CN104646315A - Intelligent agricultural product sorting machine with aflatoxin detection function - Google Patents
Intelligent agricultural product sorting machine with aflatoxin detection function Download PDFInfo
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- CN104646315A CN104646315A CN201510092630.0A CN201510092630A CN104646315A CN 104646315 A CN104646315 A CN 104646315A CN 201510092630 A CN201510092630 A CN 201510092630A CN 104646315 A CN104646315 A CN 104646315A
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Abstract
The invention discloses an intelligent agricultural product sorting machine with an aflatoxin detection function. The device takes an aflatoxin sorting detection unit as a core, and an ultraviolet and visible light source, a dual-wavelength filter set, a double-mirror reflecting system and a linear-array CCD camera and the like are arranged in the sorting detection unit. Materials are conveyed to the sorting detection unit by a crawler conveyor, the linear-array CCD camera acquires visible light images of the materials and two ultraviolet fluorescence images shot by filters, and the on-line detection of aflatoxin contaminated grains is realized by using a computer detection algorithm. The wavelengths of double filters used in the invention are determined by using a hyperspectral imaging method, and different filters can be replaced for detecting different agricultural products, particularly, the filters with the wavelengths of 437 and 537nm can be used for detecting corns, the filters with the wavelengths of 420 and 450nm can be used for detecting peanuts, and the filters with the wavelengths of 400 and 420nm can be used for detecting hot peppers. The device can be widely used in the field of processing trade of agricultural products, and the on-line aflatoxin inspection efficiency can be improved.
Description
Technical field
The present invention relates to a kind of food processing technology field, particularly a kind of Intelligent agricultural product separator with aflatoxins measuring ability.
Background technology
Aflatoxins is a kind of chemical substance with strong carcinogenesis, easily grows on cereal crops, and wherein the aflatoxins content of corn, agricultural product, capsicum and goods thereof is the highest and very easily infect, and various countries have all carried out strict restriction on aflatoxins content.But, because the aflatoxins caused in plantation storing process pollutes, have a strong impact on the normal exit of agricultural products in China and goods thereof, caused larger economic loss.
Existing agricultural product color selector adopts ordinary light source to irradiate, according to the difference of surface of agricultural products optical characteristics, by going mouldy wherein, damaged and heterochromatic particle automatic sorting out.But for the agricultural product that part aflatoxins pollutes, be difficult to realize sorting by surface light signal.
For detection and the sorting of agricultural product aflatoxins, Chinese invention patent CN 103234945 A discloses a kind of aflatoxins and detects and sorting unit, adopt chute device that agricultural product seed is delivered to aflatoxins checkout gear, use ultraviolet light source shines surface of agricultural products, be subject to the aflatoxins generation yellow-green fluorescence that ultraviolet excites, the fluorescence of material is divided into R, G, B tri-tunnel by the Amici prism of both sides, and is converted to the signal of telecommunication by TDI ccd image sensor, be merged into coloured image.Agricultural product aflatoxins infection conditions is judged by R, G, B value analyzing coloured image.But the precision of a secondary Color Image Analysis that RGB tri-look is formed is lower, and chute-type conveying device is in course of conveying, and mass transport is unstable, easily produces and beats, and causes the waste of the unintelligible and raw material of IMAQ.
U.S. patent Nos US 20120061586A1 discloses another kind of aflatoxins detection method and device, adopt the conveyer belt rotated that iblet to be measured is sent into sensing chamber, the Ultraviolet radiation utilizing centre wavelength to be 365nm is with the corn of aflatoxins, its greenish yellow fluorescent produced is by liquid crystal tunable filter and light spectrum image-forming camera, wavelength is carried out light spectrum image-forming at the fluorescence of 451nm to 500nm wave band, the photoluminescence peak of this wave band and photoluminescence peak displacement are analyzed, when aflatoxins pollution level increases, photoluminescence peak reduces, and wavelength is elongated.But liquid crystal tunable filter price is too high, cause the cost intensive of this device, be promoted utilization in vast peasant household and small-sized being in the streets difficult to.
