A life cycle management system and management method for customized outdoor clothing

Abstract

The embodiment of the present application discloses a life cycle management system and method for outdoor clothing customization. The system includes an information acquisition module, a model library and a management module. The information acquisition module acquires the user's human body model, customization parameters and specific information, and stores the user's human body model in the model library; the management module includes: a fitting submodule fits the customization parameters, specific information, the user's human body model and the matching clothing model in the model library to obtain a fitting model; a processing submodule updates the clothing model and / or the user's human body model according to user feedback information, and displays the updated fitting model through the fitting submodule; the customization submodule generates a clothing customization plan according to the clothing model corresponding to the fitting model determined by the user, and sends it to the clothing production end to complete the clothing customization. The system and method of the present application effectively provide users with a diversified, personalized and highly customized outdoor clothing customization plan.

Description

Technical Field

[0001] The present application relates to the technical field of intelligent management systems, to scenario-based and personalized clothing customization management technologies, and in particular to a management system and a management method for outdoor clothing customization and life cycle management. Background Art

[0002] Humans have been making clothes since primitive society, including softening animal skins, weaving plant vines, and using plant fibers such as cotton and linen. Clothes are necessities of human life and have developed with the development of social civilization. From textile manufacturing in agricultural society to machine manufacturing in industrial society, there have been major changes with the rapid development of the economy and society. At the same time, people's interest in outdoor sports has also increased rapidly in their daily lives. Correspondingly, the outdoor clothing industry has also developed rapidly.

[0003] With the rapid development of information and intelligent technology, people's lifestyles and consumption patterns have also undergone earth-shaking changes. The proportion of the Internet economy in people's daily lives is also increasing. People's food, clothing, housing, transportation, work, entertainment, social interaction, etc. are increasingly inseparable from the Internet. The purchase of clothing is increasingly relying on the Internet platform. Through the operation of the terminal system, it is convenient to search for the required clothing from the perspective of function, material, style, brand and other factors.

[0004] As for clothing and equipment for outdoor sports, the requirements for usage scenarios, functional performance and user personalization are particularly prominent, which also highlights the important role of information and intelligent technology in this industry. However, except for a few leading sports brands that provide simple online user personalized customization systems, there are few deeply functional and personalized customization systems for outdoor clothing, and their personalized customization systems mainly match primary needs such as color, fixed styles, or adding personalized printing, graffiti, etc. In the outdoor sports market, this is seriously inconsistent with consumers' growing demands for functionality, comfort and personalization.

[0005] In view of this, the present application provides a life cycle management system and data analysis method for clothing customization targeting the specific needs of consumer groups. More specifically, for the outdoor clothing customization market, the present application provides consumer groups with a product life cycle management system that can meet the diversified, personalized, and high-tech needs of outdoor clothing customization, and its corresponding management method. Summary of the invention

[0006] The present application provides a life cycle management system for customized outdoor clothing, which utilizes artificial intelligence technology (AI) to efficiently and accurately acquire and generate user-related information and scene-related information, and combines virtual reality technology (VR) and augmented reality technology (AR) to improve the matching and customization experience with user customization needs, forming a customization chain with high experience, and providing users with highly customized products based on function, comfort and personality through the management system.

[0007] The present application provides a life cycle management system for outdoor clothing customization, the system comprising an information acquisition module, a model library and a management module, wherein:

[0008] An information acquisition module is used to obtain a user human body model, customized parameters and specific information, and store the user human body model in a model library;

[0009] Model library, used to store clothing models and user body models;

[0010] The management modules include:

[0011] A fitting submodule is used to fit the customized parameters, specific information, user human body model and the matching clothing model in the model library to obtain a fitting model;

[0012] The processing submodule updates the clothing model and / or the user body model according to the user feedback information, and displays the updated fitting model through the fitting submodule;

[0013] The customization submodule is used to generate a clothing customization plan according to the clothing model corresponding to the fitting model determined by the user, and send it to the clothing production end to complete the clothing customization.

[0014] In some possible implementations, the system can be expanded to include an experience terminal: the experience terminal is an AI smart mobile device, used to extract user human virtual data to build a human body model, receive user customized parameters, and extract specific information based on user specific needs and / or user scenario description information.

[0015] In some possible implementations, the experience terminal is included in the user terminal and / or the store experience terminal. The experience terminal can receive the fitting model generated by the fitting submodule and dynamically display it in a scenario-based manner; the user feeds back information on the user terminal or the store experience terminal based on the dynamically displayed fitting model.

[0016] Among some possible implementations:

[0017] The clothing model includes a style feature matrix, a size feature matrix and a function feature matrix;

[0018] The user human body model includes appearance features, action features, and body shape features;

[0019] The customization parameters include: materials, colors, logos, etc. of the optional parts of the clothing model;

[0020] The specific information includes location, time, and outdoor projects.

