CN112269919A - Wearing collocation recommendation system and method - Google Patents
Wearing collocation recommendation system and method Download PDFInfo
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Abstract
The invention discloses a wearing collocation recommendation system, which comprises an information input module, a matching module and a matching module, wherein the information input module is used for inputting clothes information of a user; the standard setting module is used for setting standard wearing collocation parameters; the model establishing module is used for establishing a dynamic wearing matching model according to the standard wearing matching parameters; the position acquisition module is used for acquiring and transmitting target position information; the real-time environment module is used for acquiring and sending real-time environment data of the area where the target position is located in real time according to the target position information; the data import module is used for importing the real-time environment data into the dynamic wearing collocation model; and the analysis recommending module is used for comparing the real-time environment data with the environment data in the corresponding standard wearing collocation parameters through the dynamic wearing collocation model to obtain and send wearing collocation recommending information. The invention also discloses a wearing collocation recommendation method. The invention can recommend corresponding wearing collocation according to the actual requirements of the user aiming at different weather data.
Description
Technical Field
The invention relates to the technical field of intelligent recommendation, in particular to a wearing collocation recommendation system and a wearing collocation recommendation method.
Background
With continuous progress of science and technology, intelligent life is more and more popularized, at present, when a user leaves a house, clothes matching is an important link, at present, the user can search the clothes matching by using related search software before leaving the house, clothes matching is selected according to the clothes matching, however, the searched clothes matching may occur in the existing clothes matching searching method, the user does not have corresponding clothes, user experience is poor, the existing clothes matching recommendation system cannot adjust clothes matching recommendation according to different weather data, and applicability is not high.
Disclosure of Invention
In order to overcome the above problems or at least partially solve the above problems, embodiments of the present invention provide a system and a method for recommending wearing arrangement, which can recommend corresponding wearing arrangements for different weather data according to the actual standard arrangement requirements of users, and have high applicability and good user experience.
The embodiment of the invention is realized by the following steps:
in a first aspect, an embodiment of the present invention provides a wearing collocation recommendation system, including an information entry module, a standard setting module, a model building module, a location obtaining module, a real-time environment module, a data import module, and an analysis recommendation module, where:
the information input module is used for inputting clothes information of a user;
the standard setting module is used for setting standard wearing collocation parameters according to the clothes and clothing information of the user;
the model establishing module is used for establishing a dynamic wearing matching model according to the standard wearing matching parameters;
the position acquisition module is used for acquiring and transmitting target position information;
the real-time environment module is used for acquiring and sending real-time environment data of the area where the target position is located in real time according to the target position information;
the data import module is used for importing the real-time environment data into the dynamic wearing collocation model;
and the analysis recommending module is used for comparing the real-time environment data with the environment data in the corresponding standard wearing collocation parameters through the dynamic wearing collocation model to obtain and send wearing collocation recommending information.
When the wearing matching is recommended for the user, firstly, the clothing information of the user is input through the information input module, so that the proper clothing matching is recommended for the user according to the existing clothing of different users; after the clothes and clothing information of the user is input, standard wearing matching parameters are set according to the clothes and clothing information of the user through a standard setting module, wearing matching information is generated preliminarily, and then a dynamic wearing matching model is established according to the standard wearing matching parameters, wherein the dynamic wearing matching model refers to that real-time environment data and environment data in the standard wearing matching parameters are compared one by one, so that a proper data model recommended by wearing matching is matched; after the model is established, acquiring target position information of a user through a position acquisition module, then sending the acquired target position information of the user to a real-time environment module, and acquiring real-time environment data of an area where the target position is located in real time according to the target position information through the real-time environment module, wherein the real-time environment data comprises weather type data of sunny days, rainy days, cloudy days and the like, and also comprises environment humidity data, temperature data and wind power level data; the method comprises the steps of sending collected real-time environment data to a data import module, importing the real-time environment data into a dynamic wearing collocation model through the data import module, analyzing the real-time environment data through an analysis recommendation module by adopting the dynamic wearing collocation model, comparing the real-time environment data with environment data in standard wearing collocation parameters one by one, matching proper wearing collocation, and generating and sending wearing collocation recommendation information to a user.
The system can dynamically recommend reasonable wearing matching in real time according to different environmental data aiming at clothes actually owned by different users, is suitable for different groups of users, and has good user experience.
Based on the first aspect, in some embodiments of the present invention, the standard setting module includes a temperature submodule, a humidity submodule, a weather type submodule and a wind power submodule, wherein:
the temperature submodule is used for setting corresponding wearing matching clothes in different temperature ranges so as to obtain a first standard wearing matching parameter;
the humidity submodule is used for setting the wearing matching clothes corresponding to different environment humidity range values to obtain a second standard wearing matching parameter;
the weather type submodule is used for setting wearing matching clothes corresponding to different weather types so as to obtain a third standard wearing matching parameter;
and the wind power submodule is used for setting the wearing matching clothes corresponding to different wind power levels so as to obtain a fourth standard wearing matching parameter.
Based on the first aspect, in some embodiments of the invention, the real-time environmental data includes real-time air temperature data, real-time environmental humidity data, real-time weather type data, and real-time wind data.