Summary of the invention
Technical problem to be solved by this invention is to overcome a kind of the deficiencies in the prior art, provides that a kind of discrimination is high, cost is low and the Intelligent agricultural product separator with aflatoxins measuring ability that efficiency is high.
The present invention solves the problems of the technologies described above by the following technical programs: a kind of Intelligent agricultural product separator with aflatoxins measuring ability, it is characterized in that, this device includes sorting detecting unit and Caterpillar conveyer structure, in described sorting sensing chamber casing, ultraviolet source is installed, the filter plate group of specific wavelength and line-scan digital camera, described sorting checkout gear is arranged on Caterpillar conveyer structure end, Caterpillar conveyer structure upper end is provided with feeding mechanism, sorting sensing chamber channel exit is provided with snifting valve, material collection case is installed below this snifting valve.
Described sorting detecting unit is closed sensing chamber's casing, the passage passed through for tested material is offered in the middle part of this casing, these passage both sides install two cover checkout gears respectively, often overlap checkout gear and comprise light-source system, filtering system, mirror image system and imaging processing system.
The LED uviol lamp and one that described light-source system is 365nm by row's centre wavelength is arranged all band high-brightness LED lamp pearl and is formed, alternatively, LED uviol lamp pearl U.S. Lu Yang LUYOR-3404 desk model ultraviolet lamp lamp pearl used, high-brightness LED lamp pearl can select U.S. CREE large-power LED light bead.
Described filtering system is made up of three sections of filter plates.First segment and Section three are equipped with the filter plate of two specific wavelengths, second section is provided with full-transparency type filter plate, and two wavelength differences selected by different detection materials are 400nm and 420nm for capsicum, being 437nm and 537nm for corn, is 420nm and 450nm for peanut.
Described mirror image system comprises the completely reflecting mirror composition that two panels is arranged on the material back side, material becomes common visual picture by full-transparency type filter plate under the illumination of all band LED, the back side of material is reflected by two speculums under ultraviolet LED lamp pearl is irradiated, and becomes two width UV fluorescence image by the customization filter plate of two different wave lengths.
Described imaging processing system is made up of line-scan digital camera and computer processing system, three width images enter computer disposal through line-scan digital camera shooting, computer judges grade and the aflatoxins pollution level thereof of material according to the Processing Algorithm designed, and signal is issued the magnetic valve controlling air gun, a kind of alternative ultraviolet-cameras is Canadian DALSA line-scan digital camera.
Described common visual picture, by after computer acquisition, processes its RGB image, the seed of unconventional dead color can be removed according to material shade.
Described judgement aflatoxins Processing Algorithm is divided into two steps, the first step is to model training, first the material seed composition training set of various three kinds of different pollution levels is gathered, be divided into uncontaminated 0-20ppb, slight pollution 20-100ppb according to pollution level, serious pollution is greater than 100ppb, calculate two wavelength normalization fluorescence index NDFI=(b1-b2 of each pixel)/(b1+b2), wherein b1 and b2 is respectively the reflectivity of two specific wavelengths, then carries out classification based training by SVMs; Second, the aflatoxins pollution level of fluorescence index to material namely by calculating material to be detected after training model carries out sorting.
Two described wavelength, the mode of high light spectrum image-forming is adopted preferably to determine, the mode determined is as follows, first gather the agricultural product seed of different pollution level, then gather its high spectrum image, carry out feature extraction and optimization, select two wavelength of multiple candidate, then be divided into the result of three classes according to high performance liquid chromatography biochemistry detection, training pattern also determines best dual wavelength system, is for two wavelength used during this agricultural product seed sorting.
The present invention compared with prior art has following distinguishing feature and good effect: 1, adopt crawler-type conveying device that material is sent into sorting sensing chamber stably, adopt two light source, dual wavelength filter plate system, the information effectively being gathered the image of agricultural product two surface 4 width specific wavelengths and the long IMAQ of 2 width all-wave by linear array CCD camera is more comprehensive; The Intelligent agricultural product separator 2, with aflatoxins measuring ability can realize online automatic detection aflatoxins pollution level, by calculating the information such as fluorescence index, photoluminescence peak and photoluminescence peak displacement, based on algorithm of support vector machine, judge material aflatoxins pollution level, aflatoxins fluorescence extracting method can realize the extraction for 88%, reject aflatoxins and pollute agricultural product, effectively improve the shortcoming that legacy equipment cost is high, precision is low, effectively reduce aflatoxins checkout gear cost, effectively improve sharpness of separation.
