CN115165840A

CN115165840A - Nondestructive producing area distinguishing method and device for China ink

Info

Publication number: CN115165840A
Application number: CN202210777555.1A
Authority: CN
Inventors: 邢碧倩; 施光海; 钰石; 石钰; 龙楚; 袁野; 张昱
Original assignee: China University of Geosciences Beijing
Current assignee: China University of Geosciences Beijing
Priority date: 2022-06-24
Filing date: 2022-06-24
Publication date: 2022-10-11

Abstract

The invention discloses a nondestructive producing area distinguishing method of Cui ink, which comprises the following steps: generating Burma ink jade standard data and dangerous Metala ink jade standard data based on the obtained Burma and dangerous Metala ink jade finished product samples; based on the obtained unknown producing place Moso, testing the phase of the accessory mineral of the unknown producing place Moso by adopting the first testing method, and counting the types and the contents of the accessory mineral obtained by testing the unknown producing place Moso to obtain the data of the accessory mineral of the unknown producing place Moso; analyzing the main minerals of the unknown producing place Mexico jade by adopting a first analysis and calculating and processing the Raman spectrum data to obtain the main mineral data of the unknown producing place Mexico jade; fusing the unknown producing area Mexico jade secondary mineral data with the unknown producing area Mexico jade primary mineral data to obtain unknown producing area Mexico jade data; and comparing the unknown producing area Mexico jade data with the Burma Mexico jade standard data and the Critical Megasa Mexico jade standard data to judge the producing area.

Description

Nondestructive producing area distinguishing method and device for China ink

Technical Field

The present application relates to the field of ink jade producing area distinguishing technology, and is especially one kind of ink jade non-destructive producing area distinguishing method and device, computer equipment and storage medium.

Background

The jadeite is one of jades, and has a fine and dense structure with the epidesmine as a main mineral component. Ink jade does not merely refer to black jade, and the definition of ink jade requires that it be black in natural light, but dark green in transmitted light. Many people easily confuse jadeite with other black jade varieties (jades) because jades are also black in appearance, much like jadeite. The jadeite with a color similar to that of the jadeite comprises common black nephrite and nephrite, black obsidian, black sytian jade, black agate, black hsiuyen jade and the like. Actually, the black jade and the black jade are two completely different concepts, the black jade belongs to jade, and the relative density and the refractive index of the black jade are larger than those of other common black jade; the hardness of the inky jade is between 6 and 7, and the hardness of the inky jade is higher than that of other common inky jade except for black agate. Moreover, the Mexico jade also has a relatively high economic value among these black jades, whereas the gem-grade Mexico jade is produced almost exclusively in Myanmar and Cristallian.

In the market, although both the guaimala and the macadam have high-quality ink jade output, the price difference between the similar-quality ink jade in the two producing areas is large, so that the identification of the macadam ink jade and the guaimala ink jade becomes a new task for jade research in the market. It is difficult for general consumers to judge the reliability of the ink fountain marked by the merchant, and it is a highly experienced professional, but the ink fountain is not identified in mass production from the appearance characteristics such as color and structure. Therefore, it is particularly important to find the authenticating mark for authenticating the ink jade of the production area by a simple and reliable analysis method.

The spectral method is widely applied to the research of gemstones and jades, such as phase identification, synthesis, optimization treatment, imitation identification, inclusion research, ion content detection, cause analysis and the like. Researches on gemology and mineralogy of the Cui have been carried out to some extent, but until now, researches on identification of the places of origin of the Cui Media and the Cui Myanmar based on a spectroscopic method are relatively few, and no public reports are provided. Therefore, the technical field of jewelry identification needs to develop a nondestructive method for identifying the China inkstone origin, and the method for identifying the China inkstone origin based on the Raman spectrum can meet the requirements.

At present, the problems of the identification of the origin of jadeite are as follows:

(1) In the prior art, the production place of jade is identified by using a rock microscope, an electron probe, a laser ablation-plasma mass spectrometer and the like. The method has high requirements on lithology knowledge and theoretical knowledge background of operators, or has complex data processing, needs to have professional mineralogy calculation foundation, or has high requirements on the speciality of data interpretation, and is difficult to popularize.

(2) The tests of a rock microscope, an electron probe, a laser ablation-plasma mass spectrometer and the like can cause damage to samples in the sample preparation process, such as grinding of optical sheets, probe sheets and the like. Wherein the electron probes also need to be carbon plated.

(3) The electronic probe and the laser ablation-plasma mass spectrometer need the calibration of a standard sample in the test, wherein the laser ablation-plasma mass spectrometer needs to test trace elements and also needs to firstly carry out the electronic probe major element test for calibration. Vacuum is required during the testing process.

(4) Instruments such as an electronic probe and a laser ablation-plasma mass spectrometer need to be tested after point selection, the testing time is too long, at least one working day and even one week are often consumed for receiving data, and even if the data quality is found to be poor in the later period, the data is difficult to supplement.

(5) Analytical techniques such as electron probes and laser ablation-plasma mass spectrometry are very expensive.

Disclosure of Invention

In view of the above, a method, an apparatus, a computer device, and a storage medium for non-destructive manufacture of ink cartridge are provided.

In a first aspect, a method of nondestructively discriminating a producing area of an ink set, the method comprising:

A. building a Standard model

Testing known Burma and Critical Delaware finished products to respectively obtain Burma ink and Critical Delaware standard data, wherein the testing process is as follows:

respectively testing the phases of the secondary minerals of the Burma and Cristar mala ink finished products by adopting a first testing method, distinguishing the secondary minerals according to the reflectivity of different secondary minerals and the surface characteristics under reflected light, finding out the secondary minerals in the Burma and Cristar mala ink finished products by utilizing the difference of the reflectivities of the phases of different secondary minerals under reflected light, and counting the types and the contents of the secondary minerals obtained by testing to obtain Burma mala ink secondary mineral data and Cristar mala ink secondary mineral data; wherein the first test method is a reflection method adopted in a Raman spectrometer;

respectively analyzing the main minerals of the Burma and the Critical Mara ink green finished product samples by adopting a first analysis; wherein the first analysis is raman spectroscopy;

calculating and processing the Raman spectrum data to obtain Burma ink emerald main mineral data and dangerous Metala ink emerald main mineral data;

fusing the Burma ink jade secondary mineral data with Burma ink jade primary mineral data to obtain Burma ink jade standard data;

fusing the data of the crista-delavay inkstone secondary minerals and the data of the crista-delavay inkstone main minerals to obtain the data of the crista-delavay inkstone standard;

