CN103487397B - A kind of thunder bamboo shoots hardness method for quick and device - Google Patents
A kind of thunder bamboo shoots hardness method for quick and device Download PDFInfo
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Abstract
The invention discloses a kind of thunder bamboo shoots hardness method for quick and device, comprising: the 1) reflectivity of thunder bamboo shoots corresponding to acquisition characteristics wavelength; 2) reflectivity under each wavelength obtained is converted into absorbance; 3) each absorbance is brought into hardness that multiple linear regression equations calculates thunder bamboo shoots respectively.The invention also discloses the device implementing above-mentioned detection method, comprise objective table, profiling rubber base fixed by sample, semisphere spectra collection box, light-source system, computing machine, one-chip computer module, between objective table and semisphere spectra collection box, welding is provided with resiliency supported pin, semisphere spectra collection box bottom centre is one-body molded is provided with center drilling, and semisphere spectra collection box is also equipped with handle.The present invention mainly detects thunder bamboo shoots hardness fast and accurately by characteristic wavelength, substantially reduces the time of detection, for the robotization cutting of thunder bamboo shoots provides basis.
Description
Technical field
The invention belongs to Shoot Qualities detection field, be specifically related to a kind of thunder bamboo shoots hardness method for quick and device.
Background technology
Bamboo shoots contain the necessary amino acid of human body, and various trace element and cellulose, are the green health care foods of a kind of low sugar, low fat, high protein, high microsteping.Hardness is the important indicator that Shoot Qualities is evaluated, and cuts, can make the best use of everything, create better economic worth to the bamboo shoots of different hardness.Traditional bamboo shoots hardness detection method normally adopts hardness tester to carry out perforation and detects, and the method is for damaging detection, and detection speed is slow, cannot meet the quick detection needs of the large sample colony in bamboo shoots cutting processing process.Therefore, the storage of method for bamboo shoots, the robotization cutting processing of studying harmless, quick, accurate detection bamboo shoots hardness all have great importance.
The wavelength coverage of near infrared light is about 780 ~ 2500 nm, is the electromagnetic wave between visible ray and mid-infrared light, by the hydric group with organic molecule in material as the effect of C-H, O-H, N-H key, forms frequency multiplication and the sum of fundamental frequencies absorption spectrum of organic molecule.According to the information characteristics such as position, absorption intensity that these near infrared spectrums occur, can carry out quantitatively or qualitative analysis measured object quality characteristic in conjunction with chemometrics method.Near-infrared spectrum technique have easy and simple to handle, finding speed is fast, the advantage such as pollution-free, has been widely used in the fields such as petrochemical complex, food, agricultural, pharmacy.
Summary of the invention
The object of this invention is to provide a kind of thunder bamboo shoots hardness method for quick and device.Can the reflectivity of some specific wavelength of Quick Acquisition thunder bamboo shoots, by multiple linear regression model, quick and precisely detect thunder bamboo shoots hardness, for the robotization cutting of thunder bamboo shoots provides basis.
The method for quick of described a kind of thunder bamboo shoots hardness, is characterized in that comprising the following steps:
1) reflectivity of thunder bamboo shoots corresponding to acquisition characteristics wavelength, described characteristic wavelength is respectively: 1181nm, 1719 nm, 1867 nm, 1494 nm, 2296 nm, 2122 nm, 1144 nm, 1441nm, 1028 nm, 2416 nm, 1164 nm, 1909 nm, 1000 nm, 2448 nm and 2037nm;
2) reflectivity under each characteristic wavelength obtained is converted into absorbance;
3) each absorbance is brought into multiple linear regression equations respectively:
y=-133.34
λ 1+ 92.17
λ 2+ 72.93
λ 3– 62.03
λ 4– 33.60
λ 5+ 48.72
λ 6– 71.16
λ 7+ 41.46
λ 8+ 66.87
λ 9– 19.90
λ 10+ 46.08
λ 11+ 0.76
λ 12– 47.09
λ 13+ 23.17
λ 14-25.21
λ 15+ 1.39, calculate the hardness of bamboo shoots;
In equation, y is the hardness at tested bamboo shoots position,
λ 1~
λ 15be respectively the absorbance at 1811 nm, 1719nm, 1867 nm, 1494 nm, 2296 nm, 2122 nm, 1144 nm, 1441 nm, 1028 nm, 2416 nm, 1164 nm, 1909 nm, 1000 nm, test position corresponding to 2448 nm and 2037nm wavelength.
