A method and system for designing environmentally friendly furniture

Abstract

The present invention discloses a method and system for designing environmentally friendly furniture. The method comprises obtaining a first family member of a first user; if the first family member includes a first special member, obtaining a first member portrait of the first special member; obtaining first usage information of a first piece of furniture; obtaining a first usage frequency of the first special member using the first piece of furniture; if the first usage frequency exceeds a first threshold, obtaining a first preset size of the first piece of furniture; obtaining predicted information on the first usage habits of the first special member using the first piece of furniture based on the first member portrait; adjusting the first preset size based on the first usage habit predicted information to obtain first size information; obtaining first board material information; and determining a first processing accuracy of the first board material information based on the first size information. The method solves the technical problem in the prior art that furniture design is not environmentally friendly.

Description

Technical Field

[0001] The present invention relates to the field of furniture design, and in particular to a method and system for designing environmentally friendly furniture. Background Art

[0002] Furniture refers to the essential appliances and facilities that humans need to maintain normal life, engage in production practices, and carry out social activities. Furniture has continuously evolved and innovated with the times, and today it encompasses a wide variety of categories, materials, and uses, forming a vital foundation for establishing work and living spaces.

[0003] However, in the process of implementing the technical solutions of the embodiments of the present application, the inventors of the present application discovered that the above technology has at least the following technical problems:

[0004] The technical problem in the existing technology is that the furniture design is unreasonable and the design precision is low, resulting in material waste. Summary of the Invention

[0005] The embodiments of the present application solve the technical problems in the prior art of unreasonable furniture design and low design accuracy leading to material waste by providing a method and system for environmentally friendly furniture design. It achieves the technical effect of rationally customizing furniture sizes for family members based on big data technology, thereby improving design accuracy and avoiding material waste.

[0006] In view of the above problems, the embodiments of the present application provide a method and system for designing environmentally friendly furniture.

[0007] In the first aspect, the present application also provides a method for designing environmentally friendly furniture, which includes: obtaining a first family member of a first user; determining whether the first family member includes a first special member; if the first family member includes the first special member, obtaining a first member portrait of the first special member; obtaining first usage information of the first furniture; obtaining a first usage frequency of the first special member for the first furniture based on the first usage information; determining whether the first usage frequency exceeds a first threshold; if the first usage frequency exceeds the first threshold, obtaining a first preset size of the first furniture; obtaining first usage habit prediction information of the first special member for the first furniture based on the first member portrait; adjusting the first preset size based on the first usage habit prediction information to obtain first size information; obtaining first board information; and determining a first processing accuracy of the first board information based on the first size information.

[0008] On the other hand, the present application also provides a system for designing environmentally friendly furniture, the system comprising: a first obtaining unit, the first obtaining unit being used to obtain a first family member of a first user; a first judging unit, the first judging unit being used to judge whether the first family member includes a first special member; a second obtaining unit, the second obtaining unit being used to obtain a first member portrait of the first special member if the first family member includes the first special member; a third obtaining unit, the third obtaining unit being used to obtain first usage information of the first furniture; a fourth obtaining unit, the fourth obtaining unit being used to obtain a first usage frequency of the first furniture by the first special member based on the first usage information; a second judging unit, the first judging unit being used to judge whether the first usage frequency exceeds a first threshold; a fifth obtaining unit, the fifth obtaining unit being used to obtain a first preset size of the first furniture if the first usage frequency exceeds the first threshold; a sixth obtaining unit, the sixth obtaining unit being used to obtain first usage habit prediction information of the first special member for the first furniture based on the first member portrait; a seventh obtaining unit, the seventh obtaining unit being used to adjust the first preset size based on the first usage habit prediction information to obtain first size information; an eighth obtaining unit, the eighth obtaining unit being used to obtain first plate material information; and a ninth obtaining unit, the ninth obtaining unit being used to determine a first processing accuracy of the first plate material information based on the first size information.

[0009] In a third aspect, the present invention provides a system for designing environmentally friendly furniture, comprising a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein the processor implements the steps of the method described in the first aspect when executing the program.

[0010] One or more technical solutions provided in the embodiments of this application have at least the following technical effects or advantages:

[0011] Because it is judged whether there is a special member based on the first family member of the first user, when a special member exists, the first member portrait of the first special member is obtained, and the first usage information of the first furniture is obtained according to the first usage information, and the first usage frequency of the first furniture by the first special member is determined, and it is judged whether the first usage frequency exceeds the first threshold. When the first usage frequency exceeds the first threshold, the first preset size of the first furniture is obtained, the usage habit of the first furniture is predicted according to the first member portrait, and the first preset size is adjusted according to the first usage habit prediction information to obtain the first size information. According to the first size information and the first board information, the first processing accuracy of the first furniture is determined, and by adjusting the processing accuracy and processing size in combination with the usage of the first special person, the processing allowance and processing size are reduced, and the utilization rate of the material is improved, thereby reducing the waste of material in processing and achieving the technical effect of environmentally friendly design of furniture.

