CN107991337A - It is a kind of to be suitable for the drying low-field nuclear magnetic resonance Non-Destructive Testing line with shell fruit - Google Patents
It is a kind of to be suitable for the drying low-field nuclear magnetic resonance Non-Destructive Testing line with shell fruit Download PDFInfo
- Publication number
- CN107991337A CN107991337A CN201711307888.3A CN201711307888A CN107991337A CN 107991337 A CN107991337 A CN 107991337A CN 201711307888 A CN201711307888 A CN 201711307888A CN 107991337 A CN107991337 A CN 107991337A
- Authority
- CN
- China
- Prior art keywords
- drying
- shell fruit
- magnetic resonance
- nuclear magnetic
- low
- 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.)
- Pending
Links
Classifications
-
- G—PHYSICS
- G01—MEASURING; TESTING
- G01N—INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
- G01N24/00—Investigating or analyzing materials by the use of nuclear magnetic resonance, electron paramagnetic resonance or other spin effects
- G01N24/08—Investigating or analyzing materials by the use of nuclear magnetic resonance, electron paramagnetic resonance or other spin effects by using nuclear magnetic resonance
Landscapes
- Physics & Mathematics (AREA)
- High Energy & Nuclear Physics (AREA)
- Health & Medical Sciences (AREA)
- Life Sciences & Earth Sciences (AREA)
- Chemical & Material Sciences (AREA)
- Analytical Chemistry (AREA)
- Biochemistry (AREA)
- General Health & Medical Sciences (AREA)
- General Physics & Mathematics (AREA)
- Immunology (AREA)
- Pathology (AREA)
- Adjustment And Processing Of Grains (AREA)
- Drying Of Solid Materials (AREA)
Abstract
It is suitable for the drying low-field nuclear magnetic resonance Non-Destructive Testing line with shell fruit the invention discloses a kind of.It is drying in the prior art go mouldy with shell fruit, the detection method that worm becomes is typically to remove sample pericarp after random sampling to be screened, there is no Non-Destructive Testing scheme.The present invention integrates low-field nuclear magnetic resonance equipment and the drying transmitting device with shell fruit, it can be achieved that the drying mass Non-Destructive Testing with shell fruit of censorship.Principal component analysis is carried out to existing sample data, draws scatter diagram, fine or not seed region division is carried out and absorbing boundary equation calculates, obtain suitable mathematical model, so as to improve production line sample data analysis speed.In detection process, utilize the drying transverse magnetisation semaphore with shell fruit of low-field nuclear magnetic resonance technology for detection, again by way of the mathematical model with structure is compared, quickly obtain and drying can reach more than 85% with the good seed of shell fruit, mould seed and the quality condition damaged by worms, its accuracy rate.
Description
Technical field
The present invention is a kind of to be suitable for the drying low-field nuclear magnetic resonance Non-Destructive Testing line with shell fruit, and in particular to using low
Field nuclear magnetic resonance technology realizes that the drying mould worm with shell fruit pulp becomes detection, belongs to the quick nondestructive analysis field of food.
Background technology
Drying fruit is the food processing product that water content is relatively low prepared by passing through dewatering drying using fresh fruit,
During storage, because of the influence of the factors such as environment and storage time, easily occur pulp go mouldy and worm becomes, particularly longan,
The band shell fruit such as lichee, can not distinguish the difference of bad seed and good seed, so as to cause manufacturer in retail packaging in appearance
During mould seed and worm seed have been mixed among seed, have impact on the edible impression of consumer.In the prior art, realize that dry longan is mould
Become, after the detection method that worm becomes is typically random sampling, first remove sample pericarp, observe the brown of pulp state and pericarp inner surface
Variable area, there is no the effective scheme of Non-Destructive Testing.
Low-field nuclear magnetic resonance technology for detection need not be pre-processed with it, quick, lossless, sample requirement is few, obtains number in real time
According to the features such as, obtained certain research and application in field of food science, included：To food moisture content, oil content,
The content measuring of fat etc., such as existing patent document CN106546620A（Crab oil in a kind of harmless quantitative detection Eriocheir sinensis
The method of content, 2017.03.29）, existing patent document CN105954309A（A kind of Fast nondestructive evaluation abalone is drying and multiple
The method of water process moisture, 20160921）Deng；Food Adulteration detection, such as existing patent document CN102901744A（It is a kind of
The detection method of authenticity of peanut oil, 2013.01.30）Deng；Application field is relatively broad to be also had to food fresh keeping, refrigeration, product
The qualitative test of situations such as matter, moisture distribution, such as：Existing patent document CN106018452A（One kind is based on nuclear magnetic resonance technique
Peanut varieties lossless detection method, 2016.10.12）It is disclosed a kind of quickly, efficiently to identify the lossless of peanut sample qualities
Detection method, different peanut varieties are presented in terms of the indexs such as oil content, moisture content removes different states, which passes through
The correlation of oil content or moisture content and spin spinrelaxation is established, the spin spinrelaxation T2 measured by low field nuclear-magnetism technology
To predict peanut varieties.Its detecting step includes：S1, carry out the peanut sample by CPMG sequence nuclear magnetic resonance horizontal stroke respectively
To after relaxation scanning, mass normalisation, spectrum of horizontal duration is handled to obtain with one-dimensional anti-Laplacian algorithm described
The semaphore of peanut sample unit mass, and draw and obtain semaphore-spin spinrelaxation of peanut sample（T2）Curve, it is above-mentioned
During, peanut sample is used as using peanut grain, it is not necessary to which any processing, measures the nuclear magnetic resonance parameter of peanut sample, including FID
Sequential parameter and CPMG sequence parameter；S2, be used as the factor, progress principal component analysis by the use of CPMG sequence peak dot data, and extraction is led
Component PC1, PC2, PC3 simultaneously make three-dimensional scatter diagram, i.e., the principal component of each peanut sample disperses point diagram；S3, take some unknown product
Cultivate peanut and sample is made, it is horizontal to carry out nuclear magnetic resonance to the unknown kind peanut sample using the CPMG sequence identical with step S1
Scanned to relaxation, take the CPMG sequence peak dot data measured to carry out principal component analysis, each peanut sample made from control step S2
Principal component disperse point diagram, determine the kind of the unknown kind peanut sample.
