CN103760133B - Detect method and the device of abnormal ingredient in subsidiary agricultural product - Google Patents
Detect method and the device of abnormal ingredient in subsidiary agricultural product Download PDFInfo
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Abstract
Detect a method for abnormal ingredient in subsidiary agricultural product, comprising: the infrared signal gathering agricultural byproducts sample reflection to be detected or transmission; Described infrared signal is transported near infrared spectrometer, through the near infrared spectrum data matrix of light splitting, the described agricultural byproducts sample to be detected of detection acquisition; The nonlinear iterative partial least square method in Chemical Measurement is used to carry out Principle component extraction to described near infrared spectrum data matrix; Calculate described major component data matrix and known the first mahalanobis distance not containing the major component data matrix of the agricultural byproducts sample of abnormal component; Calculate the second mahalanobis distance of the major component data matrix of described agricultural byproducts sample to be detected and the major component data matrix of the known agricultural byproducts sample containing abnormal component; Judge that whether agricultural byproducts to be detected are containing abnormal component according to described first mahalanobis distance and the second mahalanobis distance.The present invention also discloses a kind of device detecting abnormal ingredient in subsidiary agricultural product.The present invention can not destroy sample, and detection speed is fast.
Description
Technical field
The present invention relates to a kind of method detecting abnormal ingredient in subsidiary agricultural product, particularly relate to a kind of method and device of the detection abnormal ingredient in subsidiary agricultural product adopting near infrared spectrum to realize in conjunction with nonlinear iterative partial least square method.
Background technology
Food-safety problem is the focus of global concern always.In agricultural byproducts, the security incident of adulterated material initiation food relates to the scope of being injured extensively, and the social influence caused and economic loss are also very huge.So research and development can detect that the method that agricultural byproducts are adulterated and device are the targets of those skilled in the relevant art.
But traditional method is mainly by chemical reaction, such time-consuming and can sample be destroyed.
Summary of the invention
Based on this, be necessary to provide a kind of fast, the method and apparatus of Non-Destructive Testing abnormal ingredient in subsidiary agricultural product.
Detect a method for abnormal ingredient in subsidiary agricultural product, comprising:
Gather the infrared signal of agricultural byproducts sample reflection to be detected or transmission;
The infrared signal of described agricultural byproducts sample to be detected is transported near infrared spectrometer, through the near infrared spectrum data matrix of light splitting, the described agricultural byproducts sample to be detected of detection acquisition;
The nonlinear iterative partial least square method in Chemical Measurement is used to carry out Principle component extraction to the near infrared spectrum data matrix of described agricultural byproducts sample to be detected;
Calculate the major component data matrix of described agricultural byproducts sample to be detected and known the first mahalanobis distance not containing the major component data matrix of the agricultural byproducts sample of abnormal component;
Calculate the second mahalanobis distance of the major component data matrix of described agricultural byproducts sample to be detected and the major component data matrix of the known agricultural byproducts sample containing abnormal component;
Judge that whether agricultural byproducts to be detected are containing abnormal component according to described first mahalanobis distance and the second mahalanobis distance.
Wherein in an embodiment, described method also comprises the step signal of described near infrared spectrum being converted to digital signal through analog to digital converter.
Wherein in an embodiment, the mode of described light splitting is diffraction grating or Fourier transform.
Wherein in an embodiment, also comprise before the step of Principle component extraction is carried out to the near infrared spectrum data matrix use nonlinear iterative partial least square method of described agricultural byproducts sample to be detected:
Obtain the temperature and humidity of test site;
According to the temperature and humidity correction near infrared spectrum data matrix of described test site;
Wherein, described major component is 6 ~ 10 kinds of compositions that in agricultural byproducts to be measured, content is maximum.
Wherein in an embodiment, temperature and humidity correction near infrared spectrum data matrix according to described test site is specially: the spectrum peak position of difference to infrared spectrum according to scene temperature and standard temperature corrects, and composes peak size carry out linear revise according to the difference of on-the-spot humidity and standard humidity to infrared spectrum.
Temperature and humidity correction near infrared spectrum data matrix according to described test site is specially: the spectrum peak position of difference to infrared spectrum according to scene temperature and standard temperature corrects, and composes peak size carry out linear revise according to the difference of on-the-spot humidity and standard humidity to infrared spectrum.
