CN117405645B - Qualitative detection method, device, storage medium and system for black butterfly shellfish pearls - Google Patents
Qualitative detection method, device, storage medium and system for black butterfly shellfish pearls Download PDFInfo
- Publication number
- CN117405645B CN117405645B CN202311717865.5A CN202311717865A CN117405645B CN 117405645 B CN117405645 B CN 117405645B CN 202311717865 A CN202311717865 A CN 202311717865A CN 117405645 B CN117405645 B CN 117405645B
- Authority
- CN
- China
- Prior art keywords
- peak intensity
- pearl
- characteristic
- calculation formula
- black butterfly
- 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.)
- Active
Links
- 238000001514 detection method Methods 0.000 title claims abstract description 62
- 235000015170 shellfish Nutrition 0.000 title claims abstract description 26
- 239000011049 pearl Substances 0.000 title claims description 240
- 238000004364 calculation method Methods 0.000 claims abstract description 100
- 238000002189 fluorescence spectrum Methods 0.000 claims abstract description 63
- 238000013507 mapping Methods 0.000 claims abstract description 63
- 238000012360 testing method Methods 0.000 claims abstract description 23
- 238000000034 method Methods 0.000 claims abstract description 17
- 238000004590 computer program Methods 0.000 claims description 20
- XJJWWOUJWDTXJC-UHFFFAOYSA-N [Mn].N1C(C=C2N=C(C=C3NC(=C4)C=C3)C=C2)=CC=C1C=C1C=CC4=N1 Chemical compound [Mn].N1C(C=C2N=C(C=C3NC(=C4)C=C3)C=C2)=CC=C1C=C1C=CC4=N1 XJJWWOUJWDTXJC-UHFFFAOYSA-N 0.000 claims description 16
- 230000005284 excitation Effects 0.000 claims description 11
- 241000237509 Patinopecten sp. Species 0.000 claims description 10
- 235000020637 scallop Nutrition 0.000 claims description 10
- 241000237502 Ostreidae Species 0.000 claims description 7
- 235000020636 oyster Nutrition 0.000 claims description 7
- 238000000295 emission spectrum Methods 0.000 description 14
- 238000001228 spectrum Methods 0.000 description 13
- JQRLYSGCPHSLJI-UHFFFAOYSA-N [Fe].N1C(C=C2N=C(C=C3NC(=C4)C=C3)C=C2)=CC=C1C=C1C=CC4=N1 Chemical compound [Fe].N1C(C=C2N=C(C=C3NC(=C4)C=C3)C=C2)=CC=C1C=C1C=CC4=N1 JQRLYSGCPHSLJI-UHFFFAOYSA-N 0.000 description 8
- 238000001914 filtration Methods 0.000 description 8
- 230000006872 improvement Effects 0.000 description 8
- 230000003595 spectral effect Effects 0.000 description 8
- VTYYLEPIZMXCLO-UHFFFAOYSA-L Calcium carbonate Chemical group [Ca+2].[O-]C([O-])=O VTYYLEPIZMXCLO-UHFFFAOYSA-L 0.000 description 6
- 241000490567 Pinctada Species 0.000 description 6
- 238000013145 classification model Methods 0.000 description 6
- 230000006870 function Effects 0.000 description 6
- 238000012545 processing Methods 0.000 description 6
- 238000001237 Raman spectrum Methods 0.000 description 5
- 238000005516 engineering process Methods 0.000 description 5
- -1 porphyrin compounds Chemical class 0.000 description 5
- 102000011782 Keratins Human genes 0.000 description 4
- 108010076876 Keratins Proteins 0.000 description 4
- 238000004458 analytical method Methods 0.000 description 4
- 239000010437 gem Substances 0.000 description 4
- 229910001751 gemstone Inorganic materials 0.000 description 4
- ZLNQQNXFFQJAID-UHFFFAOYSA-L magnesium carbonate Chemical compound [Mg+2].[O-]C([O-])=O ZLNQQNXFFQJAID-UHFFFAOYSA-L 0.000 description 4
- 229910000021 magnesium carbonate Inorganic materials 0.000 description 4
- 239000001095 magnesium carbonate Substances 0.000 description 4
- 235000014380 magnesium carbonate Nutrition 0.000 description 4
- 241001212699 Pinctada martensii Species 0.000 description 3
- 230000000694 effects Effects 0.000 description 3
- 238000004020 luminiscence type Methods 0.000 description 3
- 229910021645 metal ion Inorganic materials 0.000 description 3
- 238000012986 modification Methods 0.000 description 3
- 230000004048 modification Effects 0.000 description 3
- 150000004032 porphyrins Chemical class 0.000 description 3
- 230000005855 radiation Effects 0.000 description 3
- 239000000126 substance Substances 0.000 description 3
- 238000012549 training Methods 0.000 description 3
- 229910021532 Calcite Inorganic materials 0.000 description 2
- 241000382840 Hyriopsis cumingii Species 0.000 description 2
- 229910000019 calcium carbonate Inorganic materials 0.000 description 2
- 238000004891 communication Methods 0.000 description 2
- 230000000875 corresponding effect Effects 0.000 description 2
- 238000010586 diagram Methods 0.000 description 2
- 239000013505 freshwater Substances 0.000 description 2
- XEEYBQQBJWHFJM-UHFFFAOYSA-N iron Substances [Fe] XEEYBQQBJWHFJM-UHFFFAOYSA-N 0.000 description 2
- 229910052742 iron Inorganic materials 0.000 description 2
- 239000010977 jade Substances 0.000 description 2
- 229910001437 manganese ion Inorganic materials 0.000 description 2
- 229910052751 metal Inorganic materials 0.000 description 2
- 239000002184 metal Substances 0.000 description 2
- 239000000049 pigment Substances 0.000 description 2
- 102000004169 proteins and genes Human genes 0.000 description 2
- 108090000623 proteins and genes Proteins 0.000 description 2
- 239000007787 solid Substances 0.000 description 2
- 230000007704 transition Effects 0.000 description 2
- 241000272194 Ciconiiformes Species 0.000 description 1
- 241000382825 Cristaria plicata Species 0.000 description 1
- WAEMQWOKJMHJLA-UHFFFAOYSA-N Manganese(2+) Chemical compound [Mn+2] WAEMQWOKJMHJLA-UHFFFAOYSA-N 0.000 description 1
- 241000879903 Pteria Species 0.000 description 1
- 238000001069 Raman spectroscopy Methods 0.000 description 1
- 238000000862 absorption spectrum Methods 0.000 description 1
- 238000003491 array Methods 0.000 description 1
- 230000001174 ascending effect Effects 0.000 description 1
- 230000009286 beneficial effect Effects 0.000 description 1
- 230000015572 biosynthetic process Effects 0.000 description 1
- 238000004422 calculation algorithm Methods 0.000 description 1
- 238000012512 characterization method Methods 0.000 description 1
- 238000007635 classification algorithm Methods 0.000 description 1
- 239000002131 composite material Substances 0.000 description 1
- 150000001875 compounds Chemical class 0.000 description 1
- 230000002596 correlated effect Effects 0.000 description 1
- 238000004043 dyeing Methods 0.000 description 1
- 230000005281 excited state Effects 0.000 description 1
- 230000005283 ground state Effects 0.000 description 1
- 210000000936 intestine Anatomy 0.000 description 1
- 238000005259 measurement Methods 0.000 description 1
- 230000007246 mechanism Effects 0.000 description 1
- 238000009659 non-destructive testing Methods 0.000 description 1
- 230000003287 optical effect Effects 0.000 description 1
- 230000009467 reduction Effects 0.000 description 1
- 238000011160 research Methods 0.000 description 1
- 229920006395 saturated elastomer Polymers 0.000 description 1
- 239000004065 semiconductor Substances 0.000 description 1
- 238000010998 test method Methods 0.000 description 1
- 210000001835 viscera Anatomy 0.000 description 1
Classifications
-
- 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
- G01N21/62—Systems in which the material investigated is excited whereby it emits light or causes a change in wavelength of the incident light
- G01N21/63—Systems in which the material investigated is excited whereby it emits light or causes a change in wavelength of the incident light optically excited
- G01N21/64—Fluorescence; Phosphorescence
- G01N21/6402—Atomic fluorescence; Laser induced fluorescence
-
- 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
- G01N21/84—Systems specially adapted for particular applications