Based on the first aspect, in some embodiments of the present invention, the analysis recommendation module includes an air temperature comparison sub-module, a humidity comparison sub-module, a type comparison sub-module, a wind power comparison sub-module, and a collocation sub-module, wherein:
the temperature comparison submodule is used for comparing the real-time temperature data with the first standard wearing collocation parameter through the dynamic wearing collocation model, and generating and sending a first comparison result;
the humidity comparison submodule is used for comparing the real-time environment humidity data with a second standard wearing collocation parameter through a dynamic wearing collocation model, and generating and sending a second comparison result;
the type comparison submodule is used for comparing the real-time weather type data with a third standard wearing collocation parameter through a dynamic wearing collocation model, and generating and sending a third comparison result;
the wind power comparison submodule is used for comparing the real-time wind power data with a fourth standard wearing collocation parameter through the dynamic wearing collocation model, and generating and sending a fourth comparison result;
and the matching sub-module is used for generating and sending the wearing matching recommendation information according to the first comparison result, the second comparison result, the third comparison result and the fourth comparison result.
Based on the first aspect, in some embodiments of the present invention, the wear collocation recommendation system further includes an arrangement acquisition module and an object marking module, wherein:
the arrangement acquisition module is used for acquiring and sending user travel arrangement information;
and the target marking module is used for extracting the initial position information and the end position information in the user trip arrangement information, marking the initial position information as first target position information and marking the end position information as second target position information.
In a second aspect, an embodiment of the present invention provides a wearing collocation recommending method, including the following steps:
inputting clothes information of a user;
setting standard wearing collocation parameters according to the clothes and apparel information of a user;
establishing a dynamic wearing collocation model according to the standard wearing collocation parameters;
acquiring and sending target position information;
acquiring and transmitting real-time environment data of the area where the target position is located in real time according to the target position information;
importing real-time environment data into a dynamic wearing collocation model;
and comparing the real-time environment data with the environment data in the corresponding standard wearing collocation parameters through the dynamic wearing collocation model to obtain and send wearing collocation recommendation information.
When the wearing matching is recommended for the user, firstly, the clothing information of the user is input, so that the user can recommend proper clothing matching according to the existing clothing of different users; after the clothes and clothing information of the user is input, setting standard wearing matching parameters according to the clothes and clothing information of the user, preliminarily generating wearing matching information, and then establishing a dynamic wearing matching model according to the standard wearing matching parameters, wherein the dynamic wearing matching model refers to comparing real-time environment data with environment data in the standard wearing matching parameters one by one so as to match a data model recommended by proper wearing matching; after the model is established, acquiring and sending target position information of a user, and acquiring real-time environment data of an area where the target position is located in real time according to the target position information, wherein the real-time environment data comprises weather type data such as sunny days, rainy days, cloudy days and the like, and also comprises environment humidity data, temperature data and wind power level data; and importing the real-time environment data into a dynamic wearing collocation model, analyzing the real-time environment data through the dynamic wearing collocation model, comparing the real-time environment data with the environment data in the standard wearing collocation parameters one by one, matching a proper wearing collocation, and generating and sending wearing collocation recommendation information to a user.
The method can dynamically recommend reasonable wearing matching in real time according to different environmental data aiming at clothes actually owned by different users, is suitable for different groups of users, and has good user experience.
Based on the second aspect, in some embodiments of the invention, the method for setting the standard wearing collocation parameter includes the following steps:
setting different temperature ranges to correspond to the wearing matching clothes so as to obtain a first standard wearing matching parameter;
setting the wearing matching clothes corresponding to different environmental humidity range values to obtain second standard wearing matching parameters;
setting wearing matching clothes corresponding to different weather types to obtain a third standard wearing matching parameter;
and setting the wearing matching clothes corresponding to different wind power levels to obtain the fourth standard wearing matching parameters.
Based on the second aspect, in some embodiments of the invention, the real-time environmental data includes real-time air temperature data, real-time environmental humidity data, real-time weather type data, and real-time wind data.
Based on the second aspect, in some embodiments of the invention, the method for comparing the real-time environment data with the environment data in the corresponding standard wearing collocation parameters by the dynamic wearing collocation model to obtain and send the wearing collocation recommendation information includes the following steps:
comparing the real-time temperature data with a first standard wearing collocation parameter through a dynamic wearing collocation model to generate and send a first comparison result;
comparing the real-time environment humidity data with a second standard wearing collocation parameter through a dynamic wearing collocation model to generate and send a second comparison result;
comparing the real-time weather type data with a third standard wearing collocation parameter through a dynamic wearing collocation model, and generating and sending a third comparison result;
comparing the real-time wind power data with a fourth standard wearing collocation parameter through a dynamic wearing collocation model to generate and send a fourth comparison result;
and generating and sending the wearing collocation recommendation information according to the first comparison result, the second comparison result, the third comparison result and the fourth comparison result.
Based on the second aspect, in some embodiments of the present invention, the wearing collocation recommendation method further includes the following steps:
acquiring and sending user travel arrangement information;
and extracting starting position information and end position information in the user trip arrangement information, marking the starting position information as first target position information, and marking the end position information as second target position information.
