CN106951458A - A kind of product ontology is traced to the source Jianzhen's method for anti-counterfeit and system - Google Patents
A kind of product ontology is traced to the source Jianzhen's method for anti-counterfeit and system Download PDFInfo
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Abstract
Trace to the source Jianzhen's method for anti-counterfeit, comprise the following steps the invention discloses a kind of product ontology：1. the standard sample of pair product carries out the collection of standard finger-print data；2. the standard finger-print data based on acquisition set up quantitative analysis model, multiple quantitative analysis models constitute quantitative analysis model library；3. utilizing various collection of illustrative plates collecting device collection in worksite products to be measured, live spectrum data to be measured is obtained, live spectrum data to be measured and standard finger-print data are compared, the false proof result of Jianzhen of tracing to the source is obtained.Traced to the source Jianzhen's Antiforge system the invention also discloses a kind of product ontology.The product ontology of the present invention is traced to the source, and Jianzhen's method for anti-counterfeit and system reliability are high, detection is quick in time, efficiency high, can realize it is false proof to the Jianzhen that effectively traces to the source of product, with good market prospects.
Description
Technical field
Traced to the source Jianzhen's method for anti-counterfeit the present invention relates to a kind of product ontology, and in particular to one kind is based on multichannel chromatogram compound mass
Trace to the source Jianzhen's method for anti-counterfeit.Traced to the source Jianzhen's Antiforge system the invention further relates to a kind of product ontology.The invention belongs to the examination and test of products
Detection field.
Background technology
During from production to circulation sale, product is carried out in itself body trace to the source Jianzhen it is false proof be a difficulty
Topic.Specifically, the value of product is associated in itself with product.For consumer angle, it wants to know about oneself purchase
The product bought is the certified products of its product identification manufacturer production, rather than fake and forged product.For product producer angle, its
The value of production product is processed to it, materials etc. are related, and it wishes that what consumer bought is the product that it is produced, rather than
The fake and forged product of illegal producer.For third party's angle such as inspection body, it is also required to recognize in the process of circulation
Product is fake and forged product.
At present, whether be counterfeit and shoddy goods, the false proof technology of Jianzhen is carried out to it and is mainly use if judging a certain product
The sample for carrying out sample presentation or sampling is carried out the standard method of analysis processing such as to chemically examine.This technology has the following disadvantages：1st, changing
During testing, need to carry out sample the operation such as cutting and grinding unavoidably, to extract assay.This process has that speed is slow, effect
The deficiencies such as rate is low, high cost, destruction sample, consumption chemical reagent, pollution environment；For some valuable samples, such as silk, skin
Clothing etc., the cost that the destructive test strips of sample are come is very high；The noncontact that present society lacks various products to be detected is fast
The method that speed is traced to the source.2nd, this technological means can only prove whether a certain sample is non-inferior goods, and can not prove a certain completely
Whether the certified products of sample really for mark manufacturer production, i.e., not can prove that the product is personation.Because, the change of fake products
Testing result to be also possible to is similar to certified products or even is difficult to differentiate between.3rd, this technological means can only be taken in a collection of product and take out
The form of sample chemical examination, it is difficult to which remaining product progress Jianzhen is false proof to this batch.Because for efficiency and cost consideration, it is impossible to
A collection of product is tested chemical examination.4th, consumer or other related personnel can not the actual quality of the immediate inquiring product
Parameter.5th, different batches of product, due to the nuance on processing and materials, being likely to result in its reference data also can be poor
It is different, but considering for the factors such as efficiency, cost is in order at, in practice typically sample detection will not be all carried out to every batch of product, this
Whether the reference data that sample cannot understand every batch of product is all standard compliant.
The content of the invention
To solve the deficiencies in the prior art, traced to the source Jianzhen's method for anti-counterfeit it is an object of the invention to provide a kind of product ontology
And system, to set up the parameter detecting model cloud database of various products to be detected, realize on-line checking and high in the clouds platform pair
Connect, quickly immediately obtain the spectrum data of product.
