Customized furniture design adaptation method and system based on wooden furniture industrial internet

Abstract

The invention relates to the technical field of intelligent design, in particular to a customized furniture design adaptation method and system based on the wooden furniture industrial internet, and the method comprises the steps: obtaining an adaptation request which at least comprises to-be-designed target space data and a customization demand; the to-be-designed target space data is processed at least according to the customization requirement, a design model is generated, and the design model at least comprises a furniture list; obtaining to-be-used furniture product prototype data meeting the customization requirements from a product database at least according to the furniture list; obtaining an adaptive furniture product prototype according to the to-be-used furniture product prototype data and the to-be-designed target space data; and processing at least according to the adaptive furniture product prototype and the to-be-designed target spatial data to obtain a furniture design effect picture, and displaying the furniture design effect picture in an interactive mode. According to the method, the furniture design drawing can be automatically designed and generated according to the adaptation request provided by the user, and the situation that the design process depends on personal experience and skills of a designer is reduced.

Description

Technical Field

[0001] The present invention relates to the field of intelligent design technology, and in particular to a customized furniture design adaptation method and system based on the wooden furniture industrial Internet. Background Art

[0002] In the traditional furniture market, the consumption model is mainly based on inventory-based mall sales. Consumers select ready-made furniture in the market and then adapt it according to their needs and space size. However, this consumption model often cannot meet consumers' high requirements for furniture personalization, space utilization and overall style coordination. In recent years, as consumers' pursuit of quality of life has improved, the whole house customized furniture sales model has gradually emerged, which provides more personalized and professional furniture solutions.

[0003] The core of the whole house customization sales model is to provide consumers with tailor-made furniture design services. To achieve this goal, it is necessary to first accurately measure the consumer's living space, and then design furniture based on the measured data and the consumer's personalized needs. During the design process, it is usually necessary to communicate with the consumer many times and repeatedly adjust and optimize the design plan until the consumer's expectations are met.

[0004] It can be seen that there are still some problems and challenges in the existing whole-house customization service process. The existing design process often relies on the personal experience and skills of the designer. The optimization and adjustment process of the design plan is time-consuming and not easy to automate.

[0005] Therefore, there is an urgent need to propose a customized furniture design adaptation system and method that can solve the above problems. Summary of the invention

[0006] In order to solve one of the above-mentioned problems in the prior art, the present invention provides a customized furniture design and adaptation method and system based on the wooden furniture industrial Internet.

[0007] To achieve the above-mentioned objectives, on the one hand, the present invention provides a customized furniture design adaptation method based on the wooden furniture industrial Internet, comprising: obtaining an adaptation request, the adaptation request at least comprising: target space data to be designed and customization requirements, wherein the target space data to be designed at least comprises: functional zoning information of the target to be designed and physical size information of the target to be designed, and the customization requirements at least comprise: functional requirements and style preference requirements of the target to be designed; processing the target space data to be designed at least according to the customization requirements to generate a design model, the design model at least comprising: a furniture list; obtaining, from a product database, prototype data of furniture products to be used that meet the customization requirements at least according to the furniture list; obtaining an adapted furniture product prototype according to the furniture product prototype data to be used and the target space data to be designed; obtaining a furniture design rendering by processing at least according to the adapted furniture product prototype and the target space data to be designed; and displaying the furniture design rendering in an interactive manner.

[0008] On the other hand, the present invention provides a customized furniture design and adaptation system based on the wooden furniture industrial Internet, comprising: a product database module, a product adaptation module, an intelligent design module and a display module; the product adaptation module is used to obtain an adaptation request, and the adaptation request at least includes: target space data to be designed and customization requirements, wherein the target space data to be designed includes at least: functional zoning information of the target to be designed and physical size information of the target to be designed, and the customization requirements include at least: functional requirements of the target to be designed and style preference requirements; the product adaptation module is also used to process the target space data to be designed at least according to the customization requirements to generate a design model, and the design model at least includes: a furniture list; the intelligent design module is used to obtain the prototype data of the furniture product to be used that meets the customization requirements from the product database module at least according to the furniture list, and obtain the adapted furniture product prototype according to the furniture product prototype data to be used and the target space data to be designed, and obtain the furniture design rendering according to at least the adapted furniture product prototype and the target space data to be designed; the display module is used to display the furniture design rendering in an interactive manner.

