CN107255625A - One kind is based on Embedded tea-leaf producing area identification device and its application - Google Patents
One kind is based on Embedded tea-leaf producing area identification device and its application Download PDFInfo
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- CN107255625A CN107255625A CN201710462735.XA CN201710462735A CN107255625A CN 107255625 A CN107255625 A CN 107255625A CN 201710462735 A CN201710462735 A CN 201710462735A CN 107255625 A CN107255625 A CN 107255625A
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- 238000004519 manufacturing process Methods 0.000 claims abstract description 17
- 238000000034 method Methods 0.000 claims description 17
- 238000004611 spectroscopical analysis Methods 0.000 claims description 14
- 244000269722 Thea sinensis Species 0.000 claims description 11
- 102100040862 Dual specificity protein kinase CLK1 Human genes 0.000 claims description 8
- 101000749294 Homo sapiens Dual specificity protein kinase CLK1 Proteins 0.000 claims description 8
- 235000009569 green tea Nutrition 0.000 claims description 8
- 230000008569 process Effects 0.000 claims description 7
- 102100040844 Dual specificity protein kinase CLK2 Human genes 0.000 claims description 6
- 101000749291 Homo sapiens Dual specificity protein kinase CLK2 Proteins 0.000 claims description 6
- 238000005070 sampling Methods 0.000 claims description 6
- 230000010354 integration Effects 0.000 claims description 4
- 101100434411 Saccharomyces cerevisiae (strain ATCC 204508 / S288c) ADH1 gene Proteins 0.000 claims description 3
- 101150102866 adc1 gene Proteins 0.000 claims description 3
- 230000036772 blood pressure Effects 0.000 claims description 3
- 230000000087 stabilizing effect Effects 0.000 claims description 3
- 238000005538 encapsulation Methods 0.000 abstract description 2
- 238000006243 chemical reaction Methods 0.000 description 5
- 230000003595 spectral effect Effects 0.000 description 5
- 238000004458 analytical method Methods 0.000 description 4
- 238000005516 engineering process Methods 0.000 description 4
- 238000011156 evaluation Methods 0.000 description 4
- 235000013616 tea Nutrition 0.000 description 4
- 230000008901 benefit Effects 0.000 description 3
- 230000008859 change Effects 0.000 description 3
- 238000002474 experimental method Methods 0.000 description 3
- 238000005259 measurement Methods 0.000 description 3
- FNMKZDDKPDBYJM-UHFFFAOYSA-N 3-(1,3-benzodioxol-5-yl)-7-(3-methylbut-2-enoxy)chromen-4-one Chemical compound C1=C2OCOC2=CC(C2=COC=3C(C2=O)=CC=C(C=3)OCC=C(C)C)=C1 FNMKZDDKPDBYJM-UHFFFAOYSA-N 0.000 description 2
- 241001274660 Modulus Species 0.000 description 2
- 238000013500 data storage Methods 0.000 description 2
- 230000004069 differentiation Effects 0.000 description 2
- 238000002329 infrared spectrum Methods 0.000 description 2
- 238000001320 near-infrared absorption spectroscopy Methods 0.000 description 2
- 238000012545 processing Methods 0.000 description 2
- 238000012797 qualification Methods 0.000 description 2
- 238000001228 spectrum Methods 0.000 description 2
- 235000000173 Camellia sinensis var sinensis Nutrition 0.000 description 1
- 108010076504 Protein Sorting Signals Proteins 0.000 description 1
- 230000009286 beneficial effect Effects 0.000 description 1
- 238000005520 cutting process Methods 0.000 description 1
- 238000013480 data collection Methods 0.000 description 1
- 238000013461 design Methods 0.000 description 1
- 238000001514 detection method Methods 0.000 description 1
- 238000012850 discrimination method Methods 0.000 description 1
- 238000003912 environmental pollution Methods 0.000 description 1
- 235000013569 fruit product Nutrition 0.000 description 1
- 230000003862 health status Effects 0.000 description 1
- 230000008676 import Effects 0.000 description 1
- 230000003287 optical effect Effects 0.000 description 1
- 238000011160 research Methods 0.000 description 1
Classifications
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- G—PHYSICS
- G01—MEASURING; TESTING
- G01N—INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
- G01N21/00—Investigating or analysing materials by the use of optical means, i.e. using sub-millimetre waves, infrared, visible or ultraviolet light
- G01N21/17—Systems in which incident light is modified in accordance with the properties of the material investigated
- G01N21/25—Colour; Spectral properties, i.e. comparison of effect of material on the light at two or more different wavelengths or wavelength bands