- G01N21/87—Investigating jewels
-
- Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
- Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
- Y02A—TECHNOLOGIES FOR ADAPTATION TO CLIMATE CHANGE
- Y02A40/00—Adaptation technologies in agriculture, forestry, livestock or agroalimentary production
- Y02A40/80—Adaptation technologies in agriculture, forestry, livestock or agroalimentary production in fisheries management
- Y02A40/81—Aquaculture, e.g. of fish
Abstract
The invention discloses a qualitative detection method, a device, a storage medium and a system for a black butterfly shellfish pearl, belongs to the technical field of qualitative detection of the black butterfly shellfish pearl, and solves the technical problem that the existing pearl detection method cannot effectively excite the intrinsic peak characteristics of the black butterfly shellfish pearl and further cannot realize qualitative detection of the black butterfly shellfish pearl. The method for qualitatively detecting the pearl of the black butterfly shell comprises the steps of carrying out fluorescence emission spectrum test on a pearl sample to be detected to obtain fluorescence emission spectrum characteristic data of the pearl sample to be detected, calculating a mapping relation between the pearl sample to be detected and the qualitative characteristic of the pearl of the black butterfly shell according to the fluorescence emission spectrum characteristic data and a preset association calculation formula group to obtain a first mapping parameter, and judging whether the pearl sample to be detected is the pearl of the black butterfly shell according to the first mapping parameter and a preset qualitative parameter threshold value. The invention realizes accurate, nondestructive, rapid and indicative judgment of the qualitative attribute of the black butterfly shellfish pearl.
Description
Technical Field
The invention relates to the technical field of qualitative detection of black butterfly shellfish pearls, in particular to a qualitative detection method, a device, a computer-readable storage medium and a system of black butterfly shellfish pearls.
Background
Pearl, english is pearl, is praised as precious stone 'queen' by people. The pearl is an organic precious stone mainly comprising inorganic components and organic components of biological origin, the mass fraction of the inorganic components contained in the pearl is more than 91%, the main body is calcium carbonate (aragonite and calcite), and a small amount of magnesium carbonate (magnesite) is added; the main body of the organic component of the pearl is shell keratin (also called keratin and solid protein) and various pigments, and the mass fraction of the organic component is about 3.5% -7%. The pearls are cultured according to different pinctada to produce different kinds of pearls, such as black butterfly pearl, also called as black pearl of the brook field; jin Diebei pearl, also known as Nanyang pearl; pinctada martensii Bei Zhenzhu, also known as akoya pearl; penguin Bei Zhenzhu, also known as Ma Beizhu; and hyriopsis cumingii pearl, which can be collectively called freshwater pearl. The commercial value difference among different pearl oyster pearls is huge, and due to factors such as the scarcity degree, the difficulty of the cultivation technology, the cultivation time cost and the like of different pearl oyster pearls, the black butterfly oyster pearls in the Tahiti island in the Brinella of the Pacific south China are most scary and precious, and the selling price of a single high-quality black butterfly oyster pearl can be tens of thousands yuan or more. Meanwhile, the technology of processing the white or heterochromatic pearl into black or near-black gray by artificial dyeing or irradiation is also endangered, and the processed pearl is usually a freshwater pearl or other pearl oyster pearl with lower quality, and the economic value is far lower than that of the black butterfly oyster pearl. Therefore, the understanding of the properties of the black butterfly pearl has become a common requirement for consumer groups and industrial chain links in the jewelry industry, and meanwhile, the traceability and qualitative properties of the black butterfly pearl are also the subject of common attention of jewelry and jade jewelry detection institutions and scientific research institutions.
In the prior art, a jewellery and jade jewelry detection mechanism mainly adopts a laser Raman spectrum, an ultraviolet visible near infrared absorbable spectrum and an ultraviolet fluorescence luminescence image observation test mode to carry out the identification of the black butterfly shellfish pearls. The spectrum peak difference and the spectrum intensity of the black butterfly pearl in a specific wave band are tested through the two spectrums, and the identification and the distinction are carried out on the black butterfly pearl and the artificially processed black pearl. The technical means for detecting the black butterfly pearl is mainly based on the distinguishing observation of different detection results and spectral line differences of natural black butterfly pearl and artificially treated black pearl. The Raman spectrum test method generally adopts 785nm or 532nm lasers to test and analyze the pearl sample, and the high-precision Raman spectrometer has complicated detection steps and long time consumption.
However, the prior art still has the following drawbacks: 1. the traditional detection means is mainly used for judging the fluorescence background intensity generated by the dye for treating the black butterfly pearl, and does not analyze the qualitative color cause and biological eigenvalue of the black butterfly pearl, namely, the effective identification and analysis of metal ions and porphyrin compounds in the black butterfly pearl. The fluorescent background of the black butterfly scallop pearl sample is extremely complex and changeable due to the complexity of biological causes and the diversity of dye technology, and the traditional detection means cannot realize effective excitation of biological eigenvalues; 2. the laser Raman spectrum is a spectrum generated by inelastic scattering generated when light irradiates a substance, and a signal is very weak and is easy to interfere, so that the laser Raman spectrum is difficult to realize intrinsic identification of metal ions and porphyrin compounds in the black pterygoid; 3. the ultraviolet visible near infrared absorbable spectrum is a main means for testing the color pearl oyster pearl at present, but the light source is weak in the aspect of testing the pearl, so that the spectrum feedback information is insufficient, and the metal ions and porphyrin compounds in the black pearl oyster pearl cannot be effectively excited to emit light and radiate signals, so that the spectrum detection efficiency and accuracy cannot be effectively verified.
Disclosure of Invention
In view of the above analysis, the embodiments of the present invention aim to provide a method, a device, a computer-readable storage medium and a system for qualitatively detecting a pearl of a black butterfly, which are used for solving the technical problem that the existing pearl detection method cannot effectively excite the intrinsic peak characteristics of the pearl of the black butterfly, and further cannot realize the qualitative detection of the pearl of the black butterfly. The invention realizes accurate, nondestructive, rapid and indicative judgment of the qualitative attribute of the black butterfly shellfish pearl.
