Model construction method and system based on indoor decoration interactive design

Abstract

The invention discloses a model construction method and system based on indoor decoration interactive design, and relates to the technical field of intelligent design, and the method comprises the steps: generating a diversified design sketch through an AI generation tool, collecting customer feedback data, determining customer demands, and generating a basic design scheme; creating an interactive ecology home 3D model by using a parameterized design tool, and adjusting a basic design scheme according to customer requirements; based on the adjusted basic design scheme, optimizing visual requirements of the basic design scheme through a V-Ray rendering engine; based on visual requirements, acoustic simulation software and a sensor are utilized to analyze spatial acoustic performance, ecological integration is completed, and intelligent control and AR interaction of an ecological environment are performed in combination with IoT and a user interface. According to the method, the interactive ecology home 3D model is combined with the AI generation tool, the parametric design, the V-Ray rendering engine, the biological feedback technology, the acoustic simulation software and the IoT and AR application, so that an efficient, flexible and personalized design process is realized.

Description

Technical Field

[0001] The present invention relates to the field of intelligent design technology, and in particular to a model building method and system based on interactive design of interior decoration. Background Art

[0002] In recent years, with the widespread application of intelligent technology and digital tools in the fields of architecture and interior design, the design methods and tools of interior decoration have developed rapidly; traditional design methods have gradually been replaced by computational design, parametric modeling and artificial intelligence generation tools, making the design process more efficient and personalized; the introduction of technologies such as computer-aided design CAD, virtual reality VR and augmented reality AR enables designers to preview and adjust design plans in a virtual environment, improving the accuracy of the design and user experience; however, the existing technology still has some shortcomings, such as the lack of real-time customer feedback mechanism in the design process, making it difficult to achieve true personalized customization, as well as insufficient acoustic performance and ecological integration, resulting in poor indoor environmental comfort.

[0003] Traditional design methods lack a real-time customer feedback mechanism, which makes it difficult to achieve personalized customization and it is difficult for design solutions to fully meet customer needs. In addition, existing technologies are lacking in ecological integration and intelligent control, especially in acoustic performance and environmental monitoring, which leads to poor indoor environmental comfort. At the same time, the data collection and analysis methods in the design process are insufficient, and it is impossible to fully capture and apply customer preferences and feedback information, which limits the optimization and adjustment of design solutions. These deficiencies affect the intelligence and interactivity of the design and restrict the improvement of user experience. Summary of the invention

[0004] In view of the above existing problems, the present invention is proposed.

[0005] Therefore, the present invention provides a model construction method based on interactive design of interior decoration to solve the problem of combining eco-friendliness with intelligent control.

[0006] In order to solve the above technical problems, the present invention provides the following technical solutions:

[0007] In a first aspect, the present invention provides a model building method based on interactive design of interior decoration, which includes generating diversified design sketches through AI generation tools, collecting customer feedback data, clarifying customer needs, and generating basic design plans; using parametric design tools to create an interactive ecological home 3D model, and adjusting the basic design plan according to customer needs; based on the adjusted basic design plan, optimizing the visual needs of the basic design plan through the V-Ray rendering engine; based on visual needs, using acoustic simulation software and sensors to analyze the acoustic performance of the space, completing ecological integration, and combining IoT and user interface to perform intelligent control and AR interaction of the ecological environment.

[0008] As a preferred solution of the model building method based on interactive design of interior decoration described in the present invention, the diversified design sketches include space layout sketches, style design sketches, material and texture sketches, color scheme sketches, furniture and decorative element sketches, functional design sketches and interactive design sketches.

[0009] As a preferred solution of the model building method based on interactive design of interior decoration described in the present invention, the customer feedback data includes design preference data, interactive behavior data, satisfaction score data, design practicality data, improvement suggestion data, style trend data and stay experience data.

[0010] As a preferred solution of the model building method based on interactive design of interior decoration described in the present invention, wherein: the interactive ecological house 3D model is created by using a parametric design tool, and the basic design scheme is adjusted according to customer needs. The specific steps are:

[0011] Define the interactive eco-house 3D model input as diversified sketches and output as optimized adjustments;

[0012] Import various sketches into Grasshopper;

[0013] Create walls, floors and roofs in Rhino as the basic house geometry;

[0014] Generate design preferences, functional requirements, visual requirements, acoustic effect requirements, ecological environment, interactive experience and improvement suggestions as user needs through customer feedback data;

[0015] Divide the room layout and main functional areas and define the house parameters according to the diverse sketches and user needs;