The present invention can be widely used in processing of farm products field, has important practical significance and application prospect widely, by Hyperspectral imager screening for the dual wavelength filter plate of Different Crop, can effectively apply in detecting with the aflatoxins of other crops.
Accompanying drawing explanation
Fig. 1 is the Intelligent agricultural product separator installation diagram that the present invention has aflatoxins measuring ability.
Fig. 2 is the aflatoxins detecting unit beam splitting system schematic diagram that the present invention adopts.
Fig. 3 is the core algorithm flow chart that the present invention adopts.
Component names in figure: 1. body feed tank, 2. oscillating feeder, 3. discharging opening, 4. crawler-type conveying device, 5. agricultural product to be measured, 6. sorting detect casing, 7. sorting detection case passage, 8. linear array CCD camera, 9. level crossing to, 10. filter plate is to, the picture of 11. computer processing systems, 12. UV, visible light lamps, 13. high speed jet valves, 14. certified products material storing box, 15. defective work material storing box, 16. frames, 17. agricultural product.
Specific embodiments
For making the object of the embodiment of the present invention, technical scheme and advantage clearly, below in conjunction with the accompanying drawing in the embodiment of the present invention, technical scheme in the embodiment of the present invention is clearly and completely described, obviously, described embodiment is the present invention's part embodiment, instead of whole embodiments.Based on the embodiment in the present invention, those of ordinary skill in the art, not making the every other embodiment obtained under creative work prerequisite, belong to the scope of protection of the invention.
As shown in Figure 1, there is the Intelligent agricultural product separator of aflatoxins measuring ability, comprise frame 14, one end of frame 14 is mounted with feeding mechanism, feeding mechanism is by body feed tank 1, oscillating feeder 2 and discharging opening 3 form, described discharging opening 3 is installed on the top of oscillating feeder 2, body feed tank 1 exports below, the speed of feeding material is regulated by controlling oscillating feeder 2, crawler-type conveying device 4 is installed in the middle part of frame 1, described crawler-type conveying device 4 one end is positioned at below discharging opening, the crawler-type conveying device rotated transports material to the frame other end, agricultural product to be measured 5 with certain speed depart from conveyer belt in exit, carry out the movement of falling object, enter sorting detection case passage 7.
As shown in Figure 2, after agricultural product seed 5 enters sense channel, under visible LED 12 is irradiated, line-scan digital camera 9 directly takes visible images, first by being passed to computer 11 respectively by the filter plate 10 of two customization wavelength by camera 8 shooting at two flat 9 one-tenth, mirrors, two pictures, 17, two pictures under the irradiation of ultraviolet LED lamp 12.
As shown in Figure 3, first model training, gather the material seed composition training set of various three kinds of different pollution levels, uncontaminated 0-20ppb, slight pollution 20-100ppb and serious pollution is divided into be greater than 100ppb tri-class according to biochemical test according to pollution level, and carry out carrying out model training by support vector machine method according to the high spectrum image gathered, optimize two wavelength b1 and b2 for extraordinary material, the filter plate making two wavelength is installed; During aflatoxins recognition detection, by the ultraviolet image of two width different wave lengths photographed, calculate two wavelength normalization fluorescence index NDFI=(b1-b2 of each pixel)/(b1+b2), then carry out recognition detection by SVMs.
Computer is calculated by the RGB color of visible images and fluorescence index calculates, according to appearance color and aflatoxins pollution level, agricultural product are divided into qualified agricultural product and defective agricultural product two class by decision model, then decision signal is delivered to the electromagnet of high speed jet valve, control the opening and closing of high speed jet valve 13, if agricultural product are qualified, qualified agricultural product enter certified products material storing box 14 through freely falling body, if aflatoxins content is defective, it is jet that control system controls high speed jet valve, change the normal orbit of agricultural product, agricultural product enter defective work material storing box 15 and complete sorting.Finally treat that the material of sorting has been divided into two parts, namely qualified material and underproof material.