[0012] The above description is only an overview of the technical solution of the present application. In order to more clearly understand the technical means of the present application, it can be implemented in accordance with the contents of the specification. In order to make the above and other purposes, features and advantages of the present application more obvious and easy to understand, the specific implementation methods of the present application are listed below. BRIEF DESCRIPTION OF THE DRAWINGS

[0013] Figure 1 A schematic flow chart of a method for designing environmentally friendly furniture according to an embodiment of the present application;

[0014] Figure 2 This is a structural diagram of a method for designing environmentally friendly furniture according to an embodiment of the present application;

[0015] Figure 3 This is a schematic diagram of the structure of an exemplary electronic device according to an embodiment of the present application.

[0016] Explanation of the accompanying drawings: first obtaining unit 11, first judging unit 12, second obtaining unit 13, third obtaining unit 14, fourth obtaining unit 15, second judging unit 16, fifth obtaining unit 17, sixth obtaining unit 18, seventh obtaining unit 19, eighth obtaining unit 20, ninth obtaining unit 21, bus 300, receiver 301, processor 302, transmitter 303, memory 304, bus interface 305. DETAILED DESCRIPTION

[0017] The embodiments of the present application solve the technical problems of unreasonable furniture design and low design accuracy leading to material waste in the prior art by providing a method and system for environmentally friendly furniture design. This achieves the technical effect of rationally customizing furniture sizes for family members based on big data technology, thereby improving design accuracy and avoiding material waste. Below, the example embodiments of the present application will be described in detail with reference to the accompanying drawings. Obviously, the described embodiments are only part of the embodiments of the present application, not all of the embodiments of the present application. It should be understood that the present application is not limited to the example embodiments described herein.

[0018] Application Overview

[0019] Furniture refers to a broad category of equipment and facilities essential for maintaining normal human life, engaging in production practices, and carrying out social activities. Furniture has continuously evolved and innovated with the times, and today encompasses a wide variety of categories, materials, and uses. It is a crucial foundation for establishing work and living spaces. However, existing furniture designs suffer from environmentally unfriendly design issues.

[0020] In response to the above technical problems, the overall idea of ​​the technical solution provided by this application is as follows:

[0021] An embodiment of the present application provides a method for designing environmentally friendly furniture, the method comprising: obtaining a first family member of a first user; determining whether the first family member includes a first special member; if the first family member includes the first special member, obtaining a first member portrait of the first special member; obtaining first usage information of a first piece of furniture; obtaining a first usage frequency of the first piece of furniture by the first special member based on the first usage information; determining whether the first usage frequency exceeds a first threshold; if the first usage frequency exceeds the first threshold, obtaining a first preset size of the first piece of furniture; obtaining first usage habit prediction information of the first special member for the first piece of furniture based on the first member portrait; adjusting the first preset size based on the first usage habit prediction information to obtain first size information; obtaining first board material information; and determining a first processing accuracy of the first board material information based on the first size information.

[0022] After introducing the basic principles of the present application, various non-limiting implementation methods of the present application will be specifically introduced in conjunction with the drawings in the specification. Example 1

[0023] like Figure 1 As shown, an embodiment of the present application provides a method for designing environmentally friendly furniture, wherein the method includes:

[0024] Step S100: obtaining a first family member of a first user;

[0025] Specifically, the first family member is information about family members including the first user, and the first user is a user who customizes furniture. With the permission of the first user, the family member information of the first user is obtained by investigating the first user.

[0026] Step S200: determining whether the first family member includes a first special member;

[0027] Specifically, the special member is a member with certain characteristics. For example, the special member can be a member with special age, that is, an elderly person or a child, or a member with special physical condition, that is, a member with hemiplegia or suffering from other diseases. Based on the first family member information of the first user, it is determined whether there is a first special member among the first family members.

[0028] Step S300: If the first family member includes the first special member, obtain a first member portrait of the first special member;

[0029] Specifically, the first member portrait refers to the labeling of user information. It is based on data mining to extract user features and deeply explore user needs. It is a personalized service centered around "users" in the big data era. The labeling model is a product abstracted from information such as user social attributes, living habits, and consumer behavior, and is a collection of user "feature tags." The connotation of the user portrait includes three elements: user attributes, user characteristics, and user tags. It is characterized by labeling, timeliness, and dynamism. When a first special member exists in the first family member, the first member portrait of the first special member is obtained.