B. unknown production area ink green production area judgment

Based on the acquired unknown producing area to be distinguished, the ink jade is obtained; testing the phase of the secondary mineral of the unknown producing place Mexico jade by adopting the first testing method, distinguishing the secondary mineral according to the reflectivity and the surface characteristics under reflected light of different secondary minerals, finding out the secondary mineral in the finished products of Myanmar and Cristan Mexico jade by utilizing the difference of the reflectivity of different secondary mineral phases under reflected light, and counting the types and the contents of the secondary mineral obtained by testing to obtain the data of the secondary mineral of Myanmar Mexico jade and the data of the secondary mineral of Cristan Mexico jade; counting the types and the contents of the secondary minerals obtained by testing the mineral to obtain the data of the unknown China inkstone secondary minerals;

analyzing the main minerals of the unknown producing place Mexico jade by adopting a first analysis and calculating and processing the Raman spectrum data to obtain the main mineral data of the unknown producing place Mexico jade;

fusing the unknown producing area Mexico jade secondary mineral data with the unknown producing area Mexico jade primary mineral data to obtain unknown producing area Mexico jade data;

and comparing the unknown producing area Mexico jade data with the Burma Mexico jade standard data and the Critical Megasa Mexico jade standard data to judge the producing area.

In the foregoing scheme, optionally, the testing the phase of the accessory mineral by using the first testing method specifically includes:

randomly selecting a 0.5 x 1.0cm area on the surface of the polished Cui sample, obtaining a micro-reflection map by using a 10x objective lens under the condition of 50% brightness and contrast and 60% light source intensity, and setting a grid map according to the proportion of the micro-reflection map;

calculating the number of the grids occupied by the single specific accessory mineral, and converting the number into the percentage of the area occupied by the grid map;

for accessory minerals with high reflectivity or complex crystallization and cross-substitution histories, the brightness needs to be changed to 20%, the contrast needs to be changed to 80%, and whether the accessory minerals have more complex reflection patterns or other accessory minerals is checked; wherein the reflectivity is a ratio of reflected light to incident light;

switching to a 50x objective increases contrast to 70% and reduces brightness to 30% and detects secondary minerals with a reflectivity similar to the reflectivity of the primary mineral.

In the foregoing scheme, further optionally, the analyzing the main minerals by the first analysis is to obtain raman spectra of the main minerals by a random sampling method; the random sampling method is a method for extracting samples from the population according to a random principle, a polished surface is selected randomly, measuring points are measured once at intervals of 20 mu m by using a line scanning method, and Raman spectrum data of the main mineral are selected.

In the foregoing scheme, further optionally, the calculating the raman spectrum data specifically includes: and (4) removing the base line and normalizing the Raman spectrum data, calibrating the position of the characteristic peak, and extracting the main component.

In the foregoing scheme, further optionally, the determining the production area by comparing the ink jade data of the unknown production area with the burma ink jade standard data and the guatemala ink jade standard data specifically includes:

according to a discriminant function:

y＝(-0.092)*A+0.043*B+0.058*C+0.172*E-0.221*H+112.112

calculating to obtain Fisher discrimination score of the ink jade data of the unknown production area;

wherein y is the Fisher discriminant score obtained by calculation, and A, B, C, E, H are respectively located at 215 (A), 335 (B) and 370 (C) cm ^-1 Nearby M-O stretching vibration, 560 (E) cm ^-1 Nearby O-Si-O bending vibration and 1020 (H) cm ^-1 The wave number of the nearby Si-O symmetric stretching vibration;

wherein the positions are 215 (A), 335 (B) and 370 (C) cm ^-1 Nearby M-O stretching vibration, 560 (E) cm ^-1 Nearby O-Si-O bending vibration and 1020 (H) cm ^-1 Nearby Si-O symmetric stretching vibration is a strong and stable peak of the main mineral in a Raman spectrum;

comparing the Fisher discrimination score of the ink jade data of the unknown production area with the function value at the mass center of the type 1 and the function value at the mass center of the type 2; the function value of the class 1 centroid is obtained by evaluating the dangerous Memara Cui standard data by adopting an average value, and the function value of the class 2 centroid is obtained by evaluating the Burma Cui standard data by adopting an average value;

if the Fisher discrimination score of the unknown producing area inkstone data is closer to the function value at the centroid of the 1 st class, judging that the unknown producing area inkstone is the dangerous Memara inkstone;

and if the Fisher discrimination score of the unknown producing place Mexico jade data is closer to the function value of the class 2 centroid, detecting whether the sub-minerals in the unknown producing place Mexico jade data contain the sub-minerals with the characteristics of the crista Delavayi producing place, if so, judging that the unknown producing place Mexico jade is the crista Delavayi, and if not, judging that the unknown producing place Mexico jade is the Burmese Mexico jade.

In a second aspect, an ink jade non-destructive origin discrimination apparatus, the apparatus comprising:

constructing a model module: the method is used for testing known Burma and Critical Delaware finished products to respectively obtain Burma ink and Critical Delaware standard data, and the testing process is as follows:

respectively testing the phases of the secondary minerals of the Burma and Cratachara finished products by adopting a first testing method, distinguishing the secondary minerals according to the reflectivity of different secondary minerals and the surface characteristics under reflected light, finding out the secondary minerals in the Burma and Cratachara finished products by utilizing the difference of the reflectivity of different secondary mineral phases under reflected light, and counting the types and the contents of the secondary minerals obtained by testing to obtain Burma ink emerald secondary mineral data and Cratachara emerald secondary mineral data; wherein the first test method is a reflection method adopted in a Raman spectrometer;

a judging module: the method is used for judging the unknown producing area based on the acquired ink; testing the phase of the secondary mineral of the unknown producing area molochi by adopting the first testing method, distinguishing the secondary mineral according to the reflectivity and the surface characteristic under reflected light of different secondary minerals, finding the secondary mineral in the unknown producing area molochi by utilizing the difference of the reflectivity of different secondary mineral phases under reflected light, counting the types and the contents of the secondary mineral obtained by testing, and counting the types and the contents of the secondary mineral obtained by testing to obtain the data of the unknown producing area molochi secondary mineral;

In a third aspect, a computer device comprises a memory and a processor, the memory storing a computer program, the processor implementing the following steps when executing the computer program:

