CN105181809A - Method and system for identifying jewelry quality based on multi-spectrum analysis - Google Patents
Method and system for identifying jewelry quality based on multi-spectrum analysis Download PDFInfo
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Abstract
The invention is applicable to the technical field of jewelry identification, and provides a method and a system for identifying the jewelry quality based on multi-spectrum analysis. The system for identifying the jewelry quality comprises a multi-spectrum scanning system, a spectrum analysis module and a three-dimensional entity perspective imaging module. The method for identifying the jewelry quality comprises the steps of (1) realizing penetrable complete scanning on a tested jewelry by adopting a multi-spectrum analysis technology; (2) analyzing the material components of the tested jewelry, a ratio and the sizes of all components and the positions of all material components in the tested jewelry according to spectrum information obtained through scanning, simultaneously providing a complete quantitative analysis report, determining the category and the grade of finished products and raw materials of the tested jewelry according to evaluation standards of corresponding jewelries, and realizing the quality identification on jewelries; (3) generating a three-dimensional entity perspective image for a customer to appreciate or an artist to recreate and design by utilizing a digital image technology according to obtained information of the tested jewelry. The method provided by the invention has high practicability and high accuracy, and the identification efficiency of the jewelries is increased.
Description
Technical field
The invention belongs to gemstone testing technical field, particularly relate to a kind of jewelry quality identification method based on many Spectrum Analysis and system.
Background technology
Along with the not only improvement of people's living standard, Jewelry Market is concluded the business enthusiastically, development is rapid.According to statistics, from 2005 to 2013, Jewelry Market sales volume increases about 3.5 times, and within 2013, the Chinese jewelry product total volume of retail sales is more than 4,700 hundred million yuan.In the production and flow process of jewelry, Quality Identification is very important link beyond doubt.
Existing gemstone testing is generally divided into artificial experience to identify and instrumental.The experience of assessor is depended in artificial experience qualification, also has certain subjectivity; Instrumental is from the instrument of simple magnifier, Light-gathering electric torch and so on to modern high-precision instrument.At present, jewelry instrument detects mainly based on following measuring technology: the analytical technologies such as X-ray diffraction, electron probe, infrared absorption spectrum, Raman spectrum, scanning electron microscope.1, X-ray diffraction analysis is one of method of Nondestructive Identification jewel, and to the kind determining gem and jade, differentiation crystalloid and noncrystalline diamond material are a kind of effective means; 2, electron probe can carry out the quantification and qualification of micro-area composition to sample, becomes the powerful differentiating true and false jewel and synthetic cut stone; 3, because infrared spectrogram can reflect chemical composition in gem and jade and architectural feature, natural gemstone and synthetic cut stone can be distinguished according to the distinctive infrared spectrogram of gem and jade, but owing to requiring that detected sample must have surface polishing, the test of infrared spectrum is restricted; 4, Raman spectroscopy technique is a kind of nondestructive means of testing, can distinguish natural gemstone, synthetic cut stone, modification jewel and Counterfeit Item easily; 5, scanning electron microscope can carry out Surface Microtexture and chemical composition analysis to jewel, and sample does not sustain damage, and has become the desirable testing tool of jewel research.
Above-mentioned detection technique, although among the Quality Identification being widely used in jewelry, is obtaining still planless solution in the internal component of gem materials and accurate location and reproduction.
Summary of the invention
Technical matters to be solved by this invention is to provide a kind of jewelry quality identification method based on many Spectrum Analysis and system, realizes easy, efficient, the practical Quality Identification to variety classes jewelry starting material and commodity.
The invention provides a kind of jewelry quality identification method based on many Spectrum Analysis, described method comprises the steps:
Step a, carries out to measured object the spectral information that comprehensive scanning obtains measured object by many spectral scan system;
Step b, analyzes the material composi of measured object, each component ratio and size, the position of each composite material in measured object according to described spectral information, and carries out Quality Identification according to the information of the measured object obtained.
Further, described method also comprises step c, according to the information of the measured object obtained in step b, utilizes Digital image technology to generate 3D solid fluoroscopy images.
Further, described 3D solid fluoroscopy images utilizes Virtual Reality Modeling Language reduction to reproduce on computer screen.