The embodiment of the invention at least has the following advantages or beneficial effects:
the embodiment of the invention provides a wearing collocation recommendation system, which inputs clothes information of a user through an information input module so as to recommend proper wearing collocation for the user according to the existing clothes of different users; after the clothes and clothing information of the user is input, standard wearing matching parameters are set according to the clothes and clothing information of the user through a standard setting module, wearing matching information is generated preliminarily, and then a dynamic wearing matching model is established according to the standard wearing matching parameters; after the model is established, acquiring target position information of a user through a position acquisition module, then sending the acquired target position information of the user to a real-time environment module, and acquiring real-time environment data of an area where the target position is located in real time through the real-time environment module according to the target position information; the method comprises the steps of sending collected real-time environment data to a data import module, importing the real-time environment data into a dynamic wearing collocation model through the data import module, analyzing the real-time environment data through an analysis recommendation module by adopting the dynamic wearing collocation model, comparing the real-time environment data with environment data in standard wearing collocation parameters one by one, matching proper wearing collocation, and generating and sending wearing collocation recommendation information to a user. The system can dynamically recommend reasonable wearing matching in real time according to different environmental data aiming at clothes actually owned by different users, is suitable for different groups of users, and has good user experience.
The embodiment of the invention also provides a wearing collocation recommendation method, which is used for inputting the clothes and clothing information of the user so as to recommend proper clothes matching for the user according to the existing clothes and clothing of different users; after the clothes and clothing information of the user is input, setting standard wearing matching parameters according to the clothes and clothing information of the user, preliminarily generating wearing matching information, and then establishing a dynamic wearing matching model according to the standard wearing matching parameters; after the model is built, acquiring and sending target position information of a user, and acquiring real-time environment data of an area where the target position is located in real time according to the target position information; and importing the real-time environment data into a dynamic wearing collocation model, analyzing the real-time environment data through the dynamic wearing collocation model, comparing the real-time environment data with the environment data in the standard wearing collocation parameters one by one, matching a proper wearing collocation, and generating and sending wearing collocation recommendation information to a user. The method can dynamically recommend reasonable wearing matching in real time according to different environmental data aiming at clothes actually owned by different users, is suitable for different groups of users, and has good user experience.
Drawings
In order to more clearly illustrate the technical solutions of the embodiments of the present invention, the drawings needed to be used in the embodiments will be briefly described below, it should be understood that the following drawings only illustrate some embodiments of the present invention and therefore should not be considered as limiting the scope, and for those skilled in the art, other related drawings can be obtained according to the drawings without inventive efforts.
FIG. 1 is a schematic block diagram of a wearing collocation recommendation system according to an embodiment of the present invention;
FIG. 2 is a flowchart illustrating a wearing collocation recommendation method according to an embodiment of the present invention;
fig. 3 is a flowchart of a wearing collocation recommendation method according to another embodiment of the invention.
Icon: 100. an information input module; 200. a standard setting module; 210. a temperature sub-module; 220. a humidity submodule; 230. a weather type sub-module; 240. a wind power submodule; 300. a model building module; 400. a position acquisition module; 500. a real-time environment module; 600. a data import module; 700. an analysis recommendation module; 710. an air temperature comparison submodule; 720. a humidity comparison submodule; 730. a type comparison submodule; 740. a wind power comparison submodule; 750. matching the sub-modules; 800. arranging an acquisition module; 900. and an object marking module.
Detailed Description
In order to make the objects, technical solutions and advantages of the embodiments of the present invention clearer, the technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are some, but not all, embodiments of the present invention. The components of embodiments of the present invention generally described and illustrated in the figures herein may be arranged and designed in a wide variety of different configurations.
Thus, the following detailed description of the embodiments of the present invention, presented in the figures, is not intended to limit the scope of the invention, as claimed, but is merely representative of selected embodiments of 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.
It should be noted that: like reference numbers and letters refer to like items in the following figures, and thus, once an item is defined in one figure, it need not be further defined and explained in subsequent figures.
It is noted that, herein, relational terms such as first and second, and the like may be used solely to distinguish one entity or action from another entity or action without necessarily requiring or implying any actual such relationship or order between such entities or actions. Also, the terms "comprises," "comprising," or any other variation thereof, are intended to cover a non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements does not include only those elements but may include other elements not expressly listed or inherent to such process, method, article, or apparatus. Without further limitation, an element defined by the phrase "comprising an … …" does not exclude the presence of other like elements in a process, method, article, or apparatus that comprises the same element.
In the description of the embodiments of the present invention, it should be noted that the terms "first", "second", "third", and the like are used for distinguishing between descriptions and not for indicating or implying relative importance.
Examples
As shown in fig. 1, in a first aspect, an embodiment of the present invention provides a wearing collocation recommendation system, including a standard setting module 200, a model building module 300, a location obtaining module 400, a real-time environment module 500, a data importing module 600, and an analysis recommendation module 700, where:
the information input module 100 is used for inputting clothes information of a user;
a standard setting module 200, configured to set standard wearing collocation parameters according to the clothing information of the user;
a model establishing module 300 for establishing a dynamic wearing collocation model according to the standard wearing collocation parameters;
a position acquisition module 400, configured to acquire and transmit target position information;
the real-time environment module 500 is used for acquiring and transmitting real-time environment data of the area where the target position is located in real time according to the target position information;
a data import module 600, configured to import real-time environment data into the dynamic wearing collocation model;
the analysis recommending module 700 is configured to compare the real-time environment data with the environment data in the corresponding standard wearing collocation parameters through the dynamic wearing collocation model to obtain and send wearing collocation recommending information.
