CN115617833A - Three-dimensional model storage, retrieval and combination generation method applied to shoe product - Google Patents

Three-dimensional model storage, retrieval and combination generation method applied to shoe product Download PDF

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CN115617833A
CN115617833A CN202211060616.9A CN202211060616A CN115617833A CN 115617833 A CN115617833 A CN 115617833A CN 202211060616 A CN202211060616 A CN 202211060616A CN 115617833 A CN115617833 A CN 115617833A
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model
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storing
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吴甜
杜常安
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Suzhou Tong'an Digital Technology Co ltd
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    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
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    • G06F16/00Information retrieval; Database structures therefor; File system structures therefor
    • G06F16/10File systems; File servers
    • G06F16/17Details of further file system functions
    • G06F16/172Caching, prefetching or hoarding of files
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06FELECTRIC DIGITAL DATA PROCESSING
    • G06F16/00Information retrieval; Database structures therefor; File system structures therefor
    • G06F16/20Information retrieval; Database structures therefor; File system structures therefor of structured data, e.g. relational data
    • G06F16/22Indexing; Data structures therefor; Storage structures
    • G06F16/2282Tablespace storage structures; Management thereof
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06FELECTRIC DIGITAL DATA PROCESSING
    • G06F16/00Information retrieval; Database structures therefor; File system structures therefor
    • G06F16/20Information retrieval; Database structures therefor; File system structures therefor of structured data, e.g. relational data
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    • G06COMPUTING; CALCULATING OR COUNTING
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    • G06F16/20Information retrieval; Database structures therefor; File system structures therefor of structured data, e.g. relational data
    • G06F16/28Databases characterised by their database models, e.g. relational or object models
    • G06F16/284Relational databases
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06FELECTRIC DIGITAL DATA PROCESSING
    • G06F16/00Information retrieval; Database structures therefor; File system structures therefor
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    • G06F16/345Summarisation for human users
    • YGENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
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    • Y02PCLIMATE CHANGE MITIGATION TECHNOLOGIES IN THE PRODUCTION OR PROCESSING OF GOODS
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    • Y02P90/30Computing systems specially adapted for manufacturing

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Abstract

The invention relates to the technical field of three-dimensional models, and discloses a three-dimensional model storage, retrieval and combination generation method applied to shoes. The invention has the advantages that: the method comprises the steps of managing a data flow of a 3D model through an application program system interface at the front end, managing a file system of the model and related files thereof through a self-defined instruction set, updating related characteristic and attribute definition data into an RDMS database in an SQL mode, obtaining related attribute data through SQL by an application program end through parameter configuration, calling model file resources of different levels in an instruction set mode, and generating output of a model combination through a function instruction set.