Due to the non-transparent medium that bamboo shoots are containing multiple organic principle, when light-wave irradiation is on its surface, except part light is absorbed, major part all reflects, and light wave absorbs number be relevant to the chemical composition of bamboo shoots or physical property, and the chemical composition of bamboo shoots hardness property and bamboo shoots or physical property relevant, the reflectivity particularly with some characteristic wavelength light wave of minority is correlated with.
The method for quick of described a kind of thunder bamboo shoots hardness, is characterized in that the acquisition of described characteristic wavelength adopts following steps:
1) the raw-material collection of thunder bamboo shoots sample: choosing the thunder bamboo shoots that length is greater than 30cm, root diameter (RD) is greater than 5cm is sample starting material;
2) longitudinally cut open by the sample starting material in step 1), be that the blade card punch of 1.5cm carries out punching sampling at the internode of thunder bamboo shoots with internal diameter, acquisition diameter is 1.5cm, and thickness is the sample of 1cm;
3) by Antraris II ft-nir spectrometer acquisition step 2) in the near-infrared diffuse reflection spectrum of sample, acquisition condition is: room temperature 20 ± 2 DEG C, sweep limit 10000 ~ 4000 cm
-1, scanning times 64 times, resolution is 8 cm
-1, scanning time fibre-optical probe directly contact with thunder bamboo shoot circular surface, near-infrared diffuse reflection spectrum data TQ Analyst 9.1 software of collection is carried out gathering and changing;
4) by longitudinal hardness data of instrumental test thunder bamboo shoots sample, assay method is: adopting three test points of P2N needle probe to 120 °, sample circular flat interval to carry out probe driving depth is that 5mm measures, and is averaged as sample final hardness to the hardness of 3.
5) adopt Monte Carlo sampling algorithm rejecting abnormalities sample, determine sample sets spectroscopic data;
6) first adopt the competitive method of weighting of self-adaptation in 1000-2500nm wavelength coverage, carry out the primary election of characteristic wavelength, reject irrelevant variable, tentatively obtain the variable that some are relevant to thunder bamboo shoots hardness, then adopt successive projection algorithm to carry out the second selecting of characteristic wavelength further, obtain these.Characteristic wavelength is respectively 1811 nm, 1719 nm, 1867 nm, 1494 nm, 2296 nm, 2122 nm, 1144 nm, 1441 nm, 1028 nm, 2416 nm, 1164 nm, 1909 nm, 1000 nm, 2448 nm and 2037 nm.Using the absorbance of the thunder bamboo shoots of above-mentioned wavelength as input variable, carry out multiple linear regression using the thunder bamboo shoots hardness measured as output variable, obtain above-mentioned regression equation.
The device of described a kind of quick detection thunder bamboo shoots hardness, comprise objective table, profiling rubber base fixed by the sample be equipped with on objective table, semisphere spectra collection box, light-source system, computing machine, one-chip computer module, described semisphere spectra collection box internal engagement is provided with annular spectrum receiver holder, uniformly on annular spectrum receiver holder be provided with spectral receiver, described light-source system is equipped with the top at semisphere spectra collection box, described spectral receiver and light-source system are connected with one-chip computer module, one-chip computer module is connected with computing machine by USB data line, it is characterized in that between described objective table and semisphere spectra collection box, welding is provided with resiliency supported pin, described semisphere spectra collection box bottom centre is one-body molded is provided with center drilling, semisphere spectra collection box is also equipped with handle.
The device of described a kind of quick detection thunder bamboo shoots hardness, is characterized in that described spectral receiver is provided with 16.
The device of described a kind of quick detection thunder bamboo shoots hardness, is characterized in that described resiliency supported pin has 3, and even 120 ° of described 3 resiliency supported pin to weld with semisphere spectra collection box and arrange.
The device of described a kind of quick detection thunder bamboo shoots hardness, is characterized in that described spectral receiver comprises light sensor, optical filter, the first Fresnel Lenses installed successively.
The device of described a kind of quick detection thunder bamboo shoots hardness, it is characterized in that described light-source system comprises LED light source and is arranged on the second Fresnel Lenses below LED light source, described LED light source wavelength coverage is 1000-2500nm.
The device of described a kind of quick detection thunder bamboo shoots hardness, is characterized in that described semisphere spectra collection box inwall is provided with white layer.
