CN105354718A - Intelligent shoe selection method and device - Google Patents
Intelligent shoe selection method and device Download PDFInfo
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- CN105354718A CN105354718A CN201510925703.XA CN201510925703A CN105354718A CN 105354718 A CN105354718 A CN 105354718A CN 201510925703 A CN201510925703 A CN 201510925703A CN 105354718 A CN105354718 A CN 105354718A
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Abstract
The invention discloses an intelligent shoe selection method and device. The intelligent shoe selection method comprises the steps: obtaining shoes requested by a user to be matched in type and data of feet of the user, recording the data of the feet of the user as first data, obtaining foot model data having the highest degree of matching with the shoes from a preset type-matching database, recording the foot model data having the highest degree of the matching with the shoes as second data, and comparing the first data with the second data to obtain a matching condition, wherein the type-matching database comprises corresponding relationships of matching degrees between the shoes and multiple foot models. The user does not need to try the shoes on, and then whether the shoes fit the feet can be accurately determined.
Description
Technical field
The present invention relates to shoes field, espespecially Intelligent Selection shoes method and device.
Background technology
At present, user's usual manual measurement pin is long, and footwear that are long according to pin and footwear are long, choose the shoes fitted.But, except the length of pin, other parameters of pin, as wide in pin, instep is high, is also the important references index choosing shoes, be only difficult to choose the shoes fitted according to pin is long.
CN201512211U discloses a kind of footwear box with measurement function in 2010-06-23, comprise a box body, one lid matched with box body, footwear box is also provided with a scale unit, the footwear box with measurement function of the present utility model, except holding shoes, also can measure pin long, make things convenient for customers and select the shoes of oneself size suitable when buying shoes.
CN202197938U discloses a kind of instrument of ordinary surveying foot type in 2012-04-25, include a measuring table, it is characterized in that this measuring table is provided with square paper with a scale, square paper is provided with an axis and a Jiao Xing district, heel mid point and the pin two in Jiao Xing district refer to that the line of mid point is overlapping with axis, the heel mid point in Jiao Xing district is overlapping with the bottom point of axis, the bottom point of axis is 0 scale, the scale of a long 29cm is provided with on the right side of square paper, its minimum scale is 1mm, being provided with one at 17cm place with axis is 0 scale, the scale of each 8cm in left and right, its minimum scale is 1mm, the AR positioning area of band oblique line or background colour is drawn at Jiao Xing district first sole of the foot toe and the 5th articulationes metatarsophalangeae bump place respectively, this instrument can the putting position of angle, can rapidly easily side go out that pin is long and pin is wide, and locate the position of the first sole of the foot toe and the 5th sole of the foot toe, find the point measured the sole of the foot and enclose accurately, easy and simple to handle, Quick Measurement foot type data, and tool practicality.
Although above-mentioned measuring method can measure the parameter of multiple foots such as pin is long, pin is wide, but the footwear dispatched from the factory become the classification of Article Number type (38/39/40/..) just pin length, the complete size characteristic of shoes can not be expressed, reference information is not had for long (jack per line) the different foot type of same pin.User can not understand other parameters of shoes, as wide in footwear, vamp is high, except in person trying on, is difficult to judge whether shoes fit.
Summary of the invention
The invention provides a kind of raising and judge whether shoes fit the Intelligent Selection shoes method of accuracy and device.
The object of the invention is to be achieved through the following technical solutions:
A kind of Intelligent Selection shoes method, comprises step:
Obtain the data that user asks the footwear of distribution type and the pin of user; The data of the pin of described user are designated as the first data;
The pin modulus certificate the highest with described footwear matching degree is obtained from the distribution type database preset; The pin modulus certificate that described and described footwear matching degree is the highest is designated as the second data; Described distribution type database comprises the corresponding relation of the matching degree of footwear and multiple pin mould;
First data and the second data are compared, obtains match condition.
Further, described first data comprise user's instep data; Described second data comprise benchmark instep data; Describedly the first data and the second data are compared, the method obtaining match condition comprises:
User's instep data are compared with benchmark instep data;
If user's instep data deduct the difference of benchmark instep data in the interval of presetting, described match condition is for fitting; Exceed interval higher limit, described match condition is instep card base; Lower than the lower limit in interval, described match condition is loose.
