CN201021922Y - A no damage device for detecting fruit quality - Google Patents
A no damage device for detecting fruit quality Download PDFInfo
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- CN201021922Y CN201021922Y CNU2007201066730U CN200720106673U CN201021922Y CN 201021922 Y CN201021922 Y CN 201021922Y CN U2007201066730 U CNU2007201066730 U CN U2007201066730U CN 200720106673 U CN200720106673 U CN 200720106673U CN 201021922 Y CN201021922 Y CN 201021922Y
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Abstract
The utility model relates to a device to nondestructively detect fruit quality, which comprises a fruit transportation component, a fluorescence spectrum image acquisition component, an electric calculating component and a classifying component, wherein the fruit transportation component comprises a slide track, a fruit wheel arranged on the slide track and a driving mechanism arranged on the slide track, the electric calculating component comprises a computer and an image acquisition card, the fluorescence spectrum image acquisition component is arranged above the transportation component, the beam condenser of the fluorescence spectrum image acquisition component is arranged in front of a laser device, a CCD camera is arranged behind an imaging spectrograph, the axis of the laser device and the axis of the CCD camera cross on the fruit to be detected, the CCD camera is connected with the image acquisition card and the wires of the laser device by a trigger, a sensor connected with the wires of the trigger is arranged below the fruit to be detected, and the classifying component comprises an air pump and a high-pressure air fountain arranged on the bifurcated portion of the slide track. The utility model can simultaneously realize nondestructive, rapid and on-line detection of defects or damages inside the fruit and plural qualities such as the color, the sugar concentration, the texture, the acidity and the inner nutrient of the fruit.
Description
Technical field
The utility model relates to the Non-Destructive Testing of agricultural product internal soundness, specifically a kind of device that utilizes the laser inducing fluorescent high spectral image technology to come the multiple quality of Non-Destructive Testing fruit.
Background technology
Along with improving constantly of people's quality of life, the consumer except paying attention to external sorts such as size, color, face shaping, also very values for inside quality such as hardness, pol, acidity and indexs such as inner nutriment such as vitamin content when choosing fruit.The Non-Destructive Testing of fruit internal quality will be for the consumer provides directly, the easy means of rapid evaluation fruit flavouring quality.In order to satisfy consumers in general for choosing High Quality Fruit, really reach the purpose of genuine goods at a fair price, research and development Non-Destructive Testing fruit grading technology has practical value.At present, the research method of fruit internal quality Non-Destructive Testing at present mainly is that method has the near-infrared analysis method.
Near-infrared spectrum technique has reasonable predictive ability to fruit pol, acidity and inner nutriment, but this information is one dimension.Because agricultural and animal products are irregular body often, surperficial each several part has the difference of shape, color even tissue signature.And the position that fibre-optical probe detects is very little, so the information that spectrum is expressed just seems not comprehensive.Computer picture can be expressed two-dimensional signal, has the advantage of telemeasurement.In addition, can detect a plurality of agricultural and animal products objects simultaneously with computer picture, detection efficiency is very high.Current, the new technology of detection of a kind of energy integration spectrum and image detection advantage--high spectrum image just in time can satisfy the needs of agricultural and animal products detection technique development.
Though it is near infrared spectrum can characterize agricultural and animal products inside quality information preferably, and is better to the predictive ability of fruit pol, acidity and inner nutriment, relatively poor to the precision of prediction of quality (hardness).At present, still do not have and can carry out Non-Destructive Testing fruit internal quality, thus can be easily and fast and distinguish the technology of fruit internal quality accurately.Therefore be necessary to design a kind of non-destruction, noncontact, pick-up unit fast,, improve the fruit competitiveness in international market in order to the more accurate classification of fruit.
Summary of the invention
The purpose of this utility model is to provide a kind of laser inducing fluorescent high spectral image technology of using to come quick nondestructive to detect the device of fruit defects or damage, color, pol, quality, acidity and inner nutriment.
The utility model solves the problems of the technologies described above the technical scheme that is adopted:
A kind of device of Non-Destructive Testing fruit quality comprises fruit transfer unit, fluorescence spectrum image acquisition component, zooming parts and classification parts, described fruit transfer unit is by slideway and rectilinear branches thereof fruit slideway and the side branch fruit slideway of doing enforced and unpaid work for the government or landlord well, and be positioned on the slideway, series connection is formed for the fruit wheel of one and the driving mechanism that is in transmission connection with it at interval; The hyperbola that the axial section of fruit wheel is little in the middle of being, the end is big, it only moves with respect to slideway, does not roll, and position fruit thereon is actionless with respect to the fruit wheel.
Described zooming parts comprise that the computing machine that detects software is installed reaches the image pick-up card that links with it.