A. building a Standard model

B. unknown production area ink green production area judgment

Based on the acquired unknown producing area to be distinguished, the ink jade is obtained; testing the phase of the accessory minerals of the unknown producing place Mexico jade by adopting the first testing method, distinguishing the accessory minerals according to the reflectivity and the surface characteristics under reflected light of different accessory minerals, finding the accessory minerals in the finished products of the Burma and Cratachara Mexico jade by utilizing the difference of the reflectivity of the different accessory minerals under reflected light, and counting the types and the contents of the accessory minerals obtained by testing to obtain the data of the accessory minerals of the Burma Mexico jade and the data of the accessory minerals of the Cratachara Mexico jade; counting the types and the contents of the secondary minerals obtained by testing the mineral to obtain the data of the unknown China inkstone secondary minerals;

analyzing the main mineral of the unknown producing area Mexico jade by adopting a first analysis and calculating and processing the Raman spectrum data to obtain the data of the main mineral of the unknown producing area Mexico jade;

In a fourth aspect, a computer readable storage medium having stored thereon a computer program which when executed by a processor implements the steps of:

A. building a Standard model

respectively testing the phases of the secondary minerals of the Burma and Cratachara finished products by adopting a first testing method, distinguishing the secondary minerals according to the reflectivity of different secondary minerals and the surface characteristics under reflected light, finding out the secondary minerals in the Burma and Cratachara finished products by utilizing the difference of the reflectivity of different secondary mineral phases under reflected light, and counting the types and the contents of the secondary minerals obtained by testing to obtain Burma ink emerald secondary mineral data and Cratachara emerald secondary mineral data; wherein, the first test method is a reflection method adopted in a Raman spectrometer;

B. unknown production area ink green production area judgment

and comparing the unknown producing area Mexico green data with the Burma Mexico green standard data and the dangerous Mara Mexico green standard data to judge the producing area.

The invention has at least the following beneficial effects:

the invention is based on further analysis and research on the problems of the prior art, realizes that in the prior art, only a rock microscope, an electronic probe, a laser ablation-plasma mass spectrometer and the like are used for identifying the producing area of jade, so that the method has higher requirements on lithology knowledge and theoretical knowledge background of an operator, has complex data processing and needs to have professional mineralogy calculation basis, has high requirements on the specialty by data interpretation and is difficult to popularize, and the method for identifying the non-destructive producing area of the indian jade designed by the invention respectively obtains the standard data of the indian jade and the standard data of the badima jade by testing the known finished products of the indian jade and the badima jade, wherein the testing process is as follows:

respectively testing the phases of the secondary minerals of the Burma and Cratachare finished product samples by a reflection method in a Raman spectrometer, and counting the types and the contents of the secondary minerals obtained by testing to obtain Burma and Cratachare secondary mineral data; performing Raman spectrum analysis on main minerals in the Burma and Cristan Malaya Cui finished product samples respectively, and performing calculation processing on Raman spectrum data to obtain Burma Cui main mineral data and Cristan Malaya Cui main mineral data; fusing the Burma ink jade secondary mineral data with Burma ink jade primary mineral data to obtain Burma ink jade standard data; and fusing the data of the secondary minerals of the Critical Mara ink and the data of the main minerals of the Critical Mara ink to obtain the standard data of the Critical Mara ink. The standard model is constructed by the scheme.

And further judging the unknown ink producing area based on the standard model obtained by construction, wherein the specific judging method comprises the following steps:

based on the acquired unknown producing area to be distinguished, the ink jade is obtained; and testing the phase of the secondary mineral of the unknown producing Mexico jade by a reflection method in a Raman spectrometer, counting the types and the contents of the secondary mineral obtained by testing to obtain the data of the unknown producing Mexico jade secondary mineral, performing Raman spectrum analysis on the main mineral in the unknown producing Mexico jade, calculating and processing the Raman spectrum data to obtain the data of the unknown producing Mexico jade primary mineral, fusing the data of the unknown producing Mexico jade secondary mineral and the data of the unknown producing Mexico jade primary mineral to obtain the data of the unknown producing Mexico jade, and comparing the data of the unknown producing Mexico jade with the data of the Burmese jade standard and the data of the Crada Mexico jade standard to judge the producing area. The method gives full play to the role of the advanced technical means of laser Raman spectroscopy in identifying the mineral phase of the jade, and comprehensively distinguishes the side minerals and the main minerals. The method has no complicated sample preparation process, is nondestructive, and has the analysis advantages of in-situ analysis, economy, simple operation, short determination time, high sensitivity and the like. Based on the analysis and processing of the experimental data of the samples of the Cui Media and Myanmar ink, the accuracy rate of the origin discrimination of the samples reaches 100 percent, which shows that the method has good effectiveness, good accuracy and strong applicability. The method has the advantages that the laser Raman spectrum is utilized to identify the Cui, the testing accuracy is high, the operation is simple and convenient, the time consumption is short, the damaged and complex sample pretreatment process is avoided, the relationship between the microscopic heat certificate of the Cui and various contained minerals is disclosed, the foundation is laid for researching the cause and the mineralization mechanism of the Cui, an effective reference method is provided for standardizing the commerce circulation of the Cui, and the method has very important significance for guiding the commerce standardization and the value evaluation.

Drawings

Fig. 1 is a schematic flow chart of a method for identifying the non-destructive production area of inkstone according to an embodiment of the present invention;

FIG. 2 is a schematic diagram of a process for constructing a standard model according to an embodiment of the present invention;

fig. 3 is a schematic flow chart of a method for determining an unknown ink production area according to an embodiment of the present invention;

FIG. 4 is a schematic diagram illustrating the detection principle of the method for nondestructively determining the production area of the inkstone according to an embodiment of the present invention;

FIG. 5 is a diagram illustrating an internal structure of a computer device according to an embodiment.

Detailed Description

In order to make the objects, technical solutions and advantages of the present application more apparent, the present application is described in further detail below with reference to the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are merely illustrative of the present application and are not intended to limit the present application.

The application provides a method for nondestructively judging the production area of the inkstone, and in one embodiment, as shown in fig. 1, the method for nondestructively judging the production area of the inkstone comprises the following steps:

A. building a Standard model

the reflection method is distinguished by applying a micro-Raman spectrum technology according to the reflectivity of different minerals and the surface characteristics under reflected light, and specifically comprises the following steps: randomly selecting a 0.5 x 1.0cm area on the surface of a polished Cui sample, obtaining a micro-reflection map by using a 10x objective lens under 50% of brightness and contrast and 60% of light source intensity, and setting a grid map according to the proportion of the micro-reflection map; calculating the number of the grids occupied by the single specific accessory mineral, and converting the number into the percentage of the area occupied by the grid map; for the accessory minerals with high reflectivity or complicated crystallization and cross-substitution histories, the brightness needs to be changed to 20 percent, the contrast needs to be changed to 80 percent, and whether the accessory minerals have more complicated reflection patterns or other accessory minerals is checked; wherein the reflectivity is a ratio of reflected light to incident light; switching to a 50x objective increases contrast to 70% and reduces brightness to 30% and detects secondary minerals with a reflectivity similar to the reflectivity of the primary mineral.

