CN103246810A - Closet device, closet system, and intelligent match recommending method for closet system based on internet of things - Google Patents
Closet device, closet system, and intelligent match recommending method for closet system based on internet of things Download PDFInfo
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Abstract
The invention discloses a closet device based on internet of things. The closet device comprises a communication module, a code reader module, a storage module, a calculation module and a power module. The communication module is used for providing an internet connection function. The code reader module is used for reading information on tags of clothes. The storage module is used for storing the information of the clothes read by the code reader module. The calculation module is used for finishing an intelligent match recommending function according to the information of the clothes stored by the storage module. The power module is used for supplying working power. The invention further discloses a closet system of the closet device based on the internet of things and an intelligent match recommending method for the closet system. The clothes, including upper garments, shoes, hats, scarves, neckties, shawls, belts, jewelries and other accessories, in the closet can be counted automatically by the closet device based on the internet of things. Remote access of the closet can be realized by the system of the closet device based on the internet of things, and the closet can be connected to a cloud server. By the aid of the intelligent match recommending method, when a user purchases clothes outside, the user can acquire purchase match recommending information from the closet and makes a purchase selecting decision; and before the user goes travel, the user can acquire travel match recommending information from the closet and selects clothes for traveling.
Description
Technical field
The invention belongs to Internet of Things Smart Home field, a kind of Internet of Things wardrobe device, system and intelligence collocation recommend method thereof particularly are provided.
Background technology
Smart Home based on Internet of Things makes domestic environment to be connected with the internet, along with popularizing of intelligent terminal such as smart mobile phone and panel computer, makes that intelligent terminal can be quickly and easily from these Smart Homes of remote access, control and management.The client-side technology of Internet of Things such as M2M, i.e. machine to machine communication can provide long distance wireless wide area linkage function, is a kind of common method of Smart Home networking.
Smart Home still is confined to the electrical equipment aspect at present, does not also use technology of Internet of things to provide the method for intelligentized Furniture to occur.
Wardrobe is to use furniture the most frequently in people's daily life, has placed a large amount of clothes, shoes and hats, scarf necktie, tippet waistband, suspension member ornaments etc. in the wardrobe, is the first place of " clothing, food, lodging and transportion--basic necessities of life ", is the main performance of modern society's quality of the life.Buy clothes and become a maximum spending of accounting example in the daily expenditure of people.Because the wardrobe lack of wisdomization at every turn in trip the time, has a hunch " few dress ", effect is undesirable also often having spent a lot of times aspect the collocation of clothes.Simultaneously, when purchasing clothes, purchased a large amount of repetitions because being unfamiliar with the situation that the existing clothing of wardrobe and existing clothing thereof can arrange in pairs or groups, can't arrange in pairs or groups or the clothes of arranging effect extreme difference, it is just idle always to buy back the back, has caused unnecessary waste.
Summary of the invention
The objective of the invention is to propose a kind of Internet of Things wardrobe device, system and intelligence collocation recommend method thereof, solve following 2 problems:
1) wardrobe is unknowable to the clothing of taking at present, thereby the user is when buying clothing, and is unknowable to the clothing that has had at present, or the unknowable defectives such as clothing to arranging in pairs or groups in the present wardrobe, and a kind of solution based on Internet of Things is provided;
2) user is when going out, and often because not knowing how to choose clothing suitable in the wardrobe or the plenty of time is wasted in collocation, this method provides a kind of collocation recommend method based on Internet of Things.
The present invention realizes that the technical scheme that above-mentioned purpose is taked is: a kind of Internet of Things wardrobe device is provided, comprises with lower module:
Communication module is used for providing network connecting function;
The code reader module is for the information that reads label on the clothing;
Memory module is used for the information of the clothing that storage code reader module reads;
Computing module is used for finishing intelligence collocation recommendation function according to the information of memory module clothing;
Power module is used for providing working power.
By technique scheme, described code reader module has camera function.
By technique scheme, label information comprise kind, brand, price, use season and weather, color, pattern, quality, purchase time, applicable situation.
By technique scheme, described clothing label is two-dimension code label or RFID label.