Claims (9)
1. one kind has the Intelligent agricultural product separator of aflatoxins measuring ability, it is characterized in that, this device core is aspergillus flavus sorting detecting unit, supporting crawler-type conveying device is used for transmitting agricultural product material, in described sorting sensing chamber casing, Uv and visible light source is installed, the filter plate group of specific wavelength, level crossing group and line-scan digital camera, described sorting checkout gear is arranged on Caterpillar conveyer structure end, Caterpillar conveyer structure upper end is provided with feeding mechanism, sorting sensing chamber channel exit is provided with snifting valve, material collection case is installed below this snifting valve.
2. the Intelligent agricultural product separator with aflatoxins measuring ability according to claim 1, it is characterized in that, described sorting detecting unit is closed sensing chamber's casing, the passage passed through for tested material is offered in the middle part of this casing, these passage both sides install two cover checkout gears respectively, often overlap checkout gear and comprise light-source system, filtering system, mirror image system and image processing system.
3. the Intelligent agricultural product separator with aflatoxins measuring ability according to claim 2, the LED uviol lamp pearl and one that described light-source system is 365nm by row's centre wavelength is arranged all band high-brightness LED lamp pearl and forms, alternatively, LED uviol lamp pearl U.S. Lu Yang LUYOR-3404 desk model ultraviolet lamp lamp pearl used, high-brightness LED lamp pearl can select U.S. CREE XM-L2 high power DC LED lamp bead.
4. the Intelligent agricultural product separator with aflatoxins measuring ability according to claim 2, described filtering system is made up of three sections of filter plates, first segment and Section three are equipped with the filter plate of two specific wavelengths, second section is provided with full-transparency type filter plate, two wavelength differences selected by different detection materials, be 400nm and 420nm for capsicum, being 437 and 537nm for corn, is 420nm and 450nm for peanut.
5. the Intelligent agricultural product separator with aflatoxins measuring ability according to claim 2, described mirror image system comprises the completely reflecting mirror composition that two panels is arranged on the material back side, material becomes common visual picture by full-transparency type filter plate under the illumination of all band LED, the back side of material is reflected by two speculums under ultraviolet LED lamp pearl is irradiated, and becomes two width UV fluorescence image by the customization filter plate of two different wave lengths.
6. the Intelligent agricultural product separator with aflatoxins measuring ability according to claim 2, described imaging processing system is made up of line-scan digital camera and computer processing system, three width images enter computer disposal through line-scan digital camera shooting, computer judges grade and the aflatoxins pollution level thereof of material according to the Processing Algorithm designed, and signal is issued the magnetic valve controlling air gun, a kind of alternative ultraviolet-cameras is Canadian DALSA line-scan digital camera.
7. according to the Intelligent agricultural product separator with aflatoxins measuring ability according to claim 6, described common visual picture, by after computer acquisition, processes its RGB image, according to material shade threshold value, by adjustment rgb value, the seed of unconventional color can be removed.
8. the Intelligent agricultural product separator with aflatoxins measuring ability according to claim 6, described judgement aflatoxins Processing Algorithm is divided into two steps, the first step is to model training, first the material seed composition training set of various three kinds of different pollution levels is gathered, uncontaminated 0-20ppb is divided into according to pollution level, slight pollution 20-100ppb, serious pollution be greater than 100ppb, calculate two wavelength normalization fluorescence index NDFI=(b1-b2 of each pixel)/(b1+b2), wherein b1 and b2 is respectively the reflectivity of two specific wavelengths, then classification based training is carried out by SVMs, second, the aflatoxins pollution level of fluorescence index to material namely by calculating material to be detected after training model carries out sorting.
9. the Intelligent agricultural product separator with aflatoxins measuring ability according to claim 8, two described wavelength, the mode of high light spectrum image-forming is adopted preferably to determine, the mode determined is as follows, first the agricultural product seed of different pollution level is gathered, then its high spectrum image is gathered, carry out feature extraction and optimization, select two wavelength of multiple candidate, then the result of three classes is divided into according to high performance liquid chromatography biochemistry detection, training pattern also determines best dual wavelength system, is for two wavelength used during this agricultural product seed sorting.
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