Further, described many spectral scan system comprises 2 reflections many wave spectrums generator, 1 transmission many wave spectrums generator, wave spectrum inductor more than 1, annulus runing rest, measured object pallet, pallet horizontal rail and shielded anechoic chambers;
Described 2 reflections are arranged on described annulus runing rest with many wave spectrums generator, 1 transmission many wave spectrums generator, wave spectrum inductor more than 1, wherein, 2 reflections are arranged on described many wave spectrums inductor both sides respectively with many wave spectrums generator and symmetrical, and described transmission many wave spectrums generator differs 180 degree with described many wave spectrums sensor location; Described annulus runing rest is vertically placed, and its Z-axis is through the center of circle of described annulus runing rest and the straight line of vertical annulus runing rest place plane; Described pallet horizontal rail comprises two tracks, and described two tracks arrange along the vertical axis of described annulus runing rest and are horizontal distribution; Described measured object pallet is placed in described pallet horizontal rail, and measured object to be placed on measured object pallet and to be in the center of described annulus runing rest; Above-mentioned each device is all positioned in described shielded anechoic chamber;
The scan method of described many spectral scan system is specially:
Steps A, 2 reflections send ripple respectively with many wave spectrums generator and 1 transmission many wave spectrums generator, and described many wave spectrums inductor receives reflection wave and transmitted wave, and obtains corresponding spectral information on many wave spectrums inductor;
Step B, clockwise or be rotated counterclockwise the certain angle of annulus runing rest, repeats steps A, until annulus runing rest completes the rotation of 360 degree, completes the complete scan to measured object.
Further, the scan method of described many spectral scan system also comprises step C, if measured object exceedes the width that once can scan along the size of described annulus runing rest vertical axis, then being moved along described pallet horizontal rail by measured object pallet once can the distance of sweep length, repeat step B, until complete the whole scannings to measured object.
Further, described shielded anechoic chamber by can isolation environment ripple, many spectral scan system produce electromagnetic metal material make.
Further, described many wave spectrums generator comprises the one in sonic generator, wave generator, light wave generator, x-ray generator; Described many wave spectrums inductor comprises the one in acoustic wave, electric wave inductor, light wave inductor, X-ray inductor; Described many wave spectrums generator select above-mentioned wherein a kind of time, described many wave spectrums inductor selects the one corresponding with described many wave spectrums generator.
Further, described many wave spectrums inductor comprises camera lens or detector, CCD sensing device or CMOS sensing device, and described camera lens or detector are used for doing slit diffraction and grating process to the reflection wave received and transmitted wave; Described CCD sensing device or CMOS sensing device are for obtaining corresponding reflectance spectrum information and transmitted wave spectrum information.
Present invention also offers a kind of jewelry Quality Identification system based on many Spectrum Analysis, described system comprises:
Many spectral scan system, obtains the spectral information of measured object for carrying out comprehensive many spectral scan to measured object;
Spectrum Analysis module, for analyzing the material composi of measured object, each component ratio and size, the position of each composite material in measured object according to described spectral information, and carries out Quality Identification according to the information of the measured object obtained.
Further, described system also comprises 3D solid perspective imaging module, for the information of measured object obtained according to described Spectrum Analysis module, utilizes Digital image technology to generate 3D solid fluoroscopy images.
Further, described 3D solid fluoroscopy images utilizes Virtual Reality Modeling Language reduction to reproduce on computer screen.
Further, described many spectral scan system comprises 2 reflections many wave spectrums generator, 1 transmission many wave spectrums generator, wave spectrum inductor more than 1, annulus runing rest, measured object pallet, pallet horizontal rail and shielded anechoic chambers;
Described 2 reflections are arranged on described annulus runing rest with many wave spectrums generator, 1 transmission many wave spectrums generator, wave spectrum inductor more than 1, wherein, 2 reflections are arranged on described many wave spectrums inductor both sides respectively with many wave spectrums generator and symmetrical, and described transmission many wave spectrums generator differs 180 degree with described many wave spectrums sensor location; Described annulus runing rest is vertically placed, and its Z-axis is through the center of circle of described annulus runing rest and the straight line of vertical annulus runing rest place plane; Described pallet horizontal rail comprises two tracks, and described two tracks arrange along the vertical axis of described annulus runing rest and are horizontal distribution; Described measured object pallet is placed in described pallet horizontal rail, and measured object to be placed on measured object pallet and to be in the center of described annulus runing rest; Above-mentioned each device is all positioned in described shielded anechoic chamber;
Described 2 reflections send reflection wave with many wave spectrums generator, and described 1 transmission many wave spectrums generator sends transmitted wave, and described many wave spectrums inductor receives reflection wave and transmitted wave, and obtains corresponding spectral information on many wave spectrums inductor;
Described annulus runing rest can carry out the rotation of 360 degree clockwise or counterclockwise;
Described measured object pallet can move along described pallet horizontal rail.
Further, described shielded anechoic chamber by can isolation environment ripple, many spectral scan system produce electromagnetic metal material make.
Further, described many wave spectrums generator comprises the one in sonic generator, wave generator, light wave generator, x-ray generator; Described many wave spectrums inductor comprises the one in acoustic wave, electric wave inductor, light wave inductor, X-ray inductor; Described many wave spectrums generator select above-mentioned wherein a kind of time, described many wave spectrums inductor selects the one corresponding with described many wave spectrums generator.