Use the Internet of Things wardrobe device of technique scheme, the present invention also provides a kind of Internet of Things wardrobe system, comprise intelligent terminal, Internet of Things wardrobe device and Cloud Server, described Internet of Things wardrobe device is the arbitrary described Internet of Things wardrobe device of technique scheme, wherein computing module is used for obtaining to finish in current season and Weather information and fashion information intelligence collocation recommendation function according to the information of memory module clothing with from Cloud Server;
Intelligent terminal is communicated by letter with the Internet of Things wardrobe device by the communication module of Internet of Things wardrobe device, and the Internet of Things wardrobe device obtains current season and Weather information and fashion information from Cloud Server.
The present invention also provides a kind of intelligence collocation recommend method for above-mentioned Internet of Things wardrobe system, may further comprise the steps:
1) computing module obtains communication module and receives current weather data W and current fashion information C from Cloud Server;
2) the Item Information P of computing module clothing from memory module acquisition Internet of Things wardrobe; P represents with polynary group, each element group representation is＜and sequence number, kind, brand, price, use season and weather, color, pattern, quality, purchase time, applicable situation 〉;
3) computing module is according to current season and weather data W and current fashion information C, searches " using season and weather " the akin kind with this Item Information in Item Information P, and the result is designated as S, carries out following operation:
3.1) number of statistics identical kind among the S, represent the kind number that has at present in the wardrobe under current season and the weather condition;
3.2) add up the number of each kind among the S respectively, represent total number of each kind that can arrange in pairs or groups at present in the wardrobe under current season and the weather condition, kind is expressed as Dt, its number is expressed as Nt, and t is subscript, identifies different kinds and the number of this kind, the result is expressed as D1[1 ..., N1], D2[1 ..., N2], D3[1 ..., N3], can be more, might as well only consider 3 kinds here;
3.3) recommend according to brand, choose the some of N1 D1 Dan Pinzhong respectively, some with N2 D2 Dan Pinzhong, some with N3 D3 Dan Pinzhong, the maintenance brand is similar and different; Provide matched combined＜D1[i], D2[j], D3[k];
3.4) according to price recommendation, choose the some of N1 D1 Dan Pinzhong respectively, some with N2 D2 Dan Pinzhong, some with N3 D3 Dan Pinzhong keeps price suitable in the price range of this Dan Pinzhong; Provide matched combined＜D1[i], D2[j], D3[k];
3.5) recommend according to color, choose the some of N1 D1 Dan Pinzhong respectively, some with N2 D2 Dan Pinzhong, some with N3 D3 Dan Pinzhong, the maintenance price is suitable at the colour system of the color of this Dan Pinzhong; Provide matched combined＜D1[i], D2[j], D3[k];
3.6) recommend according to pattern, choose the some of N1 D1 Dan Pinzhong respectively, some with N2 D2 Dan Pinzhong, some with N3 D3 Dan Pinzhong, the maintenance price is suitable at the pattern of this Dan Pinzhong; Provide matched combined＜D1[i], D2[j], D3[k];
3.7) recommend according to quality, choose the some of N1 D1 Dan Pinzhong respectively, some with N2 D2 Dan Pinzhong, some with N3 D3 Dan Pinzhong, the maintenance price is suitable in the quality of this Dan Pinzhong; Provide matched combined＜D1[i], D2[j], D3[k];
3.8) recommend according to buying the time, choose the some of N1 D1 Dan Pinzhong respectively, some with N2 D2 Dan Pinzhong, some with N3 D3 Dan Pinzhong, the maintenance price is suitable in the purchase time of this Dan Pinzhong; Provide matched combined＜D1[i], D2[j], D3[k];
3.9) recommend according to applicable situation, choose the some of N1 D1 Dan Pinzhong respectively, some with N2 D2 Dan Pinzhong, some with N3 D3 Dan Pinzhong, the maintenance price is suitable at the applicable situation of this Dan Pinzhong; Provide matched combined＜D1[i], D2[j], D3[k];
3.10) recommend according to trend, trend trend is divided according to brand, price, color, pattern, quality, purchase time, applicable situation, choose the some of N1 D1 Dan Pinzhong respectively, some with N2 D2 Dan Pinzhong, some with N3 D3 Dan Pinzhong keeps price suitable at the applicable situation of this Dan Pinzhong; Provide matched combined＜D1[i], D2[j], D3[k];
4) computing module sends to intelligent terminal with the result by communication module, finishes intelligence collocation recommendation function.
