technology (AREA)
- Medicinal Chemistry (AREA)
- Biomedical Technology (AREA)
- Molecular Biology (AREA)
- Nuclear Medicine, Radiotherapy & Molecular Imaging (AREA)
- Investigating Or Analysing Materials By Optical Means (AREA)
Abstract
The utility model relates to a multi-spectral online rapid nondestructive testing device for the mutton quality. The multi-spectral online rapid nondestructive testing device is characterized by comprising an illumination box, a single-chip microcomputer and a control machine, wherein the illumination box is installed above a conveying chain plate, and the single-chip microcomputer and the control machine are located on the same side of the conveying chain plate. A multi-spectral camera is installed in the center of the top of the illumination box, halogen lamps are installed at the four corners of the top of the illumination box, the multi-spectral camera is connected with the control machine, ultraviolet light sources are installed on the two sides of the multi-spectral camera, stop plates are fixed on the conveying chain plate, sensors are fixed on the two sides of the conveying chain plate, and the ultraviolet light sources, the halogen lamps, the sensors and the control machine are controlled by the single-chip microcomputer in a connected mode. The multi-spectral online rapid nondestructive testing device for the mutton quality is high in testing speed and high in accuracy rate, achieves online rapid nondestructive testing of the comprehensive safe quality indexes of mutton, provides a high-efficiency, high-accuracy and high-reliability solution for non-contact rapid testing of various kinds of fresh mutton and can be used for making process quality control, end product quality testing and the like of the mutton.
Description
Technical field
The utility model relates to meat products detection technique field, particularly relates to the device that a kind of multispectral online quick nondestructive that detects the indexs such as mutton surface fecal pollution, bacterial contamination, freshness and tender degree based on light spectrum image-forming detects quality of mutton.
Background technology
China recent years mutton consumption figure rapid development, the quality of mutton safety problem is also more and more concerned, and mutton freshness, tender degree and the pollution of surperficial fecal bacteria etc. are the important indicators that affects quality of mutton safety.
Lack detection means and frequently existing safety problem fast and effectively based on current China's meat field, the light spectrum image-forming technology more and more receives people's concern, become new and high technology and the important research direction in nondestructive measuring method of the farm product field, the application in the quality of agricultural product safety detection is more and more extensive.High light spectrum image-forming technology commonly used organically combines traditional two-dimensional imaging technology and spectral technique and forms, and has merged visible ray and near infrared equiwavelength zone multiple information, can synchronously identify external sort and the inside quality of sample.Due to containing much information of obtaining in high light spectrum image-forming technical information gatherer process, sweep velocity is slow, and message processing time is long, is not suitable for the online application that detects.And the characteristic wavelength that multi-optical spectrum imaging technology utilizes high spectrum to extract, after rejecting bulk redundancy information, carry out again follow-up spectrum picture information processing, can disposablely obtain the image information under the characteristic wavelength be closely related with quality characteristic, significantly elevator system detects analysis speed, has met online detection requirements.For example utilize multi-optical spectrum imaging technology to detect the hardness of apple, utilize many high light spectrum image-formings technology evaluation beef marbling, thereby the quality of beef is carried out to classification.But, fresh meat detection field at home at present, multi-optical spectrum imaging technology is applied to the fast detecting of the single index of fresh meat more, the fresh meat that seldom is applied in the indexs such as quick nondestructive comprehensive detection fresh meat surface fecal pollution, bacterial contamination, freshness and tender degree is cut apart scene, does not also detect accordingly the device of fresh meat quality based on the multispectral online quick nondestructive of light spectrum image-forming.
Summary of the invention
The purpose of this utility model is to overcome above-mentioned defect of the prior art, provides a kind of multispectral online quick nondestructive that detects the overall targets such as mutton surface fecal pollution, bacterial contamination, freshness and tender degree based on light spectrum image-forming to detect the device of quality of mutton.