[0016] Define parametric relationships using Grasshopper and create control points and sliders in Grasshopper;

[0017] Add doors, windows and stairs as house structural elements according to user needs;

[0018] Define house material and texture initialization settings;

[0019] Using Grasshopper plug-in, structural optimization and environmental analysis are performed to generate the optimal ecological environment, which is expressed as:

[0020]

[0021] Among them, E opt is the optimal ecological environment index, opt is the optimized value, n is the number of ecological configurations in the ecological environment, Gi is the green coverage rate of the i-th ecological configuration, P i is the light intensity of the ith ecological configuration, H i is the air humidity contribution value of the i-th ecological configuration, O i is the horizontal distance between the ith ecological configuration and the furniture, D i is the shortest distance between the i-th ecological configuration and the furniture, i is the index of the ecological configuration;

[0022] Add adjustable devices to the interactive eco-house 3D model for AR environment interaction;

[0023] Define plant walls and micro water circulation as ecological environment layout, and connect them with AR environment interaction;

[0024] The interactive eco-house 3D model is displayed through the AR environment to collect user feedback and adjust the basic design plan based on user feedback.

[0025] As a preferred solution of the model construction method based on interactive design of interior decoration described in the present invention, wherein: the step of adding an adjustable device to the interactive ecological house 3D model for AR environment interaction is as follows:

[0026] Add furniture and decorations to the interactive eco-home 3D model;

[0027] In Grasshopper, set the parametric control points of furniture and decorations as interactive configurations for the AR environment;

[0028] Convert the AR environment interaction configuration into FBX format and import it into the AR environment interaction;

[0029] Create a new scene in the AR environment interaction and configure the AR device to interact with the AR environment;

[0030] Use Unity scripting tools to write AR interaction scripts and establish interaction triggers;

[0031] In the AR environment interaction, users select furniture and adjust the position of furniture through the touch of AR devices.

[0032] As a preferred solution of the model building method based on interactive design of interior decoration described in the present invention, wherein: based on the adjusted basic design scheme, the visual requirements of the basic design scheme are optimized by the V-Ray rendering engine, and the specific steps are:

[0033] Import the constructed interactive ecological house 3D model into the V-Ray rendering engine;

[0034] Set up the material library in the V-Ray rendering engine and apply it to the interactive ecological house 3D model;

[0035] The V-Ray rendering engine is used to simulate the performance of different materials under natural light and artificial light, and the lighting impact value is obtained. The expression is:

[0036]

[0037] Among them, I r is the illumination impact value, r is the light intensity after the light is reflected by the surface, I t is the incident light intensity, t is the light intensity on the surface, k d is the diffuse reflection coefficient, d is the proportional coefficient of the diffuse reflection of the incident light by the material surface, k s is the specular reflection coefficient, s is the proportional coefficient of the material surface for specular reflection of incident light, I a is the ambient light intensity, k a is the ambient light reflection coefficient, a is the ambient light, is the incident light direction, is the normal vector, is the direction of reflected light, is the sight direction, m is the specular index;

[0038] Install biofeedback sensors on the user's body surface to capture user feedback data;

[0039] Biofeedback sensors transmit user feedback data to the AR environment interaction through wireless networks;

[0040] AR environment interaction adjusts the materials simulated by the V-Ray rendering engine in real time based on user feedback data and lighting impact values, and updates the design rendering effects.

[0041] As a preferred solution of the model construction method based on interactive design of interior decoration described in the present invention, the acoustic simulation software and sensors are used to analyze the acoustic performance of the space based on visual needs, complete ecological integration, and combine IoT and user interface to perform intelligent control and AR interaction of the ecological environment. The specific steps are as follows:

[0042] Identify acoustic zones in the interactive Eco-House 3D model;

[0043] Add sound absorbing panels, adjustable soundproof walls and acoustic ceilings as variable acoustic structures in acoustic areas;

[0044] Choose sound-absorbing cotton, polyester fiber sound-absorbing board, sound-absorbing foam and wooden sound-absorbing board as high-density sound-absorbing materials;

[0045] Choose metal sheets, glass, stone and tiles as reflective materials;

[0046] Integrate high-density sound-absorbing and reflective materials into variable acoustic structures;

[0047] Use Odeon to simulate and test the acoustic design in the interactive eco-house 3D model to optimize the acoustic environment;

[0048] Install microphone array sensors, ambient noise sensors, and sound pressure sensors in the interactive eco-house 3D model to monitor sound characteristics;