- G01N21/31—Investigating relative effect of material at wavelengths characteristic of specific elements or molecules, e.g. atomic absorption spectrometry
- G01N21/35—Investigating relative effect of material at wavelengths characteristic of specific elements or molecules, e.g. atomic absorption spectrometry using infrared light
- G01N21/3563—Investigating relative effect of material at wavelengths characteristic of specific elements or molecules, e.g. atomic absorption spectrometry using infrared light for analysing solids; Preparation of samples therefor
-
- G—PHYSICS
- G01—MEASURING; TESTING
- G01N—INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
- G01N21/00—Investigating or analysing materials by the use of optical means, i.e. using sub-millimetre waves, infrared, visible or ultraviolet light
- G01N21/17—Systems in which incident light is modified in accordance with the properties of the material investigated
- G01N21/25—Colour; Spectral properties, i.e. comparison of effect of material on the light at two or more different wavelengths or wavelength bands
- G01N21/31—Investigating relative effect of material at wavelengths characteristic of specific elements or molecules, e.g. atomic absorption spectrometry
- G01N21/35—Investigating relative effect of material at wavelengths characteristic of specific elements or molecules, e.g. atomic absorption spectrometry using infrared light
- G01N21/359—Investigating relative effect of material at wavelengths characteristic of specific elements or molecules, e.g. atomic absorption spectrometry using infrared light using near infrared light
Abstract
Embedded tea-leaf producing area identification device and its application are based on the present invention relates to one kind.The present invention sets up the tea-leaf producing area model according to different actual demands and carries out model and embeds；Selection tealeaves sample is tested, and draws the corresponding mathematical formulae of model, and in software programming, the demand of place of production discriminating is realized in encapsulation in a program.Required according to specific differentiate, set up corresponding model, meet different application demands.
Description
Technical field
Embedded tea-leaf producing area identification device and its application are based on the present invention relates to one kind, belongs to tealeaves identification device
Technical field.
Background technology
China's Tea Culture inside information is deep, and region feature and qualitative characteristics are typical geographical indication protection products substantially.
However, as Tea Geography sign protection product is more and more, fake products mark, shoddy phenomenon happen occasionally, right
Market fair trade, brand protection and consumers' rights and interests cause serious infringement.Being adopted the current detection to tea quality and the place of production more
The drawbacks of mode that manually organoleptic examination is evaluated, this mode is the result of evaluation largely by evaluation place and evaluation
The influence of the subjective factors such as know-how, the health status of personnel.Therefore, good tea is sought by modern cutting edge technology means
Leaf place of production discrimination method is always the focus that tealeaves differentiates area research.
In recent years, NIRS analytical technologies are fast-developing, especially in fruit product quality Fast nondestructive evaluation technical elements
With reaching its maturity.Number of objects that NIRS technologies can be analyzed with it is more, it is wide to cover class, before analysis need not to sample
Carry out complicated processing, the simple to operate of analysis, speed soon, the advantages of analysis does not destroy sample and small environmental pollution, in tea
Also the application of small range has been obtained on leaf.But all rest on theoretical modeling or because of import light path of optical spectrometer mostly at present
It is more complicated and relatively valuable, it can only be tested in the lab.
The content of the invention
In view of the shortcomings of the prior art, the present invention provides a kind of based on Embedded tea-leaf producing area identification device.
The present invention also provides some and carries out tea-leaf producing area mirror method for distinguishing using said apparatus.