For realizing that the technical scheme that above-mentioned utility model purpose is taked is:
A kind of multispectral online quick nondestructive detects the device of quality of mutton, it is characterized in that this device comprises the lighting box that is arranged on the transporting chain plate top and single-chip microcomputer and the controller that is positioned at transporting chain plate one side, center, described lighting box top is equipped with multispectral camera, Halogen lamp LED is installed at Si Ge angle, top, described multispectral camera is connected with controller, both sides are equipped with ultraviolet source, be fixed with baffle plate on described transporting chain plate, both sides are fixed with sensor, and described ultraviolet source, Halogen lamp LED, sensor and controller are connected control by single-chip microcomputer.
The sensor is comprised of light emitting diode and reception triode.
Above-mentioned height of baffle plate is 1cm.
Multispectral online quick nondestructive of the present utility model detects the device of quality of mutton, utilize machine vision technique and spectral analysis technique, to obtaining image information and spectral information, utilize Data fusion technique, by analysis software, fusion treatment is carried out in the outside of mutton and inside quality information, obtain mutton fat grain distribution, color and formalness etc. and the tender degree of meat, characteristic quantity and surperficial ight soil and the relevant result of microbial contamination that freshness is relevant, the online quick nondestructive of having realized the mutton comprehensive safety index of quality detects, this device detection speed is fast, accuracy rate is high, for the contactless fast detecting of all kinds of fresh muttons provides high-level efficiency, the solution of high precision and high reliability, can be used for the process quality control of mutton, end product quality detection etc.
The accompanying drawing explanation
Fig. 1 is the structural representation sketch that the multispectral online quick nondestructive of the utility model detects the device of quality of mutton.
Embodiment
Multispectral online quick nondestructive of the present utility model detects the device of quality of mutton, comprises the lighting box 6 that is arranged on transporting chain plate 7 tops and the single-chip microcomputer 9 and controller 8 that is positioned at transporting chain plate 7 one sides.Lighting box 6 centers, top are equipped with spectrum camera 2, and Halogen lamp LED 4 is installed at Si Ge angle, top, and both sides are equipped with ultraviolet source 3.Above-mentioned multispectral camera 2 is connected with controller 8.Transporting chain plate 7 is stainless steel or food stage rubber strip, be fixed with the baffle plate 1 that 1cm is high on transporting chain plate 7, cold fresh meat is positioned between two baffle plates 1, transporting chain plate 7 is fixed in stainless steel chain or thermoplastic chain, its kind of drive is the chain transmission, can make cold aquatic foods cut meat between image acquisition and graded executing mechanism and form the fixed position relation, be convenient to follow-up classification and carry out.Transporting chain plate 7 both sides are fixed with sensor 5.Ultraviolet source 3, Halogen lamp LED 4, sensor 5 and controller 8 are connected control by single-chip microcomputer 9.