The device of described a kind of quick detection thunder bamboo shoots hardness, it is characterized in that the crossing current signal that described one-chip computer module can provide size adjustable, for light source power supply, the built-in multiple linear regression equations of carrying out the hardness measurement of thunder bamboo shoots of one-chip computer module, for calculating, showing and data and result are transferred to computing machine, carry out storage and the reproduction of data.
The device of described a kind of quick detection thunder bamboo shoots hardness, is characterized in that described multiple linear regression equations is
y=-133.34
λ 1+ 92.17
λ 2+ 72.93
λ 3– 62.03
λ 4– 33.60
λ 5+ 48.72
λ 6– 71.16
λ 7+ 41.46
λ 8+ 66.87
λ 9– 19.90
λ 10+ 46.08
λ 11+ 0.76
λ 12– 47.09
λ 13+ 23.17
λ 14-25.21
λ 15+ 1.39, in equation, y is the hardness at the tested position of thunder bamboo shoots:
λ 1~
λ 15be respectively 1811 nm, 1719nm, 1867 nm, 1494 nm, 2296 nm, 2122 nm, 1144 nm, 1441 nm, 1028 nm, 2416 nm, 1164 nm, 1909 nm, 1000 nm, corresponding to 2448 nm and 2037nm wavelength thunder bamboo shoots test position absorbance.
The invention has the beneficial effects as follows:
1. the rapid and convenient achieving thunder bamboo shoots hardness detects, and accuracy of measurement is high;
2. adopt a few features wavelength to carry out multiple linear regression analysis, antijamming capability is strong, and cost is low;
3. applied widely, according to actual conditions, the optical filter of other centre wavelengths can be selected, by revising multiple linear regression model, for the detection of different regions, different cultivars bamboo shoots hardness or other index of quality.
4. the present invention is mainly used in quick and precisely detecting thunder bamboo shoots hardness by the spectrum of characteristic wavelength, substantially reduces detection time, reduces testing cost, for the storage of new fresh bamboo shoots and robotization cutting classification are laid a good foundation.
Accompanying drawing explanation
Fig. 1 is the structural representation of thunder bamboo shoots hardness device for fast detecting;
Fig. 2 is the distribution schematic diagram of spectral receiver in Fig. 1 shown device;
Fig. 3 is that in the embodiment of the present invention, calibration set sample predicts the outcome scatter diagram;
Fig. 4 is test set sample predict scatter diagram in the embodiment of the present invention;
In figure, 1-objective table, 2-resiliency supported pin, profiling rubber base fixed by 3-sample, 4-semisphere spectra collection box, 5-spectral receiver, 6-computing machine, 7-one-chip computer module, 8-light-source system, 9-LED light source, 10-second Fresnel Lenses, 11-handle, 12-annular spectrum receiver holder, 13-light sensor, 14-optical filter, 15-first Fresnel Lenses, 16-center drilling.
Embodiment
The present invention is described in further detail below in conjunction with drawings and Examples.
As shown in Figure 1: a kind of device of quick detection bamboo shoots hardness, comprises with lower component: objective table 1, resiliency supported pin 2, sample fix profiling rubber base 3, semisphere spectra collection box 4, spectral receiver 5, computing machine 6, one-chip computer module 7, light-source system 8, LED light source 9, second Fresnel Lenses 10, handle 11, annular spectrum receptacle support 12, light sensor 13, optical filter 14, first Fresnel Lenses 15.Spectrum receptacle 5, light-source system 8 are connected to one-chip computer module 7, then are connected on computing machine 6 by USB data line.Semisphere spectra collection box 4 top embeds light-source system 8, LED light source 9 is placed in light-source system 8, semisphere spectra collection box 4 bottom centre is one-body molded is provided with center drilling 16, after LED light source 9 luminescence, is converged on sample by light by the second Fresnel Lenses 10.Semisphere spectra collection box 4 is provided with handle 11, can be used for portable measurement.Three even 120 ° of distributions of resiliency supported pin 2 are also welded with semisphere spectra collection box 4, tested position can be made to be close to semisphere spectra collection box 4 bottom centre perforate 16 by resiliency supported pin 2.Semisphere spectra collection box 4 inwall is white, makes uniform illumination.