Based on the above situation it is recognised that low-field nuclear magnetic resonance technology is can be by relaxation in Hydrogen Proton nuclear magnetic resoance spectrum
The measure of time, describes the motion conditions of material and its existing state, so as to reflect in a manner of Fast nondestructive evaluation
The distribution of chemical composition and with reference to situation in food.To make existing manufacturer to differentiate in retail packaging with quick nondestructive
Bad drying band shell fruit, improves product quality, it is contemplated that establishing the Non-Destructive Testing line of suitable industrialized mass production, utilizes
Low-field nuclear magnetic resonance technology becomes situation to the drying mould worm with shell fruit and carries out quick, Non-Destructive Testing.
The content of the invention
It is insufficient existing for existing drying band shell fruit detection process to make up, as removed pericarp again after dry longan random sampling
Discriminated otherwise, be suitable for the drying low-field nuclear magnetic resonance Non-Destructive Testing line with shell fruit the present invention provides a kind of, should
Non-Destructive Testing line is by setting low-field nuclear magnetic resonance equipment, it can be achieved that the drying mass Non-Destructive Testing with shell fruit of censorship.Inspection
During survey, using the drying transverse magnetisation semaphore with shell fruit of low-field nuclear magnetic resonance technology for detection, then by with structure
The mode that the mathematical model built is compared, quickly obtains drying with the good seed of shell fruit, mould seed and the quality condition damaged by worms, its standard
True rate can reach 85 more than %.
The present invention is achieved through the following technical solutions：It is a kind of to be suitable for the drying lossless inspection of the low-field nuclear magnetic resonance with shell fruit
Survey line, send the drying band shell fruit for arranging granulating into low-field nuclear magnetic resonance equipment in batches, and detection letter is obtained by CPMG sequence
Breath, the transverse magnetisation semaphore acquired is followed the steps below：
（1.0）Mass normalisation processing is carried out, obtains the sample signal amount of unit mass；
（1.1）Achievement data standardization is carried out to the sample signal amount of unit mass, uses covariance matrix or related coefficient square
Battle array is analyzed；
（1.2）By principal component analysis, at least two principal components PC1, PC2 are extracted, are obtained by the linear combination to principal component
Final assessed value；
（1.3）Final assessed value is compared with the mathematical model established, analysis obtains the drying quality information with shell fruit.
Low-field nuclear magnetic resonance equipment is re-fed into after the drying collated granulating of band shell fruit.
It is described it is drying with shell fruit every batch of be sent into low-field nuclear magnetic resonance equipment quantity for it is single or with subsequent packages number
Measure equal.
Set the low-field nuclear magnetic resonance equipment signal acquisition time with shell fruit drying to every batch of as 100~
300ms。
The parameter area of the CPMG sequence is：
SFO1 (MHz)=18~23, P90 (us)=1~10, P180 (us)=2~20, SW (KHz)=50~200, TW (ms)=100
~5000, TE (ms)=0.1~0.3, RG1=1~20, DRG1=1~3, PRG=1~3, NECH=1000~5000, NS=6~64.
The mathematical model is established to obtain by following steps：
（2.0）Some drying transverse magnetisation semaphores with shell fruit sample are obtained, mass normalisation processing is carried out, obtains
The sample signal amount of unit mass；
（2.1）Achievement data standardization is carried out to the sample signal amount of unit mass, uses covariance matrix or related coefficient square
Battle array is analyzed；
（2.2）By principal component analysis, at least two principal components PC1, PC2 are extracted, draw scatter diagram；
（2.3）According to the distribution characteristics of scatter diagram be calculated seed, bad seed correspondence assessed value separation curve, for it is dry
The final assessed value obtained with shell fruit censorship is made to be compared.
During the mathematical model is established, the amendment step to mathematical model is further included：
（2.4）Utilize step（2.2）At least two obtained principal components PC1, PC2, are obtained by the linear combination to principal component
The drying assessed value with shell fruit sample, which is compared with the truth for inspection of peeling off, and is tied according to comparing
Fruit is modified mathematical model.
The step（1.3）In, after analysis obtains the drying quality information with shell fruit, by acquisition without quality problems
Drying band shell fruit censorship batch be sent into subsequent packages process；By the drying band shell fruit censorship there are quality problems of acquisition
Batch is fed again into low-field nuclear magnetic resonance equipment, and is handled by single drying band shell fruit censorship mode.
Drive drying band shell fruit to be sent into low-field nuclear magnetic resonance equipment using transport mechanism, and connect subsequent packages process,
Returning charge passage is set in transport mechanism.
Compared with prior art, the present invention haing the following advantages and beneficial effect：
（1）The present invention is detected the drying quality with shell fruit using low-field nuclear magnetic resonance technology, compared to present market
Carry out peeling off after the random sampling of upper use observation method for, can accomplish without complicated pretreatment, quick, lossless, real-time
The advantages that obtaining data and high recall rate.When actually detected, accuracy rate can reach more than 85%.
（2）The present invention is led to during being detected using low-field nuclear magnetic resonance equipment to the drying band shell fruit of censorship
Cross set the parameter area of CPMG sequence as SFO1 (MHz)=18.179, P90 (us)=5.6, P180 (us)=10.8, SW (KHz)=
100, TW (ms)=900, TE (ms)=0.15, RG1=20, DRG1=3, PRG=3, NECH=3000, NS=16 obtain cross magnetization
Strength signal amount is handled again, during practical operation, only can complete a drying processing with shell fruit with 500 milliseconds, can
Realize the drying quick detection with shell fruit of high-volume.