Further, described first data comprise user's pin long data; Described second data comprise benchmark pin long data; Describedly the first data and the second data are compared, the method obtaining match condition comprises:
User's pin long data is compared with benchmark pin long data;
If user's pin long data deducts the difference of benchmark pin long data in the interval of presetting, described match condition is for fitting; Exceed interval higher limit, described match condition is that front and back press against one's foot; Lower than the lower limit in interval, described match condition is that pin is short.
Further, described first data comprise the wide data of user's pin; Described second data comprise the wide data of benchmark pin; Describedly the first data and the second data are compared, the method obtaining match condition comprises:
Wide for user's pin data are compared with the wide data of benchmark pin;
If the wide data of user's pin deduct the difference of the wide data of benchmark pin in the interval of presetting, described match condition is for fitting; Exceed interval higher limit, described match condition is pin side card base; Lower than the lower limit in interval, described match condition is loose.
Further, described method also comprises the described distribution type database of generation:
Set up pin mould database, described pin mould database comprises the data of the pin of multiple pin mould;
Described multiple pin mould tries the footwear of the jack per station of every a footwear successively on, obtains the matching degree of trying on;
By described pin mould database with set up corresponding relation by the footwear that described multiple pin mould is tried on, obtain described distribution type database.
Further, described pin mould database of setting up comprises:
Obtain the data of the pin of sample of users, set up foot type database;
According to the rule preset from foot type database extracted data sample, set up pin mould database.
Further, the ID that described multiple pin mould is corresponding unique respectively, described ID is by machine recognition representation.
Further, described by described pin mould database with set up corresponding relation by the footwear that described multiple pin mould is tried on and comprise:
By the machine identifier that scans described multiple pin mould by described pin mould database with set up corresponding relation by the footwear that described multiple pin mould is tried on.
A kind of Intelligent Selection footwear apparatus, comprising:
Data capture unit: obtain the data that user asks the footwear of distribution type and the pin of user; The data of the pin of described user are designated as the first data;
Matching unit: obtain the pin modulus certificate the highest with described footwear matching degree from the distribution type database preset; The pin modulus certificate that described and described footwear matching degree is the highest is designated as the second data; Described distribution type database comprises the corresponding relation of the matching degree of footwear and multiple pin mould;
Judging unit: the first data and the second data are compared, obtains match condition.
Further, the described footwear apparatus that can select also comprises:
Pin mould database creation unit: the data obtaining the pin of sample of users, sets up foot type database;
According to the rule preset from foot type database extracted data sample, set up pin mould database; Described pin mould database comprises the data of the pin of multiple pin mould;
The multidimensional of footwear demarcates unit: for by described pin mould database with set up corresponding relation by the footwear that described multiple pin mould is tried on, obtain described distribution type database.
In the present invention, the data of footwear and the data of user's pin all follow the second data corresponding, therefore, as long as producing or matching in advance in sales process the data of footwear and pin mould, as long as submit the data of oneself pin to time user buys, and choose the footwear wanted, then footwear the second data of finding matching degree the highest, preferably by the data of pin and the second data that compare user, just can whether fit by shoes.The data of pin need not directly compare with shoes data by the present invention, and fiduciary level is higher, and need not set up the data of shoes, and embodiment is simple.The present invention tries in person without the need to user, just accurately can judge whether shoes fit.
Accompanying drawing explanation
Fig. 1 is embodiment of the present invention Intelligent Selection shoes method schematic diagram;
Fig. 2 is the principle schematic of embodiment of the present invention Intelligent Selection footwear apparatus;
Fig. 3 is the method schematic diagram that the embodiment of the present invention sets up pin mould database;
Fig. 4 is the method schematic diagram that the embodiment of the present invention sets up the multidimensional demarcation of footwear;
Fig. 5 is the schematic diagram of another embodiment of the present invention Intelligent Selection footwear apparatus;
Fig. 6 is the schematic diagram of embodiment of the present invention overall flow.