[0049] connecting a microphone array sensor, an ambient noise sensor, and a sound pressure sensor to a variable acoustic structure;

[0050] Dynamically adjust the variable acoustic structure based on the monitored sound characteristics;

[0051] Collect acoustic data in real time from microphone array sensors, ambient noise sensors, and sound pressure sensors;

[0052] The acoustic data is standardized and analyzed by signal processing algorithm to obtain the sound absorption coefficient, which is expressed as:

[0053]

[0054] Among them, α is the sound absorption coefficient, Q x is the incident sound energy, Q b is the reflected sound energy, e -2uf / c is the attenuation factor of sound waves when propagating in the material, e is a natural constant, u is the material thickness, f is the sound wave frequency, and c is the speed of sound;

[0055] Evaluate the performance of high-density sound-absorbing and reflective materials in variable acoustic structures based on the calculated sound absorption coefficients;

[0056] Configure IoT control equipment in the interactive eco-home 3D model, integrating temperature and humidity sensors, light sensors, and air quality sensors;

[0057] Monitor indoor temperature and humidity through temperature and humidity sensors, monitor indoor light intensity through light sensors, and monitor the concentration of pollutants in the air through air quality sensors;

[0058] Intelligent control is performed by integrating ecological environment parameters monitored by temperature and humidity sensors, light sensors, and air quality sensors;

[0059] Use HTML, CSS, JavaScript, and React to develop a user interface, interact with the interactive eco-house 3D model through touch, voice, and gestures, and apply the user interface to AR environment interaction.

[0060] In the second aspect, the present invention provides a model building system based on interactive design of interior decoration, including an acquisition module, a creation module, an optimization module and an interaction module; the acquisition module is used to generate diversified design sketches through AI generation tools, and collect customer feedback data, clarify customer needs, and generate basic design plans; the creation module is used to create an interactive ecological house 3D model using parametric design tools, and adjust the basic design plan according to customer needs; the optimization module is used to optimize the visual requirements of the basic design plan through the V-Ray rendering engine based on the adjusted basic design plan; the interaction module is used to analyze the acoustic performance of the space based on visual needs, using acoustic simulation software and sensors, complete ecological integration, and combine IoT and user interface for intelligent control and AR interaction of the ecological environment.

[0061] In a third aspect, the present invention provides a computer device comprising a memory and a processor, wherein the memory stores a computer program, wherein: when the computer program is executed by the processor, any step of the model building method based on interactive design of interior decoration as described in the first aspect of the present invention is implemented.

[0062] In a fourth aspect, the present invention provides a computer-readable storage medium having a computer program stored thereon, wherein: when the computer program is executed by a processor, any step of the model building method based on interactive design of interior decoration as described in the first aspect of the present invention is implemented.

[0063] The beneficial effects of the present invention are as follows: the present invention realizes an efficient, flexible and personalized design process through the interactive ecological home 3D model combined with AI generation tools, parametric design, V-Ray rendering engine, biofeedback technology, acoustic simulation software and IoT and AR applications; optimizes the design scheme and improves user satisfaction through customer feedback data and biofeedback data; improves the comfort of the indoor environment through acoustic performance analysis and ecological integration; AR environment interaction and IoT control realize real-time monitoring and interactive adjustment of the intelligent ecology; on the whole, the interactive ecological home 3D model significantly improves the overall level of interior decoration design and meets the needs of modern intelligent and ecological design. BRIEF DESCRIPTION OF THE DRAWINGS

[0064] In order to more clearly illustrate the technical solutions of the embodiments of the present invention, the accompanying drawings required for use in the description of the embodiments will be briefly introduced below. Obviously, the accompanying drawings described below are only some embodiments of the present invention. For ordinary technicians in this field, other accompanying drawings can be obtained based on these accompanying drawings without paying creative work.

[0065] Figure 1 This is a flow chart of the model building method based on interactive design of interior decoration in Example 1.

[0066] Figure 2 This is a module diagram of the model building system based on interactive design of interior decoration in Example 1. DETAILED DESCRIPTION

[0067] In order to make the above-mentioned objects, features and advantages of the present invention more obvious and easy to understand, the specific implementation methods of the present invention are described in detail below in conjunction with the accompanying drawings.

[0068] In the following description, many specific details are set forth to facilitate a full understanding of the present invention, but the present invention may also be implemented in other ways different from those described herein, and those skilled in the art may make similar generalizations without violating the connotation of the present invention. Therefore, the present invention is not limited to the specific embodiments disclosed below.