When the wearing matching is recommended for the user, firstly, the clothing information of the user is input through the information input module 100, so that the user can be recommended to match the clothing properly according to the existing clothing of different users; after the clothes and clothing information of the user is input, standard wearing collocation parameters are set according to the clothes and clothing information of the user through the standard setting module 200, wearing collocation information is generated preliminarily, and then a dynamic wearing collocation model is established according to the standard wearing collocation parameters, wherein the dynamic wearing collocation model refers to comparing real-time environment data with environment data in the standard wearing collocation parameters one by one so as to match a data model recommended by proper wearing collocation; after the model is built, acquiring target position information of a user through the position acquisition module 400, then sending the acquired target position information of the user to the real-time environment module 500, and acquiring real-time environment data of an area where the target position is located in real time through the real-time environment module 500 according to the target position information, wherein the real-time environment data comprises real-time air temperature data, real-time environment humidity data, real-time weather type data and real-time wind power data; the real-time weather type data comprises weather type data of sunny days, rainy days, cloudy days and the like; the collected real-time environment data is sent to the data import module 600, then the real-time environment data is imported into the dynamic wearing collocation model through the data import module 600, the real-time environment data is analyzed through the analysis recommendation module 700 by adopting the dynamic wearing collocation model, the analysis method refers to comparing the real-time environment data with the environment data in the standard wearing collocation parameters one by one, and then the proper wearing collocation is matched, and further the wearing collocation recommendation information is generated and sent to the user.
The system can dynamically recommend reasonable wearing matching in real time according to different environmental data aiming at clothes actually owned by different users, is suitable for different groups of users, and has good user experience.
Based on the first aspect, as shown in fig. 1, in some embodiments of the present invention, the standard setting module 200 includes a temperature sub-module 210, a humidity sub-module 220, a weather type sub-module 230, and a wind sub-module 240, wherein:
the temperature submodule 210 is used for setting corresponding wearing matching clothes in different temperature ranges to obtain a first standard wearing matching parameter;
the humidity submodule 220 is used for setting the wearing matching clothes corresponding to different environmental humidity range values to obtain a second standard wearing matching parameter;
a weather type sub-module 230, configured to set wearing and matching clothes corresponding to different weather types to obtain a third standard wearing and matching parameter;
and the wind power sub-module 240 is used for setting the wearing matching clothes corresponding to different wind power levels to obtain a fourth standard wearing matching parameter.
When setting standard wearing collocation parameters, wearing collocation information corresponding to a plurality of environmental data such as temperature, humidity, wind power, sunny days, rainy days and the like is mainly set. Setting corresponding wearing collocation clothes in different temperature ranges through a temperature submodule 210 to obtain a first standard wearing collocation parameter, wherein the first standard wearing collocation parameter comprises weather temperature data and wearing collocation data corresponding to the weather temperature data, such as the temperature is-40 ℃ to-56 ℃, the corresponding wearing collocation is that the middle-size lattice velvet underwear, the warm-keeping fleece suit, the breathable waterproof soft shell underwear and the heavy-duty warm-keeping polar cold-proof cotton suit are correspondingly worn in a collocation manner, the temperature is-17 ℃ to-40 ℃, the corresponding wearing collocation is that the middle-size lattice velvet underwear, the warm-keeping fleece suit and the breathable waterproof soft shell underwear are correspondingly worn in a collocation manner, the temperature is 0 ℃ to-17 ℃, the corresponding wearing collocation is that the light-weight legged underwear, the warm-keeping fleece underwear, the breathable waterproof soft shell underwear and the breathable soft shell underwear are correspondingly worn in a collocation manner, the temperature is 7 ℃ to 0 ℃, the corresponding wearing collocation is that the light-weight legged underwear, the warm-keeping fleece underwear, the breathable waterproof soft shell underwear and the breathable soft, the temperature is 7-24 ℃, the corresponding wearing collocation is light-weight bottoming underwear and breathable waterproof soft shell underwear, the temperature is 40-24 ℃, and the corresponding wearing collocation is light-weight bottoming underwear and nylon fabric windproof clothes. The wearing matching clothes corresponding to different environmental humidity range values are set through the humidity submodule 220 to obtain a second standard wearing matching parameter; the wearing matching clothes corresponding to different weather types are set through the weather type submodule 230 to obtain a third standard wearing matching parameter, wherein the weather types comprise sunny days, rainy days, cloudy days and the like; the wearing matching clothes corresponding to different wind power levels are set through the wind power sub-module 240, so that the fourth standard wearing matching parameter is obtained.