（3）The present invention by censorship it is drying with shell fruit sample obtain different time points transverse magnetisation semaphore,
By the analysis and processing of mass data, suitable mathematical model is established, the interference of extraneous data can not only be excluded, improves prediction
As a result accuracy, moreover it is possible to simplify the analysis with shell fruit data drying to censorship., only need to be to new censorship after mathematical model is established
The Principal component of product, such as PC1, PC2, PC3 are calculated, by gained assessed value compared with a reference value or scatter diagram,
It can determine that the quality of censorship product, the precision and efficiency that improve the detection of censorship product quality of high degree.
（4）The present invention by establishing specific mathematical model, first, during model foundation, principal component analysis it
Preceding to use data prediction, i.e. SIRT Inversion Calculations, the algorithm is simple, and software program is easily realized, is not required in data handling procedure
Want user intervention, it is not required that user pre-sets the back stepping control parameter of many complexity, so that caused by reducing human factor
Inversion error, iterative calculation convergence is fast, has the characteristics that global optimum；Secondly, the final of the mathematical model of the invention established is in
Existing form is not only intuitively scatter diagram, but using the curvilinear equation of region division as final sample survey standard, can be with
It is directly whether up to standard according to the algebraically result judgement sample quality of calculating.
（5）The present invention has abandoned the detection method for the observation that carries out after existing random sampling peeling off,（Drying band shell fruit
's）In production process, by the way of detection process and analytic process are combined, on the one hand need to low-field nuclear magnetic resonance equipment
Transformed, can be set up on production conveyor, detection is realized with production and integrate；On the other hand set, it is necessary to detect
It is standby to be equipped with corresponding analysis software, it can be analyzed in real time according to the mathematical model established after making acquisition data, so as to reach
To the purpose for improving whole production line work efficiency.
（6）The achievable product quality detection of the present invention and the abundant combination of subsequent packages production process.By repairing before detection
Branch is built, drying band shell fruit arrangement to be checked is single granular, nuclear-magnetism testing requirements are not only met, also meet follow-up finished product
Packing instructions.During censorship, transport mechanism can be used, such as conveyer belt, conveying roller send sample to low-field nuclear magnetic resonance equipment,
It is easy to operate for production line, the excessive amount of labour will not be increased；, can be by the drying band shell water needed for finished product packing amount during censorship
Fruit divides one group into and unifies censorship, and of problems group can reject bad seed after single censorship, supply quantity and unify censorship again；It is full
The group of sufficient quality requirements can directly carry out subsequent packages work, improve detection and production effect at the same time in the case where ensureing recall rate
Rate.
Brief description of the drawings
Fig. 1 is the scatterplot that the present invention carries out 97 longan samples to draw after low-field nuclear magnetic resonance detection data analysis
Figure.
In Fig. 1, empty circles have represented seed, and solid circles represent bad seed.
Embodiment
The present invention is described in further detail with reference to embodiment, but the implementation of the present invention is not limited to this.
Embodiment 1：
The present embodiment propose it is a kind of be suitable for the drying low-field nuclear magnetic resonance Non-Destructive Testing line with shell fruit, which can be real
Existing drying Non-Destructive Testing and quality analysis with shell fruit in process of production, realize it is drying with shell fruit from production to packaging
Automatic high-efficiency produces.Specific production process is as follows：
（1）Drying band shell fruit made from production is organized into individual particle；
（2）Will arrange granulating drying band shell fruit be sent into low-field nuclear magnetic resonance Non-Destructive Testing line, by low-field nuclear magnetic resonance without
The transport mechanism of damage detection line is sent into the low-field nuclear magnetic resonance equipment of low-field nuclear magnetic resonance Non-Destructive Testing line in batches；
（3）Low-field nuclear magnetic resonance equipment obtains detection information, the transverse magnetisation semaphore that will be acquired by CPMG sequence
Follow the steps below again：
（3.0）Mass normalisation processing is carried out, obtains the sample signal amount of unit mass；
（3.1）Achievement data standardization is carried out to the sample signal amount of unit mass, uses covariance matrix or related coefficient square
Battle array is analyzed；
（3.2）By principal component analysis, two principal components PC1, PC2 are extracted, are obtained finally by the linear combination to principal component
Assessed value；
（3.3）Final assessed value is compared with the mathematical model established, analysis obtains drying with shell fruit good seed, bad seed
Quality information.
（4）The transport mechanism of low-field nuclear magnetic resonance Non-Destructive Testing line is by the drying band shell fruit without quality problems of acquisition
Censorship batch is sent into subsequent packages process；The drying band shell fruit censorship batch there are quality problems of acquisition is fed again into low
Field nuclear magnetic resonance equipment, and handled by single drying band shell fruit censorship mode.
In the present embodiment, the step of establishing censorship drying mathematical model with shell fruit, is as follows：
（a）Some drying transverse magnetisation semaphores with shell fruit sample are obtained, mass normalisation processing is carried out, obtains list
The sample signal amount of position quality；
（b）Achievement data standardization is carried out to the sample signal amount of unit mass, uses covariance matrix or correlation matrix
Analyzed；
（c）By principal component analysis, two principal components PC1, PC2 are extracted, draw scatter diagram；
（d）According to the distribution characteristics of scatter diagram be calculated seed, bad seed correspondence assessed value separation curve, for it is drying
The final assessed value obtained with shell fruit censorship is compared;
（e）Utilize step（c）Two obtained principal components PC1, PC2, drying band shell is obtained by the linear combination to principal component
The assessed value of fruit sample, which is compared with the truth for inspection of peeling off, and according to comparison result to mathematics
Model is modified.