Detect a device for abnormal ingredient in subsidiary agricultural product, comprising:
Fibre-optical probe, for gathering the infrared signal of agricultural byproducts sample reflection to be detected or transmission;
Near infrared spectrometer, for the near infrared spectrum data matrix by the infrared signal light splitting of described agricultural byproducts sample to be detected, the described agricultural byproducts sample to be detected of detection acquisition;
Main frame, for built-in chemometrics application software, and uses the nonlinear iterative partial least square method in Chemical Measurement to carry out Principle component extraction to the near infrared spectrum data matrix of described agricultural byproducts sample to be detected;
Calculate the major component data matrix of described agricultural byproducts sample to be detected and known the first mahalanobis distance not containing the major component data matrix of the agricultural byproducts sample of abnormal component;
Calculate the second mahalanobis distance of the major component data matrix of described agricultural byproducts sample to be detected and the major component data matrix of the known agricultural byproducts sample containing abnormal component;
Judge that whether agricultural byproducts to be detected are containing abnormal component according to described first mahalanobis distance and the second mahalanobis distance.
Wherein in an embodiment, described device also comprises the analog to digital converter for the signal of described near infrared spectrum being converted to digital signal.
Wherein in an embodiment, described fibre-optical probe adopts low hydroxyl optical fiber.
Wherein in an embodiment, described near infrared spectrometer adopts vulcanized lead and indium gallium arsenic detector to detect described infrared signal.
Wherein in an embodiment, described main frame is workstation computer or Mobile data processing terminal.
The method of above-mentioned detection agricultural byproducts composition only needs the infrared signal of the reflection or transmission gathering agricultural byproducts sample to be detected by fibre-optical probe then to be obtained the near infrared spectrum of described agricultural byproducts sample to be detected by near infrared spectrometer, and in conjunction with mahalanobis distance, then the near infrared spectrum data matrix major component using nonlinear iterative partial least square method to extract described agricultural byproducts sample to be detected judges whether described agricultural byproducts sample to be detected comprises abnormal component (poisonous or adulterated material).Sample can not be destroyed like this, and detection speed is fast.
Accompanying drawing explanation
Fig. 1 is the method flow diagram detecting abnormal ingredient in subsidiary agricultural product in an embodiment;
Fig. 2 is the schematic diagram adopting mahalanobis distance method to set up two class discrimination models.
Embodiment
In order to make object of the present invention, technical scheme and advantage clearly understand, below in conjunction with drawings and Examples, the present invention is further elaborated.Should be appreciated that specific embodiment described herein only in order to explain the present invention, be not intended to limit the present invention.
As shown in Figure 1, in one embodiment, provide a kind of method detecting abnormal ingredient in subsidiary agricultural product, the method comprises:
Step S110: the infrared signal gathering agricultural byproducts sample reflection to be detected or transmission.
So-called agricultural byproducts are the secondary products brought by agricultural production, comprise agriculture, woods, herd, secondary, fishing five industry product, be divided into some large classes such as grain, industrial crops, bamboo timber, iundustrial oil and paint glue, livestock product, silk cocoon silk, dry and fresh fruit, fresh and dried dish and flavouring, medicinal material, native and subsidiary products, aquatic products, each large class divides again some groups.In the present embodiment, mainly for the agricultural byproducts such as Flour product, dairy produce.
In the present embodiment, adopt low hydroxyl fibre-optical probe to gather infrared signal, the attenuation by absorption that in optical fiber, hydroxyl compound transmits near infrared signal can be reduced like this.The metering system of fibre-optical probe has reflection and transmission two kinds, reflection type optical fiber for the solid-state sample such as powder, particle, transmission-type optical-fibre needle liquid towards sample.
Step S120: the infrared signal of described agricultural byproducts sample to be detected is transported near infrared spectrometer, through the near infrared spectrum data matrix of light splitting, the described agricultural byproducts sample to be detected of detection acquisition.
Near infrared spectrometer can adopt diffraction grating and Fourier transform two kinds of forms to carry out light splitting to described infrared signal, then adopts vulcanized lead, indium gallium arsenic detector to carry out infrared signal after light splitting detecting the near infrared spectrum data matrix obtaining described agricultural byproducts sample to be detected.
In one embodiment, also comprise and convert the signal of described near infrared spectrum to be sent to main frame after digital signal step through analog to digital converter, described main frame can be workstation computer or Mobile data processing terminal etc., its built-in chemometrics application software.
Step S130: use the nonlinear iterative partial least square method in Chemical Measurement to carry out Principle component extraction to the near infrared spectrum data matrix of described agricultural byproducts sample to be detected.
Organic near-infrared absorption spectrum summit is drifted about along with temperature, and the absorption of water near infrared region is very remarkable, therefore revises very necessary near infrared spectrum data matrix according to the test result of temperature and humidity.Therefore, in the present embodiment, also comprise before step S130 and obtain the temperature and humidity of test site, temperature and humidity correction near infrared spectrum data matrix two steps according to described test site, be specially: the spectrum peak position of difference to infrared spectrum according to scene temperature and standard temperature (standard temperature is decided to be 25 DEG C) corrects, according to the difference of on-the-spot humidity and standard humidity (standard humidity is decided to be 50%RH), peak size composed to infrared spectrum and carry out linear revise.