[0030] Step S400: obtaining first usage information of a first piece of furniture;

[0031] Step S500: obtaining a first usage frequency of the first furniture by the first special member according to the first usage information;

[0032] Specifically, based on the original intention of the design of the first furniture, the first purpose information of the first furniture is obtained, wherein the purpose includes a main purpose and a secondary purpose, and the main purpose is the most important function of the first furniture. For example, when the first furniture is a wardrobe, the main purpose of the first furniture is to store clothes, and the secondary purpose is to store quilts. The first special member is evaluated based on the first purpose information to obtain a first evaluation result, wherein the first evaluation result includes the first frequency information of the first special member using the first furniture.

[0033] Step S600: determining whether the first usage frequency exceeds a first threshold;

[0034] Step S700: If the first usage frequency exceeds the first threshold, obtaining a first preset size of the first furniture;

[0035] Specifically, the first threshold is a criterion for judging whether the first special member frequently uses the first furniture. A usage frequency is pre-set as the first threshold. When the first usage frequency exceeds the first threshold, it indicates that the first user frequently uses the first furniture. Furthermore, the setting of the first threshold can also be based on the usage of other members of the first furniture, that is, the average usage frequency is obtained according to the usage frequency of all family members, and it is used as the first threshold to judge whether the first usage frequency exceeds the first threshold. If the first usage frequency exceeds the first threshold, the first preset size of the first furniture is obtained, wherein the first preset size is a size customized according to the situation of the first special member, that is, a size designed according to the special features of the first special member. For example, when the first special member is of a special age, that is, the first special member is an elderly person, the design size of the first furniture should be relatively suitable for the elderly.

[0036] Step S800: obtaining predicted information of the first usage habit of the first special member for the first furniture based on the first member portrait;

[0037] Specifically, based on the member portrait of the first special member, the usage habit prediction information of the first furniture is obtained, that is, based on the first portrait information of the first special member, the storage habits and personality of the first member, whether he is used to storing things neatly, etc. are judged, and it is inferred how the first special member will use the first furniture.

[0038] Step S900: adjusting the first preset size according to the first usage habit prediction information to obtain first size information;

[0039] Specifically, based on the first usage habit prediction information of the first special member mentioned above, the first preset size of the first furniture is adjusted to obtain the first size information, that is, based on the usage habits of the first special member for the first furniture, the part that is inconvenient for the first special member to use the first furniture is adjusted to obtain the first design size information of the first furniture that is compatible with the first special member.

[0040] Step S1000: obtaining first plate information;

[0041] Step S1100: determining a first processing accuracy of the first plate material information according to the first size information.

[0042] Specifically, the first board is the board for processing the first furniture, and the first board information includes but is not limited to the material, size, and processing results of the board, that is, the penetration information of toxic substances in the wood processing process such as anti-corrosion, anti-blue discoloration, and anti-insect damage, etc. The processing accuracy of the first board is adjusted according to the first size information and the first board information. The size of the first furniture is reduced or adjusted by combining the usage of the first special member, thereby improving the processing accuracy, reducing the processing allowance, and improving the utilization rate of materials, thereby reducing material waste in processing and achieving the technical effect of environmentally friendly design of furniture.

[0043] Furthermore, the embodiment of the present application also includes:

[0044] Step S810: Obtaining a first usage scenario of the first furniture according to the first usage information;

[0045] Step S820: Obtaining a first behavior pattern of the first special member based on the first member portrait;

[0046] Step S830: obtaining a first usage pattern of the first user for the first piece of furniture in the first usage scenario according to the first behavior pattern;

[0047] Step S840: Determine the first usage habit prediction information based on the first usage pattern.

[0048] Specifically, based on the usage information of the first furniture, the first usage scenario information of the first furniture is obtained. The usage scenario refers to when and under what scenario the first furniture will be used. The first behavior pattern of the first special member obtained based on the portrait of the first member refers to the unique usage behavior pattern of the first furniture based on the particularity of the first special member. That is, when the first special member is an elderly person with poor health and severely impaired behavioral ability, the usage behavior pattern needs to be designed according to the barrier-free design principles for the first furniture. Based on the first behavior pattern, the first usage pattern of the first user for the first furniture in the first usage scenario is obtained, and the usage habit of the first special member for the first furniture is predicted based on the usage pattern.

[0049] Furthermore, the first preset size is adjusted according to the first usage habit prediction information. In this embodiment of the application, step S900 further includes:

[0050] Step S910: obtaining a first usage purpose of the first special member for the first furniture according to the first usage habit prediction information;

[0051] Step S920: Evaluate the technical capability of the first special member to obtain a first technical capability level;

[0052] Step S930: Obtaining a first usage difficulty based on the first technical capability level and the first usage purpose;

[0053] Step S940: Obtaining a first usage difficulty threshold according to the first preset size;

[0054] Step S950: determining whether the first usage difficulty exceeds the first usage difficulty threshold;

[0055] Step S960: If the first usage difficulty exceeds the first usage difficulty threshold, obtaining first adjustment information;

[0056] Step S970: Adjust the first preset size according to the first adjustment information.