Based on the first aspect, as shown in fig. 1, in some embodiments of the present invention, the analysis recommendation module 700 includes an air temperature comparison sub-module 710, a humidity comparison sub-module 720, a type comparison sub-module 730, a wind power comparison sub-module 740, and a collocation sub-module 750, wherein:
the temperature comparison submodule 710 is used for comparing the real-time temperature data with the first standard wearing collocation parameter through the dynamic wearing collocation model, and generating and sending a first comparison result;
the humidity comparison submodule 720 is used for comparing the real-time environment humidity data with the second standard wearing collocation parameter through the dynamic wearing collocation model, and generating and sending a second comparison result;
the type comparison submodule 730 is used for comparing the real-time weather type data with a third standard wearing collocation parameter through a dynamic wearing collocation model, and generating and sending a third comparison result;
the wind power comparison submodule 740 is used for comparing the real-time wind power data with a fourth standard wearing collocation parameter through the dynamic wearing collocation model, and generating and sending a fourth comparison result;
and the matching sub-module 750 is configured to generate and send wearing matching recommendation information according to the first comparison result, the second comparison result, the third comparison result and the fourth comparison result.
When the environmental data are analyzed and compared, the environmental data are respectively compared one by one aiming at different environmental data, the real-time temperature data and the temperature data in the first standard wearing collocation parameter are compared and matched by the temperature comparison submodule 710 by adopting a dynamic wearing collocation model, and a first comparison result aiming at the temperature data is generated and sent; comparing the real-time environment humidity data with humidity data in a second standard wearing collocation parameter by adopting a dynamic wearing collocation model through a humidity comparison submodule 720, and generating and sending a second comparison result aiming at the humidity data; comparing and matching the real-time weather type data with weather type data in a third standard wearing collocation parameter by a type comparison submodule 730 through a dynamic wearing collocation model, and generating and sending a third comparison result aiming at the weather type; the real-time wind power data and the wind power data in the fourth standard wearing collocation parameter are compared and matched by the wind power comparison submodule 740 by adopting a dynamic wearing collocation model, and a fourth comparison result aiming at the wind power is generated and sent; then, the first comparison result, the second comparison result, the third comparison result and the fourth comparison result are integrated by the matching sub-module 750 to obtain an integrated report, the integrated report arranges the plurality of comparison results, selects matching information with the highest matching frequency according to the matching frequency of wearing matching, and then generates and sends wearing matching recommendation information according to the matching information to recommend the most reasonable wearing matching for the user.
Based on the first aspect, as shown in fig. 1, in some embodiments of the present invention, the wear collocation recommendation system further includes an arrangement acquisition module 800 and an object marking module 900, wherein:
a schedule acquiring module 800, configured to acquire and send user travel schedule information;
the target marking module 900 is configured to extract start position information and end position information in the user travel arrangement information, mark the start position information as first target position information, and mark the end position information as second target position information.
In order to better satisfy the travel demand of the user, when the user sends travel schedule information, the travel schedule information of the user is obtained by the schedule obtaining module 800, and the travel schedule information includes start position information and end position information, and then the travel schedule information of the user is sent to the target marking module 900; after receiving the trip arrangement information of the user, the target marking module 900 extracts start position information and end position information in the trip arrangement information of the user, marks the start position information as first target position information, marks the end position information as second target position information, then sends the first target position information and the second target position information to the real-time environment module 500, collects real-time environment information of a region where the first target position is located and real-time environment information of a region where the second target position is located through the real-time environment module 500, imports the real-time environment information of the region where the first target position is located and the real-time environment information of the region where the second target position is located into the dynamic wearing collocation model through the data import module 600, then compares the real-time environment data of the first target position with the environment data in the corresponding standard wearing collocation parameters through the dynamic wearing collocation model, to obtain and send a first wearing collocation recommendation message; and comparing the real-time environment data of the second target position with the environment data in the corresponding standard wearing collocation parameters through the dynamic wearing collocation model to obtain and send second wearing collocation recommendation information. And the adaptive wearing collocation is recommended according to the travel demand, so that the user demand is met, and the user experience is improved.
In a second aspect, as shown in fig. 2, an embodiment of the invention provides a wearing collocation recommending method, including the following steps:
s1, inputting clothes information of a user;
s2, setting standard wearing collocation parameters according to the clothing information of the user;
s3, establishing a dynamic wearing collocation model according to the standard wearing collocation parameters;
s4, acquiring and sending target position information;
s5, acquiring and sending real-time environment data of the area where the target position is located in real time according to the target position information;
s6, importing the real-time environment data into a dynamic wearing collocation model;
s7, analyzing the real-time environment data through the dynamic wearing matching model, and generating and sending wearing matching recommendation information; the analysis method is to compare real-time environment data with environment data in corresponding standard wearing collocation parameters through a dynamic wearing collocation model to obtain and send wearing collocation recommendation information.
When the wearing matching is recommended for the user, firstly, the clothing information of the user is input, so that the user can recommend proper clothing matching according to the existing clothing of different users; after the clothes and clothing information of the user is input, setting standard wearing matching parameters according to the clothes and clothing information of the user, preliminarily generating wearing matching information, and then establishing a dynamic wearing matching model according to the standard wearing matching parameters, wherein the dynamic wearing matching model refers to comparing real-time environment data with environment data in the standard wearing matching parameters one by one so as to match a data model recommended by proper wearing matching; after the model is built, acquiring and sending target position information of a user, and acquiring real-time environment data of a region where the target position is located in real time according to the target position information, wherein the real-time environment data comprises real-time air temperature data, real-time environment humidity data, real-time weather type data and real-time wind power data; the real-time weather type data comprises weather type data of sunny days, rainy days, cloudy days and the like; the real-time environment data are led into the dynamic wearing matching model, and are analyzed through the dynamic wearing matching model, the analysis method refers to that the real-time environment data are compared with the environment data in the standard wearing matching parameters one by one, so that proper wearing matching is matched, and then wearing matching recommendation information is generated and sent to a user.