Summary of the invention：
The tea-leaf producing area model is set up according to different actual demands and model is carried out and embedded；Tealeaves sample is selected to carry out
Experiment, draws the corresponding mathematical formulae of model, and in software programming, the demand of place of production discriminating is realized in encapsulation in a program.According to tool
Body, which differentiates, to be required, is set up corresponding model, is met different application demands.
The technical scheme is that：
One kind is based on Embedded tea-leaf producing area identification device, including main control chip, and main control chip is provided with A/D moduluss of conversion
Block, timer and RTC real-time clock modules；The main control chip is connected near infrared spectrometer and SD card.
According to currently preferred, the main control chip is connected by I/O port near infrared spectrometer；The main control chip
It is connected by SPI modes with SD card.The main control chip produces specific time sequence signal by I/O port and drives near infrared spectrometer to enter
Row data acquisition；Main control chip is connected by SPI modes and SD card, and data storage is realized with reference to FatFs file system；Master control core
A/D modular converters realize Data Format Transform inside piece, and RTC real-time clock modules realize accurately time measurement；Set up specific
Tea-leaf producing area differentiate model, be embedded into program.
According to currently preferred, the main control chip is STM32f103ZET6 chips.PB6-PB11 is STM32 chips 6
The common I/O port in road；Make the clock signal of the 6 road I/O port output light spectrometer needs, the selection of I/O port by timer interruption function
Can arbitrarily it change as needed.
It is further preferred that data-out port Vout1, Vout2 of the near infrared spectrometer respectively with
STM32f103ZET6 chip internals ADC1 passage 0 and passage 1 is connected.128 CLK1 clocks after the generation of ST trigger pulses
Cycle, spectroscopic data is output to A/D modular converters from Vout1 and Vout2 successively and carries out analog-to-digital conversion, and data are passed through in internal system
Cross and 256 yuan of complete spectroscopic datas are obtained after integrating, can be analyzed or be stored in real time SD with combination algorithm model
In card.
According to currently preferred, the main control chip is also associated with LCD display；The power input of the main control chip
End is connected by 3.3V lowering and stabilizing blood pressures module with 5V dc sources.Initial data is shown by coordinate curve, passes through text importing
Identification result；LCD display set up have coordinate system, by spectroscopic data on the vertical scale use method of naturalization, maximin it
Between be divided into 200 parts, deploy curve as far as possible, preferably show the trend of the curve of spectrum；LCD display also shows place of production discriminating knot
Really, the font color and size that differentiation result is shown can be changed.Its advantage is that original spectral data curve can be as real
The reference of border qualification result, it is more with a high credibility than directly giving identification result, make result of greater clarity.
It is further preferred that the main control chip is connected by FSMC interfaces with LCD display.
According to currently preferred, main control chip, which passes through I/O port and produces clock signal, drives near infrared spectrometer to carry out data
Collection；The clock signal includes CLK1 signals, CLK2 signals, RESET signal, SH1 signals, SH2 signals and ST signals；It is described
CLK1 signals, CLK2 signals driving shift register, the read-out speed of control unit signal；The control control of high level RESERT signals
The time of integration processed, low level RESERT signals control readout time；SH1 signals control Vout1 sampling time, SH2 signal controls
Vout2 processed sampling time；ST signals are that 256*1 members signal sequence reads trigger pulse；Under clock signal driving, two-way
128 yuan of spectroscopic datas are exported from Vout1, Vout2 respectively.Wherein, cell signal is every unitary in 128 yuan.
It is further preferred that the process that the main control chip I/O port produces the clock signal includes, 6 road I/O ports it is initial
Change and pattern setting, the initialization of timer, the break period that timer is set and corresponding I/O port output level, produce needs
Clock signal.The timer function enriched using main control chip produces the clock signal needed, without additional other moulds
Block, greatly reduces the complexity of system.
Still further preferably, 6 road I/O ports are disposed as recommending output mode pattern.