[0009] The beneficial effect of the present invention is that through the customized furniture design adaptation method and system based on the wooden furniture industrial Internet provided by the present invention, furniture design drawings can be automatically designed and generated according to the adaptation requests provided by users, reducing the reliance on the designer's personal experience and skills in the design process, reducing data inaccuracies caused by human errors, and being able to automatically optimize design plans using big data, and reduce the time required for adjustments, thereby intelligently generating personalized furniture design plans, and ultimately providing consumers with satisfactory whole-house customized furniture solutions. BRIEF DESCRIPTION OF THE DRAWINGS

[0010] Figure 1 This is a flow chart of the custom furniture design and adaptation method based on the wooden furniture industrial Internet provided by the present invention; Figure 2 A flowchart of a specific implementation case based on single-piece furniture design provided by the present invention; Figure 3 A schematic diagram of the design effect of a specific implementation case based on a single piece of furniture design provided by the present invention; Figure 4 This is a schematic diagram of the framework of the customized furniture design and adaptation system based on the wooden furniture industrial Internet provided by the present invention. DETAILED DESCRIPTION

[0011] The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0012] This embodiment provides a custom furniture design adaptation method based on the wooden furniture industrial Internet. Figure 1 As shown, including: Step S101, obtaining an adaptation request, the adaptation request at least includes: target space data to be designed and customization requirements, wherein the target space data to be designed at least includes: target functional partition information to be designed and target physical size information to be designed, and the customization requirements at least include: target functional requirements to be designed and style preference requirements; specifically, the adaptation request can be obtained through interactive input of the user, or can be obtained from the Internet or other storage media, or can be obtained through a combination of the two. For example, the adaptation request can be determined by receiving the user's order information. The target to be designed represents the house for which the user needs to design furniture; the target functional partition information to be designed represents the functional partition of the house, such as the master bedroom, guest bedroom, kitchen, study, etc.; the target physical size information to be designed represents the size information of the house and the size information of each functional partition; the target functional requirements to be designed represent the customer's functional design of the space, such as whether the bedroom can be used as a girl's room or a boy's room, whether the bedroom needs to be designed with a bathroom or a cloakroom, etc. The target functional requirements to be designed can also include requirements for furniture, such as bedside tables, wardrobes, sideboards, and other furniture for the whole house; style preference requirements refer to the customer's requirements for decoration styles, such as simple, retro, modern, Japanese, and other styles.

[0013] In an optional implementation, the adaptation request may further include: geographic location information of the target to be designed, the geographic location information of the target to be designed includes: customer geographic area information; the spatial data of the target to be designed is obtained in the following manner: obtaining the spatial data of the target to be designed according to the customer geographic area information. The customer geographic area information may include the province, city, town, county, village, community, building, house number, etc. The customer geographic area information may be used to obtain the corresponding spatial data of the target to be designed from the Internet. Obtaining the spatial data of the target to be designed from the Internet through the geographic area information can avoid the problem of low efficiency caused by the traditional room measurement method relying on manual measurement.

[0014] Step S102, at least according to the customization requirements, the target space data to be designed is processed to generate a design model, and the design model at least includes: a furniture list; specifically, according to the partition and functional division of the target space to be designed, all functional requirements of the target to be designed can be known, and then combined with the customization requirements input or selected by the user, the design model can be preliminarily determined. In addition to the furniture list, the design model can also include the design of the preliminary position of furniture, furniture combination, etc. Therefore, after determining the customization requirements and the target space data to be designed, the corresponding furniture products can be matched according to the customer's requirements for each functional partition and the physical size information of the target space to be designed, and combined into a complete furniture product list according to the product type information and product information, and a preliminary design model is formed according to the product list. For example, the product type information includes sofas, beds, cabinets, chairs, etc., and the product information includes single sofas, L-shaped sofas, single beds, double beds, children's beds, etc. For a specific design target house, the furniture list can be presented in the form of a list or in the form of a picture.

[0015] Step S103, at least according to the furniture list, obtain the prototype data of the furniture products that meet the customization requirements from the product database; specifically, through the furniture list determined in the previous step, the corresponding furniture product prototypes can be screened out in the product database to obtain the prototype data of the furniture products that are to be used, and the prototype data of the furniture products that are to be used include the size, process, assembly and other data of the furniture.