The embodiment of the invention provides a qualitative detection method for black butterfly scallop pearls, which comprises the following steps: obtaining fluorescence emission spectrum characteristic data of a test area of a pearl sample to be tested; calculating a first mapping parameter of the pearl sample to be detected and the black butterfly oyster pearl according to the fluorescence emission spectrum characteristic data and the associated calculation formula set; the association calculation formula group comprises a first peak intensity association ratio calculation formula, a second peak intensity association ratio calculation formula, a third peak intensity association ratio calculation formula and a mapping parameter calculation formula; and judging whether the pearl sample to be detected is a black butterfly pearl or not according to the first mapping parameter set and a preset qualitative parameter threshold.
As an improvement of the scheme, the fluorescence emission spectrum characteristic data is obtained by focusing the preset excitation light source on the test area of the pearl sample to be tested and detecting the fluorescence emission spectrum.
As an improvement of the above scheme, calculating the first mapping parameter of the pearl sample to be measured and the black butterfly scallop pearl according to the fluorescence emission spectrum characteristic data and the associated calculation formula set specifically includes: calculating a first peak intensity association ratio, a second peak intensity association ratio and a third peak intensity association ratio of the pearl sample to be detected and the black butterfly scallop pearl according to the fluorescence emission spectrum characteristic data, the first peak intensity association ratio calculation formula, the second peak intensity association ratio calculation formula and the third peak intensity association ratio calculation formula; and calculating the sum value of the first peak intensity association ratio, the second peak intensity association ratio and the third peak intensity association ratio, and taking the sum value as a first mapping parameter of the pearl sample to be detected and the black butterfly pearl.
As an improvement of the scheme, according to the fluorescence emission spectrum characteristic data, the first peak intensity association ratio calculation formula, the second peak intensity association ratio calculation formula and the third peak intensity association ratio calculation formula, the first peak intensity association ratio, the second peak intensity association ratio and the third peak intensity association ratio of the pearl sample to be detected and the black butterfly shellfish pearl are calculated, and specifically the method comprises the following steps: acquiring characteristic first peak intensity, characteristic second peak intensity, characteristic third peak intensity, characteristic fourth peak intensity and characteristic fifth peak intensity from the fluorescence emission spectrum characteristic data; calculating a first peak intensity correlation ratio according to the characteristic first peak intensity, the characteristic second peak intensity, the characteristic third peak intensity and a first peak intensity correlation ratio calculation formula; calculating a second peak intensity correlation ratio according to the characteristic first peak intensity, the characteristic second peak intensity, the characteristic fourth peak intensity and the first peak intensity correlation ratio calculation formula; and calculating a third peak intensity correlation ratio according to the characteristic first peak intensity, the characteristic second peak intensity, the characteristic fifth peak intensity and the first peak intensity correlation ratio calculation formula.
As an improvement of the above solution, determining whether the pearl sample to be tested is a black butterfly pearl according to the first mapping parameter set and a preset qualitative parameter threshold value specifically includes: judging whether the first mapping parameter set is larger than a preset qualitative parameter threshold; if the first mapping parameter set is larger than a preset qualitative parameter threshold, the pearl sample to be detected is a black butterfly pearl; otherwise, the pearl sample to be detected is not a black butterfly pearl.
As a modification of the above scheme, the qualitative rating threshold is 0.4.
As an improvement of the scheme, the excitation light source is a laser with the wavelength of 405+/-1 nm, the laser power of the laser is 10mW-100mW, and the laser line width is smaller than 1nm.
The invention further provides a qualitative detection device for the black butterfly pearl, which comprises a data acquisition unit, a mapping calculation unit and a judging and qualitative unit, wherein the data acquisition unit is used for acquiring preset qualitative spectral characteristic parameters of the black butterfly pearl and fluorescent emission spectral characteristic data of a test area of a pearl sample to be tested; the mapping calculation unit is used for calculating a first mapping parameter of the pearl sample to be detected and the black butterfly pearl according to the fluorescence emission spectrum characteristic data, the qualitative spectrum characteristic parameter of the black butterfly pearl and the associated calculation formula group; the association calculation formula group comprises a first peak intensity association ratio calculation formula, a second peak intensity association ratio calculation formula, a third peak intensity association ratio calculation formula and a mapping parameter calculation formula; the judging and qualitative unit is used for judging whether the pearl sample to be detected is a black butterfly pearl or not according to the first mapping parameter set and a preset qualitative parameter threshold value.
As an improvement of the above-described scheme, the map calculation unit is configured to: calculating a first peak intensity association ratio, a second peak intensity association ratio and a third peak intensity association ratio of the pearl sample to be detected and the black butterfly pearl according to the fluorescence emission spectrum characteristic data, the black butterfly pearl qualitative spectrum characteristic parameter, the first peak intensity association ratio calculation formula, the second peak intensity association ratio calculation formula and the third peak intensity association ratio calculation formula; and calculating the sum value of the first peak intensity association ratio, the second peak intensity association ratio and the third peak intensity association ratio, and taking the sum value as a first mapping parameter of the pearl sample to be detected and the black butterfly pearl.
As an improvement of the above-described scheme, the map calculation unit is configured to: acquiring characteristic first peak intensity, characteristic second peak intensity, characteristic third peak intensity, characteristic fourth peak intensity and characteristic fifth peak intensity from the fluorescence emission spectrum characteristic data; calculating a first peak intensity correlation ratio according to the characteristic first peak intensity, the characteristic second peak intensity, the characteristic third peak intensity and a first peak intensity correlation ratio calculation formula; calculating a second peak intensity correlation ratio according to the characteristic first peak intensity, the characteristic second peak intensity, the characteristic fourth peak intensity and the first peak intensity correlation ratio calculation formula; and calculating a third peak intensity correlation ratio according to the characteristic first peak intensity, the characteristic second peak intensity, the characteristic fifth peak intensity and the first peak intensity correlation ratio calculation formula.
As an improvement of the above-described scheme, the judgment and characterization unit is configured to: judging whether the first mapping parameter set is larger than a preset qualitative parameter threshold; if the first mapping parameter set is larger than a preset qualitative parameter threshold, the pearl sample to be detected is a black butterfly pearl; otherwise, the pearl sample to be detected is not a black butterfly pearl.
Another embodiment of the present invention provides a computer readable storage medium, where the computer readable storage medium includes a stored computer program, and when the computer program runs, controls a device where the computer readable storage medium is located to execute the qualitative detection method of the black butterfly pearl as described above.
Another embodiment of the present invention provides a qualitative detection system for a black butterfly pearl, the qualitative detection system comprising a processor, a memory, and a computer program stored in the memory and configured to be executed by the processor, the processor implementing the method for detecting a black butterfly pearl as described above when the computer program is executed.
Compared with the prior art, the technical scheme has the following beneficial effects:
the invention provides a method, a device, a computer readable storage medium and a system for qualitatively detecting a pearl of a black butterfly, wherein fluorescent emission spectrum test is carried out on a pearl sample to be detected to obtain fluorescent emission spectrum characteristic data of the pearl sample to be detected, a mapping relation between the pearl sample to be detected and the qualitative characteristic of the pearl of the black butterfly is calculated according to the fluorescent emission spectrum characteristic data and a preset association calculation formula group to obtain a first mapping parameter, and whether the pearl sample to be detected is the pearl of the black butterfly is judged according to the first mapping parameter and a preset qualitative parameter threshold. More importantly, the invention can provide rapid and accurate directivity basis for tracing the origin of the pearl.
