CN101308086B - Fruit internal quality on-line checking apparatus based on near infrared spectra technology - Google Patents
Fruit internal quality on-line checking apparatus based on near infrared spectra technology Download PDFInfo
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- CN101308086B CN101308086B CN2008101242835A CN200810124283A CN101308086B CN 101308086 B CN101308086 B CN 101308086B CN 2008101242835 A CN2008101242835 A CN 2008101242835A CN 200810124283 A CN200810124283 A CN 200810124283A CN 101308086 B CN101308086 B CN 101308086B
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Abstract
The invention relates to a fruit internal quality on-line detection method and an apparatus thereof. The detection method comprises: implementing the spectral scanning to the fruit to be detected and collecting a near infrared spectrum of the fruit to be detected; and putting acquired spectrum signals into a pre-established model and getting the internal quality index of the fruit to be detected. The detection apparatus includes a spectrum collection device and a computer; wherein, the spectrum collection device is used in spectral scanning to the fruit to be detected and collection of near infrared spectrum signals of the fruit to be detected so as to transmit the signals to the computer; and the computer is used for putting the received spectrum signals into the pre-established model for data analysis so as to obtain the internal quality index of the fruit to be detected. The method applies the optical detection means based on near infrared to the detection process of fruit internal quality, and can release the labor force, and the method also has advantages of high detection precision, good consistency of results and high degree of automation, and creates the conditions for the standardized classification of internal quality of fruit products.
Description
Affiliated technical field
The present invention relates to a kind of detection method, refer in particular to fruit internal quality online test method and device thereof based near infrared spectrum at fruit internal quality.
Background technology
China is world fruit big producing country, and variety source is abundant, and output was sure to occupy the No. 1 in the world in recent years.But no matter compare with developed country in the international market, be that the export volume or the processing of the depth of fruit of fruit all still has a certain distance, its main cause to be that the fruit commercialized degree is not high, inside quality is uneven.For example mouthfeel and the local flavor with a collection of fruit just exists than big-difference, and indexs such as their hardness, solid content and sugar-acid ratio are not controlled within the standard.Therefore, be necessary the fruit internal quality index is quantized, for fruit product inside quality standardization classification creates conditions.
At present, artificial sense assessment method and conventional chemical analytical approach are still continued to use in the quality testing of most fruits inside quality.The conventional chemical analysis has higher accuracy and reliability, and still, it belongs to destructive detection, and detection time, long these never were fit to the online detection of quality of agricultural product.And manual detection normally by do some training very often, veteran expert finishes through subjective appreciation, the testing result subjectivity is strong, consistance is poor; Simultaneously manual detection labour intensity is big, and especially for short, the perishable fruit of storage life, it can not satisfy the fast detecting requirement in the agricultural product process of circulation far away.
That near-infrared spectral analysis technology has is pollution-free, low consumption, non-destructive, can realize advantage such as simultaneous determination of multiponents and analysis speed be fast.The existing more research of Non-Destructive Testing that utilizes near-infrared spectral analysis technology to carry out agricultural product is used, as inside qualities such as the degree of ripeness of measuring watermelon, pear and other fruits, hardness.In the research, fruit internal quality detects main still static at present, and this method can not satisfy the fruit internal quality on-line detection requirement.Possessed reliable theoretical basis based near infrared fruit internal quality on-line detection, but this technology only rests on the laboratory study stage.Therefore be necessary to develop a kind of fruit internal quality pick-up unit, to satisfy the large-scale development of fruit deep process technology based on near-infrared spectral analysis technology.
Summary of the invention
In view of above-mentioned prior art development, purpose of the present invention is exactly that a kind of method for online detecting near infrared spectrum and device thereof at fruit internal quality will be provided.By fruit to be measured being carried out near infrared spectrum scanning, import the spectral signal of accepting into computer by detecting device, then these are contained the correlation model that the spectral signal substitution of the inside quality characteristic information of fruit to be detected has been set up, relevant fruit internal quality indexs such as the pol that can calculate detected fruit and acidity are to realize fruit internal quality on-line detection.