[0016] In an optional implementation, the customized furniture design adaptation method of this embodiment also includes: calling a deep learning algorithm to establish a training model based on the customer's geographic area information to obtain regional customer behavior preference information; obtaining the prototype data of furniture products to be used that meet the customization requirements from the product database at least based on the furniture list, including: obtaining the prototype data of furniture products to be used that meet the customization requirements from the product database based on the furniture list and regional customer behavior preference information. Specifically, the user's preferences and behaviors can be analyzed using big data based on the customer's geographic area information, so as to obtain the behavioral preferences of the specific area where the customer is located, and the customer's geographic area information can be used in subsequent intelligent design for big data analysis. Considering the customer's regional behavior preferences when obtaining the prototype data of furniture products to be used based on the furniture list can provide furniture design to customers more accurately.

[0017] In an optional embodiment, the product database is used to store and manage basic data related to furniture design, and the basic data includes at least: raw material information, standard dimensions, processing technology, and assembly methods. The product database is configured to be mainly responsible for storing and managing various basic data related to furniture design. These data include but are not limited to the raw material information, standard dimensions, processing technology, and assembly methods of furniture. The product database also has the functions of classifying, retrieving, and updating data to ensure the real-time and accuracy of the data. In the specific implementation process, the product database design must also take into account the structured and unstructured characteristics of the data, so that the product database can store structured data and unstructured data, so as to be compatible with various types of data, such as text, pictures, videos, etc. In addition, in order to ensure data security, the product database must also set up a data backup and recovery mechanism to prevent data loss or damage.

[0018] In addition, the product database can also be generated based on existing furniture products. Therefore, in an optional embodiment, the product database can include: a data model unit, the data model unit is configured to extract product information when receiving product design data; wherein the product information includes product type, product attributes and product design files. Product attributes include physical size, material, color and other information.

[0019] Step S104, obtaining an adapted furniture product prototype according to the prototype data of the furniture product to be used and the data of the target space to be designed; specifically, after the data of the product prototype has been determined in the aforementioned steps, an adapted furniture product can be designed according to the product prototype data. Of course, when performing design adaptation, the design should also be combined with the physical dimensions of each space or partition in the target space to be designed.

[0020] In the specific implementation process, a large amount of historical design data can be learned by calling a deep learning algorithm and a training model can be established to grasp the laws and trends of furniture design. Machine learning algorithms can also be used to analyze user preferences and behaviors to provide users with more personalized design suggestions. Then, based on the provided furniture product prototype data to be used, a design solution that meets user needs and aesthetics is automatically generated, which can meet the personalized needs of users while satisfying aesthetics and practicality. The specific algorithm steps for establishing a training model can be as follows, but the present invention is not limited to this: (1) Obtain data for analysis, including training data, historical data, and test data.

[0021] (2) Check the quality of the data and clean up incomplete and inaccurate data.

[0022] (3) Format, encode, normalize or standardize the data.

[0023] (4) Load the data for analysis, including training data, historical data, and test data.

[0024] (5) Analyze user preferences and behaviors based on data characteristics.

[0025] (6) Select appropriate evaluation indicators to evaluate the performance of the model.

[0026] (7) Use the training data set to train the model and adjust the model parameters to approach the optimal solution.

[0027] (8) Update and optimize the model according to new data or business needs, select features that are useful to the model, reduce data dimensions, and improve the accuracy and generalization ability of the model.

[0028] In a specific example, if the customer's geographical area belongs to Sichuan and Chongqing, it is necessary to analyze the user preferences and behaviors in Sichuan and Chongqing. First, the customer orders belonging to Sichuan and Chongqing are captured, and the customer orders in Sichuan and Chongqing are classified according to the order progress (in progress, canceled, completed, after-sales initiated). According to the decoration style, board materials, craftsmanship and other information of the completed orders, combined with the relevant information of the ongoing orders, the trend changes, distribution changes, and population distribution of the decoration style in Sichuan and Chongqing are analyzed, and then combined with the canceled order data to analyze the possible user behavior in the future. In addition, after the user selects a style preference, if the decoration style or craftsmanship selected by the customer has many after-sales problems, the customer can be recommended to choose another decoration style or craftsmanship based on the analysis.

[0029] Step S105, at least the adapted furniture product prototype and the target space data to be designed are processed to obtain a furniture design rendering; specifically, the adapted furniture product prototype can be set in the three-dimensional space of the target space to be designed and displayed in the form of a three-dimensional model, so that the user can provide feedback and make adjustments based on the preview effect. In addition, in order to better meet the needs of the user, multiple furniture design renderings can be generated for the user to choose.