[0057] Specifically, the first purpose of use of the first furniture by the first special member is obtained based on the first usage habit prediction information, and the activity ability information of the first special person himself is obtained based on the basic information of the first special member, that is, the first technical ability level of the first special member is obtained, and the difficulty of the first special person to complete the use purpose of the first special member through the first furniture is evaluated, that is, the difficulty of the first special member to complete the first use purpose is evaluated by the first technical ability level to obtain the first usage difficulty, and the first usage difficulty threshold is obtained according to the first preset size; it is judged whether the first usage difficulty exceeds the first usage difficulty threshold; if the first usage difficulty exceeds the first usage difficulty threshold, it indicates that the size of the furniture design at this time is still too difficult for the first special member, and the first adjustment information is obtained at this time; according to the first adjustment information, the first preset size is adjusted to make it easier for the first special member to use the first furniture.

[0058] Furthermore, the technical capability of the first special member is evaluated to obtain a first technical capability level. In this embodiment of the application, step S920 further includes:

[0059] Step S921: obtaining first health status information of the first special member;

[0060] Step S922: obtaining a first damaged part according to the first health condition information;

[0061] Step S923: Obtaining a first movement disorder according to the first damaged part;

[0062] Step S924: obtaining a first usage influencing factor according to the first usage purpose of the first furniture;

[0063] Step S925: Input the first action obstacle and the first usage influencing factor into the first evaluation model, evaluate the first special member's ability to use the first furniture, and determine the first technical ability level.

[0064] Specifically, the first health status of the first special member is obtained through the basic information of the first special member, and the health status includes the physical condition information of the first special member. The first damaged part of the first special member is obtained according to the first health status of the first special member, and the first special member is evaluated according to the damage condition of the damaged part to obtain first mobility disorder information. According to the first use purpose of the first furniture, the first usage influencing factor is obtained; the first mobility disorder and the first usage influencing factor are input into the first evaluation model, the first special member's ability to use the first furniture is evaluated, and the first technical capability level is determined.

[0065] Furthermore, the first evaluation model can be a neural network model in machine learning. By training with a large amount of training data, the first action obstacle and the first usage influencing factor are input into the neural network model to obtain the first technical capability level.

[0066] Furthermore, the training process also includes a supervised learning process. Each set of supervised data includes the first mobility impairment, the first usage influencing factor, and identification information indicating the technical capability level. The first mobility impairment and the first usage influencing factor are input into the neural network model. Based on the identification information indicating the technical capability level, the neural network model continuously self-corrects and adjusts until the output result is consistent with the identification information. This terminates the supervised learning of the current set of data and moves on to the next set of supervised learning. When the output information of the neural network model reaches a predetermined accuracy rate / reaches a convergence state, the supervised learning process ends. Through supervised learning of the neural network model, the neural network model processes the input information more accurately, thereby obtaining a more accurate first technical capability level, laying a solid foundation for subsequent accurate adjustment of furniture size and improving user experience.

[0067] Furthermore, the embodiment of the present application also includes:

[0068] Step S9251: obtaining information on substances released from each board of the first furniture;

[0069] Step S9252: determining, based on the first health status information, the impact of each of the released substance information on the first special member;

[0070] Step S9253: Obtain a first security impact threshold;

[0071] Step S9254: determining whether each impact degree satisfies the first security impact degree threshold, and obtaining a first determination result;

[0072] Step S9255: Screen the plates according to the first judgment result to obtain the first plate information.

[0073] Specifically, to design environmentally friendly furniture, it is necessary to control the content of toxic substances in the product. The determination of the released substance information includes but is not limited to activated carbon adsorption and carbon disulfide desorption. According to the first health status information of the first special member, the substances released by each board of the first furniture and the impact information of the content of different substances on the first special member are judged. According to the health status information of the first special member, the first safety impact threshold is obtained. The relationship between the impact of the different substances on the first special member and the first safety impact threshold is judged. The boards that meet the first safety impact are retained, and the boards that do not meet the first safety impact threshold are excluded to obtain the first board information. By determining the board information, the harmful components of the first furniture are within a controllable range for the first special member, thereby achieving the technical effect of environmentally friendly design of furniture.

[0074] Furthermore, the embodiment of the present application also includes:

[0075] Step S9256: Obtaining the first economic capability level of the first user;

[0076] Step S9257: Obtaining the first consumption preference of the first user;

[0077] Step S9258: Obtaining second adjustment information based on the first economic ability level and the first consumption preference;

[0078] Step S9259: Adjust the first plate information according to the second adjustment information.