Described fluorescence spectrum image acquisition component is positioned at the top of fruit transfer unit, the condenser of fluorescence spectrum image acquisition component is installed in the front of laser instrument, the CCD camera is installed in the imaging spectrometer back, the axes intersect of the axis of laser instrument and CCD camera is in detected fruit, the angle of the transporting flat of the axis of laser instrument and fruit transfer unit is the 5-30 degree, and the axis normal of CCD camera is in the transporting flat of fruit transfer unit; The CCD camera is connected with the laser instrument lead by trigger, the CCD camera also is wired to the image pick-up card of zooming parts, the position transducer that is connected with trigger lead is installed on the rectangular groove of detected fruit below, is convenient to regulate along rectangular groove the accurate installation site of sensor; Laser instrument is a helium-neon laser, and the optical maser wavelength that laser instrument sends is selected 632nm or 408nm for use.
Described classification parts comprise the high-pressure jet mouth that is controlled by computing machine and pass through the connected air pump of gas piping that the high-pressure jet mouth is installed in the offside of the difference fruit slideway of slideway crotch.
The beneficial effects of the utility model are:
1) do not need to destroy and contact detected fruit, adopt laser inducing fluorescent high spectral image can can't harm simultaneously, fast, noncontact, detect the multiple quality of fruit online, for example detect defective, damage, color, pol, quality, acidity and the inner nutriment of fruit.
2) other fruit that is difficult to detect damage and quality (comprising hardness) are all had good predictive ability, the facies relationship number average of the defective of foundation, damage, color, pol, quality, acidity and inner nutriment forecast model can reach more than 0.95.
Description of drawings
Fig. 1 is principle of the present utility model and structural representation;
Fig. 2 is the structural representation of the utility model classification mechanism.
Embodiment
Below in conjunction with drawings and Examples the utility model is described in further detail.
Embodiment as shown in Figure 1, 2, structure of the present utility model comprises:
1) the fruit transfer unit is by slideway 13 and rectilinear branches thereof fruit slideway 15 and the side branch fruit slideway 14 of doing enforced and unpaid work for the government or landlord well, and be positioned on the slideway 13, series connection is the hyperbolic grind that the centre is little, the end is big 9 of one and the driving mechanism composition that is in transmission connection with it at interval, under the latter's driving, hyperbolic grind 9 can move forward together along slideway 13, but does not roll.
2) the zooming parts comprise that the computing machine 1 that detects software is installed reaches the image pick-up card 2 that links with it.
3) the fluorescence spectrum image acquisition component is positioned at the top of fruit transfer unit, and the condenser 6 of fluorescence spectrum image acquisition component is installed in the front of laser instrument 4, and the angle of the transporting flat of the axis of laser instrument 4 and fruit transfer unit is the 5-30 degree; CCD camera 12 is installed in imaging spectrometer 5 back, and the axis normal of CCD camera 12 is in the transporting flat of fruit transfer unit, and the axes intersect of the axis of laser instrument 4 and CCD camera 12 is in detected fruit 8; CCD camera 12 is connected with laser instrument 4 leads by trigger 3, CCD camera 12 also is wired to the image pick-up card 2 of zooming parts, the near infrared position transducer 10 that is connected with trigger 3 leads is installed on the rectangular groove of detected fruit 8 belows, can regulate the accurate installation site of sensor 10 along rectangular groove.Reach trigger 3 behind position transducer 10 induced signals, trigger laser instrument 4 and start CCD camera 12 images acquired; Laser instrument 4 sends the surface that laser 7 shines fruit 8, and the fluorescence 11 that fruit 8 is excited to send enters CCD camera 12 through imaging spectrometer 5 and gathers the fluoroscopic image at different wave length place; Laser instrument 4 is a helium-neon laser, and the optical maser wavelength of being sent is selected 632nm or 408nm for use.
4) the classification parts comprise the high-pressure jet mouth 16 that is controlled by computing machine 1 and pass through the connected air pump of gas piping, and high-pressure jet mouth 16 is installed in the offside of the difference fruit slideway 14 of slideway 13 crotches.Detect software and make judgement according to relevant fruit grade or technical standard, if defective, it is jet that computing machine 1 sends signal controlling high-pressure jet mouth 16, and underproof fruit 8 is blown into difference fruit slideway 14.
This Device Testing step is as follows:
1) the drive mechanism hyperbolic grind 9 of fruit transfer unit moves forward together along slideway 13, but does not roll; Fruit 8 upwards is placed on two hyperbolic grinds, 9 middle recesses with the position, equator and also advances thereupon, and it is actionless with respect to hyperbolic grind 9, in order to the laser inducing fluorescent high spectral image of taking fruit 8.