[0021] In some possible implementations, the fitting submodule is used to fit the customization parameters, specific information, user body model and matching clothing model in the model library to obtain a fitting model, specifically including:

[0022] Based on the customized parameters, the clothing model selected by the user is adjusted and updated, and the updated clothing model is fitted on the user's body model; based on the specific information, a specific information function feature matrix is ​​generated, and a functional matching degree is generated; the updated clothing model is fitted on the user's body model and combined with the functional matching degree to generate a fitting model.

[0023] In some possible implementations, a scenario-based video is generated based on specific information, and a virtual scene of a user body model fitting a clothing model is rendered based on the scenario-based video to generate a fitting model.

[0024] In some possible implementations, the management module generates a QR code based on the clothing customization solution and is integrated into the clothing customization solution; the user can obtain personal customization information and the outdoor clothing information by scanning the QR code.

[0025] In some possible implementations, the lifecycle management system for outdoor clothing customization also integrates a user physical sign database to update and / or expand relevant parameters of clothing models and human body models based on the acquired user outdoor sports physical sign data.

[0026] In addition, the present invention also provides a life cycle management method for outdoor clothing customization, which includes the following steps:

[0027] Obtain user human body model, customization parameters and specific information;

[0028] Fitting the customized parameters, specific information, and the user's human body model with the matching clothing model in the model library to obtain a fitting model;

[0029] According to the user feedback information, the clothing model and / or the user body model is updated, and the updated fitting model is displayed through the fitting submodule;

[0030] A clothing customization plan is generated based on the clothing model corresponding to the fitting model determined by the user, and sent to the clothing production end to complete the clothing customization.

[0031] In some possible implementations, the life cycle management method for outdoor clothing customization also includes:

[0032] Extracting user's human body virtual data through the experience terminal to build a human body model, receiving user customized parameters, and extracting specific information according to user's specific needs and / or user scenario description information;

[0033] The fitting model generated by the fitting submodule is received through the experience terminal, and is dynamically displayed in a scenario-based manner;

[0034] The user feeds back information on the user terminal or the store experience terminal according to the dynamically displayed fitting model.

[0035] Specifically, some possible implementation methods include:

[0036] The clothing model includes a style feature matrix, a size feature matrix and a function feature matrix;

[0037] The user human body model includes appearance features, action features, and body shape features;

[0038] The customization parameters include: materials, colors, logos, etc. of the optional parts of the clothing model;

[0039] The specific information includes location, time, and outdoor projects.

[0040] In some possible implementations, in the life cycle management method for outdoor clothing customization, fitting the customization parameters, specific information, and user body model with the matching clothing model in the model library to obtain a fitting model also includes:

[0041] Adjusting and updating the clothing model selected by the user based on the customized parameters, and fitting the updated clothing model on the user body model;

[0042] Generate a specific information function feature matrix based on specific information and generate a function matching degree;

[0043] The updated clothing model is fitted on the user's body model and combined with the functional matching degree to generate a fitting model.

[0044] In some possible implementations, the life cycle management method for outdoor clothing customization further includes:

[0045] A scenario video is generated based on specific information, and a virtual scene of a user body model fitting a clothing model is rendered based on the scenario video to generate a fitting model.

[0046] In some possible implementations, the life cycle management method for outdoor clothing customization further includes:

[0047] A QR code is generated based on the clothing customization solution and integrated into the clothing customization solution; users obtain personal customization information and the outdoor clothing information by scanning the QR code.

[0048] In some possible implementations, the life cycle management method for outdoor clothing customization further includes:

[0049] The user physical sign database of the life cycle management system for outdoor clothing customization updates and / or expands the relevant parameters of the clothing model and the human body model based on the acquired user's outdoor sports physical sign data.

[0050] Through the implementation methods provided by the above aspects and the implementation methods formed by further combination, a diversified, personalized, and high-tech outdoor clothing customization implementation plan is effectively provided for outdoor clothing customization users. BRIEF DESCRIPTION OF THE DRAWINGS

[0051] In order to more clearly illustrate the technical solutions in the embodiments of the present application, the drawings required for use in the description of the embodiments will be briefly introduced below. Obviously, the drawings described below are only some embodiments of the present application. For those skilled in the art, other drawings can be obtained based on these drawings without creative work.