Cut whole good cold aquatic foods and cut meat by between the baffle plate 1 that manually is placed on transporting chain plate 7, enter the multi-optical spectrum image collecting district of lighting box 6 belows with transporting chain plate 7.Sensor 5 is comprised of light emitting diode and reception triode, be fixed in transporting chain plate 7 both sides, light emitting transistor is normally conducting state, while having cold fresh meat to pass through on transporting chain plate 7, light emitting diode light is blocked, the triode cut-off, and the multispectral camera 2 that triggers lighting box 6 tops during high level step-down level carries out image acquisition, image acquisition triggers ultraviolet source 3 simultaneously, Halogen lamp LED 4 is lighted successively, and trigger pip is controlled by single-chip microcomputer 9.The wavelength band of multispectral camera is 380nm-900nm, can gather 8 image informations under characteristic wavelength simultaneously, and characteristic wavelength is determined in pre-stage test by high light spectrum image-forming, two bar shaped ultraviolet sources 3 that install multispectral camera 2 both sides, wavelength coverage is 200-400nm, can pollute to wait to the meat surface fecal microorganism and be excited generation fluorescence, 4 high-power Halogen lamp LEDs 4 that install at light box 6 Si Ge angles, top, wavelength coverage is 400nm-1700nm, lighting by single-chip microcomputer 9 and sensor 5 signal controlling of ultraviolet source 3 and Halogen lamp LED 4, ultraviolet source 3 and Halogen lamp LED 4 are lighted successively, during light source igniting, multispectral camera 2 gathers takes pictures, collect respectively the diffuse reflection image that visible fluorescence image under lower 8 different wave lengths of fluorescence light source excited state and Halogen lamp LED 4 irradiate under lower 8 different wave lengths, input single-chip microcomputer 9, there is related software to use and strengthen sharpening image, mask, filtering, corrosion is expanded, interconnectedness is analyzed and the wave band ratio, figure differs scheduling algorithm and processes, carry out feature identification convergence analysis, the fluorescence light source hypograph can obtain the result relevant to mutton surface ight soil and microbial contamination, diffuse reflection image under halogen light source can obtain mutton fat grain distribution, color and formalness etc. and the tender degree of meat, characteristic quantity that freshness is relevant, with the relatively rear Output rusults of the default definite value of programmed algorithm, obtain corresponding classification standard, thereby can accurately identify the comprehensive safety quality information such as mutton freshness, tender degree and the pollution of surperficial fecal bacteria.
Claims (7)
1. a multispectral online quick nondestructive detects the device of quality of mutton, it is characterized in that this device comprises transporting chain plate (7), is arranged on the lighting box (6) of transporting chain plate (7) top and is positioned at single-chip microcomputer (9) and the controller (8) of transporting chain plate (7) one sides; The top of described lighting box (6) is equipped with multispectral camera (2), Halogen lamp LED (4) and ultraviolet source (3); Be fixed with baffle plate (1) on described transporting chain plate (7), both sides are equipped with photoelectric trigger sensor (5); The reception signal of described photoelectric trigger sensor (5) is transferred to multispectral camera (2) and single-chip microcomputer (9) successively, single-chip microcomputer (9) connects controls lighting of ultraviolet source (3) and Halogen lamp LED (4), and multispectral camera (2) image data is transferred to controller (8).
2. detect the device of quality of mutton according to multispectral online quick nondestructive claimed in claim 1, it is characterized in that above-mentioned multispectral camera (2) is arranged on the center, top of lighting box (6), Halogen lamp LED (4) is four, divide and be located at Si Ge angle, lighting box (6) top, ultraviolet source (3) is two, divides the both sides, front and back that are located at lighting box (6).
3. detect the device of quality of mutton according to the described multispectral online quick nondestructive of claim 1 or 2, it is characterized in that above-mentioned multispectral camera (2) is 8 wave bands, wavelength coverage 380nm-900nm.
4. detect the device of quality of mutton according to the described multispectral online quick nondestructive of claim 1 or 2, it is characterized in that above-mentioned Halogen lamp LED (4) wavelength coverage is 400nm-1700nm.
5. detect the device of quality of mutton according to the described multispectral online quick nondestructive of claim 1 or 2, it is characterized in that above-mentioned ultraviolet source (3) wavelength coverage is 200-400nm.
6. detect the device of quality of mutton according to the described multispectral online quick nondestructive of claim 1 or 2, it is characterized in that above-mentioned photoelectric trigger sensor (5) by light emitting diode and receive triode forming.