Use nonlinear iterative partial least square method to carry out to revised near infrared spectrum data matrix the dimension that Principle component extraction can reduce matrix, improve operation efficiency.Number of principal components is fewer, and compressing data rate is higher, can reduce the complexity of computing, but number of principal components crosses that I haven't seen you for ages causes effective information to be lost, and reduces judging nicety rate.Number of principal components is more, and information representation rate is higher, but computational complexity is also higher, and too high number of principal components also can comprise the garbages such as noise.Through experiment, it is 6 ~ 10 comparatively suitable that number of principal components is chosen.
Step S140: calculate the major component data matrix of described agricultural byproducts sample to be detected and known the first mahalanobis distance not containing the major component data matrix of the agricultural byproducts sample of abnormal component.
Step S150: the second mahalanobis distance calculating the major component data matrix of described agricultural byproducts sample to be detected and the major component data matrix of the known agricultural byproducts sample containing abnormal component.
What mahalanobis distance was expressed is the correlativity of sample and object of reference, and mahalanobis distance less then explanation correlativity is larger.Typical not adulterated sample and adulterated sample (namely known not containing agricultural byproducts sample and the known agricultural byproducts sample containing abnormal component of abnormal component) is chosen as object of reference in the present embodiment, each sample can calculate the first mahalanobis distance and the second mahalanobis distance like this, namely not adulterated mahalanobis distance and adulterated mahalanobis distance.Specifically can refer to Fig. 2, the mahalanobis distance that in figure, x-axis representative is not adulterated, y represents adulterated mahalanobis distance, by not adulterated sample clustering in the top of y=x, and by the below of adulterated sample clustering in y=x.Such discrimination model has just been set up.Here the known agricultural byproducts sample not containing abnormal component adopts the disposal route the same with described agricultural byproducts sample to be detected to obtain the major component of its near infrared spectrum data matrix with the known agricultural byproducts sample containing abnormal component.
Step S160: judge that whether agricultural byproducts to be detected are containing abnormal component according to described first mahalanobis distance and the second mahalanobis distance.
If adulterated mahalanobis distance (the second mahalanobis distance, y coordinate) is less than not adulterated mahalanobis distance (the first mahalanobis distance, x coordinate), agricultural byproducts sample adulteration to be detected is described, otherwise illustrates not adulterated.
Chemical Measurement is one and sets up between the measured value of chemical system and the state of system the subject contacted by statistics or mathematical method.The nonlinear iterative partial least square method applied in the present invention is a kind of method of often application in Chemical Measurement.Propose the method according to temperature, humidity correction near infrared spectrum data in the present invention, make the nonlinear iterative partial least square method model anti-interference of foundation stronger, more can provide judged result accurately.
Detect a device for agricultural byproducts composition, comprising:
Fibre-optical probe, for gathering the infrared signal of agricultural byproducts sample reflection to be detected or transmission, described fibre-optical probe adopts low hydroxyl optical fiber.
Near infrared spectrometer, for the near infrared spectrum data matrix by the infrared signal light splitting of described agricultural byproducts sample to be detected, the described agricultural byproducts sample to be detected of detection acquisition, described near infrared spectrometer adopts vulcanized lead and indium gallium arsenic detector to detect described infrared signal.
Analog to digital converter converter, for converting described near infrared light spectrum signal to digital signal;
Main frame, for built-in Stoichiometric analysis software, and uses the nonlinear iterative partial least square method in Chemical Measurement to carry out Principle component extraction to the near infrared spectrum data matrix of described agricultural byproducts sample to be detected;
Calculate the major component data matrix of described agricultural byproducts sample to be detected and known the first mahalanobis distance not containing the major component data matrix of the agricultural byproducts sample of abnormal component;
Calculate the second mahalanobis distance of the major component data matrix of described agricultural byproducts sample to be detected and the major component data matrix of the known agricultural byproducts sample containing abnormal component;
Judge that whether agricultural byproducts to be detected are containing abnormal component according to described first mahalanobis distance and the second mahalanobis distance.
Described main frame is workstation computer or Mobile data processing terminal.
The above embodiment only have expressed several embodiment of the present invention, and it describes comparatively concrete and detailed, but therefore can not be interpreted as the restriction to the scope of the claims of the present invention.It should be pointed out that for the person of ordinary skill of the art, without departing from the inventive concept of the premise, can also make some distortion and improvement, these all belong to protection scope of the present invention.Therefore, the protection domain of patent of the present invention should be as the criterion with claims.