Drawings
FIG. 1 is a flowchart of a method for qualitative detection of pearl of Pteria nigrum according to an embodiment of the present invention;
fig. 2 is a schematic structural diagram of a qualitative detection device for pearl of black butterfly shellfish according to an embodiment of the present invention.
Detailed Description
The following description of the embodiments of the present invention will be made clearly and completely with reference to the accompanying drawings, in which it is apparent that the embodiments described are only some embodiments of the present invention, but not all embodiments. All other embodiments, which can be made by those skilled in the art based on the embodiments of the invention without making any inventive effort, are intended to be within the scope of the invention.
Detailed description of the preferred embodiments
The embodiment of the invention firstly describes a qualitative detection method for black butterfly shellfish pearls. Fig. 1 is a flowchart of a qualitative detection method for pearl of black butterfly shellfish according to an embodiment of the present invention.
As shown in fig. 1, the qualitative detection method includes:
s1, obtaining fluorescence emission spectrum characteristic data of a test area of a pearl sample to be tested.
In order to realize accurate and efficient detection, the embodiment adopts a fluorescence emission spectrum technology in combination with a laser light-induced fluorescence emission spectrum method and mapping calculation to qualitatively detect whether the pearl sample to be detected is a black butterfly scallop pearl.
The fluorescence emission spectrum test technology is a nondestructive testing method based on the principle of substance structure luminescence. When the substance is stimulated by irradiation of excitation light, electrons transit from the valence band to the conduction band and holes are left in the valence band; the electrons and holes reach their respective unoccupied lowest excited states (in the intrinsic semiconductor, i.e., the conduction band bottom and the valence band top) in the respective conduction and valence bands by relaxation, becoming quasi-equilibrium states; the electrons and holes in the quasi-equilibrium state are subjected to composite luminescence to form a spectrogram of the intensity or energy distribution of light with different wavelengths. The pearl belongs to organic precious stone in the class of gem mineralogy, wherein the inorganic component content of the pearl accounts for more than 91% by mass, and the main body is calcium carbonate (aragonite and calcite), and in additionThere is a small amount of magnesium carbonate (magnesite); the pearl contains 3.5-7% of organic components by mass, and mainly contains shell keratin (also called keratin and solid protein), pigment and compound. The black butterfly pearl is a pearl variety taking black butterfly as a pearl shell, and the inside of a pearl layer is provided with coordination ferriporphyrin and manganese porphyrin compounds formed by iron ions, manganese ions and porphyrin which are secreted by the parts of an mantle, a viscera group, a circular intestine and the like in the black butterfly. The ferriporphyrin and manganese porphyrin compounds in the black butterfly pearl are excited by the laser with the wavelength of 405+/-1 nm, and the excited ferriporphyrin and manganese porphyrin compounds return to the ground state from the lowest vibration energy level of the first excited singlet state to form transition among multiple states, so that a series of continuous luminous radiation is generated by the characteristics of the ferriporphyrin and manganese porphyrin compounds in the black butterfly pearl. Wherein the luminous peak intensity I of luminous radiation energy of the black butterfly pearl i And iron ion, manganese ion and porphyrin formation coordination ferriporphyrin, manganese porphyrin content W i And has linear positive correlation.
Because the laser has the characteristics of good monochromaticity, strong coherence, concentrated direction and high power density, wherein the laser with the wavelength of 405+/-1 nm is an ultraviolet laser source, the excitation of the porphyrin and manganese porphyrin compounds of the black butterfly Bei Zhongtie to a preset excitation state can be realized, and saturated excitation is realized, thereby providing possibility for qualitative and rapid detection and analysis of the pearl of the black butterfly. Compared with the traditional detection means, the Raman spectrum and the ultraviolet visible near infrared absorption spectrum are difficult to realize effective radiation transition, so that signals are weak, and the detection limit cannot be reached. However, other pearl varieties such as Pinctada martensii Bei Zhenzhu, jin Diebei, hyriopsis cumingii and Cristaria plicata do not have ferriporphyrin and manganese porphyrin compounds due to the variety difference of the Pinctada martensii, so that the detection limit effect of the laser fluorescence emission spectrum with the wavelength of 405+/-1 nm is limited.
In one embodiment, the fluorescence emission spectrum characteristic data is obtained by focusing the preset excitation light source on the test area of the pearl sample to be tested and detecting the fluorescence emission spectrum. In one embodiment, the excitation light source is a laser with a wavelength of 405+/-1 nm, the laser power of the laser is 10mW-100mW, and the laser line width is less than 1nm. The abscissa of the fluorescence emission spectrum is the wavelength of the laser light-induced fluorescence emission spectrum, and the wavelength range is 405nm-1100nm; the ordinate is the luminous intensity, which ranges from 0 to 70000.
The test area is the area where the laser strongest power focuses. In one embodiment, when the pearl sample to be tested is a metal inlay finished pearl, the selected test area is avoided from being an inlay metal or pearl hole.
The luminous signals of the black pterygoid lamina pearl are luminous peaks of iron porphyrin and manganese porphyrin energy of the black pterygoid lamina pearl sample; the luminous peak intensity of the iron porphyrin and manganese porphyrin energy of the black butterfly pearl is positively correlated with the iron porphyrin and manganese porphyrin content of the black butterfly pearl:
I i =I s W i ;
wherein I is i The luminous peak intensity of iron porphyrin and manganese porphyrin energy of the black butterfly pearl; w (W) i Iron porphyrin and manganese porphyrin content of the black butterfly pearl; i s Is W i At =100%, the luminous peak intensities of iron porphyrin and manganese porphyrin energies of the black butterfly pearl.
The fluorescence emission spectrum characteristic data is luminous peaks of iron porphyrin and manganese porphyrin energy of a black butterfly pearl sample, and at least comprises but is not limited to a characteristic first peak, a characteristic second peak, a characteristic third peak, a characteristic fourth peak and a characteristic fifth peak.
Specifically, the fluorescence emission spectrum characteristic data in this embodiment includes the following parameters: first peak position P1 (478+ -2 nm), second peak position P2 (502+ -2 nm), third peak position P3 (618+ -2 nm), fourth peak position P4 (652+ -2 nm), fifth peak position P5 (681+ -2 nm), and corresponding characteristic first peak intensity P1', characteristic second peak intensity P2', characteristic third peak intensity P3', characteristic fourth peak intensity P4', and characteristic fifth peak intensity P5', peak area A, half-width FWHM.
In one embodiment, the method further comprises a step of denoising the fluorescence emission spectrum characteristic data, and specifically, the self-adaptive Savitzky-Golay filtering is adopted to smooth the fluorescence emission spectrum characteristic data so as to be used for extracting and judging characteristic peaks. The self-adaptive Savitzky-Golay filtering is a filtering method based on polynomial least square fitting of spectrum data, spectral noise can be reduced after filtering, an accurately restored fluorescence emission spectrum is obtained, and the complexity of processing the characteristic data of the fluorescence emission spectrum and the parameter adjusting difficulty in subsequent steps are reduced.
And S2, calculating a first mapping parameter of the pearl sample to be detected and the black butterfly shellfish pearl according to the fluorescence emission spectrum characteristic data and the associated calculation formula set.
The association calculation formula group comprises a first peak intensity association ratio calculation formula, a second peak intensity association ratio calculation formula, a third peak intensity association ratio calculation formula and a mapping parameter calculation formula.