Embodiment 2：
The present embodiment propose it is a kind of be suitable for the drying low-field nuclear magnetic resonance Non-Destructive Testing line with shell fruit, which can be real
Existing drying Non-Destructive Testing and quality analysis with shell fruit in process of production, realize it is drying with shell fruit from production to packaging
Automatic high-efficiency produces.Specific production process is as follows：
（1）Drying band shell fruit made from production is organized into individual particle；
（2）Will arrange granulating drying band shell fruit be sent into low-field nuclear magnetic resonance Non-Destructive Testing line, by low-field nuclear magnetic resonance without
Damage the transport mechanism of detection line in batches（The amounts of particles of every batch of is equal with subsequently into the amounts of particles of bag packaging）It is sent into low
The low-field nuclear magnetic resonance equipment of field nuclear magnetic resonance Non-Destructive Testing line, controlling every batch of drying, the signal acquisition time with shell fruit is
100ms；
（3）Low-field nuclear magnetic resonance equipment obtains detection information by following CPMG sequence,
SFO1 (MHz)=18, P90 (us)=1, P180 (us)=2, SW (KHz)=50, TW (ms)=100, TE (ms)=0.1, RG1=
1, DRG1=1, PRG=1, NECH=1000, NS=6,
The transverse magnetisation semaphore acquired is followed the steps below again：
（3.0）Mass normalisation processing is carried out, obtains the sample signal amount of unit mass；
（3.1）Achievement data standardization is carried out to the sample signal amount of unit mass, uses covariance matrix or related coefficient square
Battle array is analyzed；
（3.2）By principal component analysis, three principal components PC1, PC2, PC3 are extracted, are obtained by the linear combination to principal component
Final assessed value；
（3.3）By final assessed value with establish mathematical model be compared, analysis obtain the good seed of drying band shell fruit, worm seed with
And the quality information of mould seed.
（4）The transport mechanism of low-field nuclear magnetic resonance Non-Destructive Testing line is by the drying band shell fruit without quality problems of acquisition
Censorship batch is sent into subsequent packages process；The drying band shell fruit censorship batch there are quality problems of acquisition is fed again into low
Field nuclear magnetic resonance equipment, and handled by single drying band shell fruit censorship mode.
In the present embodiment, the step of establishing censorship drying mathematical model with shell fruit, is as follows：
（a）The drying transverse magnetisation semaphore with shell fruit sample of some censorships is obtained, mass normalisation processing is carried out, obtains
To the sample signal amount of unit mass；
（b）Achievement data standardization is carried out to the sample signal amount of unit mass, uses covariance matrix or correlation matrix
Analyzed；
（c）By principal component analysis, three principal components PC1, PC2, PC3 are extracted, draw scatter diagram；
（d）According to the distribution characteristics of scatter diagram be calculated seed, worm seed, mould seed correspondence assessed value separation curve, be used for
Compared with the drying final assessed value obtained with shell fruit censorship;
（e）Utilize step（c）Three obtained principal components PC1, PC2, PC3, are obtained drying by the linear combination to principal component
Assessed value with shell fruit sample, which is compared with the truth for inspection of peeling off, and according to comparison result pair
Mathematical model is modified.
Embodiment 3：
The present embodiment propose it is a kind of be suitable for the drying low-field nuclear magnetic resonance Non-Destructive Testing line with shell fruit, which can be real
Existing drying Non-Destructive Testing and quality analysis with shell fruit in process of production, realize it is drying with shell fruit from production to packaging
Automatic high-efficiency produces.Specific production process is as follows：
（1）Drying band shell fruit made from production is organized into individual particle；
（2）Will arrange granulating drying band shell fruit be sent into low-field nuclear magnetic resonance Non-Destructive Testing line, by low-field nuclear magnetic resonance without
Damage the transport mechanism of detection line in batches（The amounts of particles of every batch of is equal with subsequently into the amounts of particles of bag packaging）It is sent into low
The low-field nuclear magnetic resonance equipment of field nuclear magnetic resonance Non-Destructive Testing line, controlling every batch of drying, the signal acquisition time with shell fruit is
300ms；
（3）Low-field nuclear magnetic resonance equipment obtains detection information by following CPMG sequence,
SFO1 (MHz)=23, P90 (us)=10, P180 (us)=20, SW (KHz)=200, TW (ms)=5000, TE (ms)=0.3,
RG1=20, DRG1=3, PRG=3, NECH=5000, NS=64,
The transverse magnetisation semaphore acquired is followed the steps below again：
（3.0）Mass normalisation processing is carried out, obtains the sample signal amount of unit mass；
（3.1）Achievement data standardization is carried out to the sample signal amount of unit mass, uses covariance matrix or related coefficient square
Battle array is analyzed；
（3.2）By principal component analysis, two principal components PC1, PC2 are extracted, are obtained finally by the linear combination to principal component
Assessed value；
（3.3）Final assessed value is compared with the mathematical model established, analysis obtains drying with shell fruit good seed, bad seed
Quality information.
（4）The transport mechanism of low-field nuclear magnetic resonance Non-Destructive Testing line is by the drying band shell fruit without quality problems of acquisition
Censorship batch is sent into subsequent packages process；The drying band shell fruit censorship batch there are quality problems of acquisition is fed again into low
Field nuclear magnetic resonance equipment, and handled by single drying band shell fruit censorship mode.
In the present embodiment, the step of establishing censorship drying mathematical model with shell fruit, is as follows：
（a）The drying transverse magnetisation semaphore with shell fruit sample of some censorships is obtained, mass normalisation processing is carried out, obtains
To the sample signal amount of unit mass；
（b）Achievement data standardization is carried out to the sample signal amount of unit mass, uses covariance matrix or correlation matrix
Analyzed；
（c）By principal component analysis, two principal components PC1, PC2 are extracted, draw scatter diagram；
（d）According to the distribution characteristics of scatter diagram be calculated seed, bad seed correspondence assessed value separation curve, for it is drying
The final assessed value obtained with shell fruit censorship is compared;
（e）Utilize step（c）Two obtained principal components PC1, PC2, drying band shell is obtained by the linear combination to principal component
The assessed value of fruit sample, which is compared with the truth for inspection of peeling off, and according to comparison result to mathematics
Model is modified.
