CN113345071A - Artwork big data analysis model processing technology - Google Patents
Artwork big data analysis model processing technology Download PDFInfo
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- CN113345071A CN113345071A CN202110561320.4A CN202110561320A CN113345071A CN 113345071 A CN113345071 A CN 113345071A CN 202110561320 A CN202110561320 A CN 202110561320A CN 113345071 A CN113345071 A CN 113345071A
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- 238000007405 data analysis Methods 0.000 title claims abstract description 29
- 238000012545 processing Methods 0.000 title claims abstract description 19
- 238000004458 analytical method Methods 0.000 claims abstract description 50
- 238000013500 data storage Methods 0.000 claims abstract description 25
- 238000012795 verification Methods 0.000 claims abstract description 20
- 239000000463 material Substances 0.000 claims description 27
- 238000013479 data entry Methods 0.000 claims description 15
- 238000012552 review Methods 0.000 claims description 3
- 238000000034 method Methods 0.000 abstract 1
- 238000013102 re-test Methods 0.000 abstract 1
- 238000011156 evaluation Methods 0.000 description 5
- 238000012797 qualification Methods 0.000 description 3
- 230000009286 beneficial effect Effects 0.000 description 2
- 230000003340 mental effect Effects 0.000 description 2
- 239000003086 colorant Substances 0.000 description 1
- 238000010835 comparative analysis Methods 0.000 description 1
- 239000013078 crystal Substances 0.000 description 1
- 238000012986 modification Methods 0.000 description 1
- 230000004048 modification Effects 0.000 description 1
- -1 weights Substances 0.000 description 1
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T17/00—Three dimensional [3D] modelling, e.g. data description of 3D objects
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F30/00—Computer-aided design [CAD]
- G06F30/10—Geometric CAD
- G06F30/12—Geometric CAD characterised by design entry means specially adapted for CAD, e.g. graphical user interfaces [GUI] specially adapted for CAD
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T2210/00—Indexing scheme for image generation or computer graphics
- G06T2210/36—Level of detail
Abstract
The invention discloses a processing technology of an artwork big data analysis model, and relates to the technical field of artwork big data analysis. The system comprises a login unit, an ownership judging unit, a data input unit, an original data storage unit, an analysis unit, a comparison data storage unit and an analysis conclusion output unit, wherein the login unit firstly carries out personal identity verification and enters the ownership judging unit after the identity verification is successful, the ownership judging unit firstly carries out automatic verification and then carries out manual retest, the data input unit firstly carries out related information acquisition on an artwork to be analyzed and then enters the data input unit after the related information acquisition is finished, the related data of the data input unit is subjected to data storage through the original data storage unit, and the related data are transmitted to the analysis unit after the data storage is finished. The method has the advantages of strong functionality, scientific analysis logic, high accuracy of analysis results, high use safety and contribution to the establishment of an artwork database.
Description
Technical Field
The invention belongs to the technical field of artwork big data analysis, and particularly relates to an artwork big data analysis model processing technology.
Background
Artwork is a crystal of an artist's intellectual labor achievement. It circulates in the art market as a special commodity, and like other commodities, it also has the basic attributes of common commodities: use value and value, except that the use value of the artwork is embodied at a mental level rather than a physical level, which is aimed at meeting certain aesthetic and mental needs of people. However, at present, because the jewelry art evaluation is carried out manually, the market price is not uniform, and the price difference of the same jewelry art in different evaluators is overlarge, the use value of the art is greatly influenced by subjective factors, so that an art big data analysis model needs to be established for automatic analysis and evaluation;
the existing big data analysis model of the artwork has simple functions, lacks functions of judging ownership of the artwork to be evaluated, whether the artwork meets the national artwork buying and selling rules and the like, is weak in analysis capability, poor in reference object selection logic, and causes weak contrast and inaccurate evaluation data, and meanwhile, the existing big data analysis model of the artwork does not timely store related information of the artwork and is not beneficial to building an artwork database.
Disclosure of Invention
The invention aims to provide an artwork big data analysis model processing technology to solve the problems in the background technology.
In order to solve the technical problems, the invention is realized by the following technical scheme:
the invention relates to an artwork big data analysis model processing technology, which comprises a login unit, an ownership judging unit, a data input unit, an original data storage unit, an analysis unit, a comparison data storage unit and an analysis conclusion output unit, wherein the login unit firstly carries out personal identity verification, the ownership judging unit enters the ownership judging unit after the identity verification is successful, the ownership judging unit firstly carries out automatic verification and then carries out manual review, the data input unit firstly carries out related information acquisition of an artwork to be analyzed, the related information acquisition is carried out and then enters the data input unit, the related data of the data input unit is subjected to data storage by the original data storage unit, the related data is transmitted to the analysis unit after the data storage is finished, the analysis unit carries out big data analysis comparison and obtains an analysis result, and the analysis conclusion is firstly stored by the comparison data storage unit, and then transmitted to the analysis conclusion output end member.