The present invention also provides a kind of teleshopping recommend method for above-mentioned Internet of Things wardrobe system, may further comprise the steps:
1) computing module obtains communication module and receives current fashion information C from Cloud Server;
2) Item Information bought in long-range transmission desire of intelligent terminal is to the communication module of wardrobe, and computing module obtains the information P that this desire is bought article from communication module; P is expressed as＜kind, brand, price, use season and weather, color, pattern, quality, purchase time, applicable situation;
3) computing module is according to use season and the Weather information of P, and current fashion information C, searches " using season and weather " the akin kind with P in the Item Information that existing wardrobe memory module is preserved, and the result is designated as S, carries out following operation:
3.1) number of statistics each kind different with P among the S, represent under same season and the weather condition in the wardrobe at present can with the single variety number of P collocation, kind is expressed as Dt, its number is expressed as Nt, and t is subscript, identifies different kinds and the number of this kind, for the sake of simplicity, the result might as well be expressed as D1[1 ... N1], D2[1 ... N2], D3[1 ..., N3];
3.2) recommend according to brand, choose the some of N1 D1 Dan Pinzhong respectively, some with N2 D2 Dan Pinzhong, some with N3 D3 Dan Pinzhong, the maintenance brand is similar and different; Provide matched combined＜D1[i], D2[j], D3[k];
3.3) according to price recommendation, choose the some of N1 D1 Dan Pinzhong respectively, some with N2 D2 Dan Pinzhong, some with N3 D3 Dan Pinzhong keeps price suitable in the price range of this Dan Pinzhong; Provide matched combined＜D1[i], D2[j], D3[k];
3.4) recommend according to color, choose the some of N1 D1 Dan Pinzhong respectively, some with N2 D2 Dan Pinzhong, some with N3 D3 Dan Pinzhong, the maintenance price is suitable at the colour system of the color of this Dan Pinzhong; Provide matched combined＜D1[i], D2[j], D3[k];
3.5) recommend according to pattern, choose the some of N1 D1 Dan Pinzhong respectively, some with N2 D2 Dan Pinzhong, some with N3 D3 Dan Pinzhong, the maintenance price is suitable at the pattern of this Dan Pinzhong; Provide matched combined＜D1[i], D2[j], D3[k];
3.6) recommend according to quality, choose the some of N1 D1 Dan Pinzhong respectively, some with N2 D2 Dan Pinzhong, some with N3 D3 Dan Pinzhong, the maintenance price is suitable in the quality of this Dan Pinzhong; Provide matched combined＜D1[i], D2[j], D3[k];
3.7) recommend according to buying the time, choose the some of N1 D1 Dan Pinzhong respectively, some with N2 D2 Dan Pinzhong, some with N3 D3 Dan Pinzhong, the maintenance price is suitable in the purchase time of this Dan Pinzhong; Provide matched combined＜D1[i], D2[j], D3[k];
3.8) recommend according to applicable situation, choose the some of N1 D1 Dan Pinzhong respectively, some with N2 D2 Dan Pinzhong, some with N3 D3 Dan Pinzhong, the maintenance price is suitable at the applicable situation of this Dan Pinzhong; Provide matched combined＜D1[i], D2[j], D3[k];
3.9) recommend according to trend, trend trend is divided according to brand, price, color, pattern, quality, purchase time, applicable situation, choose the some of N1 D1 Dan Pinzhong respectively, some with N2 D2 Dan Pinzhong, some with N3 D3 Dan Pinzhong keeps price suitable at the applicable situation of this Dan Pinzhong; Provide matched combined＜D1[i], D2[j], D3[k];
4) computing module sends to intelligent terminal with the result by communication module, finishes the teleshopping recommendation function.