The near infrared spectrum detection method of the fruit internal quality that the present invention is said is, fruit to be measured is carried out spectral scan, gathers fruit near infrared spectrum to be measured; With the model that the spectral signal and the substitution of acquisition are set up in advance, calculate the inside quality index of detected fruit.
A kind of pick-up unit of realizing above-mentioned detection method comprises spectra collection device and computing machine; Wherein,
The spectra collection device is used for fruit to be measured is carried out spectral scan, gathers fruit near infrared light spectrum signal to be measured and is transferred to computing machine;
Computing machine is used for model that the spectral signal substitution that receives is set up in advance, carries out data analysis, draws the inside quality index of detected fruit.
Above-mentioned said spectra collection device comprises light source, fibre-optical probe, spectrometer and CCD detecting device, and light source and fibre-optical probe are arranged in the daylighting darkroom, wherein,
Light source is used for rayed at fruit surface to be measured;
Fibre-optical probe is used to gather the light that diffuse reflection is come out in the fruit to be measured, reaches spectrometer;
Spectrometer is used for complex light is decomposed into the monochromatic effect of single wavelength;
Detecting device be used to accept the spectral signal of spectrometer, and infrared signal changes electric signal into nearly, changes digital signal input computing machine into by A/D again.
For realizing automation mechanized operation, in the daylighting darkroom, also be provided with rotatable platform, be used to place fruit to be measured.
Described rotatable platform, its velocity of rotation can be passed through step motor control, the time shutter of its rate request and CCD detecting device matches, and just (is traditionally arranged to be less than 20ms) center, fruit equator to be measured in the CCD detector exposure time substantially under fibre-optical probe.Circular hole is arranged above the rotatable platform, and fruit to be measured is put in this circular hole, and small front apron is posted near the appropriate location each circular hole.This small front apron cooperates trigger to use, and when small front apron blocked two infrared optical fiber probes of trigger, trigger just triggered the CCD detecting device and carries out data acquisition.
Described light source is a halogen light source, and its light is drawn by two optical fiber light is beaten near the position center, fruit equator, and the hot spot that two optical fiber are beaten on fruit overlaps substantially.The fibre-optical probe of accepting spectral signal is directly over centre, fruit equator.Luminous source optical fiber and fibre-optical probe have passed through static optimum experimental in early stage to the distance at center, fruit equator.
Described spectrometer mainly plays the monochromatic effect that complex light is decomposed into single wavelength.The complex light of being sent by halogen light source projects on the collimator objective by entrance slit, forms parallel beam and projects on the grating, and the light after chromatic dispersion is imaged on the exit slit place by focus lamp.When grating rotates by counter clockwise direction, can in face of exit slit, obtain, and then select required near infrared spectrum interval therein by the tactic spectrum of wavelength.
Described CCD detecting device, being used for the near infrared light signal transition of carrying sample message is electric signal, changes digital signal input computer into by A/D again.The near infrared spectrum that the CCD detecting device adopts the external trigger mode to finish fruit scans.In the time of under fruit to be measured moves to fibre-optical probe, small front apron just in time blocks two probes of trigger, and trigger just triggers the CCD detecting device and carries out data acquisition.When moving to other positions, trigger two conducting all the time of popping one's head in, this moment, trigger did not trigger the CCD sensors work, just can not gather spectral signal yet.
Described model is the calibration model of near infrared spectrum signal value and fruit internal quality index.The conventional method of modelling is: at first select some (generally greater than 50) certain kind fruit, gather the near infrared spectrum of whole fruit, then with reference to relevant national standard, method with physics and chemistry records a certain finger target value of fruit internal quality, screen several variablees with the method that progressively returns again and set up multivariate regression model, this model is for having high correlation between near infrared light spectrum signal and the fruit internal quality index.Model is built up the back and is imported in the near infrared fruit internal quality detection software of exploitation.