In one embodiment, calculating the first mapping parameter of the pearl sample to be measured and the black butterfly pearl according to the fluorescence emission spectrum characteristic data and the associated calculation formula set specifically includes: calculating a first peak intensity association ratio, a second peak intensity association ratio and a third peak intensity association ratio of the pearl sample to be detected and the black butterfly scallop pearl according to a first peak intensity association ratio calculation formula, a second peak intensity association ratio calculation formula and a third peak intensity association ratio calculation formula of fluorescence emission spectrum characteristic data; and calculating the sum value of the first peak intensity association ratio, the second peak intensity association ratio and the third peak intensity association ratio, and taking the sum value as a first mapping parameter of the pearl sample to be detected and the black butterfly pearl.
In one embodiment, calculating the first peak intensity association ratio, the second peak intensity association ratio and the third peak intensity association ratio of the pearl sample to be measured and the black butterfly pearl according to the fluorescence emission spectrum characteristic data, the first peak intensity association ratio calculation formula, the second peak intensity association ratio calculation formula and the third peak intensity association ratio calculation formula specifically includes: acquiring characteristic first peak intensity, characteristic second peak intensity, characteristic third peak intensity, characteristic fourth peak intensity and characteristic fifth peak intensity from the fluorescence emission spectrum characteristic data; calculating a first peak intensity correlation ratio according to the characteristic first peak intensity, the characteristic second peak intensity, the characteristic third peak intensity and a first peak intensity correlation ratio calculation formula; calculating a second peak intensity correlation ratio according to the characteristic first peak intensity, the characteristic second peak intensity, the characteristic fourth peak intensity and the first peak intensity correlation ratio calculation formula; and calculating a third peak intensity correlation ratio according to the characteristic first peak intensity, the characteristic second peak intensity, the characteristic fifth peak intensity and the first peak intensity correlation ratio calculation formula.
The first peak intensity association ratio calculation formula is as follows:
R= P3’/（P1’+P2’）；
wherein R is a first peak intensity correlation ratio, P3' is a characteristic third peak intensity, P11' is a characteristic first peak intensity, and P12' is a second peak intensity.
The second peak intensity correlation ratio calculation formula is:
N= P4’/（P1’+P2’）；
wherein N is the correlation ratio of the second peak intensities, P4' is the characteristic fourth peak intensity, P1' is the characteristic first peak intensity, and P2' is the characteristic second peak intensity.
The third peak intensity correlation ratio has the following calculation formula:
Q= P5’/（P1’+P2’）；
wherein Q is the third peak intensity correlation ratio, P5' is the characteristic fifth peak intensity, P1' is the characteristic first peak intensity, and P2' is the characteristic second peak intensity.
And S3, judging whether the pearl sample to be detected is a black butterfly pearl or not according to the first mapping parameter set and a preset qualitative parameter threshold value.
In one embodiment, determining whether the pearl sample to be detected is a black butterfly pearl according to the first mapping parameter set and a preset qualitative parameter threshold value specifically includes: judging whether the first mapping parameter set is larger than a preset qualitative parameter threshold; if the first mapping parameter set is larger than a preset qualitative parameter threshold, the pearl sample to be detected is a black butterfly pearl; otherwise, the pearl sample to be detected is not a black butterfly pearl.
In one embodiment, the qualitative rating threshold is 0.4.
The embodiment of the invention describes a qualitative detection method for a pearl of a black butterfly, which is characterized in that fluorescent emission spectrum characteristic data of a pearl sample to be detected is obtained by carrying out fluorescent emission spectrum test on the pearl sample to be detected, the mapping relation between the pearl sample to be detected and the qualitative characteristic of the pearl of the black butterfly is calculated according to the fluorescent emission spectrum characteristic data and a preset association calculation formula group, a first mapping parameter is obtained, and whether the pearl sample to be detected is the pearl of the black butterfly is judged according to the first mapping parameter and a preset qualitative parameter threshold value. More importantly, the invention can provide rapid and accurate directivity basis for tracing the origin of the pearl.
Second embodiment
In another embodiment of the present invention, a qualitative detection method for a black butterfly pearl is disclosed, which is different from the first embodiment in that after the fluorescent emission spectrum characteristic data of the test area of the pearl sample to be tested is obtained in the step S1, the qualitative detection method for a black butterfly pearl in the present embodiment is different from the data processing step of the pair of fluorescent emission spectrum characteristic data in the first embodiment, that is, the qualitative detection method for a black butterfly pearl in the present embodiment includes the step S4 after the step S1, so as to replace the steps S2 to S3 in the first embodiment.
Specifically, the qualitative detection method for the black butterfly scallop pearl in the embodiment comprises the following steps:
s1, obtaining fluorescence emission spectrum characteristic data of a test area of a pearl sample to be tested.
In this embodiment, the fluorescence emission spectrum characteristic data is the luminescent peaks of iron porphyrin and manganese porphyrin energy of the black butterfly pearl sample, including at least but not limited to a first peak, a second peak, a characteristic third peak, a characteristic fourth peak, and a characteristic fifth peak. Exemplary fluorescence emission spectral feature data include the following parameters: first peak position P1 (478+ -2 nm), second peak position P2 (502+ -2 nm), third peak position P3 (618+ -2 nm), fourth peak position P4 (652+ -2 nm), fifth peak position P5 (681+ -2 nm), and corresponding characteristic first peak intensity P1', characteristic second peak intensity P2', characteristic third peak intensity P3', characteristic fourth peak intensity P4', and characteristic fifth peak intensity P5', peak area A, half-width FWHM.
In one embodiment, the method further comprises a step of denoising the fluorescence emission spectrum characteristic data, and specifically, the self-adaptive Savitzky-Golay filtering is adopted to smooth the fluorescence emission spectrum characteristic data so as to be used for extracting and judging characteristic peaks. The self-adaptive Savitzky-Golay filtering is a polynomial least square fitting filtering method based on spectrum data, and can obtain an accurately restored fluorescence emission spectrum after filtering, so that the accuracy of a detection result is improved. The peak position of the fluorescence emission spectrum data is extracted by adopting a gradient ascending algorithm, the peak intensity, the peak area and the half-peak width of the fluorescence emission spectrum are obtained by using a Voigt function fitting, the original spectral line profile can be better reduced after the Voigt function fitting treatment, the relative error is effectively reduced, and the analysis and measurement accuracy of the peak intensity, the peak area and the half-peak width is improved.
Step S4: expanding the input characteristic vector by the peak position, peak intensity, peak area and half-peak width data of the obtained fluorescence emission spectrum to form a fluorescence emission spectrum characteristic vector set; taking the fluorescence emission spectrum characteristic vector set after vector expansion as a deep forest classification model to be input, and training the deep forest classification model; classifying the trained deep forest classification model to the qualitative fluorescence emission spectrum characteristic data set of the black butterfly shellfish pearl, and outputting the qualitative classification result of the black butterfly shellfish pearl.