The method can dynamically recommend reasonable wearing matching in real time according to different environmental data aiming at clothes actually owned by different users, is suitable for different groups of users, and has good user experience.
Based on the second aspect, in some embodiments of the invention, the method for setting the standard wearing collocation parameter includes the following steps:
setting different temperature ranges to correspond to the wearing matching clothes so as to obtain a first standard wearing matching parameter;
setting the wearing matching clothes corresponding to different environmental humidity range values to obtain second standard wearing matching parameters;
setting wearing matching clothes corresponding to different weather types to obtain a third standard wearing matching parameter;
and setting the wearing matching clothes corresponding to different wind power levels to obtain the fourth standard wearing matching parameters.
When setting standard wearing collocation parameters, wearing collocation information corresponding to a plurality of environmental data such as temperature, humidity, wind power, sunny days, rainy days and the like is mainly set. Setting corresponding wearing collocation clothes in different temperature ranges to obtain a first standard wearing collocation parameter, wherein the first standard wearing collocation parameter comprises weather temperature data and wearing collocation data corresponding to the weather temperature data, such as the temperature is-40 ℃ to-56 ℃, the corresponding wearing collocation is that the middle-size lattice velvet underwear, the warm-keeping fleece suit, the breathable waterproof soft shell underwear and the heavy-duty warm-keeping polar cold-proof cotton suit, the temperature is-17 ℃ to-40 ℃, the corresponding wearing collocation is that the middle-size lattice velvet underwear, the warm-keeping fleece suit, the breathable waterproof soft shell underwear and the breathable waterproof soft shell trousers, the temperature is 0 ℃ to-17 ℃, the corresponding wearing collocation is that the light-weight bottoming underwear, the warm-keeping fleece suit, the breathable soft shell underwear and the breathable waterproof soft shell trousers, the temperature is 7 ℃ to 0 ℃, the corresponding wearing collocation is that the light-weight bottoming underwear, the warm-keeping fleece underwear, the breathable soft shell trousers or the GORE-TEX fabric hard shell trousers, the temperature is 7-24 ℃, the corresponding wearing collocation is light-weight bottoming underwear and breathable waterproof soft shell underwear, the temperature is 40-24 ℃, and the corresponding wearing collocation is light-weight bottoming underwear and nylon fabric windproof clothes. Setting the wearing matching clothes corresponding to different environmental humidity range values to obtain second standard wearing matching parameters; setting wearing matching clothes corresponding to different weather types to obtain a third standard wearing matching parameter, wherein the weather types comprise sunny days, rainy days, cloudy days and the like, and the wearing matching clothes corresponding to sunny days are clothes of a sun-proof clothes type, the wearing matching clothes corresponding to rainy days are waterproof clothes and the like; and setting the wearing matching clothes corresponding to different wind power levels to obtain the fourth standard wearing matching parameters. Different wearing arrangements are recommended according to different environment data, and the practicability is high.
Based on the second aspect, in some embodiments of the invention, the method for comparing the real-time environment data with the environment data in the corresponding standard wearing collocation parameters by the dynamic wearing collocation model to obtain and send the wearing collocation recommendation information includes the following steps:
comparing the real-time temperature data with a first standard wearing collocation parameter through a dynamic wearing collocation model to generate and send a first comparison result;
comparing the real-time environment humidity data with a second standard wearing collocation parameter through a dynamic wearing collocation model to generate and send a second comparison result;
comparing the real-time weather type data with a third standard wearing collocation parameter through a dynamic wearing collocation model, and generating and sending a third comparison result;
comparing the real-time wind power data with a fourth standard wearing collocation parameter through a dynamic wearing collocation model to generate and send a fourth comparison result;
and generating and sending the wearing collocation recommendation information according to the first comparison result, the second comparison result, the third comparison result and the fourth comparison result.
When the environment data are analyzed and compared, the environment data are compared one by one respectively aiming at different environment data, the real-time temperature data and the temperature data in the first standard wearing matching parameter are compared and matched through the dynamic wearing matching model, and a first comparison result aiming at the temperature data is generated and sent; comparing the real-time environment humidity data with humidity data in a second standard wearing collocation parameter through a dynamic wearing collocation model, and generating and sending a second comparison result aiming at the humidity data; comparing and matching the real-time weather type data with weather type data in a third standard wearing matching parameter through a dynamic wearing matching model, and generating and sending a third comparison result aiming at the weather type; comparing and matching the real-time wind power data with the wind power data in the fourth standard wearing collocation parameters through the dynamic wearing collocation model, and generating and sending a fourth comparison result aiming at wind power; and then, integrating the first comparison result, the second comparison result, the third comparison result and the fourth comparison result to obtain an integrated report, arranging a plurality of comparison results in the integrated report, selecting collocation information with the highest collocation frequency according to the collocation frequency of the wearing collocation, and then generating and sending wearing collocation recommendation information according to the collocation information to recommend the most reasonable wearing collocation for the user.