Embodiment
As shown in Figure 1, the present invention discloses a kind of Intelligent Selection shoes method, comprises step:
S11, acquisition user ask the data of the footwear of distribution type and the pin of user; The data of the pin of described user are designated as the first data;
S12, the pin modulus certificate that acquisition is the highest with described footwear matching degree from the distribution type database preset; The pin modulus certificate that described and described footwear matching degree is the highest is designated as the second data; Described distribution type database comprises the corresponding relation of the matching degree of footwear and multiple pin mould;
S13, the first data and the second data to be compared, obtain match condition.
As shown in Figure 2, the present invention is a kind of Intelligent Selection footwear apparatus also, comprising:
Data capture unit 1: obtain the data that user asks the footwear of distribution type and the pin of user; The data of the pin of described user are designated as the first data;
Matching unit 2: obtain the pin modulus certificate the highest with described footwear matching degree from the distribution type database preset; The pin modulus certificate that described and described footwear matching degree is the highest is designated as the second data; Described distribution type database comprises the corresponding relation of the matching degree of footwear and multiple pin mould;
Judging unit 3: for the first data and the second data being compared, obtain match condition.
In the present invention, the data of footwear and the data of user's pin all follow the second data corresponding, therefore, as long as producing or matching in advance in sales process the data of footwear and pin mould, as long as submit the data of oneself pin to time user buys, and choose the footwear wanted, then footwear the second data of finding matching degree the highest, preferably by comparing the first data and the second data, just can whether fit by shoes.The data of pin need not directly compare with shoes data by the present invention, and fiduciary level is higher, and need not set up the data of shoes, and embodiment is simple.The present invention tries in person without the need to user, just accurately can judge whether shoes fit.
Before in further detail exemplary embodiment being discussed, it should be mentioned that some exemplary embodiments are described as the process or method described as process flow diagram.Although operations is described as the process of order by process flow diagram, many operations wherein can be implemented concurrently, concomitantly or simultaneously.In addition, the order of operations can be rearranged.Described process can be terminated when its operations are completed, but can also have the additional step do not comprised in the accompanying drawings.Described process can correspond to method, function, code, subroutine, subroutine etc.
Within a context alleged " computer equipment ", also referred to as " computer ", refer to the intelligent electronic device that can be performed the predetermined process such as numerical evaluation and/or logical calculated process by operation preset program or instruction, it can comprise processor and storer, the survival instruction that prestores in memory is performed to perform predetermined process process by processor, or perform predetermined process process by the hardware such as ASIC, FPGA, DSP, or combined by said two devices and realize.Computer equipment includes but not limited to server, PC, notebook computer, panel computer, smart mobile phone etc.
Described computer equipment comprises subscriber equipment and the network equipment.Wherein, described subscriber equipment includes but not limited to computer, smart mobile phone, PDA etc.; The described network equipment includes but not limited to the server group that single network server, multiple webserver form or the cloud be made up of a large amount of computing machine or the webserver based on cloud computing (CloudComputing), wherein, cloud computing is the one of Distributed Calculation, the super virtual machine be made up of a group loosely-coupled computing machine collection.Wherein, described computer equipment isolated operation can realize the present invention, also accessible network by realizing the present invention with the interactive operation of other computer equipments in network.Wherein, the network residing for described computer equipment includes but not limited to internet, wide area network, Metropolitan Area Network (MAN), LAN (Local Area Network), VPN etc.
It should be noted that; described subscriber equipment, the network equipment and network etc. are only citing; other computer equipments that are existing or that may occur from now on or network, as being applicable to the present invention, within also should being included in scope, and are contained in this with way of reference.
Method (some of them are illustrated by process flow diagram) discussed below can be implemented by hardware, software, firmware, middleware, microcode, hardware description language or its combination in any.When implementing by software, firmware, middleware or microcode, program code or code segment in order to implement necessary task can be stored in machine or computer-readable medium (such as storage medium).(one or more) processor can implement necessary task.
Concrete structure disclosed herein and function detail are only representational, and are the objects for describing exemplary embodiment of the present invention.But the present invention can carry out specific implementation by many replacement forms, and should not be construed as only being limited to the embodiments set forth herein.
Here used term is only used to describe specific embodiment and be not intended to limit exemplary embodiment.Unless context refers else clearly, otherwise singulative used here " ", " one " are also intended to comprise plural number.It is to be further understood that, the existence of the feature that term used here " comprises " and/or " comprising " specifies to state, integer, step, operation, unit and/or assembly, and do not get rid of and there is or add other features one or more, integer, step, operation, unit, assembly and/or its combination.