The reflection method is characterized in that a micro-Raman spectrum technology is applied, and the reflection method is distinguished according to the reflectivity of different minerals and the surface characteristics under reflected light. Reflectance is the ratio of reflected light to incident light. In the micro-area, the light source of the microscope is almost parallel and almost normally illuminates the sample surface. The mineral brightness perceived by human eyes is the visual perception of the light source entering human eyes after being reflected by the mineral. Therefore, the brightness of the mineral in reflected light is mainly affected by the reflectance of the mineral and the polishing conditions of the mineral surface by the influence of light, in addition to the deviation of the medium, light source, incident and exit angles, and human eyes. The higher the reflectivity of the mineral, the more intense the light is perceived by the human eye under similar polishing conditions, and the mineral is considered brighter in reflected light. The mineral content and structure can be further estimated according to the shape, size and contact relationship of different minerals. The mineral content was determined using a geometric quantitative estimation method based on a microscope, a reflected light source. First, a 0.5 x 1.0cm area was selected on the polished surface. A grid is drawn according to the scale of the micro-reflection map. The number of grids occupied by a particular mineral is then observed and estimated, with a total field of view of 100%, and then converted to area percentages. When a mineral is irregularly distributed in the rock, the area percentage measured on a two-dimensional plane may approximately represent the volume fraction of the mineral. Our experiments found that most mineral phases can be distinguished using a 10x objective with a 60% source intensity at 50% brightness and contrast, with a maximum source of 100%. For minerals with high reflectivity or complex crystalline and cross-generative history, it is necessary to change the brightness to 20%, contrast to 80%, and light source intensity to check if they have more complex reflection patterns or other phases. In order to find a secondary mineral with a reflectivity similar to the reflectivity of the primary mineral, it is necessary to switch to a 50x objective, increase the contrast to 70%, and reduce the software brightness to 30% with the light source intensity unchanged. Based on the method, the Raman spectrum can better identify the type, content and structure of the minerals in the rocks of various disciplines, and can accurately capture the spectral difference of the main minerals. These differences can be further analyzed to reveal changes in the mineral chemical composition and crystal structure. The method expands the application field of Raman spectrum and improves the limitation of a nondestructive research system to a certain extent.

Wherein the Burma and Critical Mara Mexico finished samples meet the definition of Mexico and have good polished surfaces. Known modes of obtaining finished Burma and Critical Mara ink samples include, but are not limited to: commercial purchase, sample sending by detection institutions, scientific research sample sharing and the like. The sample is required to satisfy the definition of sepia, that is, to be composed mainly of green pyroxene, to be black under irradiation of natural light or reflected light, and to be green under irradiation of transmitted light. In addition, it is desirable to have a good polishing surface, preferably a vertical thickness of the plane of the polishing surface to be tested of not more than 2cm, so that the ring surface, the bracelet, the brand, and the figurine can be tested.

Respectively analyzing the main minerals of the Burma and the dangerous Mara ink green finished product samples by adopting a first analysis; wherein the first analysis is raman spectroscopy; calculating and processing the Raman spectrum data to obtain Burma ink emerald main mineral data and dangerous Metala ink emerald main mineral data;

the method comprises the following steps of (1) testing the phases of the secondary minerals of the Burma and Critical Marama ink green finished products by a reflection method in a Raman spectrometer, and counting the types and the contents of the secondary minerals obtained by testing the secondary minerals, wherein the specific mode is as follows: and (3) finding out the secondary minerals in the finished products of Myanmar and dangerous Mara ink by using the difference of the reflectivity of different mineral phases under reflected light, further determining the types of the secondary minerals by using Raman spectrum, and counting the content and structure of each type of secondary minerals.

Wherein, the Raman spectrum analysis of the main minerals in the Burma and Critical Mara ink green finished product samples adopts a random sampling method to obtain the Raman spectrum of the main minerals; the random sampling method is a method for extracting samples from the population according to a random principle, a polished surface is selected randomly, measuring points are measured once at intervals of 20 mu m by using a line scanning method, and Raman spectrum data of the main mineral are selected.

Fusing the Burma ink minor mineral data with the Burma ink major mineral data to obtain Burma ink minor standard data. And fusing the data of the secondary minerals of the Critical Mara ink and the data of the main minerals of the Critical Mara ink to obtain the standard data of the Critical Mara ink.

Wherein, the calculating and processing the Raman spectrum data specifically comprises: and (4) removing the base line and normalizing the Raman spectrum data, calibrating the position of the characteristic peak, and extracting the main component.

The method for fusing the Burma Mexico minor mineral data and the Burma Mexico major mineral data is characterized in that the minor mineral data and the major mineral data are stored in the same table, and are convenient to distinguish and utilize after storage.

The method for fusing the Critical Mara ink jade secondary mineral data and the Critical Mara ink jade main mineral data is to store the secondary mineral data and the main mineral data in the same table, so that the secondary mineral data and the main mineral data are convenient to distinguish and utilize.

B. Unknown production area ink green production area judgment

the reflection method is characterized in that a micro-Raman spectrum technology is applied, and the reflection method is distinguished according to the reflectivity of different minerals and the surface characteristics under reflected light, and specifically comprises the following steps: randomly selecting a 0.5 x 1.0cm area on the surface of a polished Cui sample, obtaining a micro-reflection map by using a 10x objective lens under 50% of brightness and contrast and 60% of light source intensity, and setting a grid map according to the proportion of the micro-reflection map; calculating the number of the grids occupied by the single specific accessory mineral, and converting the number into the percentage of the area occupied by the grid map; for the accessory minerals with high reflectivity or complicated crystallization and cross-substitution histories, the brightness needs to be changed to 20 percent, the contrast needs to be changed to 80 percent, and whether the accessory minerals have more complicated reflection patterns or other accessory minerals is checked; wherein the reflectivity is a ratio of reflected light to incident light; switching to a 50x objective increases the contrast to 70% and reduces the brightness to 30% and detects secondary minerals with a reflectivity similar to that of the primary minerals.