It is a kind of as follows using said apparatus progress tea-leaf producing area mirror method for distinguishing, including step：
1) model：From N number of tealeaves Sample Establishing place of production discriminating model, N is selected from N number of tealeaves sample1Individual sample structure
Into calibration samples collection, remaining sample is used as forecast sample collection；The partially minimum of different sources tealeaves is set up using calibration set sample set
Two multiply model；Number of principal components is M；
2) place of production discriminating model is embedded into the software program of system；The algorithm model that modeling experiment is obtained is embedded into
In the software program of system, realize and the real-time discriminating of tea-leaf producing area is handled；
3) discrimination process：The irreflexive spectroscopic data in tealeaves surface is measured by near infrared spectrometer, and by spectroscopic data
It is temporarily stored in SD card, judges the place of production information of forecast set sample according to prediction label using the principle rounded up；
According to currently preferred, the tealeaves sample is Laoshan green tea sample and Rizhao Green Tea sample；Laoshan green tea
Prediction label value is 0.5~1.5；The prediction label value of Rizhao Green Tea is 1.5~2.5.I.e. prediction label value 0.5 and 1.5 it
Between sample be determined as Laoshan green tea, sample of the prediction label value between 1.5 and 2.5 is determined as Rizhao Green Tea.
According to currently preferred, the N=110；M=7.
Beneficial effects of the present invention are：
1. of the present invention be based on Embedded tea-leaf producing area identification device, main innovation point is the place of production of high accuracy
Differentiate the foundation of model, for different discriminating demands, the system set up after corresponding algorithm model, embedded identification algorithm, energy
Enough quickly to obtain identification result, process is succinctly efficient；
2. of the present invention be based on Embedded tea-leaf producing area identification device, system portability is high, different by changing
Algorithm model, you can meet different system application demands, realize the discriminating to different product, flexibility is high, expansibility
By force, it is with a wide range of applications；
3. of the present invention be based on Embedded tea-leaf producing area identification device, spectral measurement and parser are fused to one
Rise, integrated level is high, realizes the design object of portable minisize；It is multiple functional as an instrument, can be real by LCD
When show place of production discriminating result to user, can also select to preserve original spectral data to carry out follow-up data processing and near
Infrared spectrum analysis application.
Brief description of the drawings
Fig. 1 is the port connection figure of main control chip of the present invention and near infrared spectrometer；
Fig. 2 is based on Embedded tea-leaf producing area identification device progress tea-leaf producing area mirror method for distinguishing using of the present invention
Flow chart.
Embodiment
With reference to embodiment and Figure of description, the present invention will be further described, but not limited to this.
Embodiment 1
As shown in Figure 1.
One kind is based on Embedded tea-leaf producing area identification device, including main control chip, and main control chip is provided with A/D moduluss of conversion
Block, timer and RTC real-time clock modules；The main control chip is connected near infrared spectrometer and SD card.
Embodiment 2
Embedded tea-leaf producing area identification device is based on as described in Example 1, except that, the main control chip leads to
I/O port is crossed to be connected near infrared spectrometer；The main control chip is connected by SPI modes with SD card.The main control chip passes through IO
Mouth produces specific time sequence signal driving near infrared spectrometer and carries out data acquisition；Main control chip is connected by SPI modes and SD card,
Data storage is realized with reference to FatFs file system；A/D modular converters realize Data Format Transform inside main control chip, and RTC is real-time
Clock module realizes accurately time measurement；Set up specific tea-leaf producing area and differentiate model, be embedded into program.
Embodiment 3
Embedded tea-leaf producing area identification device is based on as described in Example 1, except that, the main control chip is
STM32f103ZET6 chips.PB6-PB11 is the common I/O port in the tunnel of STM32 chips 6；6 tunnel is made by timer interruption function
The clock signal that I/O port output light spectrometer needs, the selection of I/O port can be changed arbitrarily as needed.
Embodiment 4
Embedded tea-leaf producing area identification device is based on as described in Example 3, except that, the near infrared spectrum
Data-out port Vout1, Vout2 of instrument are connected with STM32f103ZET6 chip internals ADC1 passage 0 and passage 1 respectively.