7. detect the device of quality of mutton according to multispectral online quick nondestructive claimed in claim 1, it is characterized in that above-mentioned baffle plate (1) is highly 1cm.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN2013204340751U CN203337550U (en) | 2013-07-22 | 2013-07-22 | Multi-spectral online rapid nondestructive testing device for mutton quality |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN2013204340751U CN203337550U (en) | 2013-07-22 | 2013-07-22 | Multi-spectral online rapid nondestructive testing device for mutton quality |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| CN203337550U true CN203337550U (en) | 2013-12-11 |
Family
ID=49706219
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN2013204340751U Expired - Lifetime CN203337550U (en) | 2013-07-22 | 2013-07-22 | Multi-spectral online rapid nondestructive testing device for mutton quality |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN203337550U (en) |
Cited By (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN104089904A (en) * | 2014-03-31 | 2014-10-08 | 浙江工商大学 | Detection device and method for spliced mutton |
| CN104089893A (en) * | 2014-03-31 | 2014-10-08 | 浙江工商大学 | Beef quality detection system and method |
| CN110208223A (en) * | 2018-02-28 | 2019-09-06 | 中石化石油工程技术服务有限公司 | Geological logging debris Analysis of Transmission device |
-
2013
- 2013-07-22 CN CN2013204340751U patent/CN203337550U/en not_active Expired - Lifetime
Cited By (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN104089904A (en) * | 2014-03-31 | 2014-10-08 | 浙江工商大学 | Detection device and method for spliced mutton |
| CN104089893A (en) * | 2014-03-31 | 2014-10-08 | 浙江工商大学 | Beef quality detection system and method |
| CN110208223A (en) * | 2018-02-28 | 2019-09-06 | 中石化石油工程技术服务有限公司 | Geological logging debris Analysis of Transmission device |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN102507459B (en) | Method and system for quick lossless evaluation on freshness of fresh beef | |
| US11830179B2 (en) | Food inspection assisting system, food inspection assisting apparatus and computer program | |
| CN106872465B (en) | Poultry fertilized egg detection and screening device based on machine vision | |
| CN103398994B (en) | A kind of food-borne pathogens detection system based on EO-1 hyperion and method | |
| CN102445456B (en) | Device and method for nondestructively detecting egg quality based on DSP (Dynamic Signal Processing) machine vision | |
| CN103344567B (en) | Fresh meat the cannot-harm-detection device | |
| CN110443262B (en) | Computer vision-based rapid nondestructive testing method and device for freshness of fish body | |
| CN105717051A (en) | System capable of rapidly detecting fruit and vegetable freshness and refrigerator | |
| CN104174597A (en) | On-line rapid non-destructive detection and sorting device for slightly damaged fresh dates | |
| CN102519962B (en) | Pork quality grade non-destructive detection system | |
| CN101021478A (en) | Laser inducing fluorescent high spectral image detecting method and device for fruit quality | |
| CN203011857U (en) | Real-time online detection test bench for potato images | |
| CN103257109A (en) | Detection system and method for total number of bacteria in livestock meat | |
| CN204287031U (en) | A kind of online the cannot-harm-detection device of fish freshness based on high light spectrum image-forming technology | |
| CN204989009U (en) | Online quick nondestructive test production line of mutton safety quality based on map fusion technique | |
| CN203337550U (en) | Multi-spectral online rapid nondestructive testing device for mutton quality | |
| CN108318494B (en) | The red online vision detection and classification devices and methods therefor for proposing fruit powder | |
| CN105548124A (en) | Method and device for detecting citrus canker | |
| CN106370667A (en) | Visual detection apparatus and method for quality of corn kernel | |
| CN104089925B (en) | A kind of target area extracting method detecting peeled shrimp quality based on high light spectrum image-forming | |
| CN103760166A (en) | Flue-cured tobacco appearance information collecting device | |
| CN210071686U (en) | Fruit grading plant based on orthogonal binocular machine vision | |
| CN103630498A (en) | Method for detecting pesticide residue on surface of navel orange based on hyperspectral imaging technology | |
| CN102269710A (en) | Rapid lossless prediction device of fresh port validity based on multispectral imaging | |
| Li et al. | Estimation of pig weight by machine vision: A review |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| C14 | Grant of patent or utility model | ||
| GR01 | Patent grant | ||
| CX01 | Expiry of patent term | ||
| CX01 | Expiry of patent term |
Granted publication date: 20131211 |