CN112220162A - Shoe product personalized customization method based on digital design - Google Patents
Shoe product personalized customization method based on digital design Download PDFInfo
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- CN112220162A CN112220162A CN202010550122.3A CN202010550122A CN112220162A CN 112220162 A CN112220162 A CN 112220162A CN 202010550122 A CN202010550122 A CN 202010550122A CN 112220162 A CN112220162 A CN 112220162A
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- A—HUMAN NECESSITIES
- A43—FOOTWEAR
- A43D—MACHINES, TOOLS, EQUIPMENT OR METHODS FOR MANUFACTURING OR REPAIRING FOOTWEAR
- A43D1/00—Foot or last measuring devices; Measuring devices for shoe parts
- A43D1/02—Foot-measuring devices
- A43D1/022—Foot-measuring devices involving making footprints or permanent moulds of the foot
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- A—HUMAN NECESSITIES
- A43—FOOTWEAR
- A43D—MACHINES, TOOLS, EQUIPMENT OR METHODS FOR MANUFACTURING OR REPAIRING FOOTWEAR
- A43D1/00—Foot or last measuring devices; Measuring devices for shoe parts
- A43D1/02—Foot-measuring devices
- A43D1/025—Foot-measuring devices comprising optical means, e.g. mirrors, photo-electric cells, for measuring or inspecting feet
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q30/00—Commerce
- G06Q30/06—Buying, selling or leasing transactions
- G06Q30/0601—Electronic shopping [e-shopping]
- G06Q30/0621—Item configuration or customization
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T7/00—Image analysis
- G06T7/10—Segmentation; Edge detection
- G06T7/194—Segmentation; Edge detection involving foreground-background segmentation
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T7/00—Image analysis
- G06T7/60—Analysis of geometric attributes
- G06T7/66—Analysis of geometric attributes of image moments or centre of gravity
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T2207/00—Indexing scheme for image analysis or image enhancement
- G06T2207/10—Image acquisition modality
- G06T2207/10028—Range image; Depth image; 3D point clouds
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- Footwear And Its Accessory, Manufacturing Method And Apparatuses (AREA)
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Abstract
The invention discloses a digital design-based shoe product personalized customization method, which comprises the following steps: s1: acquiring shoe type data; s2: processing data; s3: data comparison; s4: revising a shoe tree; s5: calculating the customized duration; s6: and (5) producing a finished product. The invention relates to a method for producing personalized shoe products based on digitization, which comprises the steps of firstly establishing a database, recording the making sample data of the existing standardized shoe tree in the system, uploading the acquired foot data information to a cloud database, marking inconsistent data one by one, comparing according to the original acquired information after comparison, finally calculating the shoe making time, and submitting complete customized data to a customer.
Description
Technical Field
The invention relates to the technical field of shoe customization, in particular to a shoe personalized customization method based on digital design.
Background
The existing shoe making method is to determine a basic code foot model according to the foot model data of most people and different regions. And then according to the set basic code, according to the standard of the American shoe last, the European shoe last and the Chinese code level, the shoe is produced in batches. The shoes thus produced are produced in batches on this last, which represents the average value of the human foot. Therefore, there are problems in that it is impossible to conform to each individual sole shape and various sizes of lasts are to be manufactured in the production process, resulting in insufficient comfort of the footwear and an increase in the cost of manufacturing the lasts.
The Chinese shoe size standard is not suitable for market requirements, different shoe enterprises, different articles and brands mean different sizes, and the Chinese size standard is still in a basic stage taking length as a core, although the sizes of a plurality of countries are refined to different degrees such as foot width and foot circumference, the differences of left and right instep of partial crowds are too large due to the fact that the sizes are enlarged and reduced according to a fixed standard, and the conditions are as follows: if the No. 36 is too tight, the No. 37 is too loose or the left foot is suitable, the tightness of the right foot affects the health of the feet of the client; and the customization time can not be provided for customers, and the customers can not customize in advance according to the use condition of the customers, so that the customization quality of the shoe product is greatly reduced.
Disclosure of Invention
The invention aims to provide a shoe product personalized customization method based on digital design, which comprises the steps of firstly establishing a database, recording the manufacturing sample data of the existing standardized shoe tree in the system, uploading the acquired foot data information to a cloud database, comparing, marking inconsistent data one by one, comparing according to the original acquired information after comparison, finally calculating the shoe making time, and submitting complete customization information to a customer.