The near infrared fruit internal quality is installed in the described computing machine detects software, the operation of major control CCD detecting device, the demonstration of the spectrogram of collection and fruit internal quality index value.
During work, spectrometer at first is set, select required spectral range, the speed of rotatable platform is set, connects the trigger power supply, open the near infrared fruit internal quality and detect software systems, trigger control CCD detecting device fruit to be measured is carried out spectral scan one by one, the spectral signal value substitution Model Calculation that detecting device is obtained obtains the inside quality index of each fruit to be measured, and a corresponding inside quality index is shown on software interface, and the result that will at every turn test is saved in computer hard disc.
The operation of test sample is as follows:
1, at first the parameter of installing each annex is provided with.As the wavelength coverage of the intensity of light source, spectrometer, the time shutter of detecting device and the velocity of rotation of rotatable platform etc. are set.
When 2, measuring fruit, fruit is inserted on the rotatable platform in the airtight daylighting chamber, when fruit run to light source and fibre-optical probe under the time, the detection trigger device is gathered near infrared spectrum to the fruit under the fibre-optical probe.The light that halogen light source is sent is by fiber-optic illuminated to detected fruit surface, and portion forms diffuse reflection within it, the light that diffuse reflection is come out is accepted by the CCD detecting device after fibre-optical probe enters the spectrometer beam split, and detect that software is accepted this spectral signal value and spectral signal value substitution Model Calculation by the near infrared fruit internal quality of exploitation certainly, the desired value that on software system interface, can show certain inside quality of this fruit, so far this fruit end of test (EOT).
3, along with the rotation of mobile platform, next fruit to be measured will enter fibre-optical probe under, finish the operation in second step equally, by that analogy, finish the inside quality of fruit to be measured on the mobile platform one by one and measure.
The invention has the beneficial effects as follows: the present invention provides application foundation for standardization classification, the automated production of fruit internal quality, with present physico-chemical analysis method and manual method to fruit internal quality classification compare, objectivity, repeatability are stronger.The mensuration that apparatus of the present invention are finished a fruit internal quality to be measured is no more than 50ms.The present invention adopts the rotation simulation production line of mobile platform, in actual application, as required this device is adjusted a little, just can be suitable equally.
The present invention will be applied in the testing process of fruit internal quality based near infrared optical detection means, not only can liberate the labour, but also have the accuracy of detection height, advantage such as high conformity and automaticity be strong as a result, for condition has been created in fruit product inside quality standardization classification.
Description of drawings
Fig. 1: technical scheme synoptic diagram of the present invention.
Fig. 2: application example of the present invention is realized the hardware synoptic diagram
Wherein, 1, computing machine; 2, light source; 3, luminous source optical fiber; 4, fibre-optical probe; 5, spectrometer; 6, detecting device; 7, infrared trigger; 8, daylighting darkroom; 9, rotatable platform; 10, little plate washer; 11, stepper motor.
Embodiment
The present invention has versatility to the Non-Destructive Testing of the inside quality of fruit, but because types of fruits is a lot, therefore the present invention only lifts an embodiment that is used for red fuji apple, the detection of other fruit can be with reference to the method for this embodiment, specifically at a certain index of the fruit internal quality of being surveyed, set up a new model, just can test such fruit.
The embodiment step is consulted Fig. 1, the system schema synoptic diagram that the present invention detects apple.The example implement device is consulted Fig. 2.Select a collection of apple (generally greater than 50) earlier and be used for setting up model, use pick-up unit that apple is carried out spectral scan, the spectral signal value that the CCD detecting device obtains is preserved in the computing machine based on near-infrared spectral analysis technology.The physico-chemical method that apple sugar content is measured is carried out in strict accordance with GB GB12295-90, and peel, squeeze the juice in the place at apple spectral scan hot spot, and measure with Abbe refractometer.Adopt the method that progressively returns to filter out characteristic signal then, set up the correlation model between spectral signal value and the apple sugar content.Model is imported to the near infrared fruit internal quality detect software.