[0030] In an optional embodiment, at least the furniture product prototype and the target space data to be designed are processed to obtain the furniture design renderings, including: obtaining the target functional zoning information to be designed from the target space data to be designed; obtaining the target room data to be designed according to the target functional zoning information to be designed; generating a furniture model using the furniture product prototype and the target room data to be designed; determining the color and material of the furniture model according to the style preference requirements; and rendering the furniture model based on the color and material to obtain the furniture design renderings. Specifically, after determining the adapted furniture product prototype, the adapted furniture product prototype can be 3D rendered in combination with the room zoning and functional zoning of the target space to be designed, so that the furniture design renderings can be displayed in a partitioned manner in the three-dimensional map of the target space to be designed, that is, various furniture is arranged in the three-dimensional map of the target space to be designed, so that the user can intuitively see the design effect. In addition, the process of rendering the color and material of the adapted furniture product prototype can be completed after determining the adapted furniture product prototype, but it can also be completed before determining the adapted furniture product prototype, which can be determined according to actual needs.

[0031] Step S106, displaying the furniture design renderings in an interactive manner. In order to enhance the adaptability of the furniture design, the user can also support the interaction with the design scheme, and the user can modify and adjust the scheme to improve customer satisfaction. Therefore, in an optional embodiment, the customized furniture design adaptation method also includes: receiving interactive feedback on the furniture design renderings; and regenerating the adaptation request based on the interactive feedback. By receiving user feedback to regenerate the adaptation request, the automatic adjustment of customer customization requirements can be completed conveniently and quickly, thereby improving the efficiency of communication with customers and the efficiency of furniture design.

[0032] The customized furniture design adaptation method based on the wooden furniture industrial Internet provided in this embodiment can automatically design and generate furniture design drawings according to the adaptation request provided by the user, reducing the reliance on the designer's personal experience and skills in the design process, reducing data inaccuracies caused by human errors, and can automatically optimize the design scheme using big data, and can also reduce the time required for adjustment, thereby intelligently generating personalized furniture design schemes, and ultimately providing consumers with satisfactory whole-house customized furniture solutions.

[0033] In order to better understand the present invention, a specific implementation case of furniture design using the customized furniture design adaptation method based on the wooden furniture industrial Internet of this embodiment is given below. This case is performed using the design of a single piece of furniture as an example. Figure 2 The following is a simplified flowchart of a specific case of single piece furniture design. The specific implementation steps in actual operation can be as follows: (1) Establish a basic product database and import decoration style data, raw material data, size data, etc. into the product database.

[0034] (2) Establish data matching rules such as keyword matching and associated relationship data matching. For example, the existing new Chinese decoration style is related to the Nordic decoration style. By entering the new Chinese style, the Nordic decoration style can be matched. When searching for the Nordic style, the new Chinese style decoration style can also be brought out as a recommendation.

[0035] (3) Input customer requirements, for example: the size of the dressing table is 1225*500*725, the size of the drawer is 475*147*508, the color is meridian gray, the shape is the lower beveled edge without pull handle, triamcinol drawer surface, etc.

[0036] (4) Match basic model data according to customer needs and provide prompts if there is any missing data.

[0037] (5) Analyze customer design style, shape, size data, etc., and automatically generate multiple design solutions through intelligent design.

[0038] (6) Select the corresponding design plan and modify it according to customer needs.

[0039] (7) Output the final design drawing, such as Figure 3 As shown, the figure shows the three-dimensional graphics of the product as well as the design size, shape, parameters and other data.

[0040] This embodiment also provides a customized furniture design adaptation system based on the wooden furniture industrial Internet. Figure 4 As shown, the customized furniture design and adaptation system includes: a product database module 401, a product adaptation module 402, an intelligent design module 403 and a display module 404.

[0041] The product database module 401 is used to store and manage basic data related to furniture design, and the basic data includes at least: raw material information, standard size, processing technology, and assembly method. The product database module 401 is configured to be mainly responsible for storing and managing various basic data related to furniture design. These data include but are not limited to the raw material information, standard size, processing technology, assembly method, etc. of furniture. The product database also has the functions of classifying, retrieving and updating data to ensure the real-time and accuracy of the data. In the specific implementation process, the product database design must also take into account the structured and unstructured characteristics of the data, so that the product database can store structured data and unstructured data, so as to be compatible with various types of data, such as text, pictures, videos, etc. In addition, in order to ensure data security, the product database must also set up a data backup and recovery mechanism to prevent data loss or damage.