[0052] Figure 1 It is a schematic diagram of a life cycle management system for outdoor clothing customization provided by the implementation scheme of the present application;

[0053] Figure 2 is a schematic diagram of a life cycle management system for outdoor clothing customization provided by another embodiment of the present application;

[0054] Figure 3 is a schematic diagram of the architecture of a life cycle management system for outdoor clothing customization provided by another embodiment of the present application;

[0055] Figure 4 It is a flow chart of a life cycle management method for outdoor clothing customization provided by the present application;

[0056] Figure 5 is a schematic diagram of the structure of a computing device provided in an embodiment of the present application;

[0057] Figure 6 It is a structural diagram of a computing device cluster provided in an embodiment of the present application. DETAILED DESCRIPTION

[0058] The technical solutions in the embodiments of the present application will be clearly and completely described below in conjunction with the drawings in the embodiments of the present application. Obviously, the described embodiments are only part of the embodiments of the present application, rather than all the embodiments. Based on the embodiments in the present application, all other embodiments obtained by those skilled in the art without making creative work are within the scope of protection of the present application. In addition, it should be understood that the specific embodiments described herein are only used to illustrate and explain the present application, and are not used to limit the present application.

[0059] In outdoor activity scenarios, in addition to the basic functional requirements of daily clothing such as beauty, fit, comfort, and durability, clothing also requires different degrees of warmth, windproof, breathable, tear-resistant, and even some local specific functions such as neck protectors, knee pads, and multi-functional pockets based on the requirements of specific scenarios. This is niche and specific for mass-produced daily clothing, and thus has high production and manufacturing costs. This is why there is a need and rationality for customized outdoor clothing.

[0060] The life cycle management solution for customized outdoor clothing provided in this application is based on this, combining information technologies such as artificial intelligence, virtual reality and augmented reality, and provides an intelligent solution with high experience and high customization from online customization, experience to consumption and service life cycle information management.

[0061] See attached Figure 1 The architecture diagram of the outdoor clothing customization life cycle management system is shown in FIG. Figure 1 As shown, the architecture includes: a life cycle management system 100 for outdoor clothing customization from data collection, model generation, model fitting, model display, model update to clothing customization scheme generation, to the final completion of clothing customization; a user terminal 200 and a store experience terminal 300 for extracting user human virtual data to build a human body model, receiving user customization parameters, and extracting specific information and model display according to user specific needs and / or user scenario description information; and, finally producing customized outdoor clothing production terminal 400. Among them, the life cycle management system 100 for outdoor clothing customization is set in a computer system cluster. The user terminal 200 and the store experience terminal 300 mainly include AI smart devices, including but not limited to AI smart phones, computer devices with integrated AI systems, augmented reality devices or virtual reality devices. In addition, users can also log in to the user interface of the life cycle management system 100 for outdoor clothing customization through the user terminal and the store experience terminal 300 to realize the information interaction and display function between the user and the life cycle management system 100 for outdoor clothing customization.

[0062] Among them, the life cycle management system 100 for outdoor clothing customization includes an information acquisition module 101 for obtaining information required for clothing customization, specifically, for obtaining user body models, customization parameters and specific information, and storing user body models in a model library; a model library 102, for storing clothing models and user body models; a management module 110 for implementing clothing customization cycle management, the management module includes: a fitting submodule 111, for fitting customization parameters, specific information, user body models and matching clothing models in the model library to obtain a fitting model; a processing submodule 112, for updating clothing models and / or user body models according to user feedback information, and displaying the updated fitting model through the fitting submodule 111; a customization submodule 113, for generating a clothing customization plan according to the clothing model corresponding to the fitting model determined by the user, and sending it to the clothing production end to complete clothing customization.

[0063] In the process of outdoor clothing customization, in order to improve user experience, customization efficiency and satisfaction, it is indispensable to set up an effect display function. Specifically, it is integrated into the user terminal 200 and / or the store experience terminal 300, or called the experience terminal 500, that is, the experience terminal 500 can be included in the user terminal, the store experience terminal, such as Figure 2 As shown, the experience terminal 500 can be used to extract the user's human body virtual data to build a human body model, receive user customized parameters, and extract specific information according to user specific needs and / or user scene description information, and can also receive the fitting model generated by the fitting submodule 111 and dynamically display it in a scene. The specific display function is specifically described in the following description of the fitting function.

[0064] In order to facilitate online design, online experience and online customization, artificial intelligence functions are integrated in the experience terminal 500. Specifically, the user terminal 200 (optionally, such as an AI smartphone) generates a human body model through its photo and video functions and the integrated AI algorithm. Furthermore, based on functions such as photo and video, a two-dimensional image or dynamic video of the user can be obtained, and local features such as the user's appearance and action characteristics can be extracted from it. Through AI generation technology, it is generated and synthesized into a human body model, so as to display user information more vividly and realistically, and provide more refined model data for subsequent fitting models.

[0065] In addition, the store experience terminal 300 can be equipped with an AI device with enhanced functionality, and through its photo, video and / or scanning functions, the system's integrated AI algorithm can generate a human body model to provide users with a higher experience of the store experience port on site. Furthermore, local features such as user appearance and movement characteristics can be extracted, generated and synthesized into the human body model.