A kind of Internet of Things wardrobe device of the present invention and intelligence collocation recommend method thereof have following effect:
1. Internet of Things wardrobe device of the present invention can realize adding up automatically the various clothings in the wardrobe, comprises clothes, shoes and hats, scarf necktie, tippet waistband, suspension member ornaments etc.;
2. Internet of Things wardrobe of the present invention system can realize the remote access of wardrobe, and the recommendation results of will doing shopping sends to remote intelligent terminal; When thereby the user buys clothing outside, can make efficiently and choose decision;
3. the inventive method can realize the intelligence collocation recommendation function of various clothing shoes and hats etc. and recommendation results is sent to intelligent terminal, thereby the user is when before travel selecting clothing, can make efficiently and choose decision.
Description of drawings
Fig. 1 is the Internet of Things wardrobe device structural representation of one embodiment of the invention;
Fig. 2 is the Internet of Things wardrobe device structural representation of one embodiment of the invention.
Embodiment
The invention will be further described below in conjunction with drawings and Examples.
As shown in Figure 1, the invention provides a kind of Internet of Things wardrobe device, comprise with lower module:
Communication module is used for providing network connecting function;
The code reader module is for the information that reads label on the clothing;
Memory module is used for the information of the clothing that storage code reader module reads;
Computing module is used for finishing intelligence collocation recommendation function according to the information of memory module clothing;
Power module is used for providing working power.
Wherein, the clothing label comprises: two-dimension code label or RFID label;
Communication module, this module provides network connecting function, is based on the wireless mobile wide-area communication link block of M2M technology, uses data communication technology.TD-SCDMA technology for example, this module is equipped with SIM card, is the network communication interface of Internet of Things wardrobe device, and its function comprises: communicate with remote intelligent terminal; Carry out short message interacting with remote intelligent terminal;
The code reader module, this module reads the label on the clothing; The code reader module has camera function, takes pictures when clothing is put into wardrobe first, can read two-dimension code label, two-dimension code can be resolved to concrete article implication, comprises kind, brand etc.This module also may be to read RFID label or bar code, for this type of sign indicating number, the concrete article implication that needs computing module and communication module that these yards are converted to;
Memory module, this module stores has the information of clothing; Major function comprises: preserve the implication of the label information read, comprise kind, brand, price, use season, color, pattern, quality, purchase time, applicable situation; When reading tag first, by the camera function of code reader these article are taken pictures simultaneously.
As shown in Figure 2, use above-mentioned Internet of Things wardrobe device, the present invention also provides a kind of Internet of Things wardrobe system, comprise intelligent terminal, Internet of Things wardrobe device and Cloud Server, described Internet of Things wardrobe device is above-mentioned Internet of Things wardrobe device, and wherein computing module is used for obtaining to finish in current season and Weather information and fashion information intelligence collocation recommendation function according to the information of memory module clothing with from Cloud Server;
Intelligent terminal is communicated by letter with the Internet of Things wardrobe device by the communication module of Internet of Things wardrobe device, and the Internet of Things wardrobe device obtains current season and Weather information and fashion information from Cloud Server.
The present invention also provides a kind of intelligence collocation recommend method for above-mentioned Internet of Things wardrobe system, may further comprise the steps:
1) computing module obtains communication module and receives current season and weather data W from Cloud Server, and for example " spring, fine day, 20 degree " and current fashion information C for example " mix and take, design of scattered small flowers and plants, popular colour colour of skin system ";
2) the Item Information P of computing module clothing from memory module acquisition Internet of Things wardrobe; P represents with polynary group, each element group representation is＜and sequence number, kind, brand, price, use season and weather, color, pattern, quality, purchase time, applicable situation 〉;
3) computing module is according to current season and weather data W and current fashion information C, searches " using season and weather " the akin kind with this Item Information in Item Information P, and the result is designated as S, carries out following operation:
3.1) number of statistics identical kind among the S, represent the kind number that has at present in the wardrobe under current season and the weather condition; For example: upper garment, trousers, footwear, cap, showing has 4 kinds can participate in collocation.