Embodiment 4：
The present embodiment propose it is a kind of be suitable for the drying low-field nuclear magnetic resonance Non-Destructive Testing line with shell fruit, which can be real
Existing drying Non-Destructive Testing and quality analysis with shell fruit in process of production, realize it is drying with shell fruit from production to packaging
Automatic high-efficiency produces.Specific production process is as follows：
（1）Drying band shell fruit made from production is organized into individual particle；
（2）Will arrange granulating drying band shell fruit be sent into low-field nuclear magnetic resonance Non-Destructive Testing line, by low-field nuclear magnetic resonance without
Damage the transport mechanism of detection line in batches（The amounts of particles of every batch of is equal with subsequently into the amounts of particles of bag packaging）It is sent into low
The low-field nuclear magnetic resonance equipment of field nuclear magnetic resonance Non-Destructive Testing line, controlling every batch of drying, the signal acquisition time with shell fruit is
200ms；
（3）Low-field nuclear magnetic resonance equipment obtains detection information by following CPMG sequence,
SFO1 (MHz)=20, P90 (us)=8, P180 (us)=11, SW (KHz)=150, TW (ms)=1000, TE (ms)=0.2,
RG1=15, DRG1=2, PRG=2, NECH=2000, NS=55,
The transverse magnetisation semaphore acquired is followed the steps below again：
（3.0）Mass normalisation processing is carried out, obtains the sample signal amount of unit mass；
（3.1）Achievement data standardization is carried out to the sample signal amount of unit mass, uses covariance matrix or related coefficient square
Battle array is analyzed；
（3.2）By principal component analysis, two principal components PC1, PC2 are extracted, are obtained finally by the linear combination to principal component
Assessed value；
（3.3）Final assessed value is compared with the mathematical model established, analysis obtains drying with shell fruit good seed, bad seed
Quality information.
（4）The transport mechanism of low-field nuclear magnetic resonance Non-Destructive Testing line is by the drying band shell fruit without quality problems of acquisition
Censorship batch is sent into subsequent packages process；The drying band shell fruit censorship batch there are quality problems of acquisition is fed again into low
Field nuclear magnetic resonance equipment, and handled by single drying band shell fruit censorship mode.
In the present embodiment, the step of establishing censorship drying mathematical model with shell fruit, is as follows：
（a）The drying transverse magnetisation semaphore with shell fruit sample of some censorships is obtained, mass normalisation processing is carried out, obtains
To the sample signal amount of unit mass；
（b）Achievement data standardization is carried out to the sample signal amount of unit mass, uses covariance matrix or correlation matrix
Analyzed；
（c）By principal component analysis, two principal components PC1, PC2 are extracted, draw scatter diagram；
（d）According to the distribution characteristics of scatter diagram be calculated seed, bad seed correspondence assessed value separation curve, for it is drying
The final assessed value obtained with shell fruit censorship is compared;
（e）Utilize step（c）Two obtained principal components PC1, PC2, drying band shell is obtained by the linear combination to principal component
The assessed value of fruit sample, which is compared with the truth for inspection of peeling off, and according to comparison result to mathematics
Model is modified.
Embodiment 5：
The present embodiment propose it is a kind of be suitable for the drying low-field nuclear magnetic resonance Non-Destructive Testing line with shell fruit, which can be real
Existing drying Non-Destructive Testing and quality analysis with shell fruit in process of production, realize it is drying with shell fruit from production to packaging
Automatic high-efficiency produces.Specific production process is as follows：
（1）Drying band shell fruit made from production is organized into individual particle；
（2）Will arrange granulating drying band shell fruit be sent into low-field nuclear magnetic resonance Non-Destructive Testing line, by low-field nuclear magnetic resonance without
Damage the transport mechanism of detection line in batches（The amounts of particles of every batch of is equal with subsequently into the amounts of particles of bag packaging）It is sent into low
The low-field nuclear magnetic resonance equipment of field nuclear magnetic resonance Non-Destructive Testing line, controlling every batch of drying, the signal acquisition time with shell fruit is
100ms；
（3）Low-field nuclear magnetic resonance equipment obtains detection information by following CPMG sequence,
SFO1 (MHz)=22, P90 (us)=6, P180 (us)=8, SW (KHz)=100, TW (ms)=500, TE (ms)=0.3, RG1=
15, DRG1=3, PRG=1, NECH=1000, NS=35,
The transverse magnetisation semaphore acquired is followed the steps below again：
（3.0）Mass normalisation processing is carried out, obtains the sample signal amount of unit mass；
（3.1）Achievement data standardization is carried out to the sample signal amount of unit mass, uses covariance matrix or related coefficient square
Battle array is analyzed；
（3.2）By principal component analysis, three principal components PC1, PC2, PC3 are extracted, are obtained by the linear combination to principal component
Final assessed value；
（3.3）By final assessed value with establish mathematical model be compared, analysis obtain the good seed of drying band shell fruit, worm seed with
And the quality information of mould seed.
（4）The transport mechanism of low-field nuclear magnetic resonance Non-Destructive Testing line is by the drying band shell fruit without quality problems of acquisition
Censorship batch is sent into subsequent packages process；The drying band shell fruit censorship batch there are quality problems of acquisition is fed again into low
Field nuclear magnetic resonance equipment, and handled by single drying band shell fruit censorship mode.