According to the qualitative detection method for the black butterfly shellfish pearls, the fluorescence emission spectrum of the pearl sample to be detected is tested to obtain the fluorescence emission spectrum characteristic data of the pearl sample to be detected, the noise reduction treatment is carried out on the fluorescence emission spectrum characteristic data, the deep forest classification model is adopted to obtain the qualitative classification result of the black butterfly shellfish pearls, fewer super parameters can be used by the classification model, a good training effect is achieved, and the accuracy of the output result is improved. The qualitative detection method realizes training of the fluorescence emission spectrum characteristic data of the black butterfly pearl in combination with a classification algorithm and obtains a characteristic classification model, and has the advantages of less detection relative error, high classification precision and better detection effect on the processing of complex spectrum characteristic data compared with the embodiment, so that the detection of the qualitative attribute of the black butterfly pearl and the tracing qualitative detection result of the pearl origin are more accurate.
Detailed description of the preferred embodiments
In addition to the method, the embodiment of the invention also discloses a qualitative detection device for the black butterfly shellfish pearls, which corresponds to the qualitative detection method for the black butterfly shellfish pearls in the first embodiment. Fig. 2 is a schematic structural diagram of a qualitative detection device for pearl of black butterfly shellfish according to an embodiment of the present invention.
As shown in fig. 2, the qualitative detection arrangement comprises a data acquisition unit 11, a mapping calculation unit 12, and a judgment qualitative unit 13.
The data acquisition unit 11 is configured to acquire preset qualitative spectral feature parameters of the black butterfly pearl and fluorescence emission spectral feature data of a test area of the pearl sample to be tested.
The mapping calculation unit 12 is configured to calculate a first mapping parameter of the pearl sample to be measured and the black butterfly oyster pearl according to the fluorescence emission spectrum characteristic data and the associated calculation formula set; the association calculation formula group comprises a first peak intensity association ratio calculation formula, a second peak intensity association ratio calculation formula, a third peak intensity association ratio calculation formula and a mapping parameter calculation formula.
In one embodiment, the mapping calculation unit 12 is configured to: calculating a first peak intensity association ratio, a second peak intensity association ratio and a third peak intensity association ratio of the pearl sample to be detected and the black butterfly scallop pearl according to the fluorescence emission spectrum characteristic data, the first peak intensity association ratio calculation formula, the second peak intensity association ratio calculation formula and the third peak intensity association ratio calculation formula; and calculating the sum value of the first peak intensity association ratio, the second peak intensity association ratio and the third peak intensity association ratio, and taking the sum value as a first mapping parameter of the pearl sample to be detected and the black butterfly pearl.
In one embodiment, the mapping calculation unit 12 is configured to: acquiring characteristic first peak intensity, characteristic second peak intensity, characteristic third peak intensity, characteristic fourth peak intensity and characteristic fifth peak intensity from the fluorescence emission spectrum characteristic data; calculating a first peak intensity correlation ratio according to the characteristic first peak intensity, the characteristic second peak intensity, the characteristic third peak intensity and a first peak intensity correlation ratio calculation formula; calculating a second peak intensity correlation ratio according to the characteristic first peak intensity, the characteristic second peak intensity, the characteristic fourth peak intensity and the first peak intensity correlation ratio calculation formula; and calculating a third peak intensity correlation ratio according to the characteristic first peak intensity, the characteristic second peak intensity, the characteristic fifth peak intensity and the first peak intensity correlation ratio calculation formula.
The judging and qualitative unit 13 is configured to judge whether the pearl sample to be tested is a black butterfly pearl according to the first mapping parameter set and a preset qualitative parameter threshold.
In one embodiment, the determining and qualifying unit 13 is configured to: judging whether the first mapping parameter set is larger than a preset qualitative parameter threshold; if the first mapping parameter set is larger than a preset qualitative parameter threshold, the pearl sample to be detected is a black butterfly pearl; otherwise, the pearl sample to be detected is not a black butterfly pearl.
Wherein the hardware device detection means integrated unit, if implemented in the form of a software functional unit and sold or used as a stand-alone product, may be stored in a computer readable storage medium. Based on such understanding, the present invention may implement all or part of the flow of the method of the above embodiment, or may be implemented by instructing related hardware by a computer program, where the computer program may be stored in a computer readable storage medium, and the computer program may implement the steps of each of the method embodiments described above when executed by a processor. Another embodiment of the present invention provides a computer readable storage medium, where the computer readable storage medium includes a stored computer program, and when the computer program runs, controls a device where the computer readable storage medium is located to execute the qualitative detection method of the black butterfly pearl as described above.
Wherein the computer program comprises computer program code which may be in source code form, object code form, executable file or some intermediate form etc. The computer readable medium may include: any entity or device capable of carrying the computer program code, a recording medium, a U disk, a removable hard disk, a magnetic disk, an optical disk, a computer Memory, a Read-Only Memory (ROM), a random access Memory (RAM, random Access Memory), an electrical carrier signal, a telecommunications signal, a software distribution medium, and so forth. It should be noted that the computer readable medium contains content that can be appropriately scaled according to the requirements of jurisdictions in which such content is subject to legislation and patent practice, such as in certain jurisdictions in which such content is subject to legislation and patent practice, the computer readable medium does not include electrical carrier signals and telecommunication signals.
It should be noted that the above-described apparatus embodiments are merely illustrative, and the units described as separate units may or may not be physically separate, and units shown as units may or may not be physical units, may be located in one place, or may be distributed over a plurality of network units. Some or all of the modules may be selected according to actual needs to achieve the purpose of the solution of this embodiment. In addition, in the drawings of the embodiment of the device provided by the invention, the connection relation between the units indicates that the units have communication connection, and the connection relation can be specifically realized as one or more communication buses or signal lines. Those of ordinary skill in the art will understand and implement the present invention without undue burden.
The embodiment of the invention describes a device for qualitatively detecting a pearl of a black butterfly and a computer-readable storage medium, wherein fluorescent emission spectrum characteristic data of the pearl sample to be detected is obtained by carrying out fluorescent emission spectrum test on the pearl sample to be detected, a mapping relation between the pearl sample to be detected and the qualitative characteristic of the pearl of the black butterfly is calculated according to the fluorescent emission spectrum characteristic data and a preset association calculation formula group to obtain a first mapping parameter, and whether the pearl sample to be detected is the pearl of the black butterfly is judged according to the first mapping parameter and a preset qualitative parameter threshold value. More importantly, the invention can provide rapid and accurate directivity basis for tracing the origin of the pearl.
Detailed description of the preferred embodiments
In addition to the method and the device, the embodiment of the invention also describes a qualitative detection system for the pearl of the black butterfly shellfish.
The black butterfly pearl qualitative detection system comprises a processor, a memory, and a computer program stored in the memory and configured to be executed by the processor, wherein the processor implements the black butterfly pearl qualitative detection method as described above when executing the computer program.
The processor may be a central processing unit (Central Processing Unit, CPU), other general purpose processors, digital signal processors (Digital Signal Processor, DSP), application specific integrated circuits (Application Specific Integrated Circuit, ASIC), off-the-shelf programmable gate arrays (Field-Programmable Gate Array, FPGA) or other programmable logic devices, discrete gate or transistor logic devices, discrete hardware components, or the like. A general purpose processor may be a microprocessor or the processor may be any conventional processor or the like that is the control center of the device, connecting the various parts of the overall device using various interfaces and lines.