Also it should be mentioned that and to replace in implementation at some, the function/action mentioned can according to being different from occurring in sequence of indicating in accompanying drawing.For example, depend on involved function/action, in fact the two width figure in succession illustrated can perform simultaneously or sometimes can perform according to contrary order substantially.
Below in conjunction with accompanying drawing and preferred embodiment, the invention will be further described.
Disclosed in present embodiment, Intelligent Selection shoes method comprises step:
Obtain footwear and the first data that user asks distribution type;
Obtain second data the highest with described footwear matching degree;
First data and the second data are compared, obtains match condition.
Reference table one, specifically, described first data comprise user's instep data; Described second data comprise benchmark instep data; Describedly the first data and the second data are compared, the method obtaining match condition comprises:
User's instep data are compared with benchmark instep data;
If user's instep data deduct the difference of benchmark instep data in the interval of presetting, described match condition is for fitting; Exceed interval higher limit, described match condition is instep card base; Lower than the lower limit in interval, described match condition is loose.
Optionally, described first data comprise user's pin long data; Described second data comprise benchmark pin long data; Describedly the first data and the second data are compared, the method obtaining match condition comprises:
User's pin long data is compared with benchmark pin long data;
If user's pin long data deducts the difference of benchmark pin long data in the interval of presetting, described match condition is for fitting; Exceed interval higher limit, described match condition is that front and back press against one's foot; Lower than the lower limit in interval, described match condition is that pin is short.
Optionally, described first data comprise the wide data of user's pin; Described second data comprise the wide data of benchmark pin; Describedly the first data and the second data are compared, the method obtaining match condition comprises:
Wide for user's pin data are compared with the wide data of benchmark pin;
If the wide data of user's pin deduct the difference of the wide data of benchmark pin in the interval of presetting, described match condition is for fitting; Exceed interval higher limit, described match condition is pin side card base; Lower than the lower limit in interval, described match condition is loose.
Need to further illustrate, above data relatively can individual compare, also can multinomial comparison, comprehensive descision.The present invention also can compare other parameters of the pin such as bottoms, arch of foot, and the data compared are more, and match condition is more detailed, also more accurate, do not repeat them here.
Table one: the first data compare with the second data (MATCH algorithm)
With reference to figure 3, present embodiment also discloses a kind of method that multidimensional setting up pin mould database and footwear is demarcated.
The method setting up pin mould database comprises:
The data of the pin of S31, acquisition sample of users, set up foot type database;
S32, according to preset rule from foot type database extracted data sample, set up pin mould database.
Specifically, by a large amount of pin of growing up of foot type triplex scanner scanning, the database of various foot type is set up in one factory this locality, each data sample (pin) is containing { pin is long, pin is wide, bottoms, pin are high ... the dimension information of various dimensions, and having user's called after " pin mould " of characteristic feature pin data, set up pin mould list (reference table two).
Each pin mould/user has unique ID, available machines used identification code, as bar code, Quick Response Code carry out graph-based, and the Data Enter that aspect is follow-up.
Read pin mould ID by independent software system and its whole foot type data can be provided in a database.
Table two: pin mould database example
As shown in Figure 4, the method that in present embodiment, the multidimensional of footwear is demarcated comprises:
S41, set up pin mould database, described pin mould database comprises the data of the pin of multiple pin mould;
S42, described multiple pin mould try the footwear of the jack per station of every a footwear successively on, obtain the matching degree of trying on;
S43, by described pin mould database with set up corresponding relation by the footwear that described multiple pin mould is tried on, obtain described distribution type database (reference table four).
Optionally, the present invention first can also set up the data archival (reference table three) based on number type, by number type data and the pin mould Database corresponding relation of these footwear type data, sets up data archival; Then described training data storehouse is obtained again according to data archival.
The method of described acquisition and the highest the second data of described footwear matching degree comprises: from distribution type database, obtain second data the highest with described footwear matching degree.The second data that all couplings need obtain from pin mould database.
Specifically, pin mould is provided with Quick Response Code, can find the second corresponding data by the two-dimension code pattern of scanning pin mould from pin mould database, realizes number type of this footwear type and the binding of the second corresponding data.