In the present embodiment, the step of establishing censorship drying mathematical model with shell fruit, is as follows：
（a）The drying transverse magnetisation semaphore with shell fruit sample of some censorships is obtained, mass normalisation processing is carried out, obtains
To the sample signal amount of unit mass；
（b）Achievement data standardization is carried out to the sample signal amount of unit mass, uses covariance matrix or correlation matrix
Analyzed；
（c）By principal component analysis, three principal components PC1, PC2, PC3 are extracted, draw scatter diagram；
（d）According to the distribution characteristics of scatter diagram be calculated seed, worm seed, mould seed correspondence assessed value separation curve, be used for
Compared with the drying final assessed value obtained with shell fruit censorship;
（e）Utilize step（c）Three obtained principal components PC1, PC2, PC3, are obtained drying by the linear combination to principal component
Assessed value with shell fruit sample, which is compared with the truth for inspection of peeling off, and according to comparison result pair
Mathematical model is modified.
Embodiment 6：
The present embodiment is related to the low-field nuclear magnetic resonance Non-Destructive Testing line of dry longan.
Dry 97, the longan sample of censorship, the low-field nuclear magnetic resonance equipment founding mathematical models utilized, after being easy to are gathered first
The Non-Destructive Testing and quality analysis that continuous low-field nuclear magnetic resonance Non-Destructive Testing line carries out the dry longan of production gained.In the present embodiment,
The process for establishing the dry longan mathematical model of censorship is as follows：
Dry 97, longan sample is sent into low-field nuclear magnetic resonance equipment one by one to be detected, using CPMG sequence（SFO1(MHz)=
22, P90 (us)=6, P180 (us)=12, SW (KHz)=150, TW (ms)=500, TE (ms)=0.1, RG1=5, DRG1=3, PRG=
2, NECH=5000, NS=44）97 dry longan samples are obtained in the transverse magnetisation semaphore of 0 ~ 300ms, are become according to signal
Change feature, takes the peak dot signal value conduct analysis object of 100ms before each longan, carries out data analysis with R language, specifically such as
Under：
（1）Data prediction
The use of model is Multiple-Index Model by taking T2 invertings as an example：
Write as matrix form：
The implication of wherein parameters is as follows：D --- measurement data, t --- sampling time, T2 --- lateral relaxation time.
（2）Principal component analysis：
1. principal component analysis is carried out,
student.pr <- princomp (data, cor=T),
2. the details of principal component analysis is observed,
Summary (student.pr, loadings=T),
3. the data of each sample principal component are calculated,
pca_data <- predict (student.pr),
4. selection standard difference is more than 1 two principal component Comp.1（s=3.6495317）And Comp.2（s=2.7423473）, tire out
It is 0.9472523 to count contribution rate.
（3）Scatter diagram is drawn, and calculates each sample characteristic value, using Comp.1 as abscissa, Comp.2 as ordinate,
The characteristic value scatter diagram of longan sample is drawn, as shown in Figure 1, determine whether obvious region division,
> plot(pca_data[1:50,1:2], col=" green "),
> points(pca_data[51:96,1:2],col="red")。
The distribution characteristics of scatter diagram according to Fig. 1 be calculated seed, bad seed correspondence assessed value separation curve, use
In compared with the drying final assessed value obtained with shell fruit censorship.In addition, two obtained using principal component analysis
A principal component PC1, PC2, obtains the drying assessed value with shell fruit sample, by the assessed value by the linear combination to principal component
With the truth for inspection of peeling off（97, the dry longan sample of above-mentioned censorship is by inspection result of peeling off, wherein good seed 50, bad
Seed 47）It is compared, and mathematical model is modified according to comparison result.
The above-mentioned mathematical model finally obtained is used for the low-field nuclear magnetic resonance Non-Destructive Testing line of dry longan, was specifically produced
Journey is as follows：
（1）Drying band shell fruit made from production is organized into individual particle；
（2）Will arrange granulating drying band shell fruit be sent into low-field nuclear magnetic resonance Non-Destructive Testing line, by low-field nuclear magnetic resonance without
Damage the transport mechanism of detection line in batches（The amounts of particles of every batch of is equal with subsequently into the amounts of particles of bag packaging）It is sent into low
The low-field nuclear magnetic resonance equipment of field nuclear magnetic resonance Non-Destructive Testing line, controlling every batch of drying, the signal acquisition time with shell fruit is
100~300ms；
（3）Low-field nuclear magnetic resonance equipment obtains detection information by following CPMG sequence,
SFO1 (MHz)=22, P90 (us)=6, P180 (us)=12, SW (KHz)=150, TW (ms)=500, TE (ms)=0.1, RG1=
5, DRG1=3, PRG=2, NECH=5000, NS=44,
The transverse magnetisation semaphore acquired is followed the steps below again：
（3.0）Mass normalisation processing is carried out, obtains the sample signal amount of unit mass；
（3.1）Achievement data standardization is carried out to the sample signal amount of unit mass, uses covariance matrix or related coefficient square
Battle array is analyzed；
（3.2）By principal component analysis, two principal components PC1, PC2 are extracted, are obtained finally by the linear combination to principal component
Assessed value；
（3.3）Final assessed value is compared with the mathematical model established, analysis obtains the drying quality information with shell fruit.
（4）The transport mechanism of low-field nuclear magnetic resonance Non-Destructive Testing line is by the drying band shell fruit without quality problems of acquisition
Censorship batch is sent into subsequent packages process；The drying band shell fruit censorship batch there are quality problems of acquisition is fed again into low
Field nuclear magnetic resonance equipment, again during censorship, is handled by single drying band shell fruit censorship mode.
The low-field nuclear magnetic resonance unit type used in above-described embodiment 1~6 is PQ001, and Suzhou knob, which steps electronics technology, to be had
Limit company produces, and 18.18 MHz of resonant frequency, coil diameter 25mm, magnet temperature is 32 DEG C.
The above, is only presently preferred embodiments of the present invention, not does limitation in any form to the present invention, it is every according to
Any simply modification, the equivalent variations made according to the technical spirit of the present invention to above example, each fall within the protection of the present invention
Within the scope of.