In order to achieve the purpose, the invention adopts the following technical scheme: a personalized customization method of shoe products based on digital design comprises the following steps:
s1: acquiring shoe shape data, namely acquiring foot data information of a customer by using a 3D foot scanner, and uploading the acquired foot data information to a cloud database;
s2: processing data; converting the collected foot data information into a three-dimensional image, processing the three-dimensional image by using design software, and converting the three-dimensional image into corresponding two-dimensional data;
s3: data comparison, namely taking the existing shoe tree sample as a comparison file, comparing the converted two-dimensional data with the shoe tree sample data, and marking;
s4: revising the shoe tree, revising the shoe tree according to the mark point, and enabling the revised data to be matched with the collected foot data information of the customer one by one;
s5: calculating the customized duration, and calling the inventory information of various production data required by the shoe product, the starting time for predicting the order production and the ending time for predicting the order production;
s6: and (5) producing a finished product, namely extracting the customized digital shoe tree model and producing the finished product.
Preferably, the foot data information of the customer comprises the information of the size, the structure, the quantity and the style of the shoes customized by the customer and the material of each part of the shoes, and the performance requirements of supporting, wrapping, skid resistance, wear resistance, shock absorption, ventilation and bending required by the shoes customized by the customer are acquired through the customized data.
Preferably, the 3D foot scanner in S1 is a CPR-300 foot scanner, which captures a stripe pattern on the surface of an object through a CCD camera, inputs the stripe pattern into a computer, and calculates the three-dimensional point cloud data of the spatial coordinates (X, Y, Z) of each point on the surface of the object by using a phase method, a trigonometry method, and the like according to the change of the stripe curvature, and then the revolving mechanism drives the scanning probe to revolve around the foot shape to obtain the data of the foot surface, and then the foot shape is removed, the memory material automatically records the shape of the lower sole, and the scanner revolves around the sole to scan the shape of the sole, and the data of the foot surface and the sole are automatically spliced together to form complete foot shape data.
Preferably, the two-dimensional data in S2 is obtained by dividing the plurality of captured images of the foot shape into binary images, that is, by dividing the foot shape into black and white backgrounds, and then finding the center of gravity of the foot shape in each image plane, and calculating the center of gravity of the foot shape in space.
Preferably, the marking point in S3 is determined on each last sample, and then the position of the marking point is scanned to a computer by a three-coordinate scanner as a point distribution model of the sample.
Preferably, the data comparison software in S3 adopts a data cube software, which is characterized by large database capacity, and simultaneously supports real-time capture of public data of the whole network, and solves the analysis difficulty from the data source end; in addition, the cube carries a mass computing platform of three engine systems of distributed search, semantic analysis and data visualization, and two core functions of data processing 'exploratory analysis' and 'second-level response' are realized.
Preferably, the step S4 of revising the shoe tree according to the mark points means that the personality vectors in the statistical deformation model of the shoe tree are adjusted according to the mark points until the projection of the model in each image is most consistent with the real image of the foot shape, so as to obtain the digital shoe tree model consistent with the foot shape.
The invention has the technical effects and advantages that: compared with the prior art, the invention provides a shoe product personalized customization method based on digital design, which has the following advantages:
the invention relates to a method for producing personalized customized shoe products based on digitization, which comprises the steps of firstly establishing a database, recording the manufacture sample data of the existing standardized shoe tree in the system, uploading the acquired foot data information to a cloud database, comparing, marking inconsistent data one by one, comparing according to the original acquired information after comparison, finally calculating the shoe making time, and submitting complete customized data to a customer.
Detailed Description
In order to make the objects, technical solutions and advantages of the present invention more apparent, the present invention is further described in detail with reference to the following embodiments. It should be understood that the specific embodiments described herein are merely illustrative of the invention and are not intended to limit the invention. 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.