[0066] Specifically, the human body model includes information data such as appearance features, motion features, and body shape features. Appearance features refer to the facial features of the user, specifically, the facial features, hairstyle, and facial expression features; motion features refer to the common dynamic features of the user, such as walking posture, standing posture, sitting posture, and running posture; body shape features include common local features such as height, weight, chest circumference, waist circumference, arm length, leg length, shoulder width, and head circumference, which are used to construct the overall body shape features of the user, including standing posture, walking posture, and running posture. Based on the above features, a static human body feature model of the user and a dynamic human body feature model of the corresponding movement can be constructed. Optionally, these features for constructing the human body model can be extracted and generated through the user terminal and / or the store experience terminal.

[0067] Similarly, the lifecycle management system 100 for outdoor clothing customization may also additionally integrate a functional module for generating a user human body model, and the functions are basically the same as above, and only further expansion is made in the selection of the system functional architecture, which will not be elaborated here.

[0068] After the user body model is generated, it may be stored in the model library 102 in the outdoor clothing customization lifecycle management system 100 .

[0069] The clothing model mainly integrates the corresponding clothing parameters, such as: one or more parameters such as version, style, size, weight, material, color splicing and function; the functional parameters mainly include warmth, windproof, breathability, etc., which can be integrated based on materials or displayed based on the overall clothing. Clothing model data can be generated independently or imported based on data from cooperative clothing manufacturers. The clothing model standardizes a unified data format. It should be emphasized that the size here contains a detailed size data set, including a data set composed of one or more parameters such as length, shoulder width, chest circumference, arm length, waist circumference, hip circumference, trouser length, etc.

[0070] Optionally, the clothing model is generated by virtual reality technology or augmented reality technology, and the model is displayed in a virtual view. The clothing model includes a style feature matrix, a size feature matrix and a functional feature matrix in parameter form. The style feature matrix includes style, material, brand, price, etc.; the size feature matrix includes length, shoulder width, chest circumference, arm length, waist circumference, hip circumference, trouser length, etc.; the functional feature matrix includes warmth, windproof, breathable, quick-drying, wear-resistant, (specific part) protection, weight, antibacterial, UV protection and tear resistance, etc.

[0071] Specifically, the clothing model is stored in the model library 102 in the lifecycle management system 100 for outdoor clothing customization.

[0072] In the existing clothing size system, there are various size standards set according to countries and regions, and different clothing manufacturers also have their own clothing size systems. In real online shopping, users often choose inappropriate sizes due to the above situation, which not only reduces the user's shopping experience, but also reduces the efficiency of online shopping and increases the cost of online shopping. In view of this, in the outdoor clothing customization life cycle management system 100, based on the high-precision simulated user human body model and clothing model, a high degree of customization can be achieved without the user having to worry about the problem of size selection anxiety.

[0073] Therefore, the customization parameters are mainly concentrated on personalized customization, such as materials, colors, logos, etc. Based on the functionality of outdoor clothing, different materials are often designed to be spliced ​​based on different parts of the human body to achieve corresponding specific functions. Therefore, in the life cycle management system of the customization of outdoor clothing, it can be designed to provide a variety of material options for users to choose from in the corresponding parts. Color refers to the choice of colors for different parts, as well as the matching of colors between different parts, etc. Logos are diverse and have different uses, such as warning signs, advertising signs, personalized signs, functional signs, etc. Optionally, the customization parameters can be based on the user's input on the user's experience terminal 500, or based on the user's operable selection of relevant parameter content in the fitting model displayed on the experience terminal 500.

[0074] Specific information, customized for specific scenarios of outdoor clothing for specific users, based on the location, time, outdoor projects and other information of the user's outdoor sports, obtain the scenario information of the customized clothing application scenario. Specifically, for example, the specific user plans to climb the Himalayas during this year's National Day. Then the life cycle management system 100 for customized outdoor clothing can extract the functional information corresponding to the associated outdoor clothing based on the acquired information such as the location, time, outdoor projects, etc. Optionally, the specific information can be preset in a predetermined format in the user operation interface of the life cycle management system 100 for customized outdoor clothing, so that the user can fill in the format; another optional method can also be based on artificial voice intelligence technology, and extracted and identified in the user's customer service communication at the store experience end.

[0075] After obtaining the above-mentioned relevant data such as the human body model, clothing model, customization parameters and specific information, the life cycle management system 100 for outdoor clothing customization can perform the main customization management operations.