Claims (9)
1. a kind of be suitable for the drying low-field nuclear magnetic resonance Non-Destructive Testing line with shell fruit, it is characterised in that：Granulating will be arranged
Drying band shell fruit is sent into low-field nuclear magnetic resonance equipment in batches, and detection information, the horizontal stroke that will be acquired are obtained by CPMG sequence
Followed the steps below to magnetization signal amount：
（1.0）Mass normalisation processing is carried out, obtains the sample signal amount of unit mass；
（1.1）Achievement data standardization is carried out to the sample signal amount of unit mass, uses covariance matrix or related coefficient square
Battle array is analyzed；
（1.2）By principal component analysis, at least two principal components PC1, PC2 are extracted, are obtained by the linear combination to principal component
Final assessed value；
（1.3）Final assessed value is compared with the mathematical model established, analysis obtains the drying quality information with shell fruit.
2. it is according to claim 1 it is a kind of be suitable for the drying low-field nuclear magnetic resonance Non-Destructive Testing line with shell fruit, it is special
Sign is：Low-field nuclear magnetic resonance equipment is re-fed into after the drying collated granulating of band shell fruit.
3. it is according to claim 1 it is a kind of be suitable for the drying low-field nuclear magnetic resonance Non-Destructive Testing line with shell fruit, it is special
Sign is：It is described it is drying with shell fruit every batch of be sent into low-field nuclear magnetic resonance equipment quantity for it is single or with subsequent packages quantity
It is equal.
4. it is according to claim 1 it is a kind of be suitable for the drying low-field nuclear magnetic resonance Non-Destructive Testing line with shell fruit, it is special
Sign is：Set the low-field nuclear magnetic resonance equipment signal acquisition time with shell fruit drying to every batch of as 100~
300ms。
5. it is according to claim 1 it is a kind of be suitable for the drying low-field nuclear magnetic resonance Non-Destructive Testing line with shell fruit, it is special
Sign is：The parameter area of the CPMG sequence is：
SFO1 (MHz)=18~23, P90 (us)=1~10, P180 (us)=2~20, SW (KHz)=50~200, TW (ms)=100
~5000, TE (ms)=0.1~0.3, RG1=1~20, DRG1=1~3, PRG=1~3, NECH=1000~5000, NS=6~64.
6. it is according to claim 1 it is a kind of be suitable for the drying low-field nuclear magnetic resonance Non-Destructive Testing line with shell fruit, it is special
Sign is：The mathematical model is established to obtain by following steps：
（2.0）Some drying transverse magnetisation semaphores with shell fruit sample are obtained, mass normalisation processing is carried out, obtains
The sample signal amount of unit mass；
（2.1）Achievement data standardization is carried out to the sample signal amount of unit mass, uses covariance matrix or related coefficient square
Battle array is analyzed；
（2.2）By principal component analysis, at least two principal components PC1, PC2 are extracted, draw scatter diagram；
（2.3）According to the distribution characteristics of scatter diagram be calculated seed, bad seed correspondence assessed value separation curve, for it is dry
The final assessed value obtained with shell fruit censorship is made to be compared.
7. it is according to claim 6 it is a kind of be suitable for the drying low-field nuclear magnetic resonance Non-Destructive Testing line with shell fruit, it is special
Sign is：During the mathematical model is established, the amendment step to mathematical model is further included：
（2.4）Utilize step（2.2）At least two obtained principal components PC1, PC2, are obtained by the linear combination to principal component
The drying assessed value with shell fruit sample, which is compared with the truth for inspection of peeling off, and is tied according to comparing
Fruit is modified mathematical model.
8. it is according to claim 1 it is a kind of be suitable for the drying low-field nuclear magnetic resonance Non-Destructive Testing line with shell fruit, it is special
Sign is：The step（1.3）In, after analysis obtains the drying quality information with shell fruit, by acquisition without quality problems
Drying band shell fruit censorship batch be sent into subsequent packages process；By the drying band shell fruit censorship there are quality problems of acquisition
Batch is fed again into low-field nuclear magnetic resonance equipment, and is handled by single drying band shell fruit censorship mode.
9. it is according to claim 8 it is a kind of be suitable for the drying low-field nuclear magnetic resonance Non-Destructive Testing line with shell fruit, it is special
Sign is：Drive drying band shell fruit to be sent into low-field nuclear magnetic resonance equipment using transport mechanism, and connect subsequent packages process.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201711307888.3A CN107991337A (en) | 2017-12-11 | 2017-12-11 | It is a kind of to be suitable for the drying low-field nuclear magnetic resonance Non-Destructive Testing line with shell fruit |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201711307888.3A CN107991337A (en) | 2017-12-11 | 2017-12-11 | It is a kind of to be suitable for the drying low-field nuclear magnetic resonance Non-Destructive Testing line with shell fruit |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| CN107991337A true CN107991337A (en) | 2018-05-04 |
Family
ID=62037505
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN201711307888.3A Pending CN107991337A (en) | 2017-12-11 | 2017-12-11 | It is a kind of to be suitable for the drying low-field nuclear magnetic resonance Non-Destructive Testing line with shell fruit |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN107991337A (en) |
Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN112285144A (en) * | 2020-10-15 | 2021-01-29 | 青岛农业大学 | Method for detecting breast myopathy of white feather broiler chicken by using low-field nuclear magnetic resonance |
| CN112683940A (en) * | 2020-12-24 | 2021-04-20 | 恒天海龙（潍坊）新材料有限责任公司 | Method for rapidly determining content of flame retardant in inorganic flame-retardant cellulose fiber |
Citations (7)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| JPH07198635A (en) * | 1993-12-29 | 1995-08-01 | Kobe Steel Ltd | Method of evaluating sugar content of fruit |