Claims (10)
1. detect a method for abnormal ingredient in subsidiary agricultural product, it is characterized in that, comprising:
Gather the infrared signal of agricultural byproducts sample reflection to be detected or transmission;
The infrared signal of described agricultural byproducts sample to be detected is transported near infrared spectrometer, through the near infrared spectrum data matrix of light splitting, the described agricultural byproducts sample to be detected of detection acquisition;
The nonlinear iterative partial least square method in Chemical Measurement is used to carry out Principle component extraction to the near infrared spectrum data matrix of described agricultural byproducts sample to be detected;
Calculate the major component data matrix of described agricultural byproducts sample to be detected and known the first mahalanobis distance not containing the major component data matrix of the agricultural byproducts sample of abnormal component;
Calculate the second mahalanobis distance of the major component data matrix of described agricultural byproducts sample to be detected and the major component data matrix of the known agricultural byproducts sample containing abnormal component;
Judge agricultural byproducts to be detected whether containing abnormal component according to described first mahalanobis distance and the second mahalanobis distance, and if the second mahalanobis distance is less than the first mahalanobis distance, agricultural byproducts sample adulteration to be detected is described, otherwise illustrates not adulterated.
2. the method for detection abnormal ingredient in subsidiary agricultural product according to claim 1, is characterized in that, also comprise:
The signal of described near infrared spectrum is converted to digital signal through analog to digital converter.
3. the method for detection abnormal ingredient in subsidiary agricultural product according to claim 1, is characterized in that, the mode of described light splitting is diffraction grating or Fourier transform.
4. the method for detection abnormal ingredient in subsidiary agricultural product according to claim 1, it is characterized in that, also comprise before the step of Principle component extraction is carried out to the near infrared spectrum data matrix use nonlinear iterative partial least square method of described agricultural byproducts sample to be detected:
Obtain the temperature and humidity of test site;
According to the temperature and humidity correction near infrared spectrum data matrix of described test site;
Wherein, described major component is 6 ~ 10 kinds of compositions that in agricultural byproducts to be measured, content is maximum.
5. the method for detection abnormal ingredient in subsidiary agricultural product according to claim 4, it is characterized in that, temperature and humidity correction near infrared spectrum data matrix according to described test site is specially: the spectrum peak position of difference to infrared spectrum according to scene temperature and standard temperature corrects, and composes peak size carry out linear revise according to the difference of on-the-spot humidity and standard humidity to infrared spectrum.
6. detect a device for abnormal ingredient in subsidiary agricultural product, it is characterized in that, comprising:
Fibre-optical probe, for gathering the infrared signal of agricultural byproducts sample reflection to be detected or transmission;
Near infrared spectrometer, for the near infrared spectrum data matrix by the infrared signal light splitting of described agricultural byproducts sample to be detected, the described agricultural byproducts sample to be detected of detection acquisition;
Main frame, for built-in chemometrics application software, and uses the nonlinear iterative partial least square method in Chemical Measurement to carry out Principle component extraction to the near infrared spectrum data matrix of described agricultural byproducts sample to be detected;
Calculate the major component data matrix of described agricultural byproducts sample to be detected and known the first mahalanobis distance not containing the major component data matrix of the agricultural byproducts sample of abnormal component;
Calculate the second mahalanobis distance of the major component data matrix of described agricultural byproducts sample to be detected and the major component data matrix of the known agricultural byproducts sample containing abnormal component;
Judge agricultural byproducts to be detected whether containing abnormal component according to described first mahalanobis distance and the second mahalanobis distance, and if the second mahalanobis distance is less than the first mahalanobis distance, agricultural byproducts sample adulteration to be detected is described, otherwise illustrates not adulterated.
7. the device of detection abnormal ingredient in subsidiary agricultural product according to claim 6, is characterized in that, also comprises the analog to digital converter for the signal of described near infrared spectrum being converted to digital signal.
8. the device of detection agricultural byproducts composition according to claim 6, is characterized in that, described fibre-optical probe adopts low hydroxyl optical fiber.
9. the device of detection agricultural byproducts composition according to claim 6, is characterized in that, described near infrared spectrometer adopts vulcanized lead and indium gallium arsenic detector to detect described infrared signal.
10. the device of detection agricultural byproducts composition according to claim 6, is characterized in that, described main frame is workstation computer or Mobile data processing terminal.
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| CN106197697A (en) * | 2016-08-16 | 2016-12-07 | 中国肉类食品综合研究中心 | A kind of temperature-detecting device |
| CN106442574B (en) * | 2016-08-31 | 2019-05-28 | 上海创和亿电子科技发展有限公司 | A kind of product mildew detection system and detection method based on microwave moisture instrument |
| JP6762927B2 (en) * | 2017-12-19 | 2020-09-30 | 株式会社日立ハイテク | Signal processing device and signal processing method |
| CN110059679B (en) * | 2019-04-22 | 2020-11-24 | 中国农业大学 | Near-infrared image-based non-target detection method for pollutants in feed raw materials |
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