Based on the second aspect, as shown in fig. 3, in some embodiments of the present invention, the wearing collocation recommendation method further includes the following steps:
s7, obtaining and sending user travel arrangement information;
and S8, extracting the starting position information and the end position information in the user travel arrangement information, marking the starting position information as first target position information, and marking the end position information as second target position information.
In order to better meet the travel demand of a user, when the user sends travel arrangement information, the travel arrangement information of the user is obtained and sent, and the travel arrangement information comprises starting position information and end position information; after travel arrangement information of a user is received, extracting initial position information and end position information in the travel arrangement information of the user, marking the initial position information as first target position information, marking the end position information as second target position information, then collecting real-time environment information of a region where the first target position is located and real-time environment information of a region where the second target position is located, importing the real-time environment information of the region where the first target position is located and the real-time environment information of the region where the second target position is located into a dynamic wearing collocation model, and then comparing the real-time environment data of the first target position with environment data in corresponding standard wearing collocation parameters through the dynamic wearing collocation model to obtain and send first wearing collocation recommendation information; and comparing the real-time environment data of the second target position with the environment data in the corresponding standard wearing collocation parameters through the dynamic wearing collocation model to obtain and send second wearing collocation recommendation information. And the adaptive wearing collocation is recommended according to the travel demand, so that the user demand is met, and the user experience is improved.
In summary, embodiments of the present invention provide a wearing collocation recommendation system and method, when recommending wearing collocation for a user, firstly, the information input module 100 inputs clothing information of the user, so as to recommend a proper clothing collocation for the user according to the existing clothing of different users; after the clothes and clothing information of the user is input, standard wearing collocation parameters are set according to the clothes and clothing information of the user through the standard setting module 200, wearing collocation information is generated preliminarily, and then a dynamic wearing collocation model is established according to the standard wearing collocation parameters, wherein the dynamic wearing collocation model refers to comparing real-time environment data with environment data in the standard wearing collocation parameters one by one so as to match a data model recommended by proper wearing collocation; after the model is built, acquiring target position information of a user through the position acquisition module 400, then sending the acquired target position information of the user to the real-time environment module 500, and acquiring real-time environment data of an area where the target position is located in real time through the real-time environment module 500 according to the target position information, wherein the real-time environment data comprises real-time air temperature data, real-time environment humidity data, real-time weather type data and real-time wind power data; the real-time weather type data comprises weather type data of sunny days, rainy days, cloudy days and the like; the collected real-time environment data is sent to the data import module 600, then the real-time environment data is imported into the dynamic wearing collocation model through the data import module 600, the real-time environment data is analyzed through the analysis recommendation module 700 by adopting the dynamic wearing collocation model, the analysis method refers to comparing the real-time environment data with the environment data in the standard wearing collocation parameters one by one, and then the proper wearing collocation is matched, and further the wearing collocation recommendation information is generated and sent to the user. When the environmental data are analyzed and compared, the environmental data are respectively compared one by one aiming at different environmental data, the real-time temperature data and the temperature data in the first standard wearing collocation parameter are compared and matched by the temperature comparison submodule 710 by adopting a dynamic wearing collocation model, and a first comparison result aiming at the temperature data is generated and sent; comparing the real-time environment humidity data with humidity data in a second standard wearing collocation parameter by adopting a dynamic wearing collocation model through a humidity comparison submodule 720, and generating and sending a second comparison result aiming at the humidity data; comparing and matching the real-time weather type data with weather type data in a third standard wearing collocation parameter by a type comparison submodule 730 through a dynamic wearing collocation model, and generating and sending a third comparison result aiming at the weather type; the real-time wind power data and the wind power data in the fourth standard wearing collocation parameter are compared and matched by the wind power comparison submodule 740 by adopting a dynamic wearing collocation model, and a fourth comparison result aiming at the wind power is generated and sent; then, the first comparison result, the second comparison result, the third comparison result and the fourth comparison result are integrated by the matching sub-module 750 to obtain an integrated report, the integrated report arranges the plurality of comparison results, selects matching information with the highest matching frequency according to the matching frequency of wearing matching, and then generates and sends wearing matching recommendation information according to the matching information to recommend the most reasonable wearing matching for the user. The invention can dynamically recommend reasonable wearing matching in real time according to different environmental data aiming at clothes actually owned by different users, is suitable for different groups of users, and has good user experience.
The above is only a preferred embodiment of the present invention, and is not intended to limit the present invention, and various modifications and changes will occur to those skilled in the art. Any modification, equivalent replacement, or improvement made within the spirit and principle of the present invention should be included in the protection scope of the present invention.
It will be evident to those skilled in the art that the present application is not limited to the details of the foregoing illustrative embodiments, and that the present application may be embodied in other specific forms without departing from the spirit or essential attributes thereof. The present embodiments are therefore to be considered in all respects as illustrative and not restrictive, the scope of the application being indicated by the appended claims rather than by the foregoing description, and all changes which come within the meaning and range of equivalency of the claims are therefore intended to be embraced therein. Any reference sign in a claim should not be construed as limiting the claim concerned.