In order to realize above-mentioned target, the present invention is adopted the following technical scheme that：
A kind of product ontology Jianzhen's method for anti-counterfeit of tracing to the source comprises the following steps：
Step one：The collection of standard finger-print data is carried out to the standard sample of product；
Step 2：Standard finger-print data based on acquisition set up quantitative analysis model；
Step 3：Using various collection of illustrative plates collecting device collection in worksite products to be measured, live spectrum data to be measured is obtained, will be existing
Field spectrum data to be measured is compared with standard finger-print data, obtains the false proof result of tracing to the source of Jianzhen.
A kind of foregoing product ontology is traced to the source Jianzhen's method for anti-counterfeit, also including step A：In collection standard finger-print data
On the basis of, fingerprints database is set up, figure code is set up to every kind of supervision product, figure code is closed with finger-print data
Connection, so as to can just obtain the finger-print of product by figure.
In the step 2, the process for setting up quantitative analysis model is as follows：Step 2a：As needed to the standard sample of product
Product are measured using standard method of analysis, the various mass parameters got standard samples, i.e. reference data；Step 2b：Pass through
Chemical Measurement is handled the spectrum data gathered in step one, and by the spectrum data after processing with being referred in step 2a
Data are associated, and one-to-one corresponding mapping relations are so set up between spectrum data and corresponding reference data, are referred to as
Quantitative analysis model.
The standard method of analysis includes：The preparation standards of raw material atlas analysis sample are set up, the standard includes place
Manage environmental requirement and the sample comminution degree of operation；Collection of illustrative plates collection is carried out to treated sample.
In the step 3, the process for comparing analysis is as follows：The collection of illustrative plates of testing sample is determined, live collection of illustrative plates number to be measured is obtained
According to；Quantitative analysis model library is retrieved, correct quantitative analysis model is selected, live spectrum data to be measured is referred to standard
Line spectrum data is compared；The mass parameter to be measured for calculating testing sample is analyzed according to the quantitative analysis model of selection.
As a further improvement, consumer can only need to, by the instrument scanning figure code with scan function, can just inquire about
To the relevant information of product, the record of inquiry can all retain, and information can be directly transmitted once product needs to recall to consumption
Person, realization is precisely recalled.Wherein, the preferably mobile phone with camera of the instrument with scan function, the preferred Quick Response Code of figure code is transmitted
The preferred short message of information.
As a further improvement, using portable set, preferably PDA (palm PC) carries out scene atlas analysis immediately,
Collection of illustrative plates collection is carried out to testing sample, connection high in the clouds platform carries out calculating analysis, obtain sample collection of illustrative plates and it is each into
Point and the information such as content, obtain result of tracing to the source.
In the step one, for the different same material of different materials and constituent content, there are different collection of illustrative plates special
Levy corresponding.
As a further improvement, carrying out spectrum data collection to product using graphical spectrum technology, the graphical spectrum technology includes light
Spectral technology, the spectral technique includes one kind in near-infrared spectrum analysis, X-ray fluorescence spectra analysis, Raman spectrum analysis
Or it is a variety of.
A kind of foregoing product ontology Jianzhen's Antiforge system of tracing to the source includes：
Component detects Internet of things system, and the collection of standard finger-print data is carried out for the standard sample to product, with
And the collection to product to be measured at the scene, live spectrum data to be measured is obtained, and be transferred to database server and high in the clouds platform；
Database server, for various data to be locally stored, its data stored at least includes the various figures of collection
Modal data, the testing result transmitted from high in the clouds platform；
High in the clouds platform, quantitative analysis model, multiple quantitative analyses are set up for the standard finger-print data based on acquisition
Model constitutes quantitative analysis model library, and the spectrum data collected is compared with standard finger-print data, and is divided
Analysis is calculated, and finally draws result of tracing to the source.
The component detection Internet of things system connects database server and high in the clouds platform by network respectively.
The present invention is advantageous in that：The product ontology of the present invention trace to the source Jianzhen's method for anti-counterfeit and system reliability it is high,
Detection is quick in time, efficiency high, can realize it is false proof to the Jianzhen that effectively traces to the source of product, with good market prospects.