2) tested fruit 8 arrives the crossing point of axes of laser instruments 4 and CCD camera 12, reaches trigger 3 after being positioned at position transducer 10 induced signals of its below, triggers laser instrument 4 and also starts CCD camera 12 images acquired; The laser beam 7 that laser instrument 4 sends shines fruit surface, and the fluorescence 11 that fruit is excited to send enters imaging spectrometer 5 and CCD camera 12 is gathered the fluoroscopic image at different wave length place together.
3) gather the fluorescent high spectral image at each wavelength place in 640nm to the 1100nm interval by image pick-up card 2, imaging spectrometer 5, CCD camera 12.
4) in the fluorescent high spectral image at each wavelength place, be the sub-image of center intercepting long 100mm, wide 50mm with the laser spots, the gray-scale value mean value of statistics sub-image.
5), adopt principal component analytical method to determine the fluorescent high spectral image in optimal wavelength interval according to the gray-scale value mean value of sub-image; According to the sub-image gray-scale value mean value of fluorescent high spectral image between optimal zone, set up the model of prediction fruit defects or damage, color, pol, quality, acidity and inner nutriment again.
6) detection system is carried out sub-image average gray statistics to the fluorescent high spectral image in optimal wavelength interval, and then according to the defective of operation values substitution fruit or the forecast model of damage, color, pol, quality, acidity and inner nutriment, thereby judge the grade of fruit 8.
7) detect software and the tested fruit 8 that is positioned at slideway 13 crotches is gone out to judge that if defective, it is jet that computing machine 1 sends signal controlling high-pressure jet mouth 16, underproof fruit 8 is blown into difference fruit slideway 14 according to relevant fruit grade or technical standard.
Claims (4)
1. the device of a Non-Destructive Testing fruit quality, it is characterized in that: comprise fruit transfer unit, fluorescence spectrum image acquisition component, zooming parts and classification parts, described fruit transfer unit is by slideway (13) and rectilinear branches thereof fruit slideway (15) and the side branch fruit slideway (14) of doing enforced and unpaid work for the government or landlord well, and is positioned at that slideway (13) is gone up, series connection is the fruit wheel (9) of one and the driving mechanism composition that is in transmission connection with it at interval; Described zooming parts comprise that the computing machine (1) that detects software is installed reaches the image pick-up card (2) that links with it; Described fluorescence spectrum image acquisition component is positioned at the top of fruit transfer unit, the condenser of fluorescence spectrum image acquisition component (6) is installed in the front of laser instrument (4), CCD camera (12) is installed in imaging spectrometer (5) back, the axes intersect of the axis of laser instrument (4) and CCD camera (12) is in detected fruit (8), CCD camera (12) is connected with laser instrument (4) lead by trigger (3), CCD camera (12) also is wired to the image pick-up card (2) of zooming parts, and the position transducer (10) that is connected with trigger (3) lead is installed on the rectangular groove of detected fruit (8) below; Described classification parts comprise high-pressure jet mouth (16) and by the connected air pump of gas piping, high-pressure jet mouth (16) is installed in the offside of the difference fruit slideway (14) of slideway (13) crotch.
2. the device of a kind of Non-Destructive Testing fruit quality according to claim 1 is characterized in that: the hyperbola that the axial section of described fruit wheel (8) is little in the middle of being, the end is big, it only moves with respect to slideway (13), does not roll.
3. the device of a kind of Non-Destructive Testing fruit quality according to claim 1, it is characterized in that: the angle of the axis of described laser instrument (4) and the transporting flat of fruit transfer unit is the 5-30 degree, and the axis normal of CCD camera (12) is in the transporting flat of fruit transfer unit.
4. the device of a kind of Non-Destructive Testing fruit quality according to claim 1 is characterized in that: described laser instrument (4) is a helium-neon laser, and the optical maser wavelength that laser instrument (4) sends is selected 632nm or 408nm for use.