[0042] In addition, the product database module 401 can also be generated based on existing furniture products. Therefore, in an optional embodiment, the product database module 401 can include: a data model unit, which is configured to extract product information when receiving product design data; wherein the product information includes product type, product attributes and product design files. Product attributes include physical size, material, color and other information.

[0043] The product adaptation module 402 is used to obtain an adaptation request, and the adaptation request includes at least: target space data to be designed and customization requirements, wherein the target space data to be designed includes at least: target functional zoning information to be designed and target physical size information to be designed, and the customization requirements include at least: target functional requirements to be designed and style preference requirements. The product adaptation module 402 is configured to adapt the furniture design according to the user's specific needs and preferences, combined with the data in the product basic module. The adaptation process mainly includes size adaptation, style adaptation, function adaptation, etc. The adaptation request can be obtained through the user's interactive input, or it can be obtained from the Internet or other storage media, or through a combination of the two. For example, the adaptation request can be determined by receiving the user's order information. The target to be designed represents the house for which the user needs to design furniture; the functional zoning information of the target to be designed represents the functional zoning of the house, such as master bedroom, guest bedroom, kitchen, study, etc.; the physical size information of the target to be designed represents the size information of the house and the size information of each functional partition; the functional requirements of the target to be designed represent the customer's functional design of the space, such as whether the bedroom can be used as a girl's room or a boy's room, whether the bedroom needs a bathroom or a cloakroom, etc. The functional requirements of the target to be designed may also include requirements for furniture, such as bedside tables, wardrobes, sideboards and other furniture for the whole house; style preference requirements refer to the customer's requirements for decoration styles, such as simple, retro, modern, Japanese and other styles.

[0044] In an optional implementation, the adaptation request may further include: geographic location information of the target to be designed, the geographic location information of the target to be designed includes: customer geographic area information; the spatial data of the target to be designed is obtained in the following manner: obtaining the spatial data of the target to be designed according to the customer geographic area information. The customer geographic area information may include the province, city, town, county, village, community, building, house number, etc. The customer geographic area information may be used to obtain the corresponding spatial data of the target to be designed from the Internet. Obtaining the spatial data of the target to be designed from the Internet through the geographic area information can avoid the problem of low efficiency caused by the traditional room measurement method relying on manual measurement.

[0045] The product adaptation module 402 is also used to process the target space data to be designed at least according to the customization requirements, and generate a design model, which at least includes: a furniture list; specifically, according to the partition and functional division of the target space to be designed, all functional requirements of the target to be designed can be known, and then combined with the customization requirements input or selected by the user, the design model can be preliminarily determined. In addition to the furniture list, the design model can also include the design of the preliminary position of furniture, furniture combination, etc. Therefore, after determining the customization requirements and the target space data to be designed, the corresponding furniture products can be matched according to the customer's requirements for each functional partition and the physical size information of the target space to be designed, and combined into a complete furniture product list according to the product type information and product information, and a preliminary design model is formed according to the product list. For example, the product type information includes sofas, beds, cabinets, chairs, etc., and the product information includes single sofas, L-shaped sofas, single beds, double beds, children's beds, etc. For a specific design target house, the furniture list can be presented in the form of a list or in the form of a picture.

[0046] In an optional specific implementation, the product adaptation module 402 may be implemented by the following units respectively: The product selection unit is configured to determine a list of required furniture upon receiving order information containing customer customization requirements.

[0047] The product combination unit is configured to combine product information into a complete design model according to product type information when determining a list of furniture products.