[0079] Specifically, the first economic ability level of the first user is obtained by conducting an economic ability assessment of the first user based on the first user's basic information and with the first user's permission. The first user's consumption preferences include habits, which are caused by the standardization of consumer behavior. Frequent consumption of certain products or frequent adoption of certain consumption methods will produce a directional result in the consumer's psychology. The consumption preferences of the first user are obtained, and the selection result of the first board material information is adjusted based on the first user's first economic ability level and the first consumption preferences, so that the selection result of the board material is more consistent with the first user's consumption level and consumption preferences.

[0080] Furthermore, the embodiment of the present application also includes:

[0081] Step S92551: Obtaining a first load-bearing requirement of the first furniture according to the first usage purpose;

[0082] Step S92552: Obtaining a first mechanical property requirement of the first plate according to the first load-bearing requirement;

[0083] Step S92553: Obtaining a first placement position of the first furniture;

[0084] Step S92554: Obtaining a first ventilation condition and a first lighting condition at the first placement position;

[0085] Step S92555: Obtaining a first processing requirement for the first plate according to the first ventilation condition and the first lighting condition;

[0086] Step S92556: Obtain third adjustment information according to the first mechanical property requirement and the first processing requirement;

[0087] Step S92557: Adjust the first plate information according to the third adjustment information.

[0088] Specifically, based on the purpose of use of the first furniture, a first load-bearing requirement of the first furniture is obtained, and the load-bearing requirement is the maximum load-bearing requirement of the first furniture during use. Based on the first load-bearing requirement, the design structure of the first furniture is evaluated to obtain a first mechanical property requirement of the first board of the first furniture. Based on the placement of the first furniture, first placement position information of the first furniture is obtained. Based on the basic information of the first user, first ventilation conditions and first lighting conditions at the first placement position are obtained. Based on the lighting duration of the first furniture and the ventilation information, first processing technology requirement information of the first furniture during the production process is obtained. Based on the first mechanical property requirement and the first processing technology requirement, third adjustment information is obtained. Based on the third adjustment information, the requirements of the first board are adjusted so that the processing result and the quality of the board can meet the first mechanical property requirement and the first processing technology requirement.

[0089] In summary, the environmentally friendly furniture design method and system provided by the embodiments of the present application have the following technical effects:

[0090] 1. Due to the method of judging whether there is a special member based on the first family member of the first user, when a special member exists, a first member portrait of the first special member is obtained, and based on the first usage information of the first furniture, a first usage frequency of the first special member for the first furniture is obtained according to the first usage information, and it is judged whether the first usage frequency exceeds a first threshold value. When the first usage frequency exceeds the first threshold value, a first preset size of the first furniture is obtained, and a usage habit of the first furniture is predicted based on the first member portrait. The first preset size is adjusted according to the first usage habit prediction information to obtain first size information, and a first processing accuracy of the first furniture is determined based on the first size information and the first board material information. By adjusting the processing accuracy and processing size in combination with the usage of the first special person, the processing allowance and processing size are reduced, and the utilization rate of the material is improved, thereby reducing material waste in processing and achieving the technical effect of environmentally friendly design of furniture.

[0091] 2. By reducing or adjusting the size of the first furniture in combination with the usage of the first special member, the processing accuracy is improved, the processing allowance is reduced, and the utilization rate of materials is improved, thereby reducing material waste in processing and achieving the technical effect of environmentally friendly design of furniture.

[0092] 3. Due to the adoption of a method of further refining and determining the processing of the board information, the harmful components of the first furniture are within a controllable range for the first special member, thereby achieving the technical effect of environmentally friendly design of furniture. Example 2

[0093] Based on the same inventive concept as the method for designing environmentally friendly furniture in the aforementioned embodiment, the present invention also provides a system for designing environmentally friendly furniture, such as Figure 2 As shown, the system includes:

[0094] A first obtaining unit 11, configured to obtain a first family member of a first user;

[0095] a first judging unit 12, configured to judge whether the first family members include a first special member;

[0096] a second obtaining unit 13, configured to obtain a first member portrait of the first special member if the first family members include the first special member;

[0097] a third obtaining unit 14, the third obtaining unit 14 being configured to obtain first usage information of the first piece of furniture;

[0098] A fourth obtaining unit 15 is configured to obtain a first usage frequency of the first furniture by the first special member according to the first usage information;

[0099] a second determining unit 16, configured to determine whether the first usage frequency exceeds a first threshold;

[0100] a fifth obtaining unit 17, configured to obtain a first preset size of the first piece of furniture if the first usage frequency exceeds the first threshold;

[0101] a sixth obtaining unit 18, configured to obtain predicted information of the first usage habit of the first special member for the first piece of furniture based on the first member portrait;

[0102] a seventh obtaining unit 19, configured to adjust the first preset size according to the first usage habit prediction information to obtain first size information;

[0103] An eighth obtaining unit 20, wherein the eighth obtaining unit 20 is configured to obtain first plate information;

[0104] A ninth obtaining unit 21 is configured to determine a first processing accuracy of the first plate material information based on the first size information.