[0069] Secondly, the term "one embodiment" or "embodiment" as used herein refers to a specific feature, structure, or characteristic that may be included in at least one implementation of the present invention. The term "in one embodiment" that appears in different places in this specification does not necessarily refer to the same embodiment, nor does it refer to a separate or selective embodiment that is mutually exclusive with other embodiments.

[0070] Example 1, reference Figure 1 and Figure 2 , which is the first embodiment of the present invention, and provides a model building method based on interactive design of interior decoration, comprising the following steps:

[0071] S1. Generate diverse design sketches through AI generation tools, collect customer feedback data, clarify customer needs, and generate basic design plans.

[0072] Furthermore, AI generation tools (such as DALL-E and Midjourney) can be used to quickly generate space layout sketches, style design sketches, material and texture sketches, color scheme sketches, furniture and decorative element sketches, functional design sketches, and interactive design sketches;

[0073] Space layout sketches show the layout plans of different spaces, such as open or closed room arrangements, corridors and furniture configurations;

[0074] Style design sketches cover a variety of design styles, such as modern, traditional, simple, industrial, pastoral, minimalist, retro, etc., to help customers choose the design that best suits their personal preferences from different visual styles;

[0075] Material and texture sketches show different material choices (such as wood, metal, glass, stone, fabric, etc.) and texture combinations, exploring the spatial perception and visual effects brought by different materials;

[0076] The color scheme sketch includes different tones of walls, floors, furniture and decorations to help customers decide the color tone of the entire space;

[0077] Furniture and decorative element sketches show the placement of furniture and decorative element selections of different styles and functions, such as sofas, tables and chairs, lamps, artworks, etc.

[0078] Functional design sketches are based on the customer's functional requirements (such as storage space, work area, rest area, etc.), showing how to maximize the use of space and meet actual usage needs;

[0079] Interactive design sketches are spaces that need to incorporate interactive elements, such as smart homes, dynamic light source adjustment, adjustable furniture, etc. These sketches will include the embodiment of interactive functions;

[0080] Collect design preference data, interaction behavior data, satisfaction rating data, design practicality data, improvement suggestion data, style trend data and stay experience data as customer feedback data through online questionnaires, user behavior analysis tools, on-site interviews and observations;

[0081] Design preference data includes space layout preferences, style theme preferences, and color and material preferences;

[0082] Among them, spatial layout preference refers to the customer's preference for spatial structure, such as the choice of open and closed spaces, furniture arrangement, functional area division, etc.

[0083] Style theme preference is the customer's choice of interior design style, such as modern, classical, minimalist, retro and other styles;

[0084] Color and material preferences are customers’ preferences for materials and colors of walls, floors, furniture, etc., for example, they prefer warm tones, cool tones, or choose materials such as wood, metal, glass, etc.

[0085] Interaction behavior data includes customer click and selection behavior, customer stay time on the page and interaction frequency;

[0086] The customer click and selection behaviors are the click records when the customer selects different sketches, materials or functional designs on the virtual platform. These records can reflect the design elements that the customer is most interested in.

[0087] The time a customer spends on a page is the time they spend viewing different design options and sketches. If a design element or area stays there for a long time, it indicates that the customer is interested in that part of the design.

[0088] Interaction frequency is how often customers adjust the layout of the space, change the material or light settings, which helps to understand the customer's interest level and priority in different design options;

[0089] Satisfaction rating data includes immediate emotional response, customer satisfaction rating and emotional feedback;

[0090] The immediate emotional response is to evaluate the emotional response (such as satisfaction, surprise, confusion, dissatisfaction, etc.) shown by customers during the interaction process through the emotional analysis tools of the virtual platform (such as facial recognition technology, voice analysis, etc.);

[0091] Customer satisfaction rating is that after each display or interaction, customers can fill out a satisfaction questionnaire to rate various aspects of the design, such as space layout, material selection, color matching, etc.

[0092] Emotional feedback is the emotional feedback that customers directly express when using VR / AR or online platforms, such as by selecting a “like” or “dislike” button or leaving specific feelings and opinions in the comment section;

[0093] Design practicality data includes spatial functional requirements, the smoothness of interactive experience, and operational behavior feedback;

[0094] The spatial functional requirements are the customer's requirements for the spatial functions, such as whether more storage space is needed, whether a specific work area is needed, whether certain areas are desired to have higher privacy, etc.