[0048] The intelligent design module 403 is used to obtain the furniture product prototype data that meets the customization requirements from the product database module 401 at least according to the furniture list, and obtain the adapted furniture product prototype according to the furniture product prototype data and the target space data to be designed, and at least process according to the adapted furniture product prototype and the target space data to be designed to obtain the furniture design rendering. Specifically, the furniture list has been determined by the product adaptation module 402, and the corresponding furniture product prototype can be screened out in the product database according to the furniture list to obtain the furniture product prototype data to be used, and the furniture product prototype data to be used includes the size, process, assembly and other data of the furniture. After the product prototype data is determined, the adapted furniture product can be designed according to the product prototype data. Of course, when performing design adaptation, the design should also be combined with the physical size of each space or partition in the target space to be designed. After the adapted furniture product prototype is determined, the adapted furniture product prototype can be set in the three-dimensional space of the target space to be designed and displayed in the form of a three-dimensional model, so that the user can provide feedback and adjustments based on the preview effect. In addition, in order to better adapt to the needs of users, multiple furniture design renderings can be generated for users to choose.

[0049] In an optional embodiment, the customer's geographic area information is used to call a deep learning algorithm to establish a training model based on the customer's geographic area information to obtain regional customer behavior preference information; the intelligent design module 403 is used to obtain the prototype data of furniture products to be used that meet the customization requirements from the product database module 401 at least based on the furniture list, including: obtaining the prototype data of furniture products to be used that meet the customization requirements from the product database module 401 based on the furniture list and the regional customer behavior preference information. Specifically, the user's preferences and behaviors can be analyzed using big data based on the customer's geographic area information, so as to obtain the behavioral preferences of the specific area where the customer is located, and the customer's geographic area information can be used in subsequent intelligent design for big data analysis. When the regional behavior preferences of the customer are taken into account when obtaining the prototype data of furniture products to be used based on the furniture list, furniture design can be provided to the customer more accurately.

[0050] In an optional embodiment, at least the furniture product prototype and the target space data to be designed are processed to obtain the furniture design renderings, including: obtaining the target functional zoning information to be designed from the target space data to be designed; obtaining the target room data to be designed according to the target functional zoning information to be designed; generating a furniture model using the furniture product prototype and the target room data to be designed; determining the color and material of the furniture model according to the style preference requirements; and rendering the furniture model based on the color and material to obtain the furniture design renderings. Specifically, after determining the adapted furniture product prototype, the adapted furniture product prototype can be 3D rendered in combination with the room zoning and functional zoning of the target space to be designed, so that the furniture design renderings can be displayed in a partitioned manner in the three-dimensional map of the target space to be designed, that is, various furniture is arranged in the three-dimensional map of the target space to be designed, so that the user can intuitively see the design effect. In addition, the process of rendering the color and material of the adapted furniture product prototype can be completed after determining the adapted furniture product prototype, but it can also be completed before determining the adapted furniture product prototype, which can be determined according to actual needs.

[0051] In the specific implementation process, a large amount of historical design data can be learned by calling a deep learning algorithm and a training model can be established to grasp the laws and trends of furniture design. Machine learning algorithms can also be used to analyze user preferences and behaviors to provide users with more personalized design suggestions. Then, based on the provided furniture product prototype data to be used, a design solution that meets user needs and aesthetics is automatically generated, which can meet the personalized needs of users while satisfying aesthetics and practicality. The specific algorithm steps for establishing a training model can be as follows, but the present invention is not limited to this: (1) Obtain data for analysis, including training data, historical data, and test data.

[0052] (2) Check the quality of the data and clean up incomplete and inaccurate data.

[0053] (3) Format, encode, normalize or standardize the data.

[0054] (4) Load the data for analysis, including training data, historical data, and test data.

[0055] (5) Analyze user preferences and behaviors based on data characteristics.

[0056] (6) Select appropriate evaluation indicators to evaluate the performance of the model.

[0057] (7) Use the training data set to train the model and adjust the model parameters to approach the optimal solution.

[0058] (8) Update and optimize the model according to new data or business needs, select features that are useful to the model, reduce data dimensions, and improve the accuracy and generalization ability of the model.

[0059] In a specific example, if the customer's geographical area belongs to Sichuan and Chongqing, it is necessary to analyze the user preferences and behaviors in Sichuan and Chongqing. First, the customer orders belonging to Sichuan and Chongqing are captured, and the customer orders in Sichuan and Chongqing are classified according to the order progress (in progress, canceled, completed, after-sales initiated). According to the decoration style, board materials, craftsmanship and other information of the completed orders, combined with the relevant information of the ongoing orders, the trend changes, distribution changes, and population distribution of the decoration style in Sichuan and Chongqing are analyzed, and then combined with the canceled order data to analyze the possible user behavior in the future. In addition, after the user selects a style preference, if the decoration style or craftsmanship selected by the customer has many after-sales problems, the customer can be recommended to choose another decoration style or craftsmanship based on the analysis.