[0105] Furthermore, the system further comprises:

[0106] a tenth obtaining unit, configured to obtain a first usage scenario of the first furniture according to the first usage information;

[0107] an eleventh obtaining unit, configured to obtain a first behavior pattern of the first special member according to the first member portrait;

[0108] a twelfth obtaining unit, configured to obtain, based on the first behavior pattern, a first usage pattern of the first user for the first piece of furniture in the first usage scenario;

[0109] A first determining unit is configured to determine the first usage habit prediction information based on the first usage pattern.

[0110] Furthermore, the system further comprises:

[0111] a thirteenth obtaining unit, configured to obtain a first usage purpose of the first special member for the first piece of furniture based on the first usage habit prediction information;

[0112] a fourteenth obtaining unit, configured to evaluate the technical capability of the first special member and obtain a first technical capability level;

[0113] a fifteenth obtaining unit, configured to obtain a first usage difficulty based on the first technical capability level and the first usage purpose;

[0114] a sixteenth obtaining unit, configured to obtain a first usage difficulty threshold according to the first preset size;

[0115] a third judgment unit, configured to judge whether the first usage difficulty exceeds a first usage difficulty threshold;

[0116] a seventeenth obtaining unit, configured to obtain first adjustment information if the first usage difficulty exceeds the first usage difficulty threshold;

[0117] A first adjustment unit is configured to adjust the first preset size according to the first adjustment information.

[0118] Furthermore, the system further comprises:

[0119] an eighteenth obtaining unit, configured to obtain first health status information of the first special member;

[0120] a nineteenth obtaining unit, configured to obtain a first damaged part according to the first health condition information;

[0121] a twentieth obtaining unit, configured to obtain a first movement disorder according to the first damaged part;

[0122] a twenty-first obtaining unit, configured to obtain a first usage influencing factor according to the first usage purpose of the first furniture;

[0123] The first input unit is used to input the first mobility obstacle and the first usage influencing factor into a first evaluation model, evaluate the first special member's ability to use the first furniture, and determine the first technical ability level.

[0124] Furthermore, the system further comprises:

[0125] A twenty-second obtaining unit, the twenty-second obtaining unit being used to obtain information on each released substance of each board material of the first furniture;

[0126] a fourth judgment unit, configured to judge, based on the first health status information, respective degrees of influence of the respective released substance information on the first special member;

[0127] A twenty-third obtaining unit, the twenty-third obtaining unit being configured to obtain a first security impact threshold;

[0128] a fifth judgment unit, configured to judge whether each of the impacts satisfies the first security impact threshold, and obtain a first judgment result;

[0129] The twenty-fourth obtaining unit is used to screen the plates according to the first judgment result to obtain the first plate information.

[0130] Furthermore, the system further comprises:

[0131] a twenty-fifth obtaining unit, configured to obtain a first economic capability level of the first user;

[0132] a twenty-sixth obtaining unit, configured to obtain a first consumption preference of the first user;

[0133] a twenty-seventh obtaining unit, configured to obtain second adjustment information according to the first economic capability level and the first consumption preference;

[0134] The second adjustment unit is used to adjust the first plate information according to the second adjustment information.

[0135] Furthermore, the system further comprises:

[0136] a twenty-eighth obtaining unit, the twenty-eighth obtaining unit being used to obtain a first load-bearing requirement of the first piece of furniture according to the first purpose of use;

[0137] a twenty-ninth obtaining unit, configured to obtain a first mechanical property requirement of the first plate according to the first load-bearing requirement;

[0138] a 30th obtaining unit, configured to obtain a first placement position of the first furniture;

[0139] a thirty-first obtaining unit, configured to obtain a first ventilation condition and a first lighting condition at the first placement position;

[0140] a thirty-second obtaining unit, configured to obtain a first processing requirement for the first plate according to the first ventilation condition and the first lighting condition;

[0141] a thirty-third obtaining unit, configured to obtain third adjustment information according to the first mechanical property requirement and the first processing requirement;

[0142] The third adjustment unit is used to adjust the first plate information according to the third adjustment information.

[0143] The foregoing Figure 1 The various variations and specific examples of the method for designing an environmentally friendly furniture in Example 1 are also applicable to the system for designing an environmentally friendly furniture in this embodiment. Through the above detailed description of the method for designing an environmentally friendly furniture, those skilled in the art can clearly understand the implementation method of the system for designing an environmentally friendly furniture in this embodiment, so for the sake of brevity of the specification, it will not be described in detail here.