Wherein, the reflection method is to use the micro-Raman spectrum technology to distinguish different minerals according to the reflectivity and the surface characteristics under the reflected light. Reflectance is the ratio of reflected light to incident light. In the micro-area, the light source of the microscope is almost parallel and almost normally illuminates the sample surface. The mineral brightness perceived by human eyes is the visual perception of the light source entering human eyes after being reflected by minerals. Therefore, the brightness of the mineral in reflected light is mainly affected by the reflectance of the mineral and the polishing conditions of the mineral surface by the influence of light, in addition to the deviation of the medium, light source, incident and exit angles, and human eyes. The higher the reflectivity of the mineral, the more intense the light is perceived by the human eye under similar polishing conditions, and the mineral is considered brighter in reflected light. Based on the shape, size and contact relationship of different minerals, the mineral content and structure can be further estimated. The mineral content was determined using a geometric quantitative estimation method based on a microscope, a reflected light source. First, a 0.5 x 1.0cm area was selected on the polished surface. A grid is drawn according to the scale of the micro-reflection map. The number of grids occupied by a particular mineral is then observed and estimated, with a total field of view of 100%, and then converted to area percentages. When a mineral is irregularly distributed in the rock, the area percentage measured on a two-dimensional plane may approximately represent the volume fraction of the mineral. Our experiments found that most mineral phases can be distinguished using a 10x objective with a 60% source intensity at 50% brightness and contrast, with a maximum source of 100%. For minerals with high reflectivity or complex crystalline and cross-generative history, it is necessary to change the brightness to 20%, contrast to 80%, and light source intensity to check if they have more complex reflection patterns or other phases. In order to find a secondary mineral with a reflectivity similar to the reflectivity of the primary mineral, it is necessary to switch to a 50x objective, increase the contrast to 70%, and reduce the software brightness to 30% with the light source intensity unchanged. Based on the method, the Raman spectrum can better identify the type, content and structure of the minerals in the rocks of various disciplines, and can accurately capture the spectral difference of the main minerals. These differences can be further analyzed to reveal changes in the mineral chemical composition and crystal structure. The method expands the application field of Raman spectrum and improves the limitation of a nondestructive research system to a certain extent.

Analyzing the main minerals of the unknown producing place Mexico jade by adopting a first analysis and calculating and processing the Raman spectrum data to obtain the main mineral data of the unknown producing place Mexico jade; fusing the unknown producing area Mexico jade secondary mineral data with the unknown producing area Mexico jade primary mineral data to obtain unknown producing area Mexico jade data; and comparing the unknown producing area Mexico jade data with the Burma Mexico jade standard data and the Critical Megasa Mexico jade standard data to judge the producing area.

And carrying out Raman spectrum analysis on the main minerals in the unknown producing area Mexico jade, and carrying out calculation processing on the Raman spectrum data to obtain the data of the main minerals in the unknown producing area Mexico jade.

Performing Raman spectrum analysis on main minerals in the Mexico green finished product sample of an unknown production area by adopting a random sampling method to obtain Raman spectra of the main minerals; the random sampling method is a method for extracting samples from the population according to a random principle, a polished surface is selected randomly, measuring points are measured once at intervals of 20 mu m by using a line scanning method, and Raman spectrum data of the main mineral are selected. Wherein, the calculating and processing the Raman spectrum data specifically comprises: and (4) removing the base line and normalizing the Raman spectrum data, calibrating the position of the characteristic peak, and extracting the main component.

Fusing the unknown producing area Mexico jade secondary mineral data and the unknown producing area Mexico jade main mineral data to obtain unknown producing area Mexico jade data;

the method for fusing the unknown producing area Mexico-jade secondary mineral data and the unknown producing area Mexico-jade main mineral data is characterized in that the secondary mineral data and the main mineral data are stored in the same table, so that the secondary mineral data and the main mineral data are convenient to distinguish and utilize.

Wherein, the method for judging the place of production by comparing the unknown place of production with the Burma Mexico green standard data and the Critical Malata Mexico green standard data specifically comprises the following steps:

according to a discriminant function:

y＝(-0.092)*A+0.043*B+0.058*C+0.172*E-0.221*H+112.112

wherein y is Fisher discrimination score calculated, and A, B, C, E, H are respectively at 215 (A), 335 (B) and 370 (C) cm ^-1 Nearby M-O stretching vibration, 560 (E) cm ^-1 Nearby O-Si-O bending vibration and 1020 (H) cm ^-1 The wave number of the nearby Si-O symmetric stretching vibration;

comparing the Fisher discrimination score of the ink jade data of the unknown production area with the function value at the mass center of the type 1 and the function value at the mass center of the type 2; the functional value of the centroid of the 1 st class is obtained by evaluating the Burma ink green standard data by adopting an average value, and the functional value of the centroid of the 2 nd class is obtained by evaluating the Critical Marla ink green standard data by adopting the average value;

if the Fisher discrimination score of the unknown producing area Mexico jade data is closer to the function value of the centroid of the 1 st class, judging that the unknown producing area Mexico jade is the Critical Mara Mexico jade;

In one embodiment, this example selects 8 representative samples to illustrate, and utilizes a raman peak generated Linear Discriminant (LDA) model of 8 relatively strong and stable peaks in the monoclinic pyroxene raman spectrum to eliminate system noise and any variations generated during the sample characterization process. The extraction of the characteristic peak eliminates irrelevant variables, and only retains the most representative chemical information in the spectral fingerprint area. The eight sets of Raman peaks are at 215 (A), 335 (B) and 370 (C) cm ^-1 Nearby M-O stretching vibration, 510 (D), 560 (E) cm ^-1 Nearby O-Si-O bending vibration, 690 (F) cm ^-1 And Si-O-Si symmetric stretching vibration of 1010 (G) and 1020 (H) cm ^-1 Nearby Si-O vibrates symmetrically.

And generating a discriminant model by using the LDA subjected to cross validation. The pretreatment analysis adopts originPro software, and the statistical analysis adopts SPSS software. A step-wise approach was used in the analysis and the grouping variables defined a range with a minimum of 1 (for the cristemala sample) and a maximum of 2 (for the burma sample). The discrimination results in 1 dictionary discrimination function, and the cumulative percentage reaches 100.0% (table 1).

TABLE 1 eigenvalues

a. The first 1 canonical discriminant function was used in the analysis

Table 2 the discriminant functions obtained in table 1 were examined using wilk Lambda, and the significance level of the functions was 0.000, which all had significant effects on the model.

TABLE 2 Wilck Lambda test

Giving the centroid of the discriminant function. After the mass centers of various types are known, the discrimination result of each case can be obtained only by solving the discrimination score for each case to be discriminated and then calculating which center the scatter point of the case is closest to.

TABLE 3 set of functions at centroid

Class	Function 1
		1	-0.972
2	0.972

Non-standardized canonical discriminant function evaluated by group mean

In this example, the typical discriminant function coefficients of the function are shown in Table 4. The coefficient of the typical discriminant function is the coefficient of the Fisher discriminant function, and the Fisher score can be obtained through the coefficient. According to the mean values of the two types given in table 3, the weighted average value of the two types of mean values is used as a criterion point, and Fisher scores are used for comparison with the criterion point, so that the similarity is the judgment result of the point to be judged.