[0060] The display module 404 is used to display the furniture design renderings in an interactive manner. In order to enhance the adaptability of the furniture design, the display module 404 can also support the interaction between the user and the design scheme, and the user can modify and adjust the scheme to improve customer satisfaction. Therefore, in an optional embodiment, the customized furniture design adaptation system also includes: an interactive feedback module; an interactive feedback module, which is used to receive interactive feedback on the furniture design renderings and regenerate the adaptation request based on the interactive feedback. By receiving user feedback to regenerate the adaptation request, the automatic adjustment of customer customization needs can be completed conveniently and quickly, thereby improving the efficiency of communication with customers and the efficiency of furniture design.

[0061] The customized furniture design adaptation system based on the wooden furniture industrial Internet provided in this embodiment can automatically design and generate furniture design drawings according to the adaptation requests provided by the user, reducing the reliance on the designer's personal experience and skills in the design process, reducing data inaccuracies caused by human errors, and can automatically optimize the design scheme using big data, and can also reduce the time required for adjustments, thereby intelligently generating personalized furniture design schemes, and ultimately providing consumers with satisfactory whole-house customized furniture solutions.

[0062] In the description of the embodiments of the present invention, it should be understood that the terms "upper", "lower", "front", "back", "left", "right", "vertical", "horizontal", "center", "top", "bottom", "top", "bottom", "inside", "outside", "inner side", "outer side" and the like indicate orientations or positional relationships based on the orientations or positional relationships shown in the accompanying drawings, and are only for the convenience of describing the present invention and simplifying the description, rather than indicating or implying that the device or element referred to must have a specific orientation, be constructed and operated in a specific orientation, and therefore cannot be understood as a limitation on the present invention. Among them, "inside" refers to an internal or enclosed area or space. "Periphery" refers to the area surrounding a specific component or a specific area.

[0063] In the description of the embodiments of the present invention, the terms "first", "second", "third", and "fourth" are used for descriptive purposes only and are not to be understood as indicating or implying relative importance or implicitly indicating the number of the indicated technical features. Thus, a feature defined as "first", "second", "third", and "fourth" may explicitly or implicitly include one or more of the features. In the description of the present invention, unless otherwise specified, "multiple" means two or more.

[0064] In the description of the embodiments of the present invention, it should be noted that, unless otherwise clearly specified and limited, the terms "install", "connect", "connect", and "assemble" should be understood in a broad sense, for example, it can be a fixed connection, a detachable connection, or an integral connection; it can be a direct connection, or an indirect connection through an intermediate medium, or it can be the internal communication of two components. For ordinary technicians in this field, the specific meanings of the above terms in the present invention can be understood according to specific circumstances.

[0065] In the description of the embodiments of the present invention, specific features, structures, materials or characteristics may be combined in a suitable manner in any one or more embodiments or examples.

[0066] In the description of the embodiments of the present invention, it should be understood that "-" and "~" represent a range between two values, and the range includes the endpoints. For example: "AB" represents a range greater than or equal to A and less than or equal to B. "A~B" represents a range greater than or equal to A and less than or equal to B.

[0067] In the description of the embodiments of the present invention, the term "and / or" herein is merely a description of the association relationship of associated objects, indicating that three relationships may exist. For example, A and / or B may represent: A exists alone, A and B exist at the same time, and B exists alone. In addition, the character " / " herein generally indicates that the associated objects before and after are in an "or" relationship.

[0068] Although embodiments of the present invention have been shown and described, it will be appreciated by those skilled in the art that various changes, modifications, substitutions and variations may be made to the embodiments without departing from the principles and spirit of the present invention, and that the scope of the present invention is defined by the appended claims and their equivalents.

Claims

1. A customized furniture design and adaptation method based on the wooden furniture industrial Internet, characterized in that: include: Obtaining an adaptation request, the adaptation request at least including: target space data to be designed and customization requirements, wherein the target space data to be designed at least includes: target functional partition information to be designed and target physical size information to be designed, and the customization requirements at least include: target functional requirements and style preference requirements; Processing the target space data to be designed at least according to the customization requirements to generate a design model, wherein the design model at least includes: a furniture list; At least according to the furniture list, obtaining furniture product prototype data to be used that meets the customization requirements from a product database; Obtaining an adapted furniture product prototype according to the furniture product prototype data to be used and the target space data to be designed; Processing at least the adapted furniture product prototype and the target space data to be designed to obtain a furniture design rendering; The furniture design renderings are presented in an interactive manner.