[0095] The smoothness of the interactive experience is the customer's feedback on the operation of the virtual platform, such as whether it is easy to navigate, whether the interface is intuitive, whether the interaction is smooth, etc., which can help optimize the user experience of the platform;

[0096] Operational behavior feedback refers to whether customers encounter obstacles or difficulties during the interaction process, such as inconvenient operation, unclear functions, etc.

[0097] Improvement suggestion data includes specific modification suggestions, disliked elements, and priority feedback;

[0098] Specific modification suggestions are suggestions for improvement of certain design elements, such as changing the wall color, adjusting the furniture placement, adding or reducing certain decorative elements, etc.

[0099] Disliked elements are the parts of the design that customers specifically point out they don’t like, which could be a certain material, color tone, furniture style, etc.

[0100] Priority feedback means that when customers provide modification suggestions, they usually list the parts they want to improve according to their priorities. Designers can decide which parts need to be adjusted first based on this feedback.

[0101] Style trend data includes multiple feedback and demand changes and evolutions;

[0102] Multiple feedback refers to when multiple customers give similar feedback at different times or in different design proposals. This data can be extracted to find trends. For example, if multiple customers express a preference for simple designs or natural tones, this trend can be used as a reference for the next stage of design.

[0103] Demand changes and evolutions are as design iterations and customer feedback accumulates. Customer needs and preferences may change. Monitoring these changes can help designers adjust the design direction and ensure the timeliness and adaptability of the solution.

[0104] Check-in experience data includes interaction paths and navigation as well as multi-user feedback;

[0105] The interaction path and navigation are the customer's action track in the virtual platform, such as which part they start to view the design, and which different design solutions or interactive elements they choose afterwards;

[0106] Multi-user feedback means if the design is for multiple user groups, feedback from different users (such as family members, corporate customers, etc.) is collected and adjusted according to different needs;

[0107] Based on the diverse design sketches and customer needs identified through customer feedback data, generate and formulate a basic design plan that includes diverse design sketches and customer feedback data;

[0108] It should be noted that AI generation tools are used to quickly generate diverse design sketches of space layout, style design, materials and textures, color schemes, etc., and customer feedback data is collected through online surveys, user behavior analysis, on-site interviews, etc.; customer needs are clarified to make the design process more accurate and personalized; customer feedback data covers design preferences, interactive behaviors, satisfaction, design practicality, improvement suggestions, style trends and stay-in experience. By analyzing these data, the design scheme is optimized and adjusted; ultimately, the diversity of design schemes, user satisfaction and actual use effects are improved, making interior design more personalized and interactive.

[0109] S2. Use parametric design tools to create a 3D model of an interactive eco-house and adjust the basic design plan according to customer needs.

[0110] Furthermore, the input of the interactive eco-house 3D model is defined as a diversified sketch, and the output is an optimized adjustment;

[0111] Import various sketches into parametric design software (Grasshopper);

[0112] Create walls, floors and roofs as the basic house geometry (such as walls, floors and roofs, etc.) in 3D modeling software (Rhino);

[0113] Generate design preferences, functional requirements, visual requirements, acoustic effects, ecological environment, interactive experience and improvement suggestions as user needs through customer feedback data;

[0114] Design preference refers to the user's preference for design style, color, material, etc. For example, some users may prefer modern minimalist style, while others may prefer natural style;

[0115] Functional requirements are users’ specific requirements for house layout and functional area division. For example, users may want to add an open kitchen or an independent work area.

[0116] Visual needs are users’ expectations for lighting effects and material textures. For example, users may want more natural light or the application of certain materials indoors.

[0117] Acoustic effect refers to the user's requirements for the indoor acoustic environment, such as reducing echo and improving sound effects;

[0118] Ecological environment refers to users’ expectations for the indoor ecosystem, such as increasing greenery, maintaining air quality, and controlling humidity;

[0119] Interactive experience refers to the user's demand for interactive methods and experiences in the AR environment, such as more intuitive touch operations and higher interaction frequency.

[0120] Improvement suggestions are user-proposed modifications or improvements to the design solution;

[0121] According to the diverse sketches and user needs, divide the room layout and main functional areas, and define the house parameters (including basic parameters such as wall height and room size);

[0122] Use parametric design software (Grasshopper) to define parametric relationships so that users can modify the interactive eco-house 3D model by adjusting parameters, such as wall height h, room length l, room width w, and create control points and sliders in the parametric design software (Grasshopper) so that users can intuitively adjust these parameters, create control points and sliders so that users can intuitively adjust these parameters;

[0123] According to user needs, add doors, windows and stairs as house structural elements (including adding doors, windows, stairs and other structural elements) to improve the building space and structure;