3.2) number of each kind among the statistics S, represent under current season and the weather condition in the wardrobe at present can with total number of each kind of P collocation, kind is expressed as Dt, its number is expressed as Nt, and t is subscript, identifies different kinds and the number of this kind, here be simple, might as well establish and have only 3 kinds can participate in collocation, so the result be expressed as D1[1,, N1], D2[1,, N2], D3[1,, N3]; For example: 4 on upper garment, 5 of trousers, 3 pairs in footwear are used array D1[1 respectively, 2,3,4], D2[1,2,3,4,5], D3[1,2,3] expression, D1[1 wherein, 2,3,4], D2[1,2,3,4,5], D3[1,2,3] each the first ancestral in is the complete information of commodity, comprise＜sequence number, kind, brand, price, use season and weather, color, pattern, quality, purchase time, applicable situation.
3.3) recommend according to brand, choose the some of N1 D1 Dan Pinzhong respectively, some with N2 D2 Dan Pinzhong, some with N3 D3 Dan Pinzhong, the maintenance brand is similar and different; Provide matched combined＜D1[i], D2[j], D3[k]; For example＜and D1[1], D2[3] and, D3[2].
3.4) according to price recommendation, choose the some of N1 D1 Dan Pinzhong respectively, some with N2 D2 Dan Pinzhong, some with N3 D3 Dan Pinzhong keeps price suitable in the price range of this Dan Pinzhong; Provide matched combined＜D1[i], D2[j], D3[k]; For example＜and D1[2], D2[2] and, D3[1].The back is similar.
3.5) recommend according to color, choose the some of N1 D1 Dan Pinzhong respectively, some with N2 D2 Dan Pinzhong, some with N3 D3 Dan Pinzhong, the maintenance price is suitable at the colour system of the color of this Dan Pinzhong; Provide matched combined＜D1[i], D2[j], D3[k];
3.6) recommend according to pattern, choose the some of N1 D1 Dan Pinzhong respectively, some with N2 D2 Dan Pinzhong, some with N3 D3 Dan Pinzhong, the maintenance price is suitable at the pattern of this Dan Pinzhong; Provide matched combined＜D1[i], D2[j], D3[k];
3.7) recommend according to quality, choose the some of N1 D1 Dan Pinzhong respectively, some with N2 D2 Dan Pinzhong, some with N3 D3 Dan Pinzhong, the maintenance price is suitable in the quality of this Dan Pinzhong; Provide matched combined＜D1[i], D2[j], D3[k];
3.8) recommend according to buying the time, choose the some of N1 D1 Dan Pinzhong respectively, some with N2 D2 Dan Pinzhong, some with N3 D3 Dan Pinzhong, the maintenance price is suitable in the purchase time of this Dan Pinzhong; Provide matched combined＜D1[i], D2[j], D3[k];
3.9) recommend according to applicable situation, choose the some of N1 D1 Dan Pinzhong respectively, some with N2 D2 Dan Pinzhong, some with N3 D3 Dan Pinzhong, the maintenance price is suitable at the applicable situation of this Dan Pinzhong; Provide matched combined＜D1[i], D2[j], D3[k];
3.10) recommend according to trend, trend trend is divided according to brand, price, color, pattern, quality, purchase time, applicable situation, choose the some of N1 D1 Dan Pinzhong respectively, some with N2 D2 Dan Pinzhong, some with N3 D3 Dan Pinzhong keeps price suitable at the applicable situation of this Dan Pinzhong; Provide matched combined＜D1[i], D2[j], D3[k];
4) computing module sends to intelligent terminal with the result by communication module, and as user's mobile phone, the user can see the result of recommendation by mobile phone, finishes intelligence collocation recommendation function.
The present invention also provides a kind of teleshopping recommend method for above-mentioned Internet of Things wardrobe system, may further comprise the steps:
1) computing module obtains communication module and receives current fashion information C from Cloud Server;
2) Item Information bought in long-range transmission desire of intelligent terminal is to the communication module of wardrobe, and computing module obtains the information P that this desire is bought article from communication module; P is expressed as＜kind, brand, price, use season and weather, color, pattern, quality, purchase time, applicable situation; For example, the article that user's desire is bought are upper garments, and namely P is＜upper garment, NIKE, 400, spring fine day, grey, crew neck long sleeves, cotton, 2013, motion occasion 〉.