The memory may be used to store the computer program and/or modules, and the processor may implement various functions of the apparatus by running or executing the computer program and/or modules stored in the memory, and invoking data stored in the memory. The memory may mainly include a storage program area and a storage data area, wherein the storage program area may store an operating system, an application program (such as a sound playing function, an image playing function, etc.) required for at least one function, and the like; the storage data area may store data (such as audio data, phonebook, etc.) created according to the use of the handset, etc. In addition, the memory may include high-speed random access memory, and may also include non-volatile memory, such as a hard disk, memory, plug-in hard disk, smart Media Card (SMC), secure Digital (SD) Card, flash Card (Flash Card), at least one disk storage device, flash memory device, or other volatile solid-state storage device.
The embodiment of the invention describes a qualitative detection system for a black butterfly pearl, which is characterized in that fluorescent emission spectrum characteristic data of a pearl sample to be detected is obtained by carrying out fluorescent emission spectrum test on the pearl sample to be detected, a mapping relation between the pearl sample to be detected and the qualitative characteristic of the black butterfly pearl is calculated according to the fluorescent emission spectrum characteristic data and a preset association calculation formula group, a first mapping parameter is obtained, and whether the pearl sample to be detected is the black butterfly pearl or not is judged according to the first mapping parameter and a preset qualitative parameter threshold value.
While the foregoing is directed to the preferred embodiments of the present invention, it will be appreciated by those skilled in the art that changes and modifications may be made without departing from the principles of the invention, such changes and modifications are also intended to be within the scope of the invention.
Claims (5)
1. The qualitative detection method for the black butterfly shellfish pearls is characterized by comprising the following steps of:
obtaining fluorescence emission spectrum characteristic data of a test area of a pearl sample to be tested; the fluorescence emission spectrum characteristic data is obtained by focusing a preset excitation light source on a test area of the pearl sample to be tested and detecting the fluorescence emission spectrum, the excitation light source is a laser with the wavelength of 405+/-1 nm, and the fluorescence emission spectrum characteristic data is the luminous peaks of ferriporphyrin and manganese porphyrin of the pearl sample of the pterygoid lamina, and comprises the following parameters: the first peak position P1 is 478+ -2 nm, the second peak position P2 is 502+ -2 nm, the third peak position P3 is 618+ -2 nm, the fourth peak position P4 is 652+ -2 nm, the fifth peak position P5 is 681+ -2 nm, and the corresponding characteristic first peak intensity P1', characteristic second peak intensity P2', characteristic third peak intensity P3', characteristic fourth peak intensity P4', and characteristic fifth peak intensity P5';
calculating a first mapping parameter of the pearl sample to be detected and the black butterfly oyster pearl according to the fluorescence emission spectrum characteristic data and the associated calculation formula set; the association calculation formula group comprises a first peak intensity association ratio calculation formula, a second peak intensity association ratio calculation formula, a third peak intensity association ratio calculation formula and a mapping parameter calculation formula;
judging whether the pearl sample to be detected is a black butterfly pearl or not according to the first mapping parameter and a preset qualitative parameter threshold;
according to the fluorescence emission spectrum characteristic data and the associated calculation formula group, calculating a first mapping parameter of the pearl sample to be detected and the black butterfly shellfish pearl, specifically comprising:
calculating a first peak intensity association ratio, a second peak intensity association ratio and a third peak intensity association ratio of the pearl sample to be detected and the black butterfly scallop pearl according to the fluorescence emission spectrum characteristic data, the first peak intensity association ratio calculation formula, the second peak intensity association ratio calculation formula and the third peak intensity association ratio calculation formula;
calculating the sum value of the first peak intensity association ratio, the second peak intensity association ratio and the third peak intensity association ratio, and taking the sum value as a first mapping parameter of the pearl sample to be tested and the black butterfly pearl;
calculating a first peak intensity association ratio, a second peak intensity association ratio and a third peak intensity association ratio of the pearl sample to be detected and the black butterfly scallop pearl according to fluorescence emission spectrum characteristic data, a first peak intensity association ratio calculation formula, a second peak intensity association ratio calculation formula and a third peak intensity association ratio calculation formula, wherein the method specifically comprises the following steps:
acquiring characteristic first peak intensity, characteristic second peak intensity, characteristic third peak intensity, characteristic fourth peak intensity and characteristic fifth peak intensity from the fluorescence emission spectrum characteristic data;
calculating a first peak intensity correlation ratio according to the characteristic first peak intensity, the characteristic second peak intensity, the characteristic third peak intensity and a first peak intensity correlation ratio calculation formula;
calculating a second peak intensity correlation ratio according to the characteristic first peak intensity, the characteristic second peak intensity, the characteristic fourth peak intensity and a second peak intensity correlation ratio calculation formula;
calculating a third peak intensity correlation ratio according to the characteristic first peak intensity, the characteristic second peak intensity, the characteristic fifth peak intensity and a third peak intensity correlation ratio calculation formula;
the first peak intensity association ratio calculation formula is as follows:
R= P3’/（P1’+P2’）；
wherein R is a first peak intensity association ratio, P3' is a characteristic third peak intensity, P1' is a characteristic first peak intensity, and P2' is a second peak intensity;
the second peak intensity correlation ratio calculation formula is:
N= P4’/（P1’+P2’）；
wherein N is the correlation ratio of the second peak intensity, P4' is the characteristic fourth peak intensity, P1' is the characteristic first peak intensity, and P2' is the characteristic second peak intensity;
the third peak intensity correlation ratio has the following calculation formula:
Q= P5’/（P1’+P2’）；
wherein Q is a third peak intensity correlation ratio, P5' is a characteristic fifth peak intensity, P1' is a characteristic first peak intensity, and P2' is a characteristic second peak intensity;
judging whether the pearl sample to be detected is a black butterfly pearl or not according to the first mapping parameter and a preset qualitative parameter threshold, and specifically comprising the following steps:
judging whether the first mapping parameter is larger than a preset qualitative parameter threshold;
if the first mapping parameter is larger than a preset qualitative parameter threshold, the pearl sample to be detected is a black butterfly oyster pearl;
otherwise, the pearl sample to be detected is not a black butterfly pearl;
the qualitative rating threshold is 0.4.
2. The qualitative detection method of black butterfly pearl according to claim 1, wherein the laser power of the laser is 10mW-100mW, and the laser linewidth is less than 1nm.
3. A qualitative detection device for black butterfly pearl based on the qualitative detection method for black butterfly pearl according to claim 1, wherein the qualitative detection device comprises a data acquisition unit, a mapping calculation unit and a judging qualitative unit, wherein,
the data acquisition unit is used for acquiring fluorescence emission spectrum characteristic data of a test area of the pearl sample to be tested;
the mapping calculation unit is used for calculating a first mapping parameter of the pearl sample to be detected and the black butterfly shell pearl according to the fluorescence emission spectrum characteristic data and the associated calculation formula set; the association calculation formula group comprises a first peak intensity association ratio calculation formula, a second peak intensity association ratio calculation formula, a third peak intensity association ratio calculation formula and a mapping parameter calculation formula;
the judging and qualitative unit is used for judging whether the pearl sample to be detected is a black butterfly pearl or not according to the first mapping parameter and a preset qualitative parameter threshold value.
4. A computer readable storage medium, characterized in that the computer readable storage medium comprises a stored computer program, wherein the computer program, when run, controls a device in which the computer readable storage medium is located to perform the qualitative detection method of black butterfly pearl according to any one of claims 1 to 2.