Next just can carry out on-line determination to the pol of unknown apple.Fruit is inserted on the rotatable platform 9 in the airtight daylighting chamber 8, opens light source 2, when fruit run to luminous source optical fiber 3 and fibre-optical probe 4 under the time, little plate washer 10 blocks two probes of trigger 7, trigger 7 just triggers CCD detecting device 6 and carries out data acquisition; The light that halogen rope lamp source 2 is sent shines on the detected fruit surface by optical fiber 3, and portion forms diffuse reflection within it, the light that diffuse reflection is come out is accepted by CCD detecting device 6 after fibre-optical probe 4 enters spectrometer 5 beam split, CCD detecting device 6 is the near infrared light signal transition of carrying sample message an electric signal, changes digital signal input computing machine 1 into by A/D again; Accept this spectral signal value in the computing machine 1 and, on software system interface, can show the desired value of certain inside quality of this fruit, so far this fruit end of test (EOT) spectral signal value substitution Model Calculation.On rotatable platform 9, put apple to be measured, when apple run to detection fiber probe 4 under the time, 6 work of trigger 7 beginning detection trigger devices, carry out the spectrum data gathering of apple, accept this spectral signal value and characteristic signal value substitution Model Calculation by the detection software of independent development, the pol value of apple can show that on software system interface corresponding results is stored on the hard disc of computer immediately, so far this apple end of test (EOT).Along with the rotation of mobile platform, next apple will enter detection fiber probe under, finish same operation, by that analogy, finish the on-line determination of apple sugar content to be measured on the mobile platform one by one.
The invention is not restricted to these disclosed embodiments, the present invention will cover the scope described in the patent book, and the various modification of claim scope and equivalence variation.
Claims (2)
1. the near-infrared spectrum detection device of a fruit internal quality is characterized in that, comprises spectra collection device and computing machine; Wherein,
The spectra collection device is used for fruit to be measured is carried out spectral scan, gathers fruit near infrared light spectrum signal to be measured and is transferred to computing machine; Said spectra collection device comprises light source, fibre-optical probe, spectrometer and CCD detecting device, and light source and fibre-optical probe are arranged in the daylighting darkroom, wherein:
Light source is a halogen light source, is used for rayed at fruit surface to be measured;
Fibre-optical probe is used to gather the light that diffuse reflection is come out in the fruit to be measured, reaches spectrometer;
Spectrometer is used for complex light is decomposed into the monochromatic effect of single wavelength;
The CCD detecting device be used to accept the spectral signal of spectrometer, and infrared signal changes electric signal into nearly, changes digital signal input computing machine into by A/D again;
Daylighting is provided with rotatable platform in the darkroom, is used to place fruit to be measured; Said CCD detecting device adopts the external trigger mode; The time shutter of the velocity of rotation of described rotatable platform and CCD detecting device matches; Circular hole is arranged above the rotatable platform, and fruit to be measured is put in this circular hole, on each circular hole side small front apron is arranged; This small front apron cooperates trigger to use, and when small front apron blocked two infrared optical fiber probes of trigger, trigger just triggered the CCD detecting device and carries out data acquisition;
Computing machine is used for model that the spectral signal substitution that receives is set up in advance, carries out data analysis, draws the inside quality index of detected fruit.
2. according to the said pick-up unit of claim 1, it is characterized in that described model is the calibration model of near infrared spectrum signal value and fruit internal quality index.