TABLE 4 typical discriminant function coefficients

Unnormalized coefficients

From the discriminant function coefficients in Table 4, a discriminant function can be obtained:

y＝(-0.092)*A+0.043*B+0.058*C+0.172*E-0.221*H+112.112

wherein y is Fisher discrimination score calculated, and A, B, C, E, H are respectively at 215 (A), 335 (B) and 370 (C) cm ^-1 Nearby M-O stretching vibration, 560 (E) cm ^-1 Nearby O-Si-O bending vibration and 1020 (H) cm ^-1 Nearby Si-O symmetrically stretches the wave number of vibration.

The classification result is displayed based on

TABLE 5 results of the classification

a. 84.0% of the original grouped cases were correctly classified

The final discrimination result needs to comprehensively consider the linear discrimination of the main mineral and the discrimination result of the inclusion characteristics, and the inclusion discrimination result with the production area characteristics has higher priority. That is, the final judgment result of the person who is judged to be the place of origin of crista mala in the principal component linear judgment process can be judged to be crista mala, but the person whose principal component judgment result is mainma malade also needs to perform the verification of the secondary mineral judgment (table 5). The linear discrimination of the sub-mineral can correctly discriminate 75% of the Cultia ink, the linear discrimination of the main component can correctly discriminate 84% of the Cultia ink, and the combination of the two discriminations can accurately discriminate 100% of the Cultia ink.

In one embodiment, a sample of the finished ink product is collected by methods including, but not limited to: commercial purchase, sample delivery by detection institutions, scientific research sample sharing and the like. The sample is required to satisfy the definition of sepia, that is, to be composed mainly of green pyroxene, to be black under irradiation of natural light or reflected light, and to be green under irradiation of transmitted light. In addition, it is desirable to have a good polishing surface, preferably a vertical thickness of the plane of the polishing surface to be tested of not more than 2cm, so that the ring surface, the bracelet, the brand, and the figurine can be tested. As the high-quality Cui on the market is almost from Burma and Cratachara, the samples selected by the establishment of the method are 4 high-quality Cratachara Cui cards and 4 high-quality Burma Cui cards.

Identifying the accessory minerals by using the difference of the reflectivity of different mineral phases under reflected light, then measuring the types of the accessory minerals by using Raman spectrum, and counting the content and the structure of each type of accessory minerals. The process does not require destructive processing of the sample, but ensures that the test surface is clean and can be wiped and dried sufficiently with alcohol cotton or the like before testing. The test conditions were as follows: the Raman spectrum is completed by combining a Horiba HR-Evolution micro-Raman spectrometer and an Olympus rock-mineral microscope. An excitation light source (spot size about 1 μm) at 532nm, a holographic grating of 600g/mm, a slit width of 100 μm, and a spectral resolution of about 1cm ^-1 Scanning time is 10s, 5 times of accumulated scanning is carried out, and the range of the test wave number is 100-4000cm ^-1 . Raman spectroscopy was performed using a silicon wafer positioned at 520.6cm ^-1 The characteristic peaks of (a) are calibrated. The criteria for judging the ink production place according to the composition and the content of the sub-minerals are as follows: the Myanmala jade very rarely contains secondary minerals, and the Cristamala jade contains 8-23 vol.% of secondary minerals. In order to fully characterize the prevalent characteristics of the main minerals in each sample, raman spectra of the main minerals were obtained using random sampling. The random sampling method is a method of extracting a sample from a population according to a random principle. In this step, the random sampling test is performed by randomly selecting a polished surface and performing a test at a pitch of 20 μm by using a line-scan methodAnd selecting the Raman spectrum data of the monoclinic pyroxene at the secondary measuring point. And the computer automatic control system completes the test. And classifying and screening the tested Raman spectrum data, and removing the test points mixed with the secondary mineral characteristic peak to avoid interference. The raman spectral data processing is then pre-processed, including baseline removal and normalization processing. And then, performing map drawing on all the preprocessed data, and extracting main characteristic peaks as main distinguishing components. Finally, the origin and the place are distinguished by linear discriminant analysis based on the eight principal components. Eight main components are respectively eight groups of Raman peaks which are respectively 215 cm, 335 cm and 370cm ^-1 Near M-O stretching vibration mode, 560cm ^-1 Near O-Si-O bending vibration mode, 690cm ^-1 Nearby Si-O-Si symmetrical stretching vibration mode and position at 1010, 1020cm ^-1 Nearby Si-O symmetric stretching vibration modes. And finally, performing linear discriminant analysis based on the eight principal components. And judging the origin of the Cui based on the Raman spectrum characteristics of the monoclinic pyroxene, and performing linear judgment analysis on the sample of unknown origin based on the Cratamara and Myanmar Cui Raman spectrum databases of the known origin.

Based on the acquired unknown producing area to be distinguished, the ink is green; testing the phase of the secondary mineral of the unknown producing area Mexico jade by a reflection method in a Raman spectrometer, and counting the type and content of the secondary mineral obtained by testing to obtain the data of the secondary mineral of the unknown producing area Mexico jade; performing Raman spectrum analysis on main minerals in the unknown producing area Mexico jade, and performing calculation processing on the Raman spectrum data to obtain data of the main minerals in the unknown producing area Mexico jade; fusing the unknown producing area Mexico jade secondary mineral data with the unknown producing area Mexico jade primary mineral data to obtain unknown producing area Mexico jade data; and comparing the unknown producing area Mexico jade data with the Burma Mexico jade data and the Critical Megasa Mexico jade data to judge the producing area.

Wherein the Burma and Critical Mara Mexico finished product samples meet the definition of Mexico and have good polished surfaces. The specific mode of testing the phase of the secondary mineral of the unknown producing area Mexico jade by a reflection method in a Raman spectrometer and counting the types and the contents of the secondary mineral obtained by testing the phase to obtain the data of the secondary mineral of the unknown producing area Mexico jade is as follows: and (3) finding out the secondary minerals in the sepia esculenta of the unknown area by using the difference of the reflectivity of different mineral phases under reflected light, further measuring the types of the secondary minerals by using Raman spectrum, and counting the content and structure of each type of the secondary minerals. And the Raman spectrum analysis of the main minerals in the unknown China ink jade is to obtain the Raman spectrum of the main minerals by adopting a random sampling method. The calculating and processing of the raman spectrum data specifically comprises: and (4) removing the base line and normalizing the Raman spectrum data, calibrating the position of the characteristic peak, and extracting the main component. Comparing the unknown producing area Mexico jade data with the Burma Mexico jade data and the Critical Megasa Mexico jade data, and judging the producing area specifically as follows: and finally identifying Burma or Cristamala ink jade by comparing the unknown producing ink jade data with Burma ink jade data and the composition and component difference of the secondary mineral and the main mineral in the Cristamala ink jade data.