3) computing module is according to use season and the Weather information of P, and current fashion information C, searches " using season and weather " the akin kind with P in the Item Information that existing wardrobe memory module is preserved, and the result is designated as S, carries out following operation:
3.1) number of statistics each kind different with P among the S, represent same season at present can with the single variety number of P collocation, kind is expressed as Dt, its number is expressed as Nt, and t is subscript, identifies different kinds and the number of this kind, for simply, the result might as well be expressed as D1[1 ... N1], D2[1 ... N2], D3[1 ..., N3]; For example: 4 of trousers, 6 in footwear, 3 on cap is expressed as D1[1 respectively ..., 4], D2[1 ..., 6], D3[1 ..., 3].
3.2) recommend according to brand, choose the some of N1 D1 Dan Pinzhong respectively, some with N2 D2 Dan Pinzhong, some with N3 D3 Dan Pinzhong, maintenance brand difference; Provide matched combined＜D1[i], D2[j], D3[k]; For example＜and D1[2], D2[2] and, D3[1].The back is similar.
3.3) according to price recommendation, choose the some of N1 D1 Dan Pinzhong respectively, some with N2 D2 Dan Pinzhong, some with N3 D3 Dan Pinzhong keeps price suitable in the price range of this Dan Pinzhong; Provide matched combined＜D1[i], D2[j], D3[k];
3.4) recommend according to color, choose the some of N1 D1 Dan Pinzhong respectively, some with N2 D2 Dan Pinzhong, some with N3 D3 Dan Pinzhong, the maintenance price is suitable at the colour system of the color of this Dan Pinzhong; Provide matched combined＜D1[i], D2[j], D3[k];
3.5) recommend according to pattern, choose the some of N1 D1 Dan Pinzhong respectively, some with N2 D2 Dan Pinzhong, some with N3 D3 Dan Pinzhong, the maintenance price is suitable at the pattern of this Dan Pinzhong; Provide matched combined＜D1[i], D2[j], D3[k];
3.6) recommend according to quality, choose the some of N1 D1 Dan Pinzhong respectively, some with N2 D2 Dan Pinzhong, some with N3 D3 Dan Pinzhong, the maintenance price is suitable in the quality of this Dan Pinzhong; Provide matched combined＜D1[i], D2[j], D3[k];
3.7) recommend according to buying the time, choose the some of N1 D1 Dan Pinzhong respectively, some with N2 D2 Dan Pinzhong, some with N3 D3 Dan Pinzhong, the maintenance price is suitable in the purchase time of this Dan Pinzhong; Provide matched combined＜D1[i], D2[j], D3[k];
3.8) recommend according to applicable situation, choose the some of N1 D1 Dan Pinzhong respectively, some with N2 D2 Dan Pinzhong, some with N3 D3 Dan Pinzhong, the maintenance price is suitable at the applicable situation of this Dan Pinzhong; Provide matched combined＜D1[i], D2[j], D3[k];
3.9) recommend according to trend, trend trend is divided according to brand, price, color, pattern, quality, purchase time, applicable situation, choose the some of N1 D1 Dan Pinzhong respectively, some with N2 D2 Dan Pinzhong, some with N3 D3 Dan Pinzhong keeps price suitable at the applicable situation of this Dan Pinzhong; Provide matched combined＜D1[i], D2[j], D3[k];
4) computing module sends to intelligent terminal with the result by communication module, finishes the teleshopping recommendation function.
Should be understood that, for those of ordinary skills, can be improved according to the above description or conversion, and all these improvement and conversion all should belong to the protection domain of claims of the present invention.
Claims (7)
1. Internet of Things wardrobe device is characterized in that: comprise with lower module:
Communication module is used for providing network connecting function;
The code reader module is for the information that reads label on the clothing;
Memory module is used for the information of the clothing that storage code reader module reads;
Computing module is used for finishing intelligence collocation recommendation function according to the information of memory module clothing;
Power module is used for providing working power.
2. Internet of Things wardrobe device according to claim 1, it is characterized in that: described code reader module has camera function.
3. Internet of Things wardrobe device according to claim 1 is characterized in that: label information comprise kind, brand, price, use season and weather, color, pattern, quality, purchase time, applicable situation.