Further, described many wave spectrums inductor comprises camera lens or detector, CCD sensing device or CMOS sensing device, and described camera lens or detector are used for doing slit diffraction and grating process to the reflection wave received and transmitted wave; Described CCD sensing device or CMOS sensing device are for obtaining corresponding reflectance spectrum information and transmitted wave spectrum information.
The present invention compared with prior art, beneficial effect is: the invention provides a kind of jewelry quality identification method based on many Spectrum Analysis and system, after completing all reflections and transmission scan, obtain jewelry composition and internal structural information by the analysis of many spectral scan, and provide complete accurate analytical statement for the ratio of heterogeneity in this jewelry or starting material and position etc.According to evaluating standard, determine category and the grade of tested jewelry, and then realize the Quality Identification to variety classes jewelry starting material and commodity.The method has the accuracy of practicality, height widely, can improve the determination rates to jewelry.Simultaneously, 3D solid fluoroscopy images can be generated according to the Information Pull Digital image technology of the measured object obtained, utilizing numerical software and VRML technology truly to reduce is reproduced on computer screen, make this jewelry three-dimensional internal image can under the manipulation of mouse arbitrarily rotate, mitigation and amplification; Whole structure can be enjoyed from different perspectives, also can observe local detail from arbitrarily angled.
Accompanying drawing explanation
Fig. 1 is the jewelry quality identification method process flow diagram based on many Spectrum Analysis that the embodiment of the present invention provides;
Fig. 2 is the sectional view of many spectral scan system that the embodiment of the present invention provides;
Fig. 3 is the stereographic map of many spectral scan system that the embodiment of the present invention provides;
Fig. 4 is the schematic diagram of the jewelry Quality Identification system based on many Spectrum Analysis that the embodiment of the present invention provides.
Embodiment
In order to make object of the present invention, technical scheme and advantage clearly understand, below in conjunction with drawings and Examples, the present invention is further elaborated.Should be appreciated that specific embodiment described herein only in order to explain the present invention, be not intended to limit the present invention.
The thought that mainly realizes of the present invention is: based on different material to different wave reflection and transmissison characteristic, adopt many spectral scan technology, realizes scanning completely tested jewelry penetrability; The material composi of measured object, each component ratio and size, the position of each composite material in measured object is analyzed according to scanning the spectral information obtained, complete quantitative test report is provided simultaneously, and according to the evaluating standard of corresponding jewelry, determine tested jewelry finished product and raw-material category and grade, and then realize the Quality Identification to jewelry; Further, can generate 3D solid fluoroscopy images according to the Information Pull Digital image technology of the measured object obtained, its 3D solid fluoroscopy images also can appreciate for consumer or artist recreates design.
Lower mask body introduces this jewelry quality identification method based on many Spectrum Analysis, and as shown in Figure 1, described method comprises the steps:
Step a, carries out to measured object the spectral information that comprehensive scanning obtains measured object by many spectral scan system;
Step b, according to described spectral information and based on different material to different wave reflection and transmissison characteristic, analyze the material composi of measured object, each component ratio and size, the position of each composite material in measured object, and carry out Quality Identification according to the information of the measured object obtained.
Described method also comprises step c, according to the information of the measured object obtained in step b, utilizes Digital image technology to generate 3D solid fluoroscopy images.
Described 3D solid fluoroscopy images utilize Virtual Reality Modeling Language reduce reproduce on computer screen, operator can by mouse rollovers, zoom in or out, realize the analysis to measured object and appreciation.
Be illustrated in figure 2 the sectional view of many spectral scan system, described many spectral scan system comprises wave spectrum inductor more than 11,2 reflection many wave spectrums generator 2,1 transmission many wave spectrums generator 3, annulus runing rest 4, measured object pallet 5, pallet horizontal rail 6 and shielded anechoic chamber (not shown);
Described annulus runing rest 4 be one vertically lay can 360 degree of ring supports rotated, its Z-axis is through the center of circle of described annulus runing rest 4 and the straight line of vertical annulus runing rest 4 place plane; Described 2 reflections are arranged on described annulus runing rest 4 with many wave spectrums generator 2,1 transmission many wave spectrums generator wave spectrum inductor 1 more than 3,1, wherein, 2 reflections are arranged on described many wave spectrums inductor 1 both sides respectively with many wave spectrums generator 2 and symmetrical, described transmission many wave spectrums generator 3 differs 180 degree with described many wave spectrums inductor 1 position, and described many wave spectrums generator 2 is relative fixing with described annulus runing rest 4 position; Described pallet horizontal rail 6 comprises two tracks, and described two tracks arrange along the vertical axis of described annulus runing rest 4 and are horizontal distribution; Described measured object pallet 5 is placed in described pallet horizontal rail 6 and also can slides along pallet horizontal rail 6, and measured object is placed on measured object pallet 5, and measured object is in the center of annulus runing rest 4 substantially.