Description

Three-dimensional model storage, retrieval and combined generation method applied to shoe product
Technical Field
The invention relates to the technical field of three-dimensional models, in particular to a three-dimensional model storage, retrieval and combined generation method applied to shoe products.
Background
With the rapid development of internet technology and e-commerce platforms, the original presentation mode of commodity contents mainly comprising texts and pictures is gradually developed with a new commodity display trend of three-dimensional contents, and more merchants begin to issue three-dimensional models related to commodities on various e-commerce platforms to enhance the experience of users at present, particularly in the field of fashion shoes which are popular in recent years.
At present, the three-dimensional model of the shoe product occupies a large amount of working time in the whole database building process from the manufacturing to the warehousing. In addition, because of the large number of model files, the file size is large, and a plurality of attached files with different formats are often attached to a common model file, and because of different manufacturing software, the format of the model file is different, the file system is difficult to manage, the capability of query and statistical analysis is lacked, and the efficient management of the model is difficult to realize. In addition, the current shoe models all use SKU as the model making level, the different shoe models are difficult to share data, and various digital assets are difficult to reuse.
Disclosure of Invention
Technical problem to be solved
Aiming at the defects of the prior art, the invention provides a three-dimensional model storage, retrieval and combination generation method applied to shoe products, which has the advantages of convenience for three-dimensional model construction of different shoe products, shareable data files and the like, and solves the problems of low efficiency of three-dimensional model construction of the shoe products and difficulty in data sharing.
(II) technical scheme
In order to achieve the purposes of facilitating the three-dimensional model construction of different shoes and sharing data files, the invention provides the following technical scheme: a three-dimensional model storage, retrieval and combined generation method applied to shoes comprises the following steps:
1) Storing the 3D model-related files of the corresponding footwear into a file system;
2) The method comprises the following steps of (1) carrying out hierarchical division on a shoe product, setting a boundary and setting a corresponding data table;
3) Extracting the data of the files in the step 1 to obtain corresponding information summary files, and storing the information summary files in an RDMS relational database;
4) Inputting a required parameter set into a data engine through a data management platform;
5) The data engine calls corresponding data from the file system and the RDMS database respectively through a function instruction set and SQL;
6) The function instruction set combines the data obtained in step 5 with parameters and the like, and then outputs a model obtained by the combination.
Preferably, the 3D model-related file in step 1 includes a scan data file and a 3D model file.
Preferably, the shoe product level in step 2 includes components and attributes, the components include uppers, soles, insoles and others, and the attributes include materials, textures and colors.
Preferably, the information summary file in step 3 is obtained by associating file contents with storage paths.
Preferably, the extraction process algorithm in step 3 is as follows:
M n[] =[X 1 X 2 … X n ]=[X j ]。
preferably, the data engine in step 4 includes a 3D model data management engine and a data engine.
Preferably, the function instruction set in step 6 may perform conversion, storage, data extraction, hierarchical division, and data combination on the file.
(III) advantageous effects
Compared with the prior art, the invention provides a three-dimensional model storage, retrieval and combination generation method applied to shoes, which has the following beneficial effects:
the three-dimensional model storage, retrieval and combination generation method applied to the shoe product comprises the steps of managing a data flow of a 3D model through an application program system interface at the front end, managing a file system of the model and related files thereof through a self-defined instruction set, simultaneously updating related characteristic and attribute definition data into an RDMS database in an SQL mode, obtaining related attribute data through SQL by the application program end through parameter configuration, calling model file resources of different layers in an instruction set mode, and generating output of a model combination through a function instruction set, wherein the method carries out hierarchy demarcation on three-dimensional model data and provides a whole set of function operation instruction set, so that characteristic analysis of the shoe product is realized, assembly hierarchy splitting is realized, model recombination is carried out through instructions, and by the method of three-dimensional data storage retrieval and recombination, the retrieval management of the model data can be carried out efficiently, and the data recombination and generation of the three-dimensional model can be carried out, so that the use efficiency of three-dimensional digital assets is greatly improved.
Drawings
FIG. 1 is a schematic flow chart of the present invention;
FIG. 2 is a schematic view of a layer of an article of footwear according to the present invention;
FIG. 3 is a flow chart of data assembly according to the present invention;
fig. 4 is a schematic diagram of the interface connection according to 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 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 obtained by a person skilled in the art without making any creative effort based on the embodiments in the present invention, belong to the protection scope of the present invention.
A three-dimensional model storage, retrieval and combined generation method applied to shoes comprises the following steps:
1) Storing the 3D model-related files of the corresponding footwear into a file system;
2) The method comprises the following steps of (1) carrying out hierarchical division on a shoe product, setting a boundary and setting a corresponding data table;
3) Extracting the data of the files in the step 1 to obtain corresponding information summary files, and storing the information summary files in an RDMS relational database;
4) Inputting a required parameter set into a data engine through a data management platform;
5) The data engine calls corresponding data from the file system and the RDMS database respectively through a function instruction set and SQL;
6) The function instruction set combines the data obtained in step 5 with parameters and the like, and then outputs a model obtained by the combination.
The 3D model related files in the step 1 comprise a scanning data file and a 3D model file, and the data file comprises point cloud data, color information, intensity information and the like.
The point cloud data is a set of vectors of a model in a three-dimensional coordinate system of the model, and each point on the model comprises three-dimensional coordinates.
The color information is usually obtained by taking a high-definition picture with a camera and then calculating to give the color information of the pixel at the corresponding position to the corresponding point data in the point cloud data.
The intensity information is the echo intensity collected by scanning, and the intensity information is related to the vamp material, roughness, the light incident angle direction and the like.
And the storage of the 3D model file and the scanning data file is to associate the file content with a storage path to obtain an information summary file, and the information summary file is stored on a relational database of the RDMS for subsequent data processing and retrieval.
The shoe product level in the step 2 comprises components and attributes, wherein the components comprise vamps, soles, insoles and others, and the attributes comprise materials, textures and colors, and the level characteristics are as follows: the method is characterized in that the shoe products are classified according to different levels, the data characteristics are extracted, and the data are divided by setting boundaries, wherein the data comprise different attribute levels such as soles, vamps, insoles and the like, and are used for subsequent combination.
The information summary file in the step 3 is obtained by associating file contents with storage paths.
The extraction process algorithm in the step 3 is as follows:
M n[] =[X 1 X 2 … X n ]=[X j ]。
the original data set to be analyzed is a plurality of 3-dimensional data, including a plurality of groups of three-dimensional coordinates and attribute data such as point cloud data, color data, depth data and the like, and although these X attribute indexes can provide rich information, the data calculation work is further complicated. A great deal of similar data characteristics exist among the shoes, and the related indexes are often interconnected and influenced. Therefore, the characteristic data of the model is a linear combination of the found comprehensive indexes and the original attribute indexes, not only retains the main information of the original attribute indexes, but also is not related to each other, thereby summarizing the characteristics of the original model. The calculation process is as follows:
1. mixing X 1 X 2 … X n The formed matrix M is normalized, and is denoted as M after normalization b Calculating M b The matrix of correlation coefficients, denoted as R,
Figure BDA0003825865210000041
2. for the coefficient matrix R, solving the non-negative characteristic root of the characteristic equation by adopting a Jacobian method:
Figure BDA0003825865210000051
Figure BDA0003825865210000052
the data engine in the step 4 comprises a 3D model data management engine and a data engine.
The function instruction set in step 6 can perform conversion, storage, data extraction, hierarchical division and data combination on files, and the function instruction is mainly used for operation and related data processing of model files and mainly has the following functions:
conversion-conversion between different content formats.
And storing, namely storing the original files in a file system according to specification requirements respectively, and storing the characteristic data and the Meta data in a relational database.
And (4) extracting, namely extracting the characteristic or attribute value of the data and storing the data into a corresponding database table.
And (4) hierarchical division, namely identifying the space and attribute data characteristics of the 3D model and storing the definition of the space and attribute data characteristics into a data table.
And (4) generating a combination, namely combining the model files according to the input parameters so as to generate a new model.
For the model component, there are three types of function interfaces for data processing, which are:
1. a component interface;
2. a scheduling interface;
a meta interface.
The RDMS data is constructed by using a conventional relational database, and mainly manages data information of relations and attributes, thereby facilitating information retrieval and management.
The beneficial effects of the invention are: the method comprises the steps of managing a data flow of a 3D model through an application program system interface at the front end, managing a file system of the model and related files thereof through a self-defined instruction set, updating related characteristic and attribute definition data into an RDMS database in an SQL mode, obtaining related attribute data through SQL by an application program end through parameter configuration, calling model file resources of different layers in an instruction set mode, and generating output of a model combination through a function instruction set.
Although embodiments of the present invention have been shown and described, it will be appreciated by those skilled in the art that various changes, modifications, substitutions and alterations can be made in these embodiments without departing from the principles and spirit of the invention, the scope of which is defined in the appended claims and their equivalents.