[0076] The fitting submodule 111 of the management module 110 fits the customized parameters, specific information, user human body model and the matching clothing model in the model library to obtain a fitting model. Specifically, the fitting submodule 111 extracts the clothing model and user human body model selected by the user from the model library 102, adjusts and updates the clothing model selected by the user based on the customized parameters, and then fits the updated clothing model on the user human body model; at the same time, based on the specific information, artificial intelligence technology is used to extract relevant scenes, climate and required functions and other information, such as the above-mentioned "climbing the Himalayas during this year's National Day", extracts the climate data of the region in the same period in the past from the Internet big data, including temperature, rain and snow weather and other information, and parameterizes the functional feature matrix corresponding to the clothing model, generates a specific information function requirement matrix, that is, the specific information function requirement matrix has the same format parameters as the functional feature matrix in the clothing model, and judges the functional matching degree of the scene information of the scene selected by the user and the specific information based on the specific information function requirement matrix (represented by N) and the functional feature matrix in the clothing model (represented by M). Specifically, the matrix similarity and other operations that describe the degree of matrix similarity are used to quantify the judgment:

[0077] dis(N,M)=N˙M (1)

[0078] The matching value d between the specific information function requirement matrix N and the function feature matrix M can be quantitatively calculated by formula (1), which is recorded as the function matching degree.

[0079] The above customization parameters include material, color, and logo; the specific information includes location, time, and outdoor project. Thus, the updated clothing model is fitted on the user's human body model and the functional matching degree is shown at the same time, so as to obtain the fitting model.

[0080] Optionally, in addition to fitting the updated clothing model on the user body model and showing the functional matching degree to obtain the fitting model, artificial intelligence technology can also be used for specific information, that is, generating a scenario video of a specific outdoor sports, and through virtual reality technology, rendering the virtual scene of the user body model fitting the clothing model in the scenario video, thereby generating a new scenario fitting model.

[0081] The scenario-based fitting model generated above is configured to be displayed on the user experience terminal. Furthermore, in the display of the user experience terminal, an interactive function can also be set to provide users with a highly customized parameter selection interface, that is, the user can make targeted choices such as the visual adjustment of each parameter in the style feature matrix, size feature matrix and function feature matrix in the clothing model during the display of the scenario-based fitting model. Therefore, the fitting model not only provides users with a highly customized outdoor clothing display experience, but also, based on the matching of specific scene functions and the rendering of scene-based and customized clothing models, it can more effectively strengthen the user's interest in outdoor sports and enhance the customized experience scenario.

[0082] After the user makes the visual adjustment based on the fitting model display, the processing submodule 112 of the management module 110 updates the clothing model and / or the user body model according to the user's feedback information, and transmits the updated clothing model and / or the user body model to the fitting submodule 111. Specifically, based on the parameters of the clothing model adjusted by the user, and optionally, the user adjusts the body model parameters in the fitting model displayed on the experience terminal in combination with personal specific needs or intentions, the fitting submodule 111 updates the fitting model according to the above fitting process.

[0083] Through the visual display of the user, combined with the fitting model of the outdoor clothing and the specific scene fitting and the parameter adjustment of the user's clothing model and / or the user's body model, the clothing model in the fitting model is determined, and the outdoor clothing customization parameters required by the customization sub-module of outdoor clothing customization are derived from the clothing model determined by the user to generate a clothing customization plan.

[0084] After the clothing customization plan is determined, the customization submodule 113 of the management module 110 sends the clothing customization plan to the clothing production end to complete the clothing customization.

[0085] Therefore, the life cycle management system 100 of outdoor clothing customization completes the complete clothing customization cycle management from early information acquisition to design, display experience, update, and sales with a high degree of user online interaction.

[0086] The functionality of outdoor clothing is mainly reflected in warmth, windproof, waterproof, breathable, moisture permeable, quick-drying, wear-resistant, protective, lightweight, antibacterial, UV protection and tear resistance, etc. In addition to the development and matching of functional materials, the targeted design and selection of patterns and styles and multi-layer combinations, there is also the structured design and splicing of different parts of clothing, etc. These are all conducive to the implementation of parameterized and indexed design, and then conducive to combining the use of information technology to provide such a customized life cycle management system for outdoor clothing, to provide users with in-depth customization functions and highly information-based management, and to enhance the information-based manufacturing and intelligent manufacturing of outdoor clothing from multiple dimensions such as product strength, user experience and consumption upgrades.

[0087] In order to further enhance the user consumption experience and improve the life cycle management effect of outdoor clothing customization, the after-sales management function of clothing customization can be expanded.