Table three: data archival example
Table four: complete distribution type database example
| L | Pin is long | Pin is wide | Instep is high | Instep encloses | R | Pin is long | Pin is wide | Instep is high | Instep encloses | |
| 38 | *-* | *-* | *-* | *-* | *-* | *-* | *-* | *-* | ||
| 39 | *-* | *-* | *-* | *-* | *-* | *-* | *-* | *-* | ||
| 40 | *-* | *-* | *-* | *-* | *-* | *-* | *-* | *-* | ||
| 41 | *-* | *-* | *-* | *-* | *-* | *-* | *-* | *-* | ||
| 42 | *-* | *-* | *-* | *-* | *-* | *-* | *-* | *-* | ||
| 43 | *-* | *-* | *-* | *-* | *-* | *-* | *-* | *-* |
It should be noted that, " * * ", with reference to above form, can be replaced to actual numerical value by measuring or manually setting by those skilled in the art.Therefore, above form is openly sufficient, and those skilled in the art can implement completely.
As shown in Figure 5, as another embodiment of the present invention.Intelligent Selection footwear apparatus disclosed in present embodiment, comprising:
Data capture unit 1: footwear and first data of asking distribution type for obtaining user;
Matching unit 2: for obtaining second data the highest with described footwear matching degree;
Judging unit 3: for the first data and the second data being compared, obtain match condition.
Pin mould database creation unit 4: for obtaining the data of the pin of sample of users, set up foot type database; From foot type database extracted data sample, set up pin mould database;
The multidimensional of footwear demarcates unit 5: for obtaining footwear type data; Described footwear type packet bracket type data; Tried on the second data determining that footwear type data each type data are corresponding by pin mould; Set up the distribution type database based on footwear type data and the second data corresponding to each's type data thereof;
Second data obtain from described pin mould database creation unit; Described matching unit obtains second data the highest with described footwear matching degree from distribution type database.
Fig. 6 gives the present invention the overall flow schematic diagram of design.User can in the subscriber equipment (as mobile phone, flat board, computing machine) access back-end data operation centre, in the interface of ejecting, initiate distribution type request, input the size of oneself pin and the footwear type selected and number type thereof.Back-end data operation centre is calling data from the pin mould database set up, complete distribution type database S-F database, compares [MATCH (CS)], finally match condition is fed back to subscriber equipment.
User interface can also show:
Above content is in conjunction with concrete preferred implementation further description made for the present invention, can not assert that specific embodiment of the invention is confined to these explanations.For general technical staff of the technical field of the invention, without departing from the inventive concept of the premise, some simple deduction or replace can also be made, all should be considered as belonging to protection scope of the present invention.
Claims (10)
1. an Intelligent Selection shoes method, is characterized in that, comprises step:
Obtain the data that user asks the footwear of distribution type and the pin of user; The data of the pin of described user are designated as the first data;
The pin modulus certificate the highest with described footwear matching degree is obtained from the distribution type database preset; The pin modulus certificate that described and described footwear matching degree is the highest is designated as the second data; Described distribution type database comprises the corresponding relation of the matching degree of footwear and multiple pin mould;
First data and the second data are compared, obtains match condition.
2. Intelligent Selection shoes method according to claim 1, is characterized in that, described first data comprise user's instep data; Described second data comprise benchmark instep data; Describedly the first data and the second data are compared, the method obtaining match condition comprises:
User's instep data are compared with benchmark instep data;
If user's instep data deduct the difference of benchmark instep data in the interval of presetting, described match condition is for fitting; Exceed interval higher limit, described match condition is instep card base; Lower than the lower limit in interval, described match condition is loose.
3. Intelligent Selection shoes method according to claim 1, is characterized in that, described first data comprise user's pin long data; Described second data comprise benchmark pin long data; Describedly the first data and the second data are compared, the method obtaining match condition comprises:
User's pin long data is compared with benchmark pin long data;
If user's pin long data deducts the difference of benchmark pin long data in the interval of presetting, described match condition is for fitting; Exceed interval higher limit, described match condition is that front and back press against one's foot; Lower than the lower limit in interval, described match condition is that pin is short.