5. A qualitative detection system for a black butterfly pearl, characterized in that it comprises a processor, a memory and a computer program stored in the memory and configured to be executed by the processor, the processor implementing the qualitative detection method for a black butterfly pearl according to any one of claims 1 to 2 when executing the computer program.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202311717865.5A CN117405645B (en) | 2023-12-14 | 2023-12-14 | Qualitative detection method, device, storage medium and system for black butterfly shellfish pearls |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202311717865.5A CN117405645B (en) | 2023-12-14 | 2023-12-14 | Qualitative detection method, device, storage medium and system for black butterfly shellfish pearls |
Publications (2)
| Publication Number | Publication Date |
|---|---|
| CN117405645A CN117405645A (en) | 2024-01-16 |
| CN117405645B true CN117405645B (en) | 2024-03-29 |
Family
ID=89492929
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN202311717865.5A Active CN117405645B (en) | 2023-12-14 | 2023-12-14 | Qualitative detection method, device, storage medium and system for black butterfly shellfish pearls |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN117405645B (en) |
Citations (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US5239354A (en) * | 1991-06-19 | 1993-08-24 | Russell Kenneth M | Method and apparatus for the positive identification of a natural pearl and for measuring the thickness of the nacre coating of cultured pearls |
| JP2005188978A (en) * | 2003-12-24 | 2005-07-14 | Hamamatsu Photonics Kk | Pearl discrimination method and color discrimination method |
| US8878145B1 (en) * | 2012-07-27 | 2014-11-04 | Yan Liu | Apparatus and method for fluorescence spectral and color measurements of diamonds, gemstones and the like |
| CN110333197A (en) * | 2019-07-22 | 2019-10-15 | 浙江方圆检测集团股份有限公司 | A method of the pearl core color based on uv-visible absorption spectra Yu fluorescent image characteristic differentiation ash colour system pearl |
| CN115905881A (en) * | 2022-09-30 | 2023-04-04 | 国家珠宝玉石首饰检验集团有限公司 | Method and device for classifying yellow pearls, electronic equipment and storage medium |
| CN219842333U (en) * | 2023-04-21 | 2023-10-17 | 宁波工程学院 | Pearl identification system based on fluorescence spectrum |
-
2023
- 2023-12-14 CN CN202311717865.5A patent/CN117405645B/en active Active
Patent Citations (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US5239354A (en) * | 1991-06-19 | 1993-08-24 | Russell Kenneth M | Method and apparatus for the positive identification of a natural pearl and for measuring the thickness of the nacre coating of cultured pearls |
| JP2005188978A (en) * | 2003-12-24 | 2005-07-14 | Hamamatsu Photonics Kk | Pearl discrimination method and color discrimination method |
| US8878145B1 (en) * | 2012-07-27 | 2014-11-04 | Yan Liu | Apparatus and method for fluorescence spectral and color measurements of diamonds, gemstones and the like |
| CN110333197A (en) * | 2019-07-22 | 2019-10-15 | 浙江方圆检测集团股份有限公司 | A method of the pearl core color based on uv-visible absorption spectra Yu fluorescent image characteristic differentiation ash colour system pearl |
| CN115905881A (en) * | 2022-09-30 | 2023-04-04 | 国家珠宝玉石首饰检验集团有限公司 | Method and device for classifying yellow pearls, electronic equipment and storage medium |
| CN219842333U (en) * | 2023-04-21 | 2023-10-17 | 宁波工程学院 | Pearl identification system based on fluorescence spectrum |
Non-Patent Citations (3)
| Title |
|---|
| 卟啉及金属卟啉对珍珠颜色的贡献及致色机理研究;张蕴韬;中国优秀硕士学位论文全文数据库 基础科学辑;20060815(第8期);第A011-15(1-55)页 * |
| 塔希提黑珍珠和处理珍珠的可见吸收光谱表征;黄艺兰;;宝石和宝石学杂志;20060330(第01期);第5-8页 * |
| 天然金珍珠和染色金珍珠的致色因素和鉴定分析方法研究进展;郭倩 等;岩矿测试;20150930;第34卷(第5期);第512-519页 * |
Also Published As
| Publication number | Publication date |
|---|---|
| CN117405645A (en) | 2024-01-16 |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| Li et al. | Recent advances in nondestructive analytical techniques for determining the total soluble solids in fruits: a review | |
| Schreiber et al. | Non-photochemical fluorescence quenching and quantum yields in PS I and PS II: analysis of heat-induced limitations using Maxi-Imaging-PAM and Dual-PAM-100 | |
| Cho et al. | Detection of cuticle defects on cherry tomatoes using hyperspectral fluorescence imagery | |
| Wohlleben et al. | Multichannel carotenoid deactivation in photosynthetic light harvesting as identified by an evolutionary target analysis | |
| Boehme et al. | Examining CDOM fluorescence variability using principal component analysis: seasonal and regional modeling of three-dimensional fluorescence in the Gulf of Mexico | |
| WO2010080611A8 (en) | Apparatus and method for surgical instrument with integral automated tissue classifier | |
| CN105954252B (en) | The qualitative checking method of illegal additive tonyred in a kind of feedstuff | |
| Hasegawa et al. | Separation of Raman spectra from fluorescence emission background by principal component analysis | |
| US10565474B2 (en) | Data processing apparatus, data display system, sample data obtaining system, method for processing data, and computer-readable storage medium | |
| Nekvapil et al. | Color-specific porosity in double pigmented natural 3d-nanoarchitectures of blue crab shell | |
| JP6362744B2 (en) | Inspection apparatus and inspection method using functional light source, functional light source and design method thereof | |
| Schreiber et al. | High-end chlorophyll fluorescence analysis with the MULTI-COLOR-PAM. I. Various light qualities and their applications | |
| CN109313127A (en) | The method and apparatus for implementing the infrared and fluorescence multichannel process to spectroscopic data to carry out spectrum analysis | |
| Raateoja et al. | Fast repetition rate fluorometry is not applicable to studies of filamentous cyanobacteria from the Baltic Sea | |
| CN117405645B (en) | Qualitative detection method, device, storage medium and system for black butterfly shellfish pearls | |
| CN108593567A (en) | Food quality detection method based on smart mobile phone and system | |
| Oliveira et al. | Hormetic effects of low-dose gamma rays in soybean seeds and seedlings: A detection technique using optical sensors | |
| Elen | Spectral reflectance and fluorescence characteristics of natural-color and heat-treated “golden” South Sea cultured pearls | |
| JP2014525028A (en) | Method and system for spectral unmixing of tissue images | |
| Bertrand et al. | Deciphering the chemistry of cultural heritage: targeting material properties by coupling spectral imaging with image analysis | |
| Zhou et al. | Nondestructive testing and visualization of compound heavy metals in lettuce leaves using fluorescence hyperspectral imaging | |
| Pećinar | Raman microscopy in plant science, carotenoids detection in fruit material | |
| Xu et al. | Impact of different classification schemes on discrimination of proteins with noise-contaminated spectra using laboratory-measured fluorescence data | |
| Zhang et al. | Quantitative analysis of cadmium content in tomato leaves based on hyperspectral image and feature selection | |
| Brecko et al. | Revealing invisible beauty, ultra detailed: the influence of low cost UV exposure on natural history specimens in 2D+ digitization |
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 | ||
| GR01 | Patent grant | ||
| GR01 | Patent grant |