[0088] Optionally, during the clothing customization process, the management module 110 of the life cycle management system 100 for outdoor clothing customization generates a QR code based on the clothing customization plan and integrates it into the clothing customization plan. When the customization submodule 113 sends the clothing customization plan to the clothing production end 400 to implement clothing customization, the production end 400 can print the QR code on the clothing. The user can obtain personal customization information and the outdoor clothing information by scanning the QR code. Figure 3 Specifically, the QR code can be printed on the inner label strip or under the collar of the underwear, etc., where it does not affect the appearance of the clothes and is convenient for users to find. Furthermore, the customized information involves the user's private information and business information. In the settings, verification means can be added, for example, a verification code verification based on the user account is commonly added, thereby preventing others from obtaining such information except the customized user.

[0089] Optionally, with the rapid development of artificial intelligence technology and communication technology, as well as the exponential increase in data capacity and data computing power, it is expected that in such a market environment, that is, in an environment with a high penetration rate of AI smart mobile terminals, in order to further improve the user experience, a real-time information feedback and update mechanism can be integrated into the life cycle management system 100 for customized outdoor clothing. On the one hand, based on the diversified functional structures of outdoor clothing, micro sensors, temperature sensors, humidity sensors, etc. can be set on parts that do not affect the user's wearing comfort, such as the outside of the back neck collar, buttons, zipper rings, etc., to obtain the user's vital sign data during outdoor sports in real time; on the other hand, the corresponding data collection and analysis functions are integrated in the AI ​​smart mobile terminal to provide users with real-time vital sign information of sports. At the same time, the life cycle management system 100 for customized outdoor clothing can optionally integrate a user vital sign database 600 for recording user vital sign information, such as Figure 3As shown, based on the user's choice, relevant data can be selectively uploaded, and relevant parameters of clothing models and human models can be updated and / or expanded based on these data. Thus, the matching of subsequent outdoor clothing customization is further improved, and highly customized products based on function, comfort and personality are better provided to users.

[0090] Next, the corresponding management method and data analysis method based on the relevant functional architecture of the life cycle management system 100 for customized outdoor clothing will be demonstrated.

[0091] like Figure 4 As shown, the present application also discloses a life cycle management method for outdoor clothing customization, which includes the following steps:

[0092] S100: Acquire a user's human body model, customized parameters, and specific information.

[0093] Specifically, the information acquisition module of the outdoor clothing customization lifecycle management system 100 acquires the user's human body model, customization parameters and specific information from the experience terminal.

[0094] The human body model includes information data such as appearance features, motion features, and body shape features. Appearance features refer to the facial features of the user, specifically, the facial features, hairstyle, and facial expression features; motion features refer to the common dynamic features of the user, such as walking posture, standing posture, sitting posture, and running posture; body shape features include common local features such as height, weight, chest circumference, waist circumference, arm length, leg length, shoulder width, and head circumference, which are used to construct the overall body shape features of the user, including standing posture, walking posture, and running posture. Based on the above features, a static human body feature model of the user and a dynamic human body feature model of the corresponding movement can be constructed.

[0095] The clothing model is generated by virtual reality technology or augmented reality technology, and the model is displayed in a virtual view. The clothing model includes a style feature matrix, a size feature matrix and a functional feature matrix in parameter form. The style feature matrix includes style, material, brand, price, etc.; the size feature matrix includes length, shoulder width, chest circumference, arm length, waist circumference, hip circumference, trouser length, etc.; the functional feature matrix includes warmth, windproof, breathable, quick-drying, wear-resistant, (specific part) protection, weight, antibacterial, UV protection and tear resistance, etc.

[0096] Customization parameters mainly focus on personalized customization, such as materials, colors, logos, etc. Based on the functionality of outdoor clothing, different materials are often designed based on different parts of the human body to achieve corresponding specific functions. Therefore, in the life cycle management system of outdoor clothing customization, it can be designed to provide a variety of material options for users to choose from in the corresponding parts. Colors refer to the choice of colors for different parts, as well as the matching of colors between different parts, etc. Logos are diverse and have different uses, such as warning signs, advertising signs, personalized signs, functional signs, etc.

[0097] Specific information, for the specific scenario customization of outdoor clothing for a specific user, based on the location, time, outdoor project and other information of the user's outdoor sports, the scenario information of the customized clothing application scenario is obtained. Specifically, for example, the specific user plans to climb the Himalayas during the National Day this year. Then the life cycle management system 100 for outdoor clothing customization can extract the functional information corresponding to the associated outdoor clothing based on the acquired information such as the location, time, outdoor project, etc.

[0098] S200: Fitting the customized parameters, specific information, user body model and matching clothing models in the model library to obtain a fitting model.

[0099] Specifically, the fitting submodule 111 of the outdoor clothing customization lifecycle management system 100 fits the customization parameters, specific information, user body model and matching clothing models in the model library to obtain a fitting model.

[0100] S300: updating the clothing model and / or the user body model according to the user feedback information, and displaying the updated fitting model through the fitting submodule 111;

[0101] Specifically, the clothing model and / or the user body model is updated according to the user feedback information through the processing submodule 112 of the outdoor clothing customization lifecycle management system 100 , and the updated fitting model is displayed through the fitting submodule 111 .