The invention provides a digital design-based shoe product personalized customization method, which comprises the following steps:
s1: acquiring shoe shape data, namely acquiring foot data information of a customer by using a 3D foot scanner, and uploading the acquired foot data information to a cloud database;
s2: processing data; converting the collected foot data information into a three-dimensional image, processing the three-dimensional image by using design software, and converting the three-dimensional image into corresponding two-dimensional data;
s3: data comparison, namely taking the existing shoe tree sample as a comparison file, comparing the converted two-dimensional data with the shoe tree sample data, and marking;
s4: revising the shoe tree, revising the shoe tree according to the mark point, and enabling the revised data to be matched with the collected foot data information of the customer one by one;
s5: calculating the customized duration, and calling the inventory information of various production data required by the shoe product, the starting time for predicting the order production and the ending time for predicting the order production;
s6: and (5) producing a finished product, namely extracting the customized digital shoe tree model and producing the finished product.
Specifically, the foot data information of the customer includes the information of the size, the structure, the number and the style of the shoes customized by the customer and the material of each part of the shoes, and acquires the performance requirements of supporting, wrapping, skid resistance, wear resistance, shock absorption, ventilation and bending of the shoes customized by the customer through the customized data.
Specifically, the 3D foot scanner in S1 is a CPR-300 foot scanner, which captures a stripe pattern on the surface of an object through a CCD camera, inputs the stripe pattern into a computer, and calculates the three-dimensional point cloud data of the spatial coordinates (X, Y, Z) of each point on the surface of the object accurately by using a phase method, a trigonometry method, and the like according to the change of the stripe curvature, and then a rotation mechanism drives a scanning probe to rotate around the foot shape for one circle, so as to obtain the data of the foot surface, and then the foot shape is removed, the memory material automatically records the shape of the lower sole, and the scanner rotates around the sole for one circle to scan the shape of the sole, so that the data of the foot surface and the sole are automatically spliced together to form complete foot shape data.
Specifically, the two-dimensional data in S2 is obtained by dividing a plurality of captured images of the foot shape into binary images, that is, by dividing the foot shape into black and white backgrounds, and then finding the center of gravity of the foot shape in each image plane, and calculating the center of gravity of the foot shape in space.
Specifically, the marking point in S3 is determined on each last sample, and then the position of the marking point is scanned to a computer by a three-coordinate scanner, which is used as a point distribution model of the sample.
Specifically, the data comparison software in S3 adopts a data cube software, which is characterized by large database capacity, and simultaneously supports real-time capture of public data of the whole network, and solves the analysis difficulty from the data source end; in addition, the cube carries a mass computing platform of three engine systems of distributed search, semantic analysis and data visualization, and two core functions of data processing 'exploratory analysis' and 'second-level response' are realized.
Specifically, the step of revising the shoe tree according to the mark point in S4 is to adjust the personality vector in the statistical deformation model of the shoe tree according to the mark point until the projection of the model in each image is most matched with the real image of the foot shape, so as to obtain the digitized shoe tree model consistent with the foot shape.
In summary, the following steps: the invention relates to a method for producing personalized customized shoe products based on digitization, which comprises the steps of firstly establishing a database, recording the manufacture sample data of the existing standardized shoe tree in the system, uploading the acquired foot data information to a cloud database, comparing, marking inconsistent data one by one, comparing according to the original acquired information after comparison, finally calculating the shoe making time, and submitting complete customized data to a customer.
Finally, it should be noted that: although the present invention has been described in detail with reference to the foregoing embodiments, it will be apparent to those skilled in the art that modifications may be made to the embodiments or portions thereof without departing from the spirit and scope of the invention.
Claims (7)
1. A personalized customization method of shoe products based on digital design is characterized in that: the method comprises the following steps:
s1: acquiring shoe shape data, namely acquiring foot data information of a customer by using a 3D foot scanner, and uploading the acquired foot data information to a cloud database;
s2: processing data; converting the collected foot data information into a three-dimensional image, processing the three-dimensional image by using design software, and converting the three-dimensional image into corresponding two-dimensional data;
s3: data comparison, namely taking the existing shoe tree sample as a comparison file, comparing the converted two-dimensional data with the shoe tree sample data, and marking;
s4: revising the shoe tree, revising the shoe tree according to the mark point, and enabling the revised data to be matched with the collected foot data information of the customer one by one;
s5: calculating the customized duration, and calling the inventory information of various production data required by the shoe product, the starting time for predicting the order production and the ending time for predicting the order production;
s6: and (5) producing a finished product, namely extracting the customized digital shoe tree model and producing the finished product.