As illustrated in fig. 1 and 2, semisphere spectra collection box 4 inside is provided with annular spectrum and accepts support 12, annular spectrum accepts support 12 to be evenly distributed in 16 spectrum receptacles 5, and the center line of each spectral receiver 5 is intersected in the center of light-source system 8 at center drilling 16.Each spectrum receptacle 5 is provided with a light sensor 13, optical filter 14 and the first Fresnel Lenses 15.Wherein the centre wavelength of 15 optical filters is respectively 1811 nm, 1719 nm, 1867 nm, 1494 nm, 2296 nm, 2122 nm, 1144 nm, 1441 nm, 1028 nm, 2416 nm, 1164 nm, 1909 nm, 1000 nm, 2448 nm and 2037 nm.16 groups of optical filters and light sensor wherein one group as with reference to wavelength, all the other 15 groups participate in calculating.
Light sensor 13 is by the light wave reflection rate of the optical filter 14 acquisition characteristics wavelength of characteristic wavelength.So-called characteristic wavelength refers to those wavelength that its reflectivity is relevant to bamboo shoots hardness.
Embodiment
The acquisition of characteristic wavelength:
1) choose length and be greater than the thunder bamboo shoots of 5cm as sample starting material in 30cm, root diameter (RD), longitudinally cut open, be that the blade card punch of 1.5cm carries out punching sampling at the internode of bamboo shoots with internal diameter, obtain diameter 1.5cm altogether, thickness is 113, the sample of 1cm;
2) near-infrared diffuse reflection spectrum of above-mentioned sample is gathered with Antraris II ft-nir spectrometer.Acquisition condition: room temperature: 20 ± 2 DEG C; Sweep limit: 10000 ~ 4000 cm
-1; Scanning times: 64 times; Resolution: 8 cm
-1; During scanning, fibre-optical probe directly contacts with thunder bamboo shoot circular surface, spectroscopic data by TQ Analyst 9.1(thermoelectricity Buddhist nun high-tensile strength company, the U.S.) software carries out gathering and changing;
3) longitudinal hardness data of thunder bamboo shoot sample are measured with Texture instrument (Beijing Wei Xunchao technical device company limited), assay method is: adopt 3 test points of P2N needle probe to 120 °, sample circular flat interval to carry out the measurement that probe driving depth is 5mm, is averaged and as sample final hardness to the hardness of 3;
4) adopt Monte Carlo sampling algorithm (Monte-Carlo Sampling, MCS) rejecting abnormalities sample, final whole sample sets spectroscopic data is 108;
5) competitive adaptive weighting method (Competitive Adaptive Reweighed Sampling is first adopted, CARS) primary election of characteristic wavelength is carried out, adopt successive projection algorithm (Successive Projections Algorithm subsequently, SPA) second selecting of characteristic wavelength is carried out, so not only can avoid the phenomenons such as the overlong time directly adopting successive projection algorithm to cause, irrelevant variable can also be rejected further, improve the precision of model.Characteristic wavelength of the present invention is respectively 1811 nm, 1719 nm, 1867 nm, 1494 nm, 2296 nm, 2122 nm, 1144 nm, 1441 nm, 1028 nm, 2416 nm, 1164 nm, 1909 nm, 1000 nm, 2448 nm and 2037 nm.15 photosensitive components accept the light wave of 15 wavelength respectively;
The present invention first measures the reflectivity of 108 samples at 1811 nm, 1719 nm, 1867 nm, 1494 nm, 2296 nm, 2122 nm, 1144 nm, 1441 nm, 1028 nm, 2416 nm, 1164 nm, 1909 nm, 1000 nm, 2448 nm and these wavelength places of 2037 nm, subsequently by log (1/
r) (
rfor reflectivity) convert thereof into absorbance, then adopt E-test to select 72 samples as calibration set, all the other 36 increment product, as test set, utilize the hardness of traditional technique in measuring 108 bamboo shoots samples simultaneously.Using the absorbance corresponding to each characteristic wavelength of calibration set sample as independent variable, corresponding actual measurement value, as dependent variable, utilizes multiple linear regression analysis method (Multiple Linear Regression, MLR) to obtain following multiple linear regression equations:
y=-133.34
λ 1+ 92.17
λ 2+ 72.93
λ 3– 62.03
λ 4– 33.60
λ 5+ 48.72
λ 6– 71.16
λ 7+ 41.46
λ 8+ 66.87
λ 9– 19.90
λ 10+ 46.08
λ 11+ 0.76
λ 12– 47.09
λ 13+ 23.17
λ 14-25.21
λ 15+ 1.39, calculate the hardness of bamboo shoots.