[0102] S400: Generate a clothing customization plan based on the clothing model corresponding to the fitting model determined by the user, and send it to the clothing production end to complete the clothing customization.

[0103] Specifically, the customization submodule 113 of the outdoor clothing customization lifecycle management system 100 generates a clothing customization plan according to the clothing model corresponding to the fitting model determined by the user, and sends it to the clothing production end to complete the clothing customization.

[0104] Optionally, in the above-mentioned life cycle management method for outdoor clothing customization, in order to improve user experience, customization efficiency and satisfaction, it also includes:

[0105] S110: extracting user human body virtual data through the experience terminal to build a human body model, receiving user customized parameters, and extracting specific information according to user specific needs and / or user scenario description information;

[0106] S120: receiving the fitting model generated by the fitting submodule 111 through the experience terminal, and dynamically displaying it in a scenario-based manner;

[0107] S130: The user provides feedback on the user terminal or the store experience terminal according to the dynamically displayed fitting model.

[0108] Further optionally, in step S200 of the outdoor clothing customization life cycle management method, the method specifically includes:

[0109] S210: adjusting and updating the clothing model selected by the user based on the customized parameters, and fitting the updated clothing model on the user body model;

[0110] S220: Generate a specific information function feature matrix based on the specific information, and generate a function matching degree;

[0111] S230: Fitting the updated clothing model on the user body model in combination with the functional matching degree to generate a fitting model.

[0112] Optionally, in order to enhance the user scenario experience and precise customization, optionally, it also includes:

[0113] S240: Generate a scenario video based on the specific information, render a virtual scene of the user body model fitting the clothing model based on the scenario video, and generate a fitting model.

[0114] On the basis of completing the complete clothing customization cycle management from early information acquisition to design, display experience, update, and sales based on online interaction, in order to further enhance the user consumption experience and improve the life cycle management effect of outdoor clothing customization. Further, after-sales management of clothing customization can be added:

[0115] Optionally, it also includes:

[0116] S500: Generate a QR code based on the clothing customization solution and integrate it into the clothing customization solution; the user obtains personal customization information and the outdoor clothing information by scanning the QR code.

[0117] Optionally, it also includes:

[0118] S600: The user physical sign database of the outdoor clothing customization lifecycle management system 100 updates and / or expands relevant parameters of the clothing model and the human body model based on the acquired user's outdoor sports physical sign data.

[0119] Optionally, the present application also provides a computing device 700. Figure 5 The computing device 700 includes: a processor 701, a memory 702, a bus 703 and a communication interface 704. The processor 701, the memory 702 and the communication interface 704 communicate with each other through the bus 703. The computing device 700 can be a server or a terminal device. It should be emphasized that the number of processors and memories in the computing device 700 of the present application is one or more.

[0120] The memory 702 stores executable program codes, and the processor 702 executes the executable program codes to implement the aforementioned virtual clothing management method. Specifically, the memory 702 stores instructions for executing the outdoor clothing customization management method for the life cycle management system.

[0121] The communication interface 704 uses a transceiver module such as, but not limited to, a network interface card or a transceiver to implement communication between the computing device 700 and other devices or a communication network.

[0122] The present application embodiment also provides a computing device cluster. The computing device cluster includes at least one computing device. The computing device can be a server, such as a central server, an edge server, or a local server in a local data center. In some embodiments, the computing device can also be a terminal device such as a desktop computer, a laptop computer, or a smart phone.

[0123] like Figure 6 As shown, the computing device cluster includes at least one computing device 700. The memory 702 in one or more computing devices 700 in the computing device cluster may store the same instructions of the outdoor clothing customized lifecycle management system 100 for executing its management method.

[0124] Optionally, the computing device 700 in the computing device cluster can also be used to execute partial instructions of the lifecycle management system 100 for customized outdoor clothing for executing its management method, that is, a combination of one or more computing devices 700 can jointly execute instructions of the lifecycle management system 100 for customized outdoor clothing for executing its management method.

[0125] The embodiment of the present application also provides a computer-readable storage medium. The computer-readable storage medium can be any available medium that can be stored by a computing device or a data storage device such as a data center containing one or more available media. The available medium can be a magnetic medium (e.g., a floppy disk, a hard disk, a tape), an optical medium (e.g., a DVD), or a semiconductor medium (e.g., a solid-state hard disk). The computer-readable storage medium includes instructions that instruct the computing device to execute the management system for virtual clothing for executing the management method for virtual clothing.

[0126] The embodiment of the present application also provides a computer program product including instructions. The computer program product may be software or a program product including instructions that can be run on a computing device or stored in any available medium. When the computer program product is run on at least one computing device, the at least one computing device executes the above-mentioned virtual clothing management method.