Brief description of the drawings
Fig. 1 is that a kind of product ontology of the invention is traced to the source the flow chart of Jianzhen's method for anti-counterfeit.
Fig. 2 is that a kind of product ontology of the invention further one based on Fig. 1 of Jianzhen's method for anti-counterfeit that traces to the source is preferable to carry out
Flow chart.
Fig. 3 is that a kind of product ontology of the invention is traced to the source one of Jianzhen's Antiforge system the structural representation being preferable to carry out.
Fig. 4 is the near infrared spectrum contrast curve of different samples in the present invention.
Embodiment
Specific introduction is made to the present invention below in conjunction with the drawings and specific embodiments.
Body, which is traced to the source, to be referred to be traced to the source using the material attribute parameter of product itself, and it is to confirm sample attribute to trace to the source
Relation between parameter and standard sample property parameters, its diversity factor meets some given threshold, that is, it is same to think the two
Material.
Jianzhen is false proof to be referred to trace to the source collection of illustrative plates to the property parameters of standard sample and the property parameters of sample using body
Carry out uniformity and judge scoring, true value threshold value is set if greater than similarity, be then determined as true；Set pseudo- if less than similarity
It is worth threshold value, is then determined as vacation, judges that scoring does not limit above-mentioned this mode.
Body finger-print of tracing to the source refers to the collection of illustrative plates number that the sample properties parameter obtained using graphical spectrum technology is embodied
According to, graphical spectrum technology includes spectral technique, and spectral technique includes near-infrared molecular spectrum, Raman spectrum and X-ray energy spectrum etc.,
A variety of collection of illustrative plates combination technologies can be used.
Shown in reference picture 1, trace to the source Jianzhen's method for anti-counterfeit, comprise the following steps the present invention relates to a kind of product ontology：
Step one：The collection of standard finger-print data is carried out to the standard sample of product；
Step 2：Standard finger-print data based on acquisition set up quantitative analysis model, multiple quantitative analysis model structures
Into quantitative analysis model library；Preferably, quantitative analysis model is set on platform beyond the clouds.
Step 3：Using various collection of illustrative plates collecting device collection in worksite products to be measured, live spectrum data to be measured is obtained, will be existing
Field spectrum data to be measured is compared with standard finger-print data, obtains the false proof result of tracing to the source of Jianzhen.In practice, it is live
The collection of spectrum data is carried out using various portable collection of illustrative plates collecting devices.
With reference to shown in Fig. 3, it traces to the source Jianzhen's Antiforge system for a kind of product ontology, can be used for the actual realization present invention's
Product ontology is traced to the source Jianzhen's method for anti-counterfeit.It includes database server, component detection Internet of things system, high in the clouds platform, component
Detection Internet of things system connects database server and high in the clouds platform by network respectively.Component detection Internet of things system be used for pair
The standard sample of product carries out the collection of standard finger-print data, and gathers product to be measured at the scene, obtains scene to be measured
Spectrum data, and by network transmission to database server and high in the clouds platform；Database server is used to be locally stored respectively
Data are planted, its data stored at least includes the various spectrum datas of collection, the also detection including being transmitted from high in the clouds platform
As a result etc.；High in the clouds platform sets up quantitative analysis model, multiple quantitative analysis moulds for the standard finger-print data based on acquisition
Type constitutes quantitative analysis model library, and the spectrum data collected is compared with standard finger-print data, and is analyzed
Calculate, finally draw result of tracing to the source.