In equation
yfor the predicted value of tested bamboo shoots position hardness;
λ 1~
λ 15be respectively the absorbance that 1811 nm, 1719 nm, 1867 nm, 1494 nm, 2296 nm, 2122 nm, 1144 nm, 1441 nm, 1028 nm, 2416 nm, 1164 nm, 1909 nm, 1000 nm, 2448 nm and the bamboo shoots corresponding to 2037 nm wavelength test position.
Then utilize above-mentioned multiple linear regression equations to predict the hardness of calibration set and test set sample respectively, and evaluate predicting the outcome.In evaluation index, related coefficient and slope are more close to 1, and absolute value and the intercept of root-mean-square error, deviation are less, illustrate that model prediction performance is better.Predict the outcome as shown in table 1:
Table 1: calibration set and test set thunder bamboo shoots sample Hardness Prediction are evaluated
As shown in Figure 3, be predicting the outcome during calibration set modeling analysis, the i.e. predicted value of calibration set sample and the contrast of actual value, and model be used for the prediction of test set sample, the precision of analytical model.The scatter diagram that test set sample predicts the outcome as shown in Figure 4.In above-mentioned table, the predicted value of bamboo shoots hardness and actual value measure between related coefficient be all greater than 0.9, calibration set root-mean-square error and test set root-mean-square error less and the two be more or less the same, therefore think that the estimated performance of model is better.The above results application method of the present invention can realize the detection of tired bamboo shoots hardness fast and accurately.
The method that said apparatus detects thunder bamboo shoots hardness is as follows:
Thunder bamboo shoots being placed on sample fixes on profiling rubber base 3, the tested position of thunder bamboo shoots is made to aim at the center of semisphere spectra collection box 4 bottom centre perforate 16, then LED light source 9 is connected by one-chip computer module 7, after illumination is mapped to tested position, the light that light sensor 13 reflects through the first Fresnel Lenses 15 under only accepting specific wavelength by optical filter 14, the light intensity accepted with the 16th light sensor as a reference, converse the reflectivity of light wave under other 15 characteristic wavelengths, one-chip computer module 7 accepts data and is translated into absorbance, be brought in multivariate regression model, calculate thunder bamboo shoots hardness.
This device scope of application is comparatively wide, and can be used for the hardness measuring variety classes bamboo shoots, prerequisite only needs to determine different types of characteristic wavelength according to the method described above, and then determine multiple regression equation, and multiple regression equation is inserted one-chip computer module.
Claims (9)
1. a method for quick for thunder bamboo shoots hardness, is characterized in that comprising the following steps:
1) reflectivity of thunder bamboo shoots corresponding to acquisition characteristics wavelength, described characteristic wavelength is respectively: 1181nm, 1719 nm, 1867 nm, 1494 nm, 2296 nm, 2122 nm, 1144 nm, 1441nm, 1028 nm, 2416 nm, 1164 nm, 1909 nm, 1000 nm, 2448 nm and 2037nm;
2) reflectivity under each characteristic wavelength obtained is converted into absorbance;
3) each absorbance is brought into multiple linear regression equations respectively:
y=-133.34
λ 1+ 92.17
λ 2+ 72.93
λ 3– 62.03
λ 4– 33.60
λ 5+ 48.72
λ 6– 71.16
λ 7+ 41.46
λ 8+ 66.87
λ 9– 19.90
λ 10+ 46.08
λ 11+ 0.76
λ 12– 47.09
λ 13+ 23.17
λ 14-25.21
λ 15+ 1.39, calculate the hardness of thunder bamboo shoots; In equation, y is the hardness at tested bamboo shoots position,
λ 1~
λ 15be respectively the absorbance at 1811 nm, 1719nm, 1867 nm, 1494 nm, 2296 nm, 2122 nm, 1144 nm, 1441 nm, 1028 nm, 2416 nm, 1164 nm, 1909 nm, 1000 nm, test position corresponding to 2448 nm and 2037nm wavelength;
The acquisition of described characteristic wavelength adopts following steps:
1) the raw-material collection of thunder bamboo shoots sample: choosing the thunder bamboo shoots that length is greater than 30cm, root diameter (RD) is greater than 5cm is sample starting material;
2) longitudinally cut open by the sample starting material in step 1), be that the blade card punch of 1.5cm carries out punching sampling at the internode of thunder bamboo shoots with internal diameter, acquisition diameter is 1.5cm, and thickness is the sample of 1cm;
3) by Antraris II ft-nir spectrometer acquisition step 2) in the near-infrared diffuse reflection spectrum of sample, acquisition condition is: room temperature 20 ± 2 DEG C, sweep limit 10000 ~ 4000 cm
-1, scanning times 64 times, resolution is 8 cm
-1, scanning time fibre-optical probe directly contact with thunder bamboo shoots circular surface, near-infrared diffuse reflection spectrum data TQ Analyst 9.1 software of collection is carried out gathering and changing;
4) by longitudinal hardness data of instrumental test thunder bamboo shoots sample, adopt P2N needle probe to carry out probe driving depth 5mm to three test points in 120 °, sample circular flat interval and measure, get its mean value as sample final hardness;
5) adopt Monte Carlo sampling algorithm rejecting abnormalities sample, determine sample set spectroscopic data;
6) first adopt the competitive method of weighting of self-adaptation, adopt successive projection algorithm to carry out the second selecting of characteristic wavelength subsequently.