Preferably, the personal identity judgment basis of the login unit is that the system judges whether the user identity is correct by checking a user name and a password input by the user and judging whether the user identity is consistent with the user name and the password of the user stored in the system, and if the verification fails, the system blocks an access program and stores information of the randomly accessed user for later information tracking query.
Preferably, the automatic verification of the ownership determination unit comprises verifying whether the artwork to be tested conforms to the national artwork buying and selling rules and verifying whether the artwork to be tested has an owner, and the manual verification of the ownership determination unit comprises the verification of a worker and the electronic signature of the worker.
Preferably, the data entry unit needs to sequentially perform related data entry of the type, material, weight, color and appearance of the artwork, wherein the weight is a weight range, and the appearance is a similar appearance.
Preferably, the analysis unit comprises a comparison object selection unit, a comparison unit and a result output unit, wherein the comparison object selection unit needs to select a reference comparison object with the same article, material, weight, color and appearance of the artwork in the large database, if no reference object with the same article, material, weight, color and appearance exists in the large database, selecting reference objects with the same category, material, weight and color as the artwork from the comparison objects in the big database, and if the reference objects with the same category, material, weight and color do not exist in the big database, selecting reference objects with the same type, material and weight as the artwork from the large database for the comparison objects, and performing the same principle, the comparison is carried out by taking a reference object as a standard, the comparison in aspects of type, material, weight, color, appearance and the like is carried out, and the result output is to output the comparison result of the artwork and the reference object to the analysis unit.
Preferably, the original data storage unit and the comparison data unit are stored on the basis of a cloud big database.
Preferably, the analysis conclusion output unit is used for outputting and converting the comparison result into a display mode such as a table and a comparison graph.
The invention has the following beneficial effects:
the invention relates to an artwork big data analysis model processing technology which judges the ownership of an artwork to be evaluated by arranging an ownership judging unit, prevents the artwork with unknown incoming history from flowing into the market, judges whether the artwork to be evaluated accords with the national artwork buying and selling rule or not, prevents the artwork with the image and reputation influencing China from flowing into the market, and effectively ensures that the artwork to be evaluated and analyzed accords with the national commodity buying and selling law and circulation qualification.
According to the artwork big data analysis model processing technology, the data input unit and the analysis unit are arranged to be matched together to realize big data analysis of the artwork, relevant data such as the type, the material, the weight, the color and the shape of the artwork to be evaluated are input in sequence through the data input unit, a reference object of the artwork to be evaluated is selected through the analysis unit, and then the type, the material, the weight, the color and the shape of the artwork are compared in the same direction, so that the whole analysis logic is clear, the contrast is strong, and the accuracy of comparative analysis data is guaranteed.
According to the artwork big data analysis model processing technology, the original data storage unit is arranged to store the original data of the artwork, the comparison data unit is arranged to store the analysis evaluation data, the data loss phenomenon is avoided, and the establishment of the artwork big database is effectively facilitated.
According to the artwork big data analysis model processing technology, the login unit is arranged to carry out personal identity verification on the login user, so that non-workers are prevented from entering the analysis model, and the safety performance of the analysis model is improved.
Of course, it is not necessary for any product in which the invention is practiced to achieve all of the above-described advantages at the same time.
Drawings
In order to more clearly illustrate the technical solutions of the embodiments of the present invention, the drawings used in the description of the embodiments will be briefly introduced below, and it is obvious that the drawings in the following description are only some embodiments of the present invention, and it is obvious for those skilled in the art that other drawings can be obtained according to the drawings without creative efforts.
FIG. 1 is a flow chart of an operation module of the art big data analysis model processing technology of the present invention.
Detailed Description
The technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are only a part of the embodiments of the present invention, and not all of the embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
Referring to fig. 1, the present invention is an artwork big data analysis model processing technology, including a login unit, an ownership determination unit, a data entry unit, an original data storage unit, an analysis unit, a comparison data storage unit, and an analysis conclusion output unit, where the login unit first performs personal authentication, enters the ownership determination unit after the authentication is successful, the ownership determination unit performs automatic verification first, and then performs manual review, the data entry unit first performs related information acquisition on an artwork to be analyzed, the related information acquisition is completed, and then enters the data entry unit, the related data of the data entry unit is stored in the original data storage unit, the related data is transmitted to the analysis unit after the data storage is completed, the analysis unit performs big data analysis comparison and obtains an analysis result, the analysis conclusion is firstly stored by the comparison data storage unit and then transmitted to the analysis conclusion output end member.