[0124] Define the initial settings of the house material and texture to ensure that the material and lighting design can be easily carried out in the subsequent steps;

[0125] Based on the above, the basic design scheme adjustment was completed (including optimized house geometry and layout, adjusted material and texture settings, and added interactive functions and equipment);

[0126] Install light sensors and humidity sensors in the interactive eco-house 3D model;

[0127] The green coverage rate is obtained by measuring and counting the green areas in the interactive eco-house 3D model;

[0128] Collect light intensity through light sensors;

[0129] Collect air humidity contribution through humidity sensor;

[0130] The relevant distances in the 3D model of the interactive eco-house were calculated using 3D modeling software (Rhino) to obtain the horizontal distance and the shortest distance;

[0131] Using the plug-in of parametric design software (such as Kangaroo), structural optimization and environmental analysis are carried out to ensure the rationality and eco-friendliness of the interactive eco-house 3D model and generate the optimal ecological environment, which is expressed as:

[0132]

[0133] Among them, E opt is the optimal ecological environment index, opt is the optimization value, n is the number of ecological configurations in the ecological environment, and the ecological configuration includes green coverage, light intensity, air humidity contribution value, horizontal distance between ecological configuration and furniture, and the shortest distance between ecological configuration and furniture, G i is the green coverage rate of the i-th ecological configuration, P i is the light intensity of the ith ecological configuration, H i is the air humidity contribution value of the i-th ecological configuration, O i is the horizontal distance between the ith ecological configuration and the furniture, D i is the shortest distance between the i-th ecological configuration and the furniture, i is the index of the ecological configuration;

[0134] Specifically, Kangaroo is a plug-in for physical simulation, mainly used for structural optimization;

[0135] Create basic geometry in Grasshopper;

[0136] Define the physical properties of structural elements, such as stiffness, weight, elasticity, etc.;

[0137] Set constraints such as fixed points, support points and loads to ensure that the basic geometric model conforms to the actual situation during the physical simulation;

[0138] Start the Kangaroo plug-in to perform real-time physical simulation and observe the deformation and stress distribution of the structure under load;

[0139] According to the simulation results, adjust the geometry and structure of the interactive eco-house 3D model, optimize material distribution and structural performance, and ensure rationality and safety;

[0140] Add adjustable devices to the interactive eco-house 3D model for AR environment interaction (including adding adjustable furniture and decoration positions) to allow users to interact in the AR environment;

[0141] Specifically, furniture and decorations (including sofas, tables, chairs, lamps, paintings, etc.) were added to the interactive eco-house 3D model;

[0142] In parametric design software (Grasshopper), set parametric control points of furniture and decorations (including defining control parameters such as position coordinates (X, Y, Z), rotation angle, size, etc., and creating control points and sliders so that users can intuitively adjust these parameters) as interactive configurations for the AR environment;

[0143] Configure the AR environment interactively (e.g., parameterize the position of the sofa as X 沙发 , Y 沙发 , Z 沙发 and create sliders to control these parameters) into FBX format and import it into the AR environment for interaction;

[0144] Create a new scene in the AR environment interaction and configure the AR device (such as a smartphone or AR glasses) to interact with the AR environment;

[0145] Write AR interaction scripts through Unity scripting tools (such as Unreal Engine's Blueprint or Unity's C#) to write interaction logic and establish interaction triggers (create interaction triggers for each adjustable furniture and decorations, and write scripts to enable users to select and move furniture through handles, somatosensory controllers, gestures, or touch);

[0146] Specifically, in the Unity project, import the exported FBX file;

[0147] In the Unity project window, right-click and select Create > C# Script to create a new C# script file (for example, InteractionScript.cs).

[0148] Double-click the newly created script file to open it in Visual Studio and write the interactive logic code, for example, to implement touch selection and dragging of furniture positions;

[0149] Drag the script file to each specific object in the interactive eco-house 3D model (such as furniture, decorations, etc.) to bind the script and the object;

[0150] Run the project in Unity, test the interaction effects and make necessary adjustments;

[0151] In the AR environment interaction, users select furniture and adjust the position of furniture through touch control of AR devices (such as smartphones and AR glasses);

[0152] Specifically, to select furniture: users point their smartphone or AR glasses at the furniture and select it through touch or gesture;

[0153] Move furniture: After selecting furniture, users can adjust the position of furniture by dragging the handle or gesture operation;

[0154] Rotate furniture: After selecting a piece of furniture, the user can adjust the direction of the furniture by rotating the handle or performing gestures.