2. for implementing the claims the pick-up unit of method described in 1, comprise objective table (1), profiling rubber base (3) fixed by the sample be equipped with on objective table (1), semisphere spectra collection box (4), light-source system (8), computing machine (6), one-chip computer module (7), described semisphere spectra collection box (4) internal engagement is provided with annular spectrum receiver holder (12), annular spectrum receiver holder (12) is above uniform is provided with spectral receiver (5), described light-source system (8) is equipped with the top at semisphere spectra collection box (4), described spectral receiver (5) and light-source system (8) are connected with one-chip computer module (7), one-chip computer module (7) is connected with computing machine (6) by USB data line, it is characterized in that between described objective table (1) and semisphere spectra collection box (4), welding is provided with resiliency supported pin (2), described semisphere spectra collection box (4) bottom centre is one-body molded is provided with center drilling (16), semisphere spectra collection box (4) is also equipped with handle (11).
3. pick-up unit according to claim 2, is characterized in that described spectral receiver (5) is provided with 16.
4. pick-up unit according to claim 2, is characterized in that described resiliency supported pin (2) has 3, and even 120 ° of described 3 resiliency supported pin to weld with semisphere spectra collection box (4) and arrange.
5. the pick-up unit according to Claims 2 or 3, is characterized in that described spectral receiver (5) being provided with successively light sensor (13), optical filter (14), the first Fresnel Lenses (15).
6. pick-up unit according to claim 2, it is characterized in that described light-source system (8) comprises LED light source (9) and is arranged on second Fresnel Lenses (10) of LED light source (9) below, described LED light source (9) wavelength coverage is 1000-2500nm.
7. pick-up unit according to claim 2, is characterized in that described semisphere spectra collection box (4) inwall is provided with white coating.
8. pick-up unit according to claim 2, it is characterized in that the constant current signal that described one-chip computer module (7) can provide size adjustable, for light source power supply, the built-in multiple linear regression equations of carrying out the hardness measurement of thunder bamboo shoots of one-chip computer module (7), for calculating, showing and data and result are transferred to computing machine, carry out storage and the reproduction of data.
9. detection according to claim 8, is characterized in that described multiple linear regression equations is
y=-133.34
λ 1+ 92.17
λ 2+ 72.93
λ 3– 62.03
λ 4– 33.60
λ 5+ 48.72
λ 6– 71.16
λ 7+ 41.46
λ 8+ 66.87
λ 9– 19.90
λ 10+ 46.08
λ 11+ 0.76
λ 12– 47.09
λ 13+ 23.17
λ 14-25.21
λ 15+ 1.39, in equation, y is the hardness at the tested position of thunder bamboo shoots:
λ 1~
λ 15be respectively 1811 nm, 1719nm, 1867 nm, 1494 nm, 2296 nm, 2122 nm, 1144 nm, 1441 nm, 1028 nm, 2416 nm, 1164 nm, 1909 nm, 1000 nm, corresponding to 2448 nm and 2037nm wavelength thunder bamboo shoots test position absorbance.
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| CN104833638B (en) * | 2015-04-15 | 2017-10-20 | 浙江大学 | Double-deck melon and fruit tissue optical property lossless detection method and device based on continuous wave |
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| CN105424653B (en) * | 2015-11-10 | 2018-04-20 | 浙江大学 | The fruit pulp tissue optical property detecting system and method popped one's head in integrated optical fiber |
| CN113702134A (en) * | 2016-11-25 | 2021-11-26 | 国家林业和草原局竹子研究开发中心 | Sample preparation method of bamboo shoot meat analysis sample and application of sample |
| CN112584572B (en) * | 2018-12-29 | 2023-08-25 | 中国计量大学 | Open Office Lighting System |
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