In the nondestructive producing area distinguishing method of the Mexico jade, the obtained Burma and Cratachara jade finished product samples generate Burma jade data and Cratachara jade data, and the unknown producing area Mexico jade is to be distinguished based on the obtained Burma and Cratachara jade data; the method comprises the steps of testing the phase of a secondary mineral of the unknown producing Mexico jade by a reflection method in a Raman spectrometer, counting the type and content of the secondary mineral obtained by testing to obtain the data of the unknown producing Mexico jade secondary mineral, carrying out Raman spectrum analysis on the main mineral in the unknown producing Mexico jade, carrying out calculation processing on the Raman spectrum data to obtain the data of the unknown producing Mexico jade primary mineral, fusing the data of the unknown producing Mexico jade secondary mineral and the data of the unknown producing Mexico jade primary mineral to obtain the data of the unknown producing Mexico jade, and comparing the data of the unknown producing Mexico jade with the data of the Burmese jade and the data of the Crada Maranglea jade to judge the producing area. The method fully plays a role of the advanced technical means of laser Raman spectroscopy in identifying the jade mineral phase, and comprehensively judges the side minerals and the main minerals. The method has no complicated sample preparation process, is nondestructive, and has the analysis advantages of in-situ analysis, economy, simple operation, short determination time, high sensitivity and the like. Based on the analysis and processing of the experimental data of the samples of the Cui Media and Myanmar ink, the accuracy rate of the origin discrimination of the samples reaches 100 percent, which shows that the method has good effectiveness, good accuracy and strong applicability. The method has the advantages that the laser Raman spectrum is utilized to identify the Cui, the testing accuracy is high, the operation is simple and convenient, the time consumption is short, the damaged and complex sample pretreatment process is avoided, the relationship between the microscopic heat certificate of the Cui and various contained minerals is disclosed, the foundation is laid for researching the cause and the mineralization mechanism of the Cui, an effective reference method is provided for standardizing the commerce circulation of the Cui, and the method has very important significance for guiding the commerce standardization and the value evaluation.

It should be understood that, although the steps in the flowchart of fig. 1 are shown in order as indicated by the arrows, the steps are not necessarily performed in order as indicated by the arrows. The steps are not performed in the exact order shown and described, and may be performed in other orders, unless explicitly stated otherwise. Moreover, at least a part of the steps in fig. 1 may include multiple steps or multiple stages, which are not necessarily performed at the same time, but may be performed at different times, and the order of performing the steps or stages is not necessarily performed in sequence, but may be performed alternately or alternately with other steps or at least a part of the steps or stages in other steps.

While raman spectroscopy is commonly used for phase discrimination, quantitative phase content and distribution analysis in combination with reflected light is not considered sufficiently important. In addition, in the raman spectrum research of jade, the identification of mineral species is often limited, and the more detailed similarity substitution relationship is not deeply researched. In order to overcome the defects of the existing raman spectroscopy technology in application, the invention provides a method for distinguishing the black jade producing area based on raman spectroscopy, which is described in detail below with reference to the accompanying drawings.

Based on the advantage that the reflection method is used in a rock and mineral microscope to often judge the types and the contents of metal minerals, the invention provides the method for distinguishing, counting the contents and observing the structures of most metal and nonmetal phases by combining the reflectivity differences of different phases under reflected light in a Raman spectrum, thereby greatly expanding the application range of the Raman spectrum. The intensity of the Raman spectrum is influenced by conditions such as light source intensity, sample quasi-focusing condition, polishing condition and the like, but the characteristics of each phase can be accurately revealed by the Raman shift of the sample, so that the Raman spectrum can be used for identifying the phase of the Cui mineral in different producing areas, and the phase can be compared with the characteristics of the producing areas to judge the producing areas of unknown samples. In addition, since the raman spectrum can also reveal the changes in composition and structure due to the similarities of mineral species, it is possible to detect the main minerals of the unknown depositional indian jade by using the raman spectrum and to discriminate the place of production.

In the prior art, the production place of jade is identified by using a rock microscope, an electron probe, a laser ablation-plasma mass spectrometer and the like. The method has high requirements on lithology knowledge and theoretical knowledge background of operators, or has complex data processing, needs to have professional mineralogy calculation foundation, or has high requirements on the speciality of data interpretation, and is difficult to popularize. The tests of a rock microscope, an electron probe, a laser ablation-plasma mass spectrometer and the like can cause damage to samples in the sample preparation process, such as grinding of optical sheets, probe sheets and the like. Wherein the electron probes also need to be carbon plated. The electronic probe and the laser ablation-plasma mass spectrometer need the calibration of a standard sample in the test, wherein the laser ablation-plasma mass spectrometer needs to test trace elements and also needs to firstly carry out the electronic probe major element test for calibration. Vacuum is required during the testing process. Instruments such as an electronic probe and a laser ablation-plasma mass spectrometer need to be tested after point selection, the testing time is too long, at least one working day and even one week are consumed to receive data, and even if the data quality is found to be poor in the later period, the data is difficult to supplement.

In the embodiment, the Raman spectrum technology is a nondestructive testing technology, so that the sample is hardly required to be pretreated, and the method is more suitable for jade with high economic value, such as jade. The Raman spectrum does not need a standard sample, does not need vacuum pumping and is more convenient. The Raman spectrum can obtain instant data, and is rapid and efficient. Analytical techniques such as electron probes and laser ablation-plasma mass spectrometry are very expensive, compared to the cost of raman spectroscopy, which is much lower.

The Raman spectrometer is used as a testing instrument for quickly obtaining the Raman spectrum, can meet the testing requirement of an original micro-area of the Cui sample and the requirement for quickly obtaining data, and has sensitive reaction on the identification of silicate minerals and the substitution of the analogs of the same minerals, so that the development of a Cui production place identification method by utilizing the Raman spectrum is feasible. The Raman spectrum analysis technology has the advantages of rapidness, convenience and no damage. The Cui serves as a mineral aggregate, fully utilizes the advantages of Raman spectrum in the aspect of phase identification, can meet the requirement of quickly identifying mineral types and similarities, avoids damage to samples, improves the testing efficiency, saves manpower and material resources, and has remarkable application prospect and economic benefit.