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CNU2007201066730U CN201021922Y (en) | 2007-02-13 | 2007-02-13 | A no damage device for detecting fruit quality |
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CNU2007201066730U CN201021922Y (en) | 2007-02-13 | 2007-02-13 | A no damage device for detecting fruit quality |
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Cited By (13)
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CN102253025A (en) * | 2011-06-22 | 2011-11-23 | 中国人民公安大学 | Composite fluorescence imaging system applied in forensic science evidence testing, and application method thereof |
CN103063585A (en) * | 2013-01-05 | 2013-04-24 | 石河子大学 | Rapid nondestructive lemon and fruit maturity testing device and testing system establishment method |
CN103203325A (en) * | 2013-03-06 | 2013-07-17 | 厦门通士达新科技有限公司 | System and method of online vision detection |
CN104101613A (en) * | 2013-04-10 | 2014-10-15 | 苏州华觉智能科技有限公司 | Cable online detection system |
CN105092518A (en) * | 2015-06-16 | 2015-11-25 | 江西农业大学 | Navel orange sugar degree rapid nondestructive detection method and device |
CN105717051A (en) * | 2016-04-22 | 2016-06-29 | 合肥美菱股份有限公司 | System capable of rapidly detecting fruit and vegetable freshness and refrigerator |
CN105842410A (en) * | 2016-03-31 | 2016-08-10 | 中国农业大学 | Rapid nondestructive testing method for freshness based on air-flow pulse and laser ranging |
CN105954205A (en) * | 2016-04-27 | 2016-09-21 | 南京林业大学 | Spectral imaging-based green plum sugar content and acidity fast non-destructive detection device |
CN107621460A (en) * | 2016-07-15 | 2018-01-23 | 华东交通大学 | A kind of near infrared spectrum diffusing transmission technology yellow peach implicit damage and pol while on-line measuring device and method |
CN108760655A (en) * | 2018-04-28 | 2018-11-06 | 东北电力大学 | A kind of apple sense of taste profile information method for visualizing |
CN111899033A (en) * | 2020-07-09 | 2020-11-06 | 西安交通大学 | Object digital identity construction system and method based on block chain and hyperspectrum |
CN113702377A (en) * | 2021-08-05 | 2021-11-26 | 华中农业大学 | Glucose degree nondestructive testing method based on deep learning |
CN114152572A (en) * | 2021-12-03 | 2022-03-08 | 湖北工程学院 | Fruit sampling detection device is used in fruit tea production |
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2007
- 2007-02-13 CN CNU2007201066730U patent/CN201021922Y/en not_active Expired - Fee Related
Cited By (17)
Publication number | Priority date | Publication date | Assignee | Title |
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CN102253025B (en) * | 2011-06-22 | 2012-12-05 | 中国人民公安大学 | Composite fluorescence imaging system applied in forensic science evidence testing, and application method thereof |
CN102253025A (en) * | 2011-06-22 | 2011-11-23 | 中国人民公安大学 | Composite fluorescence imaging system applied in forensic science evidence testing, and application method thereof |
CN103063585A (en) * | 2013-01-05 | 2013-04-24 | 石河子大学 | Rapid nondestructive lemon and fruit maturity testing device and testing system establishment method |
CN103203325A (en) * | 2013-03-06 | 2013-07-17 | 厦门通士达新科技有限公司 | System and method of online vision detection |
CN104101613A (en) * | 2013-04-10 | 2014-10-15 | 苏州华觉智能科技有限公司 | Cable online detection system |
CN105092518A (en) * | 2015-06-16 | 2015-11-25 | 江西农业大学 | Navel orange sugar degree rapid nondestructive detection method and device |
CN105842410B (en) * | 2016-03-31 | 2018-01-02 | 中国农业大学 | A kind of freshness fast non-destructive detection method based on air-flow pulse and laser ranging |
CN105842410A (en) * | 2016-03-31 | 2016-08-10 | 中国农业大学 | Rapid nondestructive testing method for freshness based on air-flow pulse and laser ranging |
CN105717051A (en) * | 2016-04-22 | 2016-06-29 | 合肥美菱股份有限公司 | System capable of rapidly detecting fruit and vegetable freshness and refrigerator |
CN105954205A (en) * | 2016-04-27 | 2016-09-21 | 南京林业大学 | Spectral imaging-based green plum sugar content and acidity fast non-destructive detection device |
CN105954205B (en) * | 2016-04-27 | 2018-11-13 | 南京林业大学 | Green plum pol based on light spectrum image-forming and acidity Rapid non-destructive testing device |
CN107621460A (en) * | 2016-07-15 | 2018-01-23 | 华东交通大学 | A kind of near infrared spectrum diffusing transmission technology yellow peach implicit damage and pol while on-line measuring device and method |
CN108760655A (en) * | 2018-04-28 | 2018-11-06 | 东北电力大学 | A kind of apple sense of taste profile information method for visualizing |
CN111899033A (en) * | 2020-07-09 | 2020-11-06 | 西安交通大学 | Object digital identity construction system and method based on block chain and hyperspectrum |
CN111899033B (en) * | 2020-07-09 | 2024-04-16 | 西安交通大学 | Article digital identity construction system and method based on blockchain and hyperspectrum |
CN113702377A (en) * | 2021-08-05 | 2021-11-26 | 华中农业大学 | Glucose degree nondestructive testing method based on deep learning |
CN114152572A (en) * | 2021-12-03 | 2022-03-08 | 湖北工程学院 | Fruit sampling detection device is used in fruit tea production |
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Granted publication date: 20080213 |