2. The custom furniture design and adaptation method according to claim 1, characterized in that: The method further comprises: Receiving interactive feedback on the furniture design renderings; The adaptation request is regenerated according to the interaction feedback.

3. The custom furniture design and adaptation method according to claim 1, characterized in that: The adaptation request further includes: geographical location information of the target to be designed, and the geographical location information of the target to be designed includes: customer geographical area information; The target spatial data to be designed is obtained in the following manner: the target spatial data to be designed is acquired according to the customer geographical area information.

4. The custom furniture design and adaptation method according to claim 1, characterized in that: The adaptation request further includes: geographical location information of the target to be designed, and the geographical location information of the target to be designed includes: geographical area information of the customer; The method further comprises: invoking a deep learning algorithm to establish a training model according to the customer geographic area information to obtain regional customer behavior preference information; The step of obtaining furniture product prototype data that meets the customization requirements from a product database at least according to the furniture list includes: According to the furniture list and the regional customer behavior preference information, the prototype data of the furniture products to be used that meet the customization requirements are obtained from the product database.

5. The custom furniture design and adaptation method according to claim 1, characterized in that: Processing at least the adapted furniture product prototype and the target space data to be designed to obtain a furniture design rendering includes: Acquire the functional partition information of the target to be designed from the target space data to be designed; Acquire target room data to be designed according to the target functional zoning information to be designed; Generate a furniture model using the adapted furniture product prototype and the target room data to be designed; Determining the color and material of the furniture model according to the style preference requirements; The furniture model is rendered based on the color and the material to obtain the furniture design rendering.

6. The custom furniture design and adaptation method according to any one of claims 1 to 5, characterized in that: The product database is used to store and manage basic data related to furniture design, and the basic data at least includes: raw material information, standard size, processing technology and assembly method.

7. Customized furniture design and adaptation system based on wooden furniture industrial Internet, characterized in that: include: Product database module, product adaptation module, intelligent design module and display module; The product adaptation module is used to obtain an adaptation request, wherein the adaptation request at least includes: target space data to be designed and customization requirements, wherein the target space data to be designed at least includes: target functional partition information to be designed and target physical size information to be designed, and the customization requirements at least include: target functional requirements to be designed and style preference requirements; The product adaptation module is further used to process the target space data to be designed at least according to the customization requirements to generate a design model, and the design model at least includes: a furniture list; The intelligent design module is used to obtain the furniture product prototype data that meets the customization requirements from the product database module at least according to the furniture list, and obtain the matching furniture product prototype according to the furniture product prototype data and the target space data to be designed, and perform processing at least according to the matching furniture product prototype and the target space data to be designed to obtain the furniture design rendering; The display module is used to display the furniture design renderings in an interactive manner.

8. The custom furniture design and adaptation system according to claim 7, characterized in that: The system further comprises: an interactive feedback module; The interactive feedback module is used to receive interactive feedback on the furniture design renderings and regenerate the adaptation request according to the interactive feedback.

9. The custom furniture design and adaptation system according to claim 7, characterized in that: The adaptation request further includes: geographical location information of the target to be designed, and the geographical location information of the target to be designed includes: customer geographical area information; The customer geographic area information is used to call a deep learning algorithm to establish a training model based on the customer geographic area information to obtain regional customer behavior preference information; The intelligent design module is used to obtain the furniture product prototype data to be used that meets the customization requirements from the product database module at least according to the furniture list, including: The intelligent design module obtains the furniture product prototype data to be used that meets the customization requirements from the product database module according to the furniture list and the regional customer behavior preference information.

10. The custom furniture design and adaptation system according to any one of claims 7 to 9, characterized in that: Processing at least the adapted furniture product prototype and the target space data to be designed to obtain a furniture design rendering includes: Acquire the functional partition information of the target to be designed from the target space data to be designed; Acquire target room data to be designed according to the target functional zoning information to be designed; Generate a furniture model using the adapted furniture product prototype and the target room data to be designed; Determining the color and material of the furniture model according to the style preference requirements; The furniture model is rendered based on the color and the material to obtain the furniture design rendering.

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