The personal identity judgment basis of the login unit is that the system judges whether the user identity is correct or not by checking a user name and a password input by the user and judging whether the user identity is consistent with the user name and the password of the user stored in the system, if the verification fails, the system blocks an access program and stores information of the randomly accessed user for later information tracking and query, and the login mode can increase key identity identification.
The automatic verification of the ownership judging unit comprises verifying whether the artwork to be tested accords with the national artwork buying and selling rules and verifying whether an owner exists in the artwork to be tested, the manual re-verification of the ownership judging unit comprises the re-verification of a worker and the electronic signature of the worker, and the worker needs to have related qualification and take the certificate to post.
The data entry unit is used for sequentially entering relevant data of types, materials, weights, colors and appearances of artworks, wherein the weights are weight ranges, and the appearances are similar appearances.
Wherein, the analysis unit comprises a reference object selection, a comparison and a result output, the reference object selection needs to select a reference object with the same class, material, weight, color and appearance of the artwork in the big database, if the reference object with the same class, material, weight, color and appearance does not exist in the big database, the reference object is selected in the big database to select the reference object with the same class, material, weight and color as the artwork, if the reference object with the same class, material, weight and color does not exist in the big database, the reference object is selected in the big database to select the reference object with the same class, material and weight as the artwork, and the comparison is carried out on the aspects of class, material, weight, color and appearance by taking the reference object as a standard, and the result output is to output the comparison result of the artwork and the reference object to the analysis unit, a plurality of reference objects can be selected in the selection of the comparison objects, and the contrast range is increased.
The original data storage unit and the comparison data unit are stored on the basis of a cloud large database.
Wherein, the analysis conclusion output unit is used for outputting and converting the comparison result into a display mode such as a table, a comparison graph and the like.
In the embodiment, the ownership judging unit is arranged to judge the ownership of the artwork to be evaluated, so that the artwork with unknown incoming calendar is prevented from flowing into the market, and whether the artwork to be evaluated accords with the national artwork buying and selling rule is judged, so that the artwork influencing the image and reputation of China is prevented from flowing into the market, and the artwork to be evaluated and analyzed is effectively ensured to accord with the national commodity buying and selling law and circulation qualification.
In the embodiment, the data entry unit and the analysis unit are arranged to be matched together to realize big data analysis of the artwork, relevant data such as the type, the material, the weight, the color and the appearance of the artwork to be evaluated are sequentially entered through the data entry unit, a reference object of the artwork to be evaluated is selected through the analysis unit, comparison in the directions of the type, the material, the weight, the color and the appearance is performed, the whole analysis logic is clear, the contrast is strong, and the accuracy of contrastive analysis data is guaranteed.
In the embodiment, the original data of the artwork is stored by the original data storage unit, and the analysis and evaluation data is stored by the comparison data unit, so that the phenomenon of data loss is avoided, and the establishment of the big database of the artwork is effectively facilitated.
In the embodiment, the login unit is arranged to carry out personal identity authentication on the login user, so that non-working personnel are prevented from entering the analysis model, and the safety performance of the analysis model is improved.
In the description herein, references to the description of "one embodiment," "an example," "a specific example" or the like are intended to mean that a particular feature, structure, material, or characteristic described in connection with the embodiment or example is included in at least one embodiment or example of the invention. In this specification, the schematic representations of the terms used above do not necessarily refer to the same embodiment or example. Furthermore, the particular features, structures, materials, or characteristics described may be combined in any suitable manner in any one or more embodiments or examples.
The preferred embodiments of the invention disclosed above are intended to be illustrative only. The preferred embodiments are not intended to be exhaustive or to limit the invention to the precise embodiments disclosed. Obviously, many modifications and variations are possible in light of the above teaching. The embodiments were chosen and described in order to best explain the principles of the invention and the practical application, to thereby enable others skilled in the art to best utilize the invention. The invention is limited only by the claims and their full scope and equivalents.