128 CLK1 clock cycle after the generation of ST trigger pulses, spectroscopic data is output to A/D conversions from Vout1 and Vout2 successively
Module carries out analog-to-digital conversion, and data obtain 256 yuan of complete spectroscopic datas in internal system after integration, can combined
Algorithm model is analyzed or is stored in SD card in real time.
Embodiment 5
Embedded tea-leaf producing area identification device is based on as described in Example 1, except that, the main control chip is also
It is connected with LCD display；The power input of the main control chip is connected by 3.3V lowering and stabilizing blood pressures module with 5V dc sources.
Initial data is shown by coordinate curve, passes through text importing identification result；LCD display, which is set up, coordinate system, by spectrum number
It is divided into 200 parts between method of naturalization, maximin according to using on the vertical scale, deploys curve as far as possible, preferably show light
The trend of spectral curve；LCD display also shows place of production discriminating result, and the font color and size that differentiation result is shown can be more
Change.Its advantage is, original spectral data curve can as actual qualification result reference, can than directly giving identification result
Reliability is high, makes result of greater clarity.
Embodiment 6
Embedded tea-leaf producing area identification device is based on as described in Example 5, except that, the main control chip leads to
FSMC interfaces are crossed to be connected with LCD display.
Embodiment 7
Embedded tea-leaf producing area identification device is based on as described in Example 1, except that, main control chip passes through IO
Mouth produces clock signal driving near infrared spectrometer and carries out data acquisition；The clock signal include CLK1 signals, CLK2 signals,
RESET signal, SH1 signals, SH2 signals and ST signals；The CLK1 signals, CLK2 signals driving shift register, control are single
The read-out speed of first signal；The high level RESERT signals control control time of integration, when the control of low level RESERT signals is read
Between；SH1 signals control Vout1 sampling time, and SH2 signals control Vout2 sampling time；ST signals are 256*1 member signals
Sequentially read trigger pulse；Under clock signal driving, 128 yuan of spectroscopic datas of two-way are exported from Vout1, Vout2 respectively.
Embodiment 8
Embedded tea-leaf producing area identification device is based on as described in Example 7, except that, the main control chip IO
The process that mouth produces the clock signal includes, and the initialization of 6 road I/O ports and pattern setting, the initialization of timer, setting are determined
When device break period and corresponding I/O port output level, produce need clock signal.The timing enriched using main control chip
Device function produces the clock signal needed, without additional other modules, greatly reduces the complexity of system.
Embodiment 9
Embedded tea-leaf producing area identification device is based on as described in Example 8, except that, 6 road I/O ports are respectively provided with
For recommending output mode pattern.
Embodiment 10
As shown in Figure 2.
It is a kind of as follows using embodiment 1-9 described devices progress tea-leaf producing area mirror method for distinguishing, including step：
1) model：From N number of tealeaves Sample Establishing place of production discriminating model, N is selected from N number of tealeaves sample1Individual sample structure
Into calibration samples collection, remaining sample is used as forecast sample collection；The partially minimum of different sources tealeaves is set up using calibration set sample set
Two multiply model；Number of principal components is M；N=110；M=7.
2) place of production discriminating model is embedded into the software program of system；The algorithm model that modeling experiment is obtained is embedded into
In the software program of system, realize and the real-time discriminating of tea-leaf producing area is handled；
3) discrimination process：The irreflexive spectroscopic data in tealeaves surface is measured by near infrared spectrometer, and by spectroscopic data
It is temporarily stored in SD card, judges the place of production information of forecast set sample according to prediction label using the principle rounded up；
Embodiment 11
Tea-leaf producing area identification method as described in Example 10, except that, the tealeaves sample is Laoshan green tea sample
Originally with Rizhao Green Tea sample；The prediction label value of Laoshan green tea is 0.5~1.5；The prediction label value of Rizhao Green Tea be 1.5~
2.5.The sample of prediction label value between 0.5 and 1.5 is determined as Laoshan green tea, sample of the prediction label value between 1.5 and 2.5
Originally it is determined as Rizhao Green Tea.