2. The personalized customization method for footwear based on digital design according to claim 1, characterized in that: the foot data information of the customer comprises the information of the size, the structure, the number and the style of the shoes customized by the customer and the material of each part of the shoes, and collects the performance requirements of supporting, wrapping, skid resistance, wear resistance, shock absorption, ventilation and bending of the shoes customized by the customer through the customized data.
3. The personalized customization method for footwear based on digital design according to claim 1, characterized in that: the 3D foot scanner in the S1 is a CPR-300 foot scanner, a CCD camera is used for simultaneously shooting stripe patterns on the surface of an object, the stripe patterns are input into a computer, space coordinate (X, Y, Z) three-dimensional point cloud data of each point on the surface of the object is accurately calculated by using a phase method, a trigonometry method and the like according to the change of stripe curvature, then a rotary mechanism drives a scanning measuring head to rotate around a foot shape for a circle, so that foot surface data can be obtained, then the foot shape is removed, a memory material can automatically record the shape of the lower sole, the scanner rotates around the sole for a circle to scan the shape of the sole, the data of the foot surface and the data of the sole can be automatically spliced together, and complete foot shape data are formed.
4. The personalized customization method for footwear based on digital design according to claim 1, characterized in that: the two-dimensional data in S2 is obtained by dividing a plurality of captured images of the foot shape into binary images, that is, by dividing the foot shape into black and white backgrounds, and then finding the center of gravity of the foot shape in each image plane, and calculating the center of gravity of the foot shape in space.
5. The personalized customization method for footwear based on digital design according to claim 1, characterized in that: the marking point in S3 is to determine the position of the marking point on each last sample, and then scan the position of the marking point to a computer by using a three-coordinate scanner, so as to be used as a point distribution model of the sample.
6. The personalized customization method for footwear based on digital design according to claim 1, characterized in that: the data comparison software in the S3 adopts a data cube software, and is characterized in that the data cube software has large database capacity, simultaneously supports real-time capture of whole network public data, and solves the analysis difficulty from the data source end; in addition, the cube carries a mass computing platform of three engine systems of distributed search, semantic analysis and data visualization, and two core functions of data processing 'exploratory analysis' and 'second-level response' are realized.
7. The personalized customization method for footwear based on digital design according to claim 1, characterized in that: and the step S4 of revising the shoe tree according to the mark points refers to the step of adjusting the individual vectors in the statistical deformation model of the shoe tree according to the mark points until the projection of the model in each image is most consistent with the real image of the foot shape, so that the digital shoe tree model consistent with the foot shape is obtained.
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| Application Number | Priority Date | Filing Date | Title |
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| CN202010550122.3A CN112220162A (en) | 2020-06-16 | 2020-06-16 | Shoe product personalized customization method based on digital design |
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| CN202010550122.3A CN112220162A (en) | 2020-06-16 | 2020-06-16 | Shoe product personalized customization method based on digital design |
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Citations (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN1348731A (en) * | 2001-11-14 | 2002-05-15 | 浙江大学 | personalized shoe tree mold designing method |
| CN101339640A (en) * | 2008-08-27 | 2009-01-07 | 清华大学 | Network platform based footwear customization system and method |
| CN101369145A (en) * | 2008-09-28 | 2009-02-18 | 浙江大学 | Interactive shoehorn modeling method based on human foot characteristic size |
| CN101887477A (en) * | 2010-06-25 | 2010-11-17 | 温州大学 | Method for customizing digitalized shoe trees according to a plurality of images of foot shapes |
| CN104679857A (en) * | 2015-02-16 | 2015-06-03 | 陈萌 | Recommendation method and recommendation systembased on matched information |
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2020
- 2020-06-16 CN CN202010550122.3A patent/CN112220162A/en active Pending
Patent Citations (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN1348731A (en) * | 2001-11-14 | 2002-05-15 | 浙江大学 | personalized shoe tree mold designing method |
| CN101339640A (en) * | 2008-08-27 | 2009-01-07 | 清华大学 | Network platform based footwear customization system and method |
| CN101369145A (en) * | 2008-09-28 | 2009-02-18 | 浙江大学 | Interactive shoehorn modeling method based on human foot characteristic size |
| CN101887477A (en) * | 2010-06-25 | 2010-11-17 | 温州大学 | Method for customizing digitalized shoe trees according to a plurality of images of foot shapes |
| CN104679857A (en) * | 2015-02-16 | 2015-06-03 | 陈萌 | Recommendation method and recommendation systembased on matched information |
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