[0144] Exemplary electronic devices

[0145] Reference below Figure 3 To describe the electronic device of the embodiment of the present application.

[0146] Figure 3 The figure shows a schematic structural diagram of an electronic device according to an embodiment of the present application.

[0147] Based on the inventive concept of the method for designing environmentally friendly furniture in the aforementioned embodiment, the present invention also provides a system for designing environmentally friendly furniture, on which a computer program is stored, which, when executed by a processor, implements the steps of any method of the method for designing environmentally friendly furniture described above.

[0148] Among them, Figure 3 In the present invention, a bus architecture (represented by bus 300) is shown. Bus 300 may include any number of interconnected buses and bridges. Bus 300 links various circuits, including one or more processors represented by processor 302 and memory represented by memory 304. Bus 300 may also link various other circuits, such as peripherals, voltage regulators, and power management circuits. These are well known in the art and, therefore, will not be described further herein. Bus interface 305 provides an interface between bus 300 and receiver 301 and transmitter 303. Receiver 301 and transmitter 303 may be the same component, namely a transceiver, which provides a means for communicating with various other systems over a transmission medium.

[0149] The processor 302 is responsible for managing the bus 300 and general processing, while the memory 304 may be used to store data used by the processor 302 when performing operations.

[0150] An embodiment of the present invention provides a method for designing environmentally friendly furniture, the method comprising: obtaining a first family member of a first user; determining whether the first family member includes a first special member; if the first family member includes the first special member, obtaining a first member portrait of the first special member; obtaining first usage information of a first piece of furniture; obtaining a first usage frequency of the first piece of furniture by the first special member based on the first usage information; determining whether the first usage frequency exceeds a first threshold; if the first usage frequency exceeds the first threshold, obtaining a first preset size of the first piece of furniture; obtaining predicted information on the first usage habits of the first special member for the first piece of furniture based on the first member portrait; adjusting the first preset size based on the first usage habit prediction information to obtain first size information; obtaining first board material information; and determining a first processing accuracy of the first board material information based on the first size information. This method solves the technical problem of unreasonable furniture design and low design accuracy leading to material waste in the prior art, and achieves the technical effect of rationally customizing furniture sizes for family members based on big data technology, thereby improving design accuracy and avoiding material waste.

[0151] Those skilled in the art will appreciate that embodiments of the present invention may be provided as methods, systems, or computer program products. Thus, the present invention may take the form of an entirely hardware embodiment, an entirely software embodiment, or an embodiment combining software and hardware aspects. Furthermore, the present invention may take the form of a computer program product implemented on one or more computer-usable storage media (including but not limited to magnetic disk storage, CD-ROM, optical storage, etc.) containing computer-usable program code.

[0152] The present invention is described with reference to flowcharts and / or block diagrams of methods, devices (systems), and computer program products according to embodiments of the present invention. It should be understood that each process and / or block in the flowcharts and / or block diagrams, as well as combinations of processes and / or blocks in the flowcharts and / or block diagrams, can be implemented by computer program instructions. These computer program instructions can be provided to a processor of a general-purpose computer, a special-purpose computer, an embedded processor, or other programmable data processing device to produce a machine, so that the instructions executed by the processor of the computer or other programmable data processing device generate instructions for implementing the processes in the flowcharts and / or block diagrams. Figure 1 a process or multiple processes and / or boxes Figure 1 A system that specifies the functions of a box or boxes.

[0153] These computer program instructions may also be stored in a computer-readable memory that can direct a computer or other programmable data processing device to work in a specific manner, so that the instructions stored in the computer-readable memory produce an article of manufacture including an instruction system that is implemented in the process. Figure 1 a process or multiple processes and / or boxes Figure 1 The function specified in one or more boxes.

[0154] These computer program instructions can also be loaded onto a computer or other programmable data processing device so that a series of operational steps are executed on the computer or other programmable device to produce a computer-implemented process, thereby providing the instructions executed on the computer or other programmable device for implementing the process. Figure 1 a process or multiple processes and / or boxes Figure 1 The present invention is described in detail below. ...

[0155] Obviously, those skilled in the art may make various changes and modifications to the present invention without departing from the spirit and scope of the present invention. Thus, if such changes and modifications fall within the scope of the claims and their equivalents, the present invention is intended to include such changes and modifications.