Claims (7)

1. A three-dimensional model storage, retrieval and combination generation method applied to shoes is characterized by comprising the following steps:
1) Storing the 3D model-related files of the corresponding shoe products into a file system;
2) The method comprises the following steps of (1) carrying out hierarchical division on a shoe product, setting a boundary and setting a corresponding data table;
3) Extracting the data of the file in the step 1 to obtain a corresponding information summary file, and storing the information summary file in an RDMS relational database;
4) Inputting the required parameter set into the data engine through the data management platform;
5) The data engine calls corresponding data from the file system and the RDMS database respectively through a function instruction set and SQL;
6) The function instruction set combines the data obtained in step 5 with parameters and the like, and then outputs a model obtained by the combination.
2. The method for storing, retrieving and generating a three-dimensional model for an article of footwear according to claim 1, wherein the 3D model-related files in step 1 comprise a scan data file and a 3D model file.
3. The method for storing, retrieving and generating a three-dimensional model applied to an article of footwear according to claim 1, wherein the article level in step 2 comprises components and attributes, the components comprise an upper, a sole, a insole and others, and the attributes comprise material, texture and color.
4. The method for storing, retrieving and combining three-dimensional models applied to footwear according to claim 1, wherein the information summary file in step 3 is obtained by associating the file content with the storage path.
5. The method for storing, retrieving and generating a three-dimensional model applied to an article of footwear according to claim 1, wherein the algorithm of the extraction process in the step 3 is:
M n[] =[X 1 X 2 …X n ]=[X j ]。
6. the method of claim 1, wherein the data engine of step 4 comprises a 3D model data management engine and a data engine.
7. The method of claim 1, wherein the function instruction set of step 6 is capable of transforming, storing, extracting, layering and combining the files.
CN202211060616.9A 2022-08-30 2022-08-30 Three-dimensional model storage, retrieval and combination generation method applied to shoe product Pending CN115617833A (en)

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