As shown in Figure 3, above-mentioned device is all placed in described shielded anechoic chamber 7, and 8 is the shield door of described shielded anechoic chamber, and described shielded anechoic chamber 7 is made up of the metal material that density is higher, the impact of environment ripple on test effect can be reduced, electromagnetic wave also can be avoided to cause the impact on environment to external radiation.
The material of measured object pallet 5 has less transmission loss in test wave band, can select the material different with the wave spectrum perspectivity of measured object.As, glass is substantially transparent in visible light wave range.
The scan method of described many spectral scan system is specially:
Steps A, 2 reflections send ripple respectively with many wave spectrums generator 2 and 1 transmission many wave spectrums generator 3, and described many wave spectrums inductor 1 receives reflection wave and transmitted wave, and obtain the spectral information of a stripe region on many wave spectrums inductor 1;
Step B, clockwise or be rotated counterclockwise the certain angle of annulus runing rest, repeats steps A, until annulus runing rest 4 completes the rotation of 360 degree, completes the complete scan to measured object.
In fact, if measured object size is less, rotation sweep of 360 degree can complete the complete scan to this object; But, if measured object exceedes the width that once can scan along the size of described annulus runing rest 4 vertical axis, then after stepb, measured object pallet is moved a distance (removable once can the distance of sweep length) along described pallet horizontal rail 6, continue to scan according to the mode of steps A and step B, until complete the whole longitudinal scannings to measured object.
Described many wave spectrums generator is made up of with many wave spectrums generator 2 and 1 transmission many wave spectrums generator 32 reflections.Can be sound wave (containing infrasonic wave, sound wave, ultrasound wave) generator, electric wave (containing low frequency, high frequency, ultrahigh frequency, microwave) generator, light wave (containing infrared, visible ray and ultraviolet) generator, x-ray generator etc.; Many wave spectrums generator of every wave band can produce the ripple of a wavelength range, and as metal halid lamp can produce the wavelength of 300-2000nm, ultrasonic generator can produce the different ripples etc. of below 40KHz.
Described many wave spectrums inductor 1 refers to sound wave (containing infrasonic wave, sound wave, the ultrasound wave) inductor of above-mentioned correspondence, electric wave (containing low frequency, high frequency, ultrahigh frequency, microwave) inductor, light wave (containing infrared, visible ray and ultraviolet) inductor, X-ray inductor etc.; Many wave spectrums inductor 1 of every wave band can respond to the ripple of a wavelength range, and inductor as multispectral in visible ray can respond to 400-710nm wavelength, and 5nm is all spectral characteristics of resolution.
Many wave spectrums inductor 1 is made up of camera lens (or detector) and CCD sensing device or CMOS sensing device etc., camera lens is responsible for docking collection of letters breath and is done similar slit diffraction and grating process, sensing device is enable to obtain in a rectangular pixel region, the transmitted wave spectrum information of every bit and reflectance spectrum information.
Have different wave reflection, refraction and transmissison characteristic based on different material, described many spectral scan system can select different many wave producers and corresponding many wave spectrums inductor according to the characteristic of tested main material.When prior unknown main material kind, multiple testing scheme can be prepared, select multiple wave spectrum generator and corresponding wave spectrum inductor to test, until obtain the analysis data of effective all material; After many wave spectrums generator is selected, the type of selected described many wave spectrums inductor 1 should be corresponding with the type of described many wave spectrums generator.
After completing all reflections and transmission scan, analyze the material composi of measured object, each component ratio and size, the position of each composite material in measured object according to described spectral information; And complete accurate analytical statement can be provided to the ratio of different material in this jewelry or starting material and position etc., simultaneously according to evaluating standard, determine category and the grade of tested jewelry, and then realize the Quality Identification to measured object.
3D solid perspective imaging is the whole spectral informations obtaining, and forms an intactly 3D solid fluoroscopy images by related algorithm and Digital image technology.Utilize numerical software and VRML technology truly to reduce to be reproduced on computer screen.Make this jewelry three-dimensional internal image can under the manipulation of mouse arbitrarily rotate, mitigation and amplification; Whole structure can be enjoyed so from different perspectives, also can observe local detail from arbitrarily angled; Design can be recreated for artist, also can be used for consumer to appreciate, buy.
Present invention also offers a kind of jewelry Quality Identification system based on many Spectrum Analysis, as shown in Figure 4, described system comprises:
Many spectral scan system 10, obtains the spectral information of measured object for carrying out comprehensive many spectral scan to measured object;
Spectrum Analysis module 20, for analyzing the material composi of measured object, each component ratio and size, the position of each composite material in measured object according to described spectral information, and carries out Quality Identification according to the information of the measured object obtained.
3D solid perspective imaging module 30, for the information of measured object obtained according to described Spectrum Analysis module 20, utilizes Digital image technology to generate 3D solid fluoroscopy images.
Act one is about the Application Example of emerald fabrication design below:
" One cannot become useful without being educated ", the artwork of raw jadeite after chiseling and carving is worth high; But the flow process made the emerald artwork is at present selected materials, sawing sheet, purposes location and design etc.Because the feature of emerald raw material is shaped closely bound up with processing, need veteran master worker to select materials, guarantee the value of finished goods value preserving that raw material makes; Emerald sawing sheet is the key link in raw jadeite processing technology, there is some gambling stone person sawing sheet impatient, a cutter goes down, and the emerald green color part of emerald may be cut away, make the emerald left can not do complete engraving, reduce emerald due value originally; The purposes location of emerald needs in conjunction with emerald internal feature with design, just can make similar " emerald Chinese cabbage " works that the green stem of leaf is white.Exist serious weak point can be found that there is in the description of emerald ornameutal handiwork above: to emerald select materials and sawing sheet difficulty very big.Owing to being difficult to the feature knowing emerald raw material inside, artist changes the safety of emerald making to the location of raw jadeite and a design useful time, but still there is the situation of processing and not complying with one's wishes.
But utilize the jewelry quality identification method of multispectral analysis, the creativity of artist to emerald can be improved greatly.
Raw jadeite is placed on pallet as measured object, puts into many wave spectrums detector.According to the physical characteristics of emerald, select suitable many wave spectrums generator and many wave spectrums inductor.Described many wave spectrums generator and many wave spectrums inductor do 360 degree of rotations with annulus runing rest, according to tested accuracy requirement, obtain image and the spectral information of a transmittance and reflectance every corresponding angle (as 10 degree).After completing 360 scannings, if the size of tested raw jadeite is greater than the size that many wave spectrums inductor once can obtain, then measured object pallet moves a distance (removable many wave spectrums inductor once can the distance of sweep length) along pallet horizontal rail, carry out the scanning of 360 degree again, until complete whole scanning.
The full detail that Spectrum Analysis module obtains according to scanning, analyzes whole spectral informations of this raw jadeite, generates analysis report; And calculated by 3D solid perspective imaging module and generate the 3D solid fluoroscopy images of measured object emerald, the internal feature of emerald raw material is complete to be reacted on 3D solid skeleton view, comprises emerald main material and Impurity Distribution, color characteristic distribution etc.Now, the three-dimensional plot that artist has the distribution of emerald internal feature by this is conceived one step ahead, then processes emerald raw material.Solve like this and emerald raw material is selected materials the risk that sawing sheet exists, also save artist's uncertainty that emerald is designed.Therefore, by this method, artist can improve the utilization factor of emerald raw material, also improves the creation efficiency of the emerald artwork simultaneously.
Lift an Application Example identified about the former stone of jewelry below again:
The former stone of jewelry that mining obtains is through the long-term elegance and talent of the Nature, and there is one deck coverture on a lot of surface, needs rich experience to the judgement of inner texture, even if time veteran jewelry expert also has judgement to see wrong, so-called " cutter is poor, and a cutter is rich ".As being called " woollen " without the raw jadeite of processing, in emerald trade market, woollen is also referred to as " stone ", entirety is all enclose by cot, do not cut, also the emerald woollen of non-windowing (also claiming the son that opens the door) is called " gambling stone ", or claims " gambling goods ".The crust of gambling stone wraps up in thin or thick original stone skin, and different gambling stone varies in color, and red, yellow, white, black all have, and also has color mixture.Jewelry circle has a jargon: gambling stone is as gambling life, and gambling has been won, and ten times of hundred times of ground are earned, and become rich man overnight; Gamble in the flue, all are all defeated pays for light to the greatest extent.
Because different material has special reflection to different ripples, refraction and transmission property, when prior unknown main material kind, can prepare multiple testing scheme, select multiple wave spectrum to test.As selected sound wave, electric wave and light wave generator and corresponding many wave spectrums inductor to test respectively, until obtain the analysis data (proportion that namely various material is shared and position branch) of effective all material wherein and produce 3D solid fluoroscopy images.
Specific as follows:
Select sonic generator and inductor, be that measured object is placed on pallet by former for tested jewelry masonry, put into many wave spectrums detection system.Many wave spectrums inductor and reflection wave generator and transmitted wave generator do 360 degree of rotations with annulus runing rest, according to tested accuracy requirement, obtain image and the spectral information of a transmittance and reflectance every corresponding angle (as 10 degree).After completing 360 degree of scannings, if the size of the former stone of tested jewelry is greater than the size that many wave spectrums inductor once can obtain, then measured object pallet moves a distance (removable many wave spectrums inductor once can the distance of sweep length) along pallet horizontal rail, carry out the scanning of 360 degree again, until complete whole scanning.
The information that gem materials Spectrum Analysis module obtains according to scanning, analyzes whole spectral informations of the former stone of this jewelry, generates analysis report.If analysis report complete expression can not go out all material characteristic, then can use wave generator and inductor, light wave generator and inductor etc. successively instead.Until obtain relatively completely (according to client need select 80%-99% even 99.99%) internal material analysis report.
Then calculated by three-dimensional perspective image-forming module and generate the 3D solid fluoroscopy images of measured object.The internal feature of the former stone of jewelry is complete to be reacted on 3D solid fluoroscopy images, comprises the former stone main material of jewelry and Impurity Distribution, color characteristic distribution etc.Analysis report, also according to jewelry standard, provides category and the rank of the former stone of surveyed jewelry.
The invention provides a kind of jewelry quality identification method based on many Spectrum Analysis and system, after completing all reflections and transmission scan, jewelry composition and internal structural information is obtained by the analysis of many spectral scan, the testing agency of specialty can provide complete accurate analytical statement for the ratio of heterogeneity in this jewelry or starting material and position etc., and according to evaluating standard, determine category and the grade of tested jewelry, and then realize the Quality Identification to variety classes jewelry starting material and commodity; The method has the accuracy of practicality, height widely, can improve the determination rates of mechanism to jewelry.
In the general transaction process of jewelry electricity business, jewelry to be vended by multispectral technology for detection, is obtained the quantitative information of jewelry composition and inner structure and generates jewelry interior three-dimensional entity fluoroscopy images by Digital image technology by the seller; The tie element of jewelry and interior three-dimensional entity fluoroscopy images are published on electric business's platform by the seller, recognize real jewelry details for the buyer, select to buy the type liked.
The foregoing is only preferred embodiment of the present invention, not in order to limit the present invention, all any amendments done within the spirit and principles in the present invention, equivalent replacement and improvement etc., all should be included within protection scope of the present invention.
Claims (15)
1. based on a jewelry quality identification method for many Spectrum Analysis, it is characterized in that, described method comprises the steps:
Step a, carries out to measured object the spectral information that comprehensive scanning obtains measured object by many spectral scan system;
Step b, analyzes the material composi of measured object, each component ratio and size, the position of each composite material in measured object according to described spectral information, and carries out Quality Identification according to the information of the measured object obtained.
2. jewelry quality identification method as claimed in claim 1, it is characterized in that, described method also comprises step c, according to the information of the measured object obtained in step b, utilizes Digital image technology to generate 3D solid fluoroscopy images.
3. jewelry quality identification method as claimed in claim 2, is characterized in that, described 3D solid fluoroscopy images utilizes Virtual Reality Modeling Language reduction to reproduce on computer screen.
4. jewelry quality identification method as claimed in claim 1, it is characterized in that, described many spectral scan system comprises 2 reflections many wave spectrums generator, 1 transmission many wave spectrums generator, wave spectrum inductor more than 1, annulus runing rest, measured object pallet, pallet horizontal rail and shielded anechoic chambers;
Described 2 reflections are arranged on described annulus runing rest with many wave spectrums generator, 1 transmission many wave spectrums generator, wave spectrum inductor more than 1, wherein, 2 reflections are arranged on described many wave spectrums inductor both sides respectively with many wave spectrums generator and symmetrical, and described transmission many wave spectrums generator differs 180 degree with described many wave spectrums sensor location; Described annulus runing rest is vertically placed, and its Z-axis is through the center of circle of described annulus runing rest and the straight line of vertical annulus runing rest place plane; Described pallet horizontal rail comprises two tracks, and described two tracks arrange along the vertical axis of described annulus runing rest and are horizontal distribution; Described measured object pallet is placed in described pallet horizontal rail, and measured object to be placed on measured object pallet and to be in the center of described annulus runing rest; Above-mentioned each device is all positioned in described shielded anechoic chamber;
The scan method of described many spectral scan system is specially:
Steps A, 2 reflections send ripple respectively with many wave spectrums generator and 1 transmission many wave spectrums generator, and described many wave spectrums inductor receives reflection wave and transmitted wave, and obtains corresponding spectral information on many wave spectrums inductor;
Step B, clockwise or be rotated counterclockwise the certain angle of annulus runing rest, repeats steps A, until annulus runing rest completes the rotation of 360 degree, completes the complete scan to measured object.
5. jewelry quality identification method as claimed in claim 4, it is characterized in that, the scan method of described many spectral scan system also comprises step C, if measured object exceedes the width that once can scan along the size of described annulus runing rest vertical axis, then being moved along described pallet horizontal rail by measured object pallet once can the distance of sweep length, repeat step B, until complete the whole scannings to measured object.
6. jewelry quality identification method as claimed in claim 4, is characterized in that, described shielded anechoic chamber is by making by the electromagnetic metal material that produces of isolation environment ripple, many spectral scan system.
7. jewelry quality identification method as claimed in claim 4, it is characterized in that, described many wave spectrums generator comprises the one in sonic generator, wave generator, light wave generator, x-ray generator; Described many wave spectrums inductor comprises the one in acoustic wave, electric wave inductor, light wave inductor, X-ray inductor; Described many wave spectrums generator select above-mentioned wherein a kind of time, described many wave spectrums inductor selects the one corresponding with described many wave spectrums generator.
8. jewelry quality identification method as claimed in claim 4, it is characterized in that, described many wave spectrums inductor comprises camera lens or detector, CCD sensing device or CMOS sensing device, and described camera lens or detector are used for doing slit diffraction and grating process to the reflection wave received and transmitted wave; Described CCD sensing device or CMOS sensing device are for obtaining corresponding reflectance spectrum information and transmitted wave spectrum information.
9., based on a jewelry Quality Identification system for many Spectrum Analysis, it is characterized in that, described system comprises:
Many spectral scan system, obtains the spectral information of measured object for carrying out comprehensive many spectral scan to measured object;
Spectrum Analysis module, for analyzing the material composi of measured object, each component ratio and size, the position of each composite material in measured object according to described spectral information, and carries out Quality Identification according to the information of the measured object obtained.
10. jewelry Quality Identification system as claimed in claim 9, it is characterized in that, described system also comprises 3D solid perspective imaging module, for the information of measured object obtained according to described Spectrum Analysis module, utilizes Digital image technology to generate 3D solid fluoroscopy images.
11. jewelry Quality Identification systems as claimed in claim 10, is characterized in that, described 3D solid fluoroscopy images utilizes Virtual Reality Modeling Language reduction to reproduce on computer screen.
12. jewelry Quality Identification systems as claimed in claim 9, it is characterized in that, described many spectral scan system comprises 2 reflections many wave spectrums generator, 1 transmission many wave spectrums generator, wave spectrum inductor more than 1, annulus runing rest, measured object pallet, pallet horizontal rail and shielded anechoic chambers;
Described 2 reflections are arranged on described annulus runing rest with many wave spectrums generator, 1 transmission many wave spectrums generator, wave spectrum inductor more than 1, wherein, 2 reflections are arranged on described many wave spectrums inductor both sides respectively with many wave spectrums generator and symmetrical, and described transmission many wave spectrums generator differs 180 degree with described many wave spectrums sensor location; Described annulus runing rest is vertically placed, and its Z-axis is through the center of circle of described annulus runing rest and the straight line of vertical annulus runing rest place plane; Described pallet horizontal rail comprises two tracks, and described two tracks arrange along the vertical axis of described annulus runing rest and are horizontal distribution; Described measured object pallet is placed in described pallet horizontal rail, and measured object to be placed on measured object pallet and to be in the center of described annulus runing rest; Above-mentioned each device is all positioned in described shielded anechoic chamber;
Described 2 reflections send reflection wave with many wave spectrums generator, and described 1 transmission many wave spectrums generator sends transmitted wave, and described many wave spectrums inductor receives reflection wave and transmitted wave, and obtains corresponding spectral information on many wave spectrums inductor;
Described annulus runing rest can carry out the rotation of 360 degree clockwise or counterclockwise;
Described measured object pallet can move along described pallet horizontal rail.
13. jewelry Quality Identification systems as claimed in claim 12, is characterized in that, described shielded anechoic chamber by can isolation environment ripple, many spectral scan system produce electromagnetic metal material make.
14. jewelry Quality Identification systems as claimed in claim 12, it is characterized in that, described many wave spectrums generator comprises the one in sonic generator, wave generator, light wave generator, x-ray generator; Described many wave spectrums inductor comprises the one in acoustic wave, electric wave inductor, light wave inductor, X-ray inductor; Described many wave spectrums generator select above-mentioned wherein a kind of time, described many wave spectrums inductor selects the one corresponding with described many wave spectrums generator.
15. jewelry Quality Identification systems as claimed in claim 12, it is characterized in that, described many wave spectrums inductor comprises camera lens or detector, CCD sensing device or CMOS sensing device, and described camera lens or detector are used for doing slit diffraction and grating process to the reflection wave received and transmitted wave; Described CCD sensing device or CMOS sensing device are for obtaining corresponding reflectance spectrum information and transmitted wave spectrum information.
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Cited By (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| WO2017063175A1 (en) * | 2015-10-15 | 2017-04-20 | 深圳大学 | Multi-spectrum analysis-based jewelry quality identification method and system |
| CN111024613A (en) * | 2019-12-30 | 2020-04-17 | 自然资源部珠宝玉石首饰管理中心(国家珠宝玉石质量监督检验中心) | CVD (chemical vapor deposition) regenerated diamond identification device and method |
| CN112468731A (en) * | 2020-11-27 | 2021-03-09 | 广州富港生活智能科技有限公司 | Automatic shooting system and automatic shooting-based article analysis and display ordering system |
| WO2022141959A1 (en) * | 2020-12-29 | 2022-07-07 | 南京灵雀智能制造有限公司 | Stereo imaging detection device and detection method for bolts |
| CN115112657A (en) * | 2022-05-25 | 2022-09-27 | 国家珠宝检测中心(广东)有限责任公司 | Jewelry terminal and jewelry maintenance scheme recommendation method thereof |
Citations (9)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| WO1989011252A1 (en) * | 1988-05-27 | 1989-11-30 | The University Of Connecticut | Multi-dimensional imaging system |
| US5109276A (en) * | 1988-05-27 | 1992-04-28 | The University Of Connecticut | Multi-dimensional multi-spectral imaging system |
| CN1916611A (en) * | 2006-09-08 | 2007-02-21 | 清华大学 | Mulriple DR/CT detection apparatus for containers |
| CN101178476A (en) * | 2007-12-03 | 2008-05-14 | 中国科学院光电技术研究所 | High resolved micro-three-dimensional image forming apparatus |
| CN101320138A (en) * | 2008-05-16 | 2008-12-10 | 中国科学院西安光学精密机械研究所 | Method and equipment for simultaneously acquiring stereo and multispectral image |
| CN201814585U (en) * | 2010-09-03 | 2011-05-04 | 北京睿思厚德辐射信息科技有限公司 | Medical and industrial X-ray real-time three-dimensional imaging device |
| WO2011047053A3 (en) * | 2009-10-13 | 2011-06-09 | California Institute Of Technology | Holographically illuminated imaging devices |
| CN102879476A (en) * | 2012-10-11 | 2013-01-16 | 中山大学 | Multi-scale measurement system for rock rheological damages |
| CN205426859U (en) * | 2015-10-15 | 2016-08-03 | 深圳大学 | Jewelry quality appraisal system based on many spectral analysis |
-
2015
- 2015-10-15 CN CN201510666944.7A patent/CN105181809B/en not_active Expired - Fee Related
Patent Citations (9)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| WO1989011252A1 (en) * | 1988-05-27 | 1989-11-30 | The University Of Connecticut | Multi-dimensional imaging system |
| US5109276A (en) * | 1988-05-27 | 1992-04-28 | The University Of Connecticut | Multi-dimensional multi-spectral imaging system |
| CN1916611A (en) * | 2006-09-08 | 2007-02-21 | 清华大学 | Mulriple DR/CT detection apparatus for containers |
| CN101178476A (en) * | 2007-12-03 | 2008-05-14 | 中国科学院光电技术研究所 | High resolved micro-three-dimensional image forming apparatus |
| CN101320138A (en) * | 2008-05-16 | 2008-12-10 | 中国科学院西安光学精密机械研究所 | Method and equipment for simultaneously acquiring stereo and multispectral image |
| WO2011047053A3 (en) * | 2009-10-13 | 2011-06-09 | California Institute Of Technology | Holographically illuminated imaging devices |
| CN201814585U (en) * | 2010-09-03 | 2011-05-04 | 北京睿思厚德辐射信息科技有限公司 | Medical and industrial X-ray real-time three-dimensional imaging device |
| CN102879476A (en) * | 2012-10-11 | 2013-01-16 | 中山大学 | Multi-scale measurement system for rock rheological damages |
| CN205426859U (en) * | 2015-10-15 | 2016-08-03 | 深圳大学 | Jewelry quality appraisal system based on many spectral analysis |
Non-Patent Citations (2)
| Title |
|---|
| 刘宏科等: "光谱分析在宝石检测中的应用述评", 《广东化工》 * |
| 殷宗军，黎刚，朱茂炎: "两种微体化石三维无损成像技术的对比", 《微体古生物学报》 * |
Cited By (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| WO2017063175A1 (en) * | 2015-10-15 | 2017-04-20 | 深圳大学 | Multi-spectrum analysis-based jewelry quality identification method and system |
| CN111024613A (en) * | 2019-12-30 | 2020-04-17 | 自然资源部珠宝玉石首饰管理中心(国家珠宝玉石质量监督检验中心) | CVD (chemical vapor deposition) regenerated diamond identification device and method |
| CN112468731A (en) * | 2020-11-27 | 2021-03-09 | 广州富港生活智能科技有限公司 | Automatic shooting system and automatic shooting-based article analysis and display ordering system |
| WO2022141959A1 (en) * | 2020-12-29 | 2022-07-07 | 南京灵雀智能制造有限公司 | Stereo imaging detection device and detection method for bolts |
| CN115112657A (en) * | 2022-05-25 | 2022-09-27 | 国家珠宝检测中心(广东)有限责任公司 | Jewelry terminal and jewelry maintenance scheme recommendation method thereof |
| CN115112657B (en) * | 2022-05-25 | 2024-01-05 | 国家珠宝检测中心(广东)有限责任公司 | Jewelry terminal and jewelry maintenance scheme recommendation method thereof |
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