Claims

1. A method for designing environmentally friendly furniture, wherein: The method comprises: Get the first family member of the first user; determining whether the first family members include a first special member; If the first family member includes the first special member, obtaining a first member portrait of the first special member; Get the first use information of the first furniture; obtaining a first usage frequency of the first furniture by the first special member according to the first usage information; determining whether the first usage frequency exceeds a first threshold; If the first usage frequency exceeds the first threshold, obtaining a first preset size of the first furniture; Obtaining predicted information of a first usage habit of the first special member with respect to the first furniture based on the first member portrait; Adjusting the first preset size according to the first usage habit prediction information to obtain first size information; Obtaining first plate information; determining a first processing accuracy of the first plate information based on the first size information; The adjusting the first preset size according to the first usage habit prediction information further includes: Obtaining a first usage purpose of the first piece of furniture by the first special member based on the first usage habit prediction information; Assessing the technical capability of the first special member to obtain a first technical capability level; Obtaining a first usage difficulty based on the first technical capability level and the first usage purpose; Obtaining a first usage difficulty threshold according to the first preset size; determining whether the first usage difficulty exceeds a first usage difficulty threshold; If the first usage difficulty exceeds the first usage difficulty threshold, obtaining first adjustment information; The first preset size is adjusted according to the first adjustment information.

2. The method according to claim 1, wherein The method comprises: Obtaining a first usage scenario of the first furniture according to the first usage information; Obtaining a first behavior pattern of the first special member based on the first member portrait; Obtaining, based on the first behavior pattern, a first usage pattern of the first user for the first piece of furniture in the first usage scenario; The first usage habit prediction information is determined based on the first usage pattern.

3. The method according to claim 1, wherein The evaluating the technical capability of the first special member to obtain the first technical capability level further includes: Obtaining first health status information of the first special member; Obtaining a first damaged part according to the first health condition information; Obtaining a first movement disorder according to the first damaged part; Obtaining a first usage influencing factor according to the first usage purpose of the first furniture; The first mobility obstacle and the first usage influencing factor are input into a first evaluation model, the ability of the first special member to use the first furniture is evaluated, and the first technical ability level is determined.

4. The method according to claim 3, wherein: The method comprises: Obtaining information on substances released from each board material of the first furniture; Determining, based on the first health status information, respective impacts of the respective released substance information on the first special member; Obtaining a first security impact threshold; Determine whether each of the impacts meets the first security impact threshold, and obtain a first determination result; The plates are screened according to the first judgment result to obtain the first plate information.

5. The method according to claim 4, wherein: The method comprises: Obtaining a first economic ability level of the first user; Obtaining a first consumption preference of the first user; Obtaining second adjustment information based on the first economic ability level and the first consumption preference; Adjust the first plate information according to the second adjustment information.

6. The method of claim 3, wherein: The method comprises: Obtaining a first load-bearing requirement of the first furniture according to the first usage purpose; Obtaining a first mechanical property requirement of the first plate based on the first load-bearing requirement; Obtaining a first placement position of the first furniture; Obtaining a first ventilation condition and a first lighting condition at the first placement position; Obtaining a first processing requirement for the first plate according to the first ventilation condition and the first lighting condition; Obtaining third adjustment information according to the first mechanical property requirement and the first processing requirement; The first plate material information is adjusted according to the third adjustment information.

7. A system for designing environmentally friendly furniture, wherein: The system comprises: a first obtaining unit, configured to obtain a first family member of a first user; a first judging unit, configured to judge whether the first family members include a first special member; a second obtaining unit, configured to obtain a first member portrait of the first special member if the first family members include the first special member; a third obtaining unit, configured to obtain first usage information of the first piece of furniture; a fourth obtaining unit, configured to obtain a first usage frequency of the first furniture by the first special member according to the first usage information; a second judging unit, the first judging unit being configured to judge whether the first usage frequency exceeds a first threshold; a fifth obtaining unit, configured to obtain a first preset size of the first piece of furniture if the first usage frequency exceeds the first threshold; a sixth obtaining unit, configured to obtain predicted information of a first usage habit of the first special member with respect to the first piece of furniture based on the portrait of the first member; a seventh obtaining unit, configured to adjust the first preset size according to the first usage habit prediction information to obtain first size information; an eighth obtaining unit, configured to obtain first plate information; a ninth obtaining unit, configured to determine a first processing accuracy of the first plate material information according to the first size information; The system further comprises: a thirteenth obtaining unit, configured to obtain a first usage purpose of the first special member for the first piece of furniture based on the first usage habit prediction information; a fourteenth obtaining unit, configured to evaluate the technical capability of the first special member and obtain a first technical capability level; a fifteenth obtaining unit, configured to obtain a first usage difficulty based on the first technical capability level and the first usage purpose; a sixteenth obtaining unit, configured to obtain a first usage difficulty threshold according to the first preset size; a third judgment unit, configured to judge whether the first usage difficulty exceeds a first usage difficulty threshold; a seventeenth obtaining unit, configured to obtain first adjustment information if the first usage difficulty exceeds the first usage difficulty threshold; A first adjustment unit is configured to adjust the first preset size according to the first adjustment information.

8. A system for designing environmentally friendly furniture, comprising a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein: When the processor executes the program, the steps of the method according to any one of claims 1 to 6 are implemented.

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