4. Intelligent Selection shoes method according to claim 1, is characterized in that, described first data comprise the wide data of user's pin; Described second data comprise the wide data of benchmark pin; Describedly the first data and the second data are compared, the method obtaining match condition comprises:
Wide for user's pin data are compared with the wide data of benchmark pin;
If the wide data of user's pin deduct the difference of the wide data of benchmark pin in the interval of presetting, described match condition is for fitting; Exceed interval higher limit, described match condition is pin side card base; Lower than the lower limit in interval, described match condition is loose.
5. according to the arbitrary described Intelligent Selection shoes method of claim 1-4, it is characterized in that, described method also comprises the described distribution type database of generation:
Set up pin mould database, described pin mould database comprises the data of the pin of multiple pin mould;
Described multiple pin mould tries the footwear of the jack per station of every a footwear successively on, obtains the matching degree of trying on;
By described pin mould database with set up corresponding relation by the footwear that described multiple pin mould is tried on, obtain described distribution type database.
6. Intelligent Selection shoes method according to claim 5, is characterized in that, described pin mould database of setting up comprises:
Obtain the data of the pin of sample of users, set up foot type database;
According to the rule preset from foot type database extracted data sample, set up pin mould database.
7. Intelligent Selection shoes method according to claim 6, is characterized in that, the ID that described multiple pin mould is corresponding unique respectively, and described ID is by machine recognition representation.
8. Intelligent Selection shoes method according to claim 7, is characterized in that, described by described pin mould database with set up corresponding relation by the footwear that described multiple pin mould is tried on and comprise:
By the machine identifier that scans described multiple pin mould by described pin mould database with set up corresponding relation by the footwear that described multiple pin mould is tried on.
9. an Intelligent Selection footwear apparatus, is characterized in that, comprising:
Data capture unit: obtain the data that user asks the footwear of distribution type and the pin of user; The data of the pin of described user are designated as the first data;
Matching unit: obtain the pin modulus certificate the highest with described footwear matching degree from the distribution type database preset; The pin modulus certificate that described and described footwear matching degree is the highest is designated as the second data; Described distribution type database comprises the corresponding relation of the matching degree of footwear and multiple pin mould;
Judging unit: the first data and the second data are compared, obtains match condition.
10. Intelligent Selection footwear apparatus according to claim 1, is characterized in that, the described footwear apparatus that can select also comprises:
Pin mould database creation unit: the data obtaining the pin of sample of users, sets up foot type database;
According to the rule preset from foot type database extracted data sample, set up pin mould database; Described pin mould database comprises the data of the pin of multiple pin mould;
The multidimensional of footwear demarcates unit: for by described pin mould database with set up corresponding relation by the footwear that described multiple pin mould is tried on, obtain described distribution type database.
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| CN107704873A (en) * | 2017-09-27 | 2018-02-16 | 吴立俊 | A kind of footwear money adaption system and method based on foot type and fat and lean degree |
| CN108772992A (en) * | 2018-05-18 | 2018-11-09 | 东莞市兴茂橡塑科技有限公司 | The production method of foot mould, the wrapping property determination method of device and product shoes |
| CN110555033A (en) * | 2019-08-08 | 2019-12-10 | 加油传媒有限公司 | Shoe shape matching method and device |
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| WO2018000344A1 (en) * | 2016-06-30 | 2018-01-04 | 宋英楠 | Smart pushing method and device for shoes |
| CN107203930A (en) * | 2017-06-23 | 2017-09-26 | 温州职业技术学院 | A kind of business model and system of Sort Customization footwear |
| CN107203930B (en) * | 2017-06-23 | 2021-03-23 | 温州职业技术学院 | Method and system for classifying and customizing shoes |
| CN107704873A (en) * | 2017-09-27 | 2018-02-16 | 吴立俊 | A kind of footwear money adaption system and method based on foot type and fat and lean degree |
| CN108772992A (en) * | 2018-05-18 | 2018-11-09 | 东莞市兴茂橡塑科技有限公司 | The production method of foot mould, the wrapping property determination method of device and product shoes |
| CN110555033A (en) * | 2019-08-08 | 2019-12-10 | 加油传媒有限公司 | Shoe shape matching method and device |
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