Disclosed as further details of, component detection Internet of things system includes various collection of illustrative plates collecting devices, and the collection of illustrative plates is adopted
Collection equipment is preferably the serial series portable near-infrared analyzers of the near SmartEye1700 of Buddhist nun.Component detection Internet of things system may be used also
So that including the operating platform being connected with collection of illustrative plates collecting device, operating platform can be business computer, smart mobile phone, palm PC
Etc. equipment, software is handled equipped with collection of illustrative plates inside operating platform.Component detection Internet of things system can have multiple, be led by different product
Domain, different types of user use, and each unit can also have many set group go-on-gos to survey Internet of things system.Such as, unit A can
To be a fire proofing manufacturer, it can have some set group go-on-gos to survey Internet of things system.Unit B is a testing agency,
It can also have some set group go-on-gos to survey Internet of things system.Unit C is consumer, and it can also have some set group go-on-gos to survey Internet of Things
Net system.Component detects that Internet of things system connects high in the clouds platform by internet.As further preferably, high in the clouds platform includes
Cloud database server, cloud computing server.Component detect Internet of things system by internet respectively with cloud computing server
With the connection of cloud database server.Cloud database server is used to store the data preserved beyond the clouds.Cloud computing server
For carrying out cloud computing.Specifically, standard finger-print data of the cloud computing server based on acquisition set up quantitative analysis mould
Type, cloud database server storage quantitative analysis model, multiple quantitative analysis models constitute quantitative analysis model library；Cloud computing
Server be additionally operable to by collection in worksite to spectrum data to be measured be compared with standard finger-print data, obtain Jianzhen
False proof result of tracing to the source.Scene carries out the collection of spectrum data using various portable collection of illustrative plates collecting devices, beyond the clouds by collection
Modal data is compared with standard finger-print data, and carries out analysis meter calculation, finally draws result of tracing to the source.
Further, cloud database server includes high in the clouds detection model storehouse, equipment collection of illustrative plates history library, standard transmission sample
Product storehouse.High in the clouds detection model storehouse, equipment collection of illustrative plates history library, standard transmission sample library connect component detectable substance by internet respectively
Networking.High in the clouds detection model storehouse is used to store quantitative analysis model, and it is referred to as quantitative analysis model library.Equipment collection of illustrative plates is gone through
Shi Ku is used to store the history spectrum data that collection of illustrative plates collecting device was gathered in instant component detection Internet of things system.Standard is passed
Pass the standard finger-print data that sample library is used to store product of the present invention.
Further, the present invention carries out adopting for standard finger-print data using multichannel chromatogram technology to the standard sample of product
Collection, multichannel chromatogram technology includes spectral technique, and the spectral technique includes near-infrared spectrum analysis, X-ray fluorescence spectra analysis, drawn
One or more in graceful spectrum analysis.X-ray fluorescence spectra analysis (X Ray Fluorescence) is that people generally penetrate X
Line is radiated at the secondary X-ray produced on material XRF (X-Ray Fluorescence), and handle is used for irradiating
X-ray simple X-ray.So XRF is still X-ray.Raman spectrum (Raman spectra), is a kind of scattering
Spectrum.Raman spectrum analysis method is the Raman scattering effect found based on India's scientist C.V. Ramans (Raman), pair with entering
Information in terms of the different scattering spectrum of light frequency is analyzed to obtain molecular vibration, rotation is penetrated, and is ground applied to molecular structure
A kind of analysis method studied carefully.Near infrared light (Near Infrared, NIR) is between visible ray (VI S) and mid-infrared light (MIR)
Between electromagnetic wave, defined by ASTM (U.S. test and material tests association) and refer to wavelength in the range of 780~2526nm
Electromagnetic wave, traditionally again by near infrared region be divided into near-infrared shortwave (780~1100nm) and near-infrared long wave (1100~
2526nm) two regions.Near infrared region is the non-visible region that people have found earliest.Below with present invention application near-infrared
Illustrated exemplified by spectral technique.
Firstly the need of a certain amount of representative sample is collected, then while its atlas of near infrared spectra is measured,
Measured as needed using relevant standard method of analysis, obtain the various mass parameters (or being reference data) of sample.
Wherein standard method of analysis includes：1. setting up raw material near-infrared spectrum analysis sample pretreatment standard (includes the ring of processing operation
Border is required and sample comminution degree)；2. pair treated sample carries out the collection of near infrared spectrum.Pass through Chemical Measurement pair again
The near infrared spectrum is handled, and it is associated with reference data, so between atlas of near infrared spectra and its reference data
Set up one-to-one corresponding mapping relations, i.e. quantitative analysis model.But the range size of model is with setting up side used in model
Method is relevant, relevant with property data to be measured, also relevant with the analysis precision scope reached required by measurement.In practical application,
Set up model all to realize by chemo metric software, and have strict specification (such as ASTM-6500 standards).