Claims (7)
1. An artwork big data analysis model processing technology is characterized in that: comprises a login unit, an ownership judging unit, a data entry unit, an original data storage unit, an analysis unit, a comparison data storage unit and an analysis conclusion output unit, the login unit firstly carries out personal identity authentication, and enters the ownership judging unit after the identity authentication is successful, the ownership judging unit firstly carries out automatic verification and then carries out manual review, the data entry unit firstly carries out related information acquisition of the artwork to be analyzed, the related information enters the data entry unit after being acquired, related data of the data entry unit is stored by the original data storage unit, the related data is transmitted to the analysis unit after being stored, the analysis unit carries out big data analysis and comparison and obtains an analysis result, the analysis conclusion is firstly stored by the comparison data storage unit and then transmitted to the analysis conclusion output end member.
2. The artwork big data analysis model processing technology of claim 1, wherein the personal identity judgment basis of the login unit is that the system judges whether the user identity is correct by checking a user name and a password input by the user to see whether the user name and the password are consistent with those of the user stored in the system, and if the user identity is not correct, the system blocks an admission program and stores information of the disorganized user for later-stage information tracking query.
3. The art big data analysis model processing technology as claimed in claim 1, wherein the automatic verification of the ownership determination unit includes verifying whether the artwork meets the national artwork buying and selling rules and verifying whether the artwork has ownership, and the manual verification of the ownership determination unit includes the verification of the staff and the electronic signature of the staff.
4. The art big data analysis model processing technology as claimed in claim 1, wherein the data entry unit needs to perform related data entry of item type, material, weight, color and shape of the art in sequence, the weight is a weight range, and the shape is a similar shape.
5. The art big data analysis model processing technology as claimed in claim 1, wherein the analysis unit comprises a reference object selection, a comparison and a result output, the reference object selection requires selecting a reference object with the same class, material, weight, color and shape of the art in the big database, if no reference object with the same class, material, weight, color and shape exists in the big database, the reference object selection selects a reference object with the same class, material, weight and color as the art in the big database, and if no reference object with the same class, material, weight and color exists in the big database, the reference object selection selects a reference object with the same class, material and weight as the art in the big database, and the comparison is based on the reference object as a standard, the class, material and weight of the reference object are the same as the reference object, And comparing the weight, the color, the appearance and the like, and outputting the result of comparing the artwork with the reference object to an analysis unit.
6. The artwork big data analysis model processing technology of claim 1, wherein the raw data storage unit and the comparison data unit are stored based on a cloud big database.
7. The art big data analysis model processing technology as claimed in claim 1, wherein the analysis conclusion output unit is used for outputting the comparison result and converting the comparison result into a form, a comparison graph and other display modes.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202110561320.4A CN113345071A (en) | 2021-05-22 | 2021-05-22 | Artwork big data analysis model processing technology |
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| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202110561320.4A CN113345071A (en) | 2021-05-22 | 2021-05-22 | Artwork big data analysis model processing technology |
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| CN113345071A true CN113345071A (en) | 2021-09-03 |
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| CN202110561320.4A Pending CN113345071A (en) | 2021-05-22 | 2021-05-22 | Artwork big data analysis model processing technology |
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Citations (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN105005904A (en) * | 2015-08-06 | 2015-10-28 | 信码互通（北京）科技有限公司 | RFID-coding-based artwork tracing method |
| CN106779801A (en) * | 2016-11-21 | 2017-05-31 | 共同努力（北京）文化传播有限公司 | A kind of art work valve estimating system based on cloud service |
| CN108288012A (en) * | 2017-01-09 | 2018-07-17 | 北京艺鉴通科技有限公司 | A kind of art work realized based on mobile phone is put on record verification method and its system |
| CN109034841A (en) * | 2018-07-11 | 2018-12-18 | 宁波艾腾湃智能科技有限公司 | Art work identification, displaying and the transaction platform compared based on digitized image/model |
-
2021
- 2021-05-22 CN CN202110561320.4A patent/CN113345071A/en active Pending
Patent Citations (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN105005904A (en) * | 2015-08-06 | 2015-10-28 | 信码互通（北京）科技有限公司 | RFID-coding-based artwork tracing method |
| CN106779801A (en) * | 2016-11-21 | 2017-05-31 | 共同努力（北京）文化传播有限公司 | A kind of art work valve estimating system based on cloud service |
| CN108288012A (en) * | 2017-01-09 | 2018-07-17 | 北京艺鉴通科技有限公司 | A kind of art work realized based on mobile phone is put on record verification method and its system |
| CN109034841A (en) * | 2018-07-11 | 2018-12-18 | 宁波艾腾湃智能科技有限公司 | Art work identification, displaying and the transaction platform compared based on digitized image/model |
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