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| CN2008101242835A CN101308086B (en) | 2008-06-24 | 2008-06-24 | Fruit internal quality on-line checking apparatus based on near infrared spectra technology |
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| CN2008101242835A CN101308086B (en) | 2008-06-24 | 2008-06-24 | Fruit internal quality on-line checking apparatus based on near infrared spectra technology |
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| CN101308086A CN101308086A (en) | 2008-11-19 |
| CN101308086B true CN101308086B (en) | 2010-09-15 |
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Families Citing this family (22)
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| CN101907564B (en) * | 2010-06-24 | 2013-07-17 | 江苏大学 | Rapeseed quality non-destructive testing method and device based on near infrared spectrum technology |
| CN101949686A (en) * | 2010-08-02 | 2011-01-19 | 扬州福尔喜果蔬汁机械有限公司 | Online nondestructive testing (NDT) method and device for comprehensive internal/external qualities of fruits |
| CN102735612A (en) * | 2011-04-02 | 2012-10-17 | 北京神农谷科技有限公司 | Light source position detection and positioning system |
| CN103048277B (en) * | 2012-12-14 | 2015-08-12 | 北京农业智能装备技术研究中心 | The system and method for near infrared spectrum Non-Destructive Testing fruit internal quality |
| CN103063585B (en) * | 2013-01-05 | 2015-09-02 | 石河子大学 | Melon and fruit degree of ripeness Rapid non-destructive testing device and detection system method for building up |
| CN103278514B (en) * | 2013-05-02 | 2015-05-20 | 浙江大学 | Modeling method of detection model for internal quality of fruit |
| CN103281459A (en) * | 2013-06-06 | 2013-09-04 | 仝晓萌 | Mobile phone capable of measuring sweetness and PH value of fruit |
| CN103817085A (en) * | 2014-02-21 | 2014-05-28 | 山东省农业科学院农业质量标准与检测技术研究所 | Near-infrared quality sorting instrument for winter jujube maturity |
| CN105312246B (en) * | 2015-11-26 | 2017-12-26 | 华南农业大学 | A kind of detection means of the spherical fruit based on hyperspectral technique |
| CN106353322A (en) * | 2016-11-25 | 2017-01-25 | 安徽机电职业技术学院 | Image acquisition device for navel orange grading |
| CN108273764A (en) * | 2017-12-28 | 2018-07-13 | 华东交通大学 | A kind of intelligence fruit sorter |
| CN108613951A (en) * | 2018-03-21 | 2018-10-02 | 浙江大学 | Portable fruit hardness non-destructive testing device and detection method |
| CN108593600A (en) * | 2018-04-19 | 2018-09-28 | 滨州市沾化区冬枣研究所 | Winter jujube automatic sorting method and apparatus |
| CN108760743A (en) * | 2018-08-22 | 2018-11-06 | 江西绿萌分选设备有限公司 | A kind of multi-purpose fruits and vegetables inside quality detection device |
| CN109187544B (en) * | 2018-10-26 | 2024-01-23 | 温州大学 | Device and method for rapidly and nondestructively detecting fruit quality |
| CN109520970B (en) * | 2018-11-07 | 2021-01-19 | 华南理工大学 | Fruit quality detection device and method based on spectrum |
| CN109709075A (en) * | 2018-12-11 | 2019-05-03 | 华南理工大学 | A kind of device and method obtaining face spectrum based on spectroscopic detector |
| CN109829464B (en) * | 2018-12-24 | 2021-01-05 | 核工业北京地质研究院 | Method for screening red Fuji apples by using spectral data |
| CN109596561A (en) * | 2018-12-29 | 2019-04-09 | 芯视界（北京）科技有限公司 | A kind of long-range real-time online fruit quality monitoring system and monitoring method |
| CN112730316B (en) * | 2020-12-04 | 2022-08-16 | 集美大学 | Small fruit internal quality online dynamic rapid detection method based on near infrared spectrum |
| CN112775022A (en) * | 2020-12-04 | 2021-05-11 | 江苏大学 | Small-size fruit inside quality intelligence classification equipment |
| CN117007552B (en) * | 2023-10-07 | 2024-02-06 | 北京市农林科学院智能装备技术研究中心 | Watermelon maturity detection method, device, system, electronic equipment and storage medium |
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