In one embodiment, there is provided an ink-jade non-destructive origin discrimination apparatus including the following program modules:

a judging module: the method is used for judging the unknown producing area based on the acquired ink; testing the phase of the accessory mineral of the unknown producing area Mexico jade by the first testing method, distinguishing the accessory mineral according to the reflectivity and the surface characteristic under reflected light of different accessory minerals, finding the accessory mineral in the unknown producing area Mexico jade by using the difference of the reflectivity of different accessory mineral phases under reflected light, counting the types and the contents of the accessory minerals obtained by testing, and counting the types and the contents of the accessory minerals obtained by testing to obtain the accessory mineral data of the unknown producing area Mexico jade;

Specific limitations regarding the ink jade lossless origin discriminating means can be found in the above limitations regarding the ink jade lossless origin discriminating method, which will not be described in detail herein. The respective modules in the above-described apparatus for non-destructive production place discrimination of ink may be realized in whole or in part by software, hardware, and a combination thereof. The modules can be embedded in a hardware form or independent from a processor in the computer device, and can also be stored in a memory in the computer device in a software form, so that the processor can call and execute operations corresponding to the modules.

In one embodiment, a computer device is provided, which may be a terminal, and its internal structure diagram may be as shown in fig. 3. The computer device includes a processor, a memory, a communication interface, a display screen, and an input device connected by a system bus. Wherein the processor of the computer device is configured to provide computing and control capabilities. The memory of the computer device comprises a nonvolatile storage medium and an internal memory. The non-volatile storage medium stores an operating system and a computer program. The internal memory provides an environment for the operation of an operating system and computer programs in the non-volatile storage medium. The communication interface of the computer device is used for carrying out wired or wireless communication with an external terminal, and the wireless communication can be realized through WIFI, an operator network, NFC (near field communication) or other technologies. The computer program is executed by a processor to implement a method of non-destructive origin discrimination for ink. The display screen of the computer equipment can be a liquid crystal display screen or an electronic ink display screen, and the input device of the computer equipment can be a touch layer covered on the display screen, a key, a track ball or a touch pad arranged on a shell of the computer equipment, an external keyboard, a touch pad or a mouse and the like.

Those skilled in the art will appreciate that the architecture shown in fig. 3 is merely a block diagram of some of the structures associated with the disclosed aspects and is not intended to limit the computing devices to which the disclosed aspects apply, as particular computing devices may include more or less components than those shown, or may combine certain components, or have a different arrangement of components.

In one embodiment, a computer device is provided, which includes a memory and a processor, wherein the memory stores a computer program, and all or part of the procedures in the method of the above embodiment are involved.

In one embodiment, a computer-readable storage medium having a computer program stored thereon is provided, which relates to all or part of the processes of the above-described embodiment methods.

It will be understood by those skilled in the art that all or part of the processes of the methods of the embodiments described above can be implemented by hardware instructions of a computer program, which can be stored in a non-volatile computer-readable storage medium, and when executed, can include the processes of the embodiments of the methods described above. Any reference to memory, storage, database or other medium used in the embodiments provided herein can include at least one of non-volatile and volatile memory. Non-volatile memory may include Read-only memory (ROM, onl MEMor 3), magnetic tape, floppy disk, flash memory, optical memory, or the like. Volatile memory can include Random Access Memory (RAM) or external cache memory. By way of illustration and not limitation, RAM can be in various forms such as Static Random Access Memory (SRAM) or dynamic Random Access memory (D3 semiconductor Random Access memory 3, DRAM) and the like.

The technical features of the above embodiments can be arbitrarily combined, and for the sake of brevity, all possible combinations of the technical features in the above embodiments are not described, but should be considered as the scope of the present specification as long as there is no contradiction between the combinations of the technical features.

The above-mentioned embodiments only express several embodiments of the present application, and the description thereof is more specific and detailed, but not construed as limiting the scope of the invention. It should be noted that, for a person skilled in the art, several variations and modifications can be made without departing from the concept of the present application, which falls within the scope of protection of the present application. Therefore, the protection scope of the present patent application shall be subject to the appended claims.

Claims

1. A method for nondestructively discriminating a producing area of an ink jade, the method comprising:

A. building a Standard model

calculating the Raman spectrum data to obtain Burma ink emerald main mineral data and dangerous zone Mara ink emerald main mineral data;

B. unknown origin ink green origin distinguishing

2. The method according to claim 1, wherein the phase of the secondary mineral is tested by a first test method, which comprises:

randomly selecting a 0.5 x 1.0cm area on the surface of a well-polished Cui sample, using a 10x objective lens, obtaining a micro-reflection image by using a reflection light source with 60% of light source intensity under 50% of brightness and contrast, and drawing a grid consisting of 100 grids with the same size in the micro-reflection image so as to set a statistical grid map;

for the accessory minerals with high reflectivity or complicated crystallization and cross-substitution histories, the brightness needs to be changed to 20 percent, the contrast needs to be changed to 80 percent, and whether the accessory minerals have more complicated reflection patterns or other accessory minerals is checked; wherein the reflectance is a ratio of reflected light to incident light;

3. The method according to claim 1, wherein the analyzing the main mineral by the first analysis is to obtain the Raman spectrum of the main mineral by a random sampling method; the random sampling method is a method for extracting samples from the population according to a random principle, polishing surfaces are randomly selected, measuring points are measured once at intervals of 20 micrometers by using a line scanning method, and Raman spectrum data of the main minerals are obtained.

4. The method according to claim 1, wherein the performing the calculation processing on the raman spectrum data specifically comprises: and (4) removing the base line and normalizing the Raman spectrum data, calibrating the position of the characteristic peak, and extracting the main component.

5. The method according to claim 1, wherein the place of origin is determined by comparing the unknown place of origin ink jade data with the Burma ink jade standard data and the Critical Mara ink jade standard data, specifically:

according to a discriminant function:

y＝(-0.092)*A+0.043*B+0.058*C+0.172*E-0.221*H+112.112

comparing the Fisher discrimination score of the ink jade data of the unknown production area with the function value at the mass center of the type 1 and the function value at the mass center of the type 2; the function value of the class 1 centroid is the weighted average position of the discrimination score of the crime mala ink jade standard data, and the function value of the class 2 centroid is the weighted average position of the discrimination score of the burma ink jade;

6. An ink jade non-destructive origin discrimination apparatus, characterized by comprising:

respectively analyzing the main minerals of the Burma and the dangerous Mara ink green finished product samples by adopting a first analysis; wherein the first analysis is raman spectroscopy;

7. A computer device comprising a memory and a processor, the memory storing a computer program, characterized in that the processor, when executing the computer program, implements the steps of the method of any of claims 1 to 5.

8. A computer-readable storage medium, on which a computer program is stored, which, when being executed by a processor, carries out the steps of the method of any one of claims 1 to 5.