Claims (10)
1. The utility model provides a dress collocation recommendation system which characterized in that, includes information entry module, standard setting module, model establishment module, position acquisition module, real-time environment module, data import module and analysis recommendation module, wherein:
the information input module is used for inputting clothes information of a user;
the standard setting module is used for setting standard wearing collocation parameters according to the clothes and clothing information of the user;
the model establishing module is used for establishing a dynamic wearing matching model according to the standard wearing matching parameters;
the position acquisition module is used for acquiring and transmitting target position information;
the real-time environment module is used for acquiring and sending real-time environment data of the area where the target position is located in real time according to the target position information;
the data import module is used for importing the real-time environment data into the dynamic wearing collocation model;
and the analysis recommending module is used for comparing the real-time environment data with the environment data in the corresponding standard wearing collocation parameters through the dynamic wearing collocation model to obtain and send wearing collocation recommending information.
2. The wear collocation recommendation system of claim 1, wherein the standard setting module comprises a temperature sub-module, a humidity sub-module, a weather type sub-module, and a wind sub-module, wherein:
the temperature submodule is used for setting corresponding wearing matching clothes in different temperature ranges so as to obtain a first standard wearing matching parameter;
the humidity submodule is used for setting the wearing matching clothes corresponding to different environment humidity range values to obtain a second standard wearing matching parameter;
the weather type submodule is used for setting wearing matching clothes corresponding to different weather types so as to obtain a third standard wearing matching parameter;
and the wind power submodule is used for setting the wearing matching clothes corresponding to different wind power levels so as to obtain a fourth standard wearing matching parameter.
3. The wear collocation recommendation system of claim 2, wherein the real-time environmental data includes real-time air temperature data, real-time environmental humidity data, real-time weather type data, and real-time wind data.
4. The wear collocation recommendation system of claim 3, wherein the analysis recommendation module comprises an air temperature comparison sub-module, a humidity comparison sub-module, a type comparison sub-module, a wind power comparison sub-module, and a collocation sub-module, wherein:
the temperature comparison submodule is used for comparing the real-time temperature data with the first standard wearing collocation parameter through the dynamic wearing collocation model, and generating and sending a first comparison result;
the humidity comparison submodule is used for comparing the real-time environment humidity data with a second standard wearing collocation parameter through a dynamic wearing collocation model, and generating and sending a second comparison result;
the type comparison submodule is used for comparing the real-time weather type data with a third standard wearing collocation parameter through a dynamic wearing collocation model, and generating and sending a third comparison result;
the wind power comparison submodule is used for comparing the real-time wind power data with a fourth standard wearing collocation parameter through the dynamic wearing collocation model, and generating and sending a fourth comparison result;
and the matching sub-module is used for generating and sending the wearing matching recommendation information according to the first comparison result, the second comparison result, the third comparison result and the fourth comparison result.
5. The wear collocation recommendation system of claim 1, further comprising an arrangement acquisition module and an object tagging module, wherein:
the arrangement acquisition module is used for acquiring and sending user travel arrangement information;
and the target marking module is used for extracting the initial position information and the end position information in the user trip arrangement information, marking the initial position information as first target position information and marking the end position information as second target position information.
6. A wearing collocation recommendation method is characterized by comprising the following steps:
inputting clothes information of a user;
setting standard wearing collocation parameters according to the clothes and apparel information of a user;
establishing a dynamic wearing collocation model according to the standard wearing collocation parameters;
acquiring and sending target position information;
acquiring and transmitting real-time environment data of the area where the target position is located in real time according to the target position information;
importing real-time environment data into a dynamic wearing collocation model;
and comparing the real-time environment data with the environment data in the corresponding standard wearing collocation parameters through the dynamic wearing collocation model to obtain and send wearing collocation recommendation information.
7. The method of claim 6, wherein the method for setting the standard fitting parameters comprises the following steps:
setting different temperature ranges to correspond to the wearing matching clothes so as to obtain a first standard wearing matching parameter;
setting the wearing matching clothes corresponding to different environmental humidity range values to obtain second standard wearing matching parameters;
setting wearing matching clothes corresponding to different weather types to obtain a third standard wearing matching parameter;
and setting the wearing matching clothes corresponding to different wind power levels to obtain the fourth standard wearing matching parameters.
8. The wear collocation recommendation method of claim 7, wherein the real-time environmental data includes real-time air temperature data, real-time environmental humidity data, real-time weather type data, and real-time wind data.
9. The wear-matching recommendation method according to claim 8, wherein the method for comparing the real-time environment data with the environment data in the corresponding standard wear-matching parameters by the dynamic wear-matching model to obtain and send the wear-matching recommendation information comprises the following steps:
comparing the real-time temperature data with a first standard wearing collocation parameter through a dynamic wearing collocation model to generate and send a first comparison result;
comparing the real-time environment humidity data with a second standard wearing collocation parameter through a dynamic wearing collocation model to generate and send a second comparison result;
comparing the real-time weather type data with a third standard wearing collocation parameter through a dynamic wearing collocation model, and generating and sending a third comparison result;
comparing the real-time wind power data with a fourth standard wearing collocation parameter through a dynamic wearing collocation model to generate and send a fourth comparison result;
and generating and sending the wearing collocation recommendation information according to the first comparison result, the second comparison result, the third comparison result and the fourth comparison result.
10. The wearing collocation recommendation method according to claim 6, further comprising the steps of:
acquiring and sending user travel arrangement information;
and extracting starting position information and end position information in the user trip arrangement information, marking the starting position information as first target position information, and marking the end position information as second target position information.
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