[0127] Finally, it should be noted that: the above is a detailed introduction to a life cycle management system and management method for customized outdoor clothing provided by the implementation scheme of the present application. This article uses specific examples to illustrate the principles and implementation methods of the present application. The description of the above embodiments is only used to help understand the method of the present application and its core idea; at the same time, for technical personnel in this field, according to the ideas of the present application, there will be changes in the specific implementation methods and application scopes. In summary, the content of this specification should not be understood as a limitation on the present application.

Claims

1. A life cycle management system for outdoor clothing customization, characterized in that: The system includes an information acquisition module, a model library and a management module, wherein: An information acquisition module is used to obtain a user human body model, customized parameters and specific information, and store the user human body model in a model library; The specific information is location, time, and outdoor project; Model library, used to store clothing models and user body models; The management modules include: The fitting submodule is used to fit the customized parameters, specific information, user human body model and the matching clothing model in the model library to obtain a fitting model; specifically: Based on the customized parameters, the clothing model selected by the user is adjusted and updated, and the updated clothing model is fitted on the user's human body model; based on the specific information, a specific information function feature matrix is ​​generated, and a functional matching degree is generated; based on the specific information, a scene-based video is generated; based on the scene-based video, a virtual scene of the user's human body model fitting the updated clothing model is rendered, and a fitting model is generated in combination with the functional matching degree; The processing submodule updates the clothing model and / or the user body model according to the user feedback information, and displays the updated fitting model through the fitting submodule; The customization submodule is used to generate a clothing customization plan according to the clothing model corresponding to the fitting model determined by the user, and send it to the clothing production end to complete the clothing customization.

2. The management system according to claim 1, characterized in that: The system includes an experience terminal: The experience terminal is an AI intelligent mobile device, which is included in the user terminal and the store experience terminal; Extracting user human body virtual data to build a human body model, receiving user customized parameters, and extracting specific information according to user specific needs and / or user scenario description information; The fitting model generated by the fitting submodule is received and dynamically displayed in a scenario, and the user feedbacks information on the user terminal or the store experience terminal according to the dynamically displayed fitting model.

3. The management system according to claim 1, characterized in that: The clothing model includes a style feature matrix, a size feature matrix and a function feature matrix; The user human body model includes appearance features, action features, and body shape features; The customization parameters include materials, colors, and logos of optional parts in the clothing model; The specific information includes location, time, and outdoor projects.

4. A life cycle management method for outdoor clothing customization, characterized in that: The method includes: Obtaining a user's human body model, customized parameters, and specific information; the specific information includes location, time, and outdoor project; The customized parameters, specific information, user human body model and matching clothing models in the model library are fitted to obtain a fitting model; specifically: based on the customized parameters, the clothing model selected by the user is adjusted and updated, and the updated clothing model is fitted on the user human body model; based on the specific information, a specific information function feature matrix is ​​generated, and a functional matching degree is generated; based on the specific information, a scene-based video is generated; based on the scene-based video, a virtual scene of the user human body model fitting the updated clothing model is rendered, and a fitting model is generated in combination with the functional matching degree; According to the user feedback information, the clothing model and / or the user body model is updated, and the updated fitting model is displayed through the fitting submodule; A clothing customization plan is generated based on the clothing model corresponding to the fitting model determined by the user, and sent to the clothing production end to complete the clothing customization.

5. The management method according to claim 4, characterized in that: Extracting user's human body virtual data through the experience terminal to build a human body model, receiving user customized parameters, and extracting specific information according to user's specific needs and / or user scenario description information; The fitting model generated by the fitting submodule is received through the experience terminal, and is dynamically displayed in a scenario-based manner; The user feeds back information on the user terminal or the store experience terminal according to the dynamically displayed fitting model.

6. The management method according to claim 4, characterized in that: The clothing model includes a style feature matrix, a size feature matrix and a function feature matrix; The user human body model includes appearance features, action features, and body shape features; The customization parameters include materials, colors, and logos of optional parts in the clothing model.

7. The management method according to claim 4, characterized in that: Generate a QR code based on the clothing customization solution and integrate it into the clothing customization solution. Users can obtain personal customization information and outdoor clothing information by scanning the QR code; and / or The user's physical sign database is integrated to update and / or expand the relevant parameters of the clothing model and the human body model based on the acquired user's outdoor sports physical sign data.

8. A computing device cluster, characterized in that: The computing device cluster includes at least one computing device, and the at least one computing device includes at least one processor and at least one memory, wherein the at least one memory stores computer-readable instructions; the at least one processor executes the computer-readable instructions so that the computing device cluster executes the method as described in any one of claims 4 to 7.

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