Claims (9)
1. one kind is based on Embedded tea-leaf producing area identification device, it is characterised in that including main control chip, main control chip is provided with
A/D modular converters, timer and RTC real-time clock modules；The main control chip is connected near infrared spectrometer and SD card；It is described
Main control chip is connected by I/O port near infrared spectrometer；The main control chip is connected by SPI modes with SD card.
2. according to claim 1 be based on Embedded tea-leaf producing area identification device, it is characterised in that the main control chip
For STM32f103ZET6 chips；Data-out port Vout1, Vout2 of the near infrared spectrometer respectively with
STM32f103ZET6 chip internals ADC1 passage 0 and passage 1 is connected.
3. according to claim 1 be based on Embedded tea-leaf producing area identification device, it is characterised in that the main control chip
It is also associated with LCD display；The power input of the main control chip is connected by 3.3V lowering and stabilizing blood pressures module and 5V dc sources
Connect；The main control chip is connected by FSMC interfaces with LCD display.
4. according to claim 1 be based on Embedded tea-leaf producing area identification device, it is characterised in that main control chip passes through
I/O port produces clock signal driving near infrared spectrometer and carries out data acquisition；The clock signal, which includes CLK1 signals, CLK2, to be believed
Number, RESET signal, SH1 signals, SH2 signals and ST signals；The CLK1 signals, CLK2 signals driving shift register, control
The read-out speed of cell signal；The high level RESERT signals control control time of integration, the control of low level RESERT signals is read
Time；SH1 signals control Vout1 sampling time, and SH2 signals control Vout2 sampling time；ST signals are 256*1 member letters
Number sequentially read trigger pulse；Under clock signal driving, 128 yuan of spectroscopic datas of two-way are exported from Vout1, Vout2 respectively.
5. according to claim 4 be based on Embedded tea-leaf producing area identification device, it is characterised in that the main control chip
The process that I/O port produces the clock signal includes, the initialization of 6 road I/O ports and pattern setting, the initialization of timer, setting
The break period of timer and corresponding I/O port output level, produce the clock signal needed.
6. according to claim 1 be based on Embedded tea-leaf producing area identification device, it is characterised in that 6 road I/O ports are all provided with
It is set to recommending output mode pattern.
7. some carry out tea-leaf producing area mirror method for distinguishing using claim 1-6 any one described device, it is characterised in that bag
Include step as follows：
1) model：From N number of tealeaves Sample Establishing place of production discriminating model, N is selected from N number of tealeaves sample1Individual sample constitutes correction
Sample set, remaining sample is used as forecast sample collection；The offset minimum binary mould of different sources tealeaves is set up using calibration set sample set
Type；Number of principal components is M；
2) place of production discriminating model is embedded into the software program of system；
3) discrimination process：The irreflexive spectroscopic data in tealeaves surface is measured by near infrared spectrometer, and spectroscopic data is kept in
In SD card, the place of production information of forecast set sample is judged according to prediction label using the principle rounded up.
8. tea-leaf producing area identification method according to claim 7, it is characterised in that the tealeaves sample is Laoshan green tea sample
Originally with Rizhao Green Tea sample；The prediction label value of Laoshan green tea is 0.5~1.5；The prediction label value of Rizhao Green Tea be 1.5~
2.5。
9. tea-leaf producing area identification method according to claim 7, it is characterised in that the N=110；M=7.
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| CN201710462735.XA CN107255625B (en) | 2017-06-19 | 2017-06-19 | Tea production place identification device based on embedded type and application thereof |
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| CN201710462735.XA CN107255625B (en) | 2017-06-19 | 2017-06-19 | Tea production place identification device based on embedded type and application thereof |
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Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
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| CN109632696A (en) * | 2018-12-13 | 2019-04-16 | 宜宾学院 | A kind of inexpensive near-infrared spectrum method identifying medicinal tablet source |
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