4. Internet of Things wardrobe device according to claim 1, it is characterized in that: described clothing label comprises: two-dimension code label or RFID label.
5. an Internet of Things wardrobe system comprises intelligent terminal, and Internet of Things wardrobe device and Cloud Server is characterized in that:
Described Internet of Things wardrobe device is the arbitrary described Internet of Things wardrobe device of claim 1 to 4, wherein computing module is used for finishing intelligence collocation recommendation function according to the information of memory module clothing with from Cloud Server acquisition current weather information and fashion information;
Intelligent terminal is communicated by letter with the Internet of Things wardrobe device by the communication module of Internet of Things wardrobe device, and the Internet of Things wardrobe device obtains current weather information and fashion information from Cloud Server.
6. an intelligence collocation recommend method that is used for the described Internet of Things wardrobe of claim 5 system is characterized in that, may further comprise the steps:
1) computing module obtains communication module and receives current weather data W and current fashion information C from Cloud Server;
2) the Item Information P of computing module clothing from memory module acquisition Internet of Things wardrobe; P represents with polynary group, each element group representation is＜and sequence number, kind, brand, price, use season and weather, color, pattern, quality, purchase time, applicable situation 〉;
3) computing module is according to current season and weather data W and current fashion information C, searches " using season and weather " the akin kind with this Item Information in Item Information P, and the result is designated as S, carries out following operation:
3.1) number of statistics identical kind among the S, represent the kind number that has at present in the wardrobe under current season and the weather condition;
3.2) add up the number of each kind among the S respectively, represent total number of each kind that can arrange in pairs or groups at present in the wardrobe under current season and the weather condition, kind is expressed as Dt, its number is expressed as Nt, and t is subscript, identifies different kinds and the number of this kind, the result is expressed as D1[1 ..., N1], D2[1 ..., N2], D3[1 ..., N3], can be more, might as well only consider 3 kinds here;
3.3) recommend according to brand, choose the some of N1 D1 Dan Pinzhong respectively, some with N2 D2 Dan Pinzhong, some with N3 D3 Dan Pinzhong, the maintenance brand is similar and different; Provide matched combined＜D1[i], D2[j], D3[k];
3.4) according to price recommendation, choose the some of N1 D1 Dan Pinzhong respectively, some with N2 D2 Dan Pinzhong, some with N3 D3 Dan Pinzhong keeps price suitable in the price range of this Dan Pinzhong; Provide matched combined＜D1[i], D2[j], D3[k];
3.5) recommend according to color, choose the some of N1 D1 Dan Pinzhong respectively, some with N2 D2 Dan Pinzhong, some with N3 D3 Dan Pinzhong, the maintenance price is suitable at the colour system of the color of this Dan Pinzhong; Provide matched combined＜D1[i], D2[j], D3[k];
3.6) recommend according to pattern, choose the some of N1 D1 Dan Pinzhong respectively, some with N2 D2 Dan Pinzhong, some with N3 D3 Dan Pinzhong, the maintenance price is suitable at the pattern of this Dan Pinzhong; Provide matched combined＜D1[i], D2[j], D3[k];
3.7) recommend according to quality, choose the some of N1 D1 Dan Pinzhong respectively, some with N2 D2 Dan Pinzhong, some with N3 D3 Dan Pinzhong, the maintenance price is suitable in the quality of this Dan Pinzhong; Provide matched combined＜D1[i], D2[j], D3[k];
3.8) recommend according to buying the time, choose the some of N1 D1 Dan Pinzhong respectively, some with N2 D2 Dan Pinzhong, some with N3 D3 Dan Pinzhong, the maintenance price is suitable in the purchase time of this Dan Pinzhong; Provide matched combined＜D1[i], D2[j], D3[k];
3.9) recommend according to applicable situation, choose the some of N1 D1 Dan Pinzhong respectively, some with N2 D2 Dan Pinzhong, some with N3 D3 Dan Pinzhong, the maintenance price is suitable at the applicable situation of this Dan Pinzhong; Provide matched combined＜D1[i], D2[j], D3[k];
3.10) recommend according to trend, trend trend is divided according to brand, price, color, pattern, quality, purchase time, applicable situation, choose the some of N1 D1 Dan Pinzhong respectively, some with N2 D2 Dan Pinzhong, some with N3 D3 Dan Pinzhong keeps price suitable at the applicable situation of this Dan Pinzhong; Provide matched combined＜D1[i], D2[j], D3[k];
Computing module sends to intelligent terminal with the result by communication module, finishes intelligence collocation recommendation function.