| JPH07198636A (en) * | 1993-12-29 | 1995-08-01 | Yamamoto Mfg Co Ltd | Device for evaluating quality of fruit |
| CN105806872A (en) * | 2016-04-29 | 2016-07-27 | 大连工业大学 | Method for identifying different sturgeon roes by low field nuclear magnetism technology |
| CN106018452A (en) * | 2016-04-29 | 2016-10-12 | 大连工业大学 | Peanut variety nondestructive testing method based on nuclear magnetic resonance technology |
| WO2016189536A1 (en) * | 2015-05-26 | 2016-12-01 | Aspect Ai Ltd. | Apparatus and method for quality detection of a processed product |
| CN106324011A (en) * | 2016-08-25 | 2017-01-11 | 江南大学 | United detection method for determinming freshness of prepared aquatic product at low temperature shelf life |
| CN106885816A (en) * | 2017-02-27 | 2017-06-23 | 上海海洋大学 | A kind of method of Non-Destructive Testing injecting glue aquatic products |
-
2017
- 2017-12-11 CN CN201711307888.3A patent/CN107991337A/en active Pending
Patent Citations (7)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| JPH07198635A (en) * | 1993-12-29 | 1995-08-01 | Kobe Steel Ltd | Method of evaluating sugar content of fruit |
| JPH07198636A (en) * | 1993-12-29 | 1995-08-01 | Yamamoto Mfg Co Ltd | Device for evaluating quality of fruit |
| WO2016189536A1 (en) * | 2015-05-26 | 2016-12-01 | Aspect Ai Ltd. | Apparatus and method for quality detection of a processed product |
| CN105806872A (en) * | 2016-04-29 | 2016-07-27 | 大连工业大学 | Method for identifying different sturgeon roes by low field nuclear magnetism technology |
| CN106018452A (en) * | 2016-04-29 | 2016-10-12 | 大连工业大学 | Peanut variety nondestructive testing method based on nuclear magnetic resonance technology |
| CN106324011A (en) * | 2016-08-25 | 2017-01-11 | 江南大学 | United detection method for determinming freshness of prepared aquatic product at low temperature shelf life |
| CN106885816A (en) * | 2017-02-27 | 2017-06-23 | 上海海洋大学 | A kind of method of Non-Destructive Testing injecting glue aquatic products |
Non-Patent Citations (1)
| Title |
|---|
| 胡潇予 等: "低场核磁共振技术在食品领域中的研究进展", 《食品工业科技》 * |
Cited By (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN112285144A (en) * | 2020-10-15 | 2021-01-29 | 青岛农业大学 | Method for detecting breast myopathy of white feather broiler chicken by using low-field nuclear magnetic resonance |
| CN112285144B (en) * | 2020-10-15 | 2022-12-27 | 青岛农业大学 | Method for detecting breast myopathy of white feather broiler chicken by using low-field nuclear magnetic resonance |
| CN112683940A (en) * | 2020-12-24 | 2021-04-20 | 恒天海龙（潍坊）新材料有限责任公司 | Method for rapidly determining content of flame retardant in inorganic flame-retardant cellulose fiber |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| Wang et al. | Fully-automated high-throughput NMR system for screening of haploid kernels of maize (corn) by measurement of oil content | |
| Defraeye et al. | Application of MRI for tissue characterisation of ‘Braeburn’apple | |
| CN105758884B (en) | A kind of method for differentiating sea cucumber drying mode and monitoring drying process quality comparison | |
| CN105606637B (en) | Utilize the method for moisture and fat content in low-field nuclear magnetic resonance technology for detection abalone | |
| EP2969268B1 (en) | High-throughput sorting of small objects via oil and/or moisture content using low-field nuclear magnetic resonance | |
| CN105954412B (en) | For the sensor array optimization method of hickory nut freshness detection | |
| CN109959765B (en) | Salmon freshness detection system and salmon freshness detection method | |
| CN106568907A (en) | Chinese mitten crab freshness damage-free detection method based on semi-supervised identification projection | |
| CN107655851A (en) | A kind of method based on near-infrared spectrum technique quick detection lysine content | |
| CN107991337A (en) | It is a kind of to be suitable for the drying low-field nuclear magnetic resonance Non-Destructive Testing line with shell fruit | |
| Leffler et al. | Determination of moisture and fat in meats by microwave and nuclear magnetic resonance analysis: collaborative study | |
| WO2020177422A1 (en) | Apparatus and method for intelligently detecting dielectric property of fruits and vegetables during microwave vacuum drying based on low-field nuclear magnetism | |
| CN106841265B (en) | A kind of pork kills postcooling Moisture Movement detection method | |
| CN107247064A (en) | A kind of analysis method of low field nuclear-magnetism Non-Destructive Testing Daqu moisture | |
| CN109520965A (en) | A method of lysine content is detected based near infrared spectrum characteristic extractive technique | |
| Thong et al. | Mango classification system uses image processing technology and artificial intelligence | |
| CN106018451A (en) | Method for determination of oil content and water content of soybeans by using low field nuclear magnetic resonance technology | |
| WO2002103329A3 (en) | Apparatus and method for determining the dispersibility of a product in particulate form | |
| Borba et al. | Selection of industrial tomatoes using TD-NMR data and computational classification methods | |
| Ma et al. | Potential use of multispectral imaging technology to identify moisture content and water‐holding capacity in cooked pork sausages | |
| Qin et al. | Prediction of Peking duck intramuscle fat content by near-infrared spectroscopy | |
| CN108627498A (en) | A kind of flour doping quantitative detecting method of multispectral data fusion | |
| CN104132949B (en) | A kind of device and method of radial ply tyre moulds surface defect Non-Destructive Testing | |
| CN106770152A (en) | The milk powder brand method for quick identification that a kind of feature based peak and algorithm parameter are chosen | |
| CN207371887U (en) | Online low-field nuclear magnetic resonance sea cucumber multichannel sorting equipment |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| PB01 | Publication | ||
| PB01 | Publication | ||
| SE01 | Entry into force of request for substantive examination | ||
| SE01 | Entry into force of request for substantive examination | ||
| RJ01 | Rejection of invention patent application after publication |
Application publication date: 20180504 |
|
| RJ01 | Rejection of invention patent application after publication |