Then the atlas of near infrared spectra of testing sample is determined, live spectrum data to be measured is obtained, inside operating platform
Software retrieved automatically in model library, correct model is selected, by live spectrum data and standard finger-print to be measured
Data are compared, and are analyzed using model, finally calculate mass parameter to be measured, obtain result of tracing to the source.
With reference to the accompanying drawings shown in 1 and with reference to accompanying drawing 3, it can be deduced that various product standard sample fingerprint images to be detected of the invention
The collection of modal data and reference data analysis process include：(1) sample collection：Collection future will detect that the standard of product is former
Expect the information such as the finger-print data of sample.(2) reference data is analyzed：Raw material to be detected is determined, the analysis of qualitative, quantitative is drawn
Data.(3) near infrared spectrum data is gathered：Set up raw material near-infrared spectrum analysis sample pretreatment standard, including processing operation
Environmental requirement and sample comminution degree etc.；The collection of near infrared spectrum is carried out to treated sample.
As shown in figure 4, be the near infrared spectrum curve map of material in the present invention is identical but content is different three kinds of materials, its
Middle curve 0 is the near infrared spectrum spectrum data of standard sample, and curve 1 and curve 2 are the near-infrared of the testing sample gathered
Spectrum atlas data.After near infrared spectrometer carries out collection of illustrative plates collection to the testing sample corresponding to curve 1 and curve 2 respectively, in group
Go-on-go is surveyed in Internet of things system and generates corresponding spectrum data, and the spectrum data is carried out by network transmission to database server
Preserve.At the same time, component detection Internet of things system in software can detection model storehouse be retrieved beyond the clouds automatically, find just
Solicited message is sent to collection of illustrative plates (herein referring near infrared spectrum) Internet of Things supervisory information system after true model, system administration is obtained
After the license of member, the spectrum data of testing sample is transmitted by internet and is stored in equipment collection of illustrative plates history library；According to please
Information is sought, standard finger-print data of the system manager needed for being transferred during standard transmits sample library are (i.e. corresponding to curve 0
Spectrum data), required quantitative analysis model is transferred in detection model storehouse beyond the clouds, and by the two and curve 1, the collection of illustrative plates of curve 2
Data reach cloud computing server together, carry out spectrum data comparison, and the detection of analysis calculating, then gained is carried out by model
As a result by the Internet transmission and it is stored in database server.Curve 0, curve 1 and curve 2 are exactly in database by network
Server transfers what corresponding data were drawn, in Fig. 4 it can be seen that the difference of three kinds of materials can be from three curve spies
Characteristic peak message reflection corresponding to standing wave length goes out.
When needing instant sampling analysis in some cases, it is possible to use portable spectroscopy equipment is operated, we
The handheld device of case preferred PDA (palm PC) formula, its is convenient and reliable, strong adaptability, and the near infrared spectrum data of collection is direct
Docked with high in the clouds platform, instant computing analysis can obtain result of accurately tracing to the source in short several seconds.Here it is the present invention is had
Some scene spectrum analysis immediately functions, you can near-infrared is carried out to testing sample using collection of illustrative plates collecting devices such as portable PDA formulas
Spectra collection, obtains corresponding spectroscopic data, and connection high in the clouds platform carries out calculating analysis, obtain sample spectrum and it is each into
Point and the information such as content, obtain result of tracing to the source.
As a further improvement, present invention additionally comprises step A：On the basis of collection standard finger-print data, set up
Fingerprints database, figure code, the present invention preferably Quick Response Code, by Quick Response Code and finger-print are set up to every kind of supervision product
Data are associated, so as to can just obtain the finger-print of product by Quick Response Code.In the present invention, step A needs to complete
Carried out on the basis of step one.As shown in Fig. 2 fingerprints database is set up on the basis of collection, and to every kind of supervision
Product sets up Quick Response Code, and is associated with finger-print data, and the spies such as the finger-print of product can be obtained by Quick Response Code
Reference ceases, and consumer only needs to scan Quick Response Code by the instrument (the preferably mobile phone with camera) with scan function, with regard to that can look into
The relevant information of product is ask, the record of inquiry can all retain, information can be directly transmitted (preferably once product needs to recall
Short message) consumer is given, realization is precisely recalled.
For example：
Near infrared spectrum sampling is carried out to the wool silk genuine piece scarf of 1,000 different components, it is possible to obtain a thousand sheets
Standard spectrum, carries out integrated treatment to this thousand sheets standard spectrum diagram, sets up chemometric model, and obtain different component
Spectral signature image, i.e. finger-print, Quick Response Code is generated by finger-print, scans Quick Response Code, it is possible to which silk is identified.
Quick Response Code is connection high in the clouds platform, therefore can ensure the real reliability of 2 D code information.For the wool of different component
Silk muffler, due to the difference on processing and materials, spectrum also can be variant, therefore different commodity are generated with exclusive finger
Line collection of illustrative plates Quick Response Code.
The present invention is carried out after near infrared spectra collection to standard raw materials sample, and fingerprints database is set up to it.For
With a batch of product, the Quick Response Code of a standard can be generated, is attached on commodity, the subsidiary Quick Response Code of items scanning, i.e.,
The spectral signature of product can be obtained, to verify the information such as its each composition and content.
As can be seen here, the technology of the present invention has following features：
First, atlas analysis of the present invention is key point, such as spectral technique, spectrum just as fingerprint, for different materials and
The different same material of constituent content, has different spectral signatures corresponding；Spectrum comes from molecule even atomic scale
Substantive characteristics, is closest to the feature of material essence, therefore with reliability.
Second, the diversity of metering model can be built for the spectrum data of the discrepant material of various reference datas
The accurate metering model of day-mark, to meet different product requirements.
3rd, the instantaneity of high in the clouds data is compared with the collection of illustrative plates of certain product, it is not necessary to after gathered data by
Prolonged experimental analysis, but directly docked with high in the clouds platform, spectroscopic data is obtained in the short time.
4th, the present invention is the anti-counterfeiting technology based on material in itself, and material internal reference data message is probed into by collection of illustrative plates.
5th, the present invention uses multichannel chromatogram technology, and reliability is high, for example, near-infrared spectrum technique can be used, (X is penetrated XRF
Line spectrofluorimetry) technology and Raman spectroscopy be combined, and ensures the reliability of collection of illustrative plates from many aspects.
6th, the present invention realizes high in the clouds big data calculating, and data acquisition is docked with high in the clouds platform, realizes quick instant
Collection of illustrative plates compare analysis.
7th, the present invention has collection of illustrative plates fingerprint image code, and such as spectral fingerprint Quick Response Code, planar bar code technology records the spectrum of commodity
Information, and high in the clouds platform is connected, scanning Quick Response Code can obtain the support of high in the clouds data, inquire about commodity spectral information.
8th, when special occasions needs instantaneous acquiring and obtains collection of illustrative plates, the present invention can also be competent at, using such as
The portable set of PDA (palm PC) formula, can be achieved collection in worksite spectrum data, and connection high in the clouds platform technology analysis is short
Obtain profile information within several seconds.
The basic principles, principal features and advantages of the present invention have been shown and described above.The technical staff of the industry should
Understand, the invention is not limited in any way for above-described embodiment, it is all to be obtained by the way of equivalent or equivalent transformation
Technical scheme, all falls within protection scope of the present invention.
Claims (10)
- Jianzhen's method for anti-counterfeit 1. a kind of product ontology is traced to the source, it is characterised in that comprise the following steps：Step one：The collection of standard finger-print data is carried out to the standard sample of product；Step 2：Standard finger-print data based on acquisition set up quantitative analysis model；Step 3：Using various collection of illustrative plates collecting device collection in worksite products to be measured, live spectrum data to be measured is obtained, scene is treated Mapping modal data is compared with standard finger-print data, obtains the false proof result of tracing to the source of Jianzhen.
- Jianzhen's method for anti-counterfeit 2. a kind of product ontology according to claim 1 is traced to the source, it is characterised in that also including step A： On the basis of collection standard finger-print data, fingerprints database is set up, figure code is set up to every kind of supervision product, will be schemed Code is associated with finger-print data, so as to obtain the finger-print of product by scheming code.
- Jianzhen's method for anti-counterfeit 3. a kind of product ontology according to claim 1 is traced to the source, it is characterised in that in the step 2 The middle process for setting up quantitative analysis model is as follows：Step 2a：The standard sample of product is measured using standard method of analysis as needed, what is got standard samples is each Plant mass parameter, i.e. reference data；Step 2b：The spectrum data gathered in step one is handled by Chemical Measurement, and by the collection of illustrative plates number after processing It is associated according to reference data in step 2a, one-to-one corresponding is so set up between spectrum data and corresponding reference data Mapping relations, referred to as quantitative analysis model.
- Jianzhen's method for anti-counterfeit 4. a kind of product ontology according to claim 3 is traced to the source, it is characterised in that the standard analysis Method includes：The preparation standards of raw material atlas analysis sample are set up, the standard includes environmental requirement and the sample of processing operation Product degree of grinding；Collection of illustrative plates collection is carried out to treated sample.
- Jianzhen's method for anti-counterfeit 5. a kind of product ontology according to claim 1 is traced to the source, it is characterised in that in the step 3 The process for comparing analysis is as follows：The collection of illustrative plates of testing sample is determined, live spectrum data to be measured is obtained；Quantitative analysis model library is entered Row retrieval, selects correct quantitative analysis model, live spectrum data to be measured and standard finger-print data is compared；Root The mass parameter to be measured of testing sample is calculated according to the quantitative analysis model analysis of selection.
- Jianzhen's method for anti-counterfeit 6. a kind of product ontology according to claim 1 is traced to the source, it is characterised in that consumer passes through band The instrument scanning figure code of barcode scanning function, inquires the relevant information of product, the record of inquiry can all retain, once product needs to call together Information will be directly transmitted to consumer by returning, and realization is precisely recalled.
- Jianzhen's method for anti-counterfeit 7. a kind of product ontology according to claim 1 is traced to the source, it is characterised in that set using portable It is standby to carry out scene atlas analysis immediately, i.e., collection of illustrative plates collection is carried out to testing sample, connect high in the clouds platform, carried out calculating analysis, obtain The information such as the collection of illustrative plates and each composition and content of sample are obtained, result of tracing to the source is obtained.
- Jianzhen's method for anti-counterfeit 8. a kind of product ontology according to claim 1 is traced to the source, it is characterised in that the step one In：For the different same material of different materials and constituent content, there are different TuPu methods corresponding.
- Jianzhen's method for anti-counterfeit 9. a kind of product ontology according to any one of claim 1 to 8 is traced to the source, it is characterised in that profit The collection of spectrum data is carried out to product with graphical spectrum technology, the graphical spectrum technology includes spectral technique, and the spectral technique includes One or more in near-infrared spectrum analysis, X-ray fluorescence spectra analysis, Raman spectrum analysis.
- Jianzhen's Antiforge system 10. a kind of product ontology is traced to the source, it is characterised in that including：Component detects Internet of things system, and the collection of standard finger-print data, Yi Ji are carried out for the standard sample to product Collection of the scene to product to be measured, obtains live spectrum data to be measured, and be transferred to database server and high in the clouds platform；Database server, for various data to be locally stored, its data stored at least includes the various collection of illustrative plates numbers of collection According to, the testing result that transmits from high in the clouds platform；High in the clouds platform, quantitative analysis model, multiple quantitative analysis models are set up for the standard finger-print data based on acquisition Quantitative analysis model library is constituted, the spectrum data collected is compared with standard finger-print data, and carry out analysis meter Calculate, finally draw result of tracing to the source,The component detection Internet of things system connects database server and high in the clouds platform by network respectively.
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Cited By (8)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN109559066A (en) * | 2019-01-25 | 2019-04-02 | 西窗科技(苏州)有限公司 | A kind of evaluation method and device of cosmetics |
| CN109633187A (en) * | 2018-12-25 | 2019-04-16 | 司法鉴定科学研究院 | A kind of data detection system and method for documents |
| CN109740972A (en) * | 2018-07-04 | 2019-05-10 | 一码一路（海南）人工智能有限公司 | High quality product develops monitoring and managing method and certified product |
| CN111598584A (en) * | 2020-04-28 | 2020-08-28 | 北京领主科技有限公司 | Commodity tracing method based on block chain and electronic equipment |
| CN112967067A (en) * | 2021-02-08 | 2021-06-15 | 中科谱光(郑州)应用科学技术研究院有限公司 | Method, device and system for generating and verifying food safety spectrum code |
| CN113538006A (en) * | 2021-06-18 | 2021-10-22 | 中科谱光科技（北京）有限公司 | Product tracing method and device, electronic equipment and storage medium |
| CN113791050A (en) * | 2021-08-31 | 2021-12-14 | 广东弓叶科技有限公司 | Material analysis method and system based on spectral analysis |
| CN118094467A (en) * | 2024-02-19 | 2024-05-28 | 江苏朗沁科技有限公司 | Method for identifying authenticity of source tracing production place of functional skin care product |
Citations (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN103323421A (en) * | 2013-07-10 | 2013-09-25 | 中国人民解放军海军后勤技术装备研究所 | Method for identifying engine lubricating oil infrared fingerprint spectrogram |
| EP2870482A2 (en) * | 2012-07-09 | 2015-05-13 | Maschinenfabrik Reinhausen GmbH | System and method for identifying and distinguishing materials, method for identifying or distinguishing materials, and measuring device for recording material properties of materials |
| CN106442590A (en) * | 2016-07-07 | 2017-02-22 | 广东出入境检验检疫局检验检疫技术中心 | Method for identifying tea leaf quality by adopting energy dispersion X-fluorescence light spectrum fingerprint identification technology |
-
2017
- 2017-02-24 CN CN201710103931.8A patent/CN106951458A/en active Pending
Patent Citations (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| EP2870482A2 (en) * | 2012-07-09 | 2015-05-13 | Maschinenfabrik Reinhausen GmbH | System and method for identifying and distinguishing materials, method for identifying or distinguishing materials, and measuring device for recording material properties of materials |
| CN103323421A (en) * | 2013-07-10 | 2013-09-25 | 中国人民解放军海军后勤技术装备研究所 | Method for identifying engine lubricating oil infrared fingerprint spectrogram |
| CN106442590A (en) * | 2016-07-07 | 2017-02-22 | 广东出入境检验检疫局检验检疫技术中心 | Method for identifying tea leaf quality by adopting energy dispersion X-fluorescence light spectrum fingerprint identification technology |
Cited By (9)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN109740972A (en) * | 2018-07-04 | 2019-05-10 | 一码一路（海南）人工智能有限公司 | High quality product develops monitoring and managing method and certified product |
| CN109633187A (en) * | 2018-12-25 | 2019-04-16 | 司法鉴定科学研究院 | A kind of data detection system and method for documents |
| CN109559066A (en) * | 2019-01-25 | 2019-04-02 | 西窗科技(苏州)有限公司 | A kind of evaluation method and device of cosmetics |
| CN111598584A (en) * | 2020-04-28 | 2020-08-28 | 北京领主科技有限公司 | Commodity tracing method based on block chain and electronic equipment |
| CN112967067A (en) * | 2021-02-08 | 2021-06-15 | 中科谱光(郑州)应用科学技术研究院有限公司 | Method, device and system for generating and verifying food safety spectrum code |
| CN113538006A (en) * | 2021-06-18 | 2021-10-22 | 中科谱光科技（北京）有限公司 | Product tracing method and device, electronic equipment and storage medium |
| CN113538006B (en) * | 2021-06-18 | 2024-08-20 | 中科谱光科技（北京）有限公司 | Product tracing method and device, electronic equipment and storage medium |
| CN113791050A (en) * | 2021-08-31 | 2021-12-14 | 广东弓叶科技有限公司 | Material analysis method and system based on spectral analysis |
| CN118094467A (en) * | 2024-02-19 | 2024-05-28 | 江苏朗沁科技有限公司 | Method for identifying authenticity of source tracing production place of functional skin care product |
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