7. a teleshopping recommend method that is used for the described Internet of Things wardrobe of claim 5 system is characterized in that, may further comprise the steps:
1) computing module obtains communication module and receives current fashion information C from Cloud Server;
2) Item Information bought in long-range transmission desire of intelligent terminal is to the communication module of wardrobe, and computing module obtains the information P that this desire is bought article from communication module; P is expressed as＜kind, brand, price, use season and weather, color, pattern, quality, purchase time, applicable situation;
3) computing module is according to use season and the Weather information of P, and current fashion information C, searches " using season and weather " the akin kind with P in the Item Information that existing wardrobe memory module is preserved, and the result is designated as S, carries out following operation:
3.1) number of statistics each kind different with P among the S, represent under same season and the weather condition in the wardrobe at present can with the single variety number of P collocation, kind is expressed as Dt, its number is expressed as Nt, and t is subscript, identifies different kinds and the number of this kind, for the sake of simplicity, the result might as well be expressed as D1[1 ... N1], D2[1 ... N2], D3[1 ..., N3];
3.2) recommend according to brand, choose the some of N1 D1 Dan Pinzhong respectively, some with N2 D2 Dan Pinzhong, some with N3 D3 Dan Pinzhong, the maintenance brand is similar and different; Provide matched combined＜D1[i], D2[j], D3[k];
3.3) according to price recommendation, choose the some of N1 D1 Dan Pinzhong respectively, some with N2 D2 Dan Pinzhong, some with N3 D3 Dan Pinzhong keeps price suitable in the price range of this Dan Pinzhong; Provide matched combined＜D1[i], D2[j], D3[k];
3.4) recommend according to color, choose the some of N1 D1 Dan Pinzhong respectively, some with N2 D2 Dan Pinzhong, some with N3 D3 Dan Pinzhong, the maintenance price is suitable at the colour system of the color of this Dan Pinzhong; Provide matched combined＜D1[i], D2[j], D3[k];
3.5) recommend according to pattern, choose the some of N1 D1 Dan Pinzhong respectively, some with N2 D2 Dan Pinzhong, some with N3 D3 Dan Pinzhong, the maintenance price is suitable at the pattern of this Dan Pinzhong; Provide matched combined＜D1[i], D2[j], D3[k];
3.6) recommend according to quality, choose the some of N1 D1 Dan Pinzhong respectively, some with N2 D2 Dan Pinzhong, some with N3 D3 Dan Pinzhong, the maintenance price is suitable in the quality of this Dan Pinzhong; Provide matched combined＜D1[i], D2[j], D3[k];
3.7) recommend according to buying the time, choose the some of N1 D1 Dan Pinzhong respectively, some with N2 D2 Dan Pinzhong, some with N3 D3 Dan Pinzhong, the maintenance price is suitable in the purchase time of this Dan Pinzhong; Provide matched combined＜D1[i], D2[j], D3[k];
3.8) recommend according to applicable situation, choose the some of N1 D1 Dan Pinzhong respectively, some with N2 D2 Dan Pinzhong, some with N3 D3 Dan Pinzhong, the maintenance price is suitable at the applicable situation of this Dan Pinzhong; Provide matched combined＜D1[i], D2[j], D3[k];
3.9) recommend according to trend, trend trend is divided according to brand, price, color, pattern, quality, purchase time, applicable situation, choose the some of N1 D1 Dan Pinzhong respectively, some with N2 D2 Dan Pinzhong, some with N3 D3 Dan Pinzhong keeps price suitable at the applicable situation of this Dan Pinzhong; Provide matched combined＜D1[i], D2[j], D3[k];
4) computing module sends to intelligent terminal with the result by communication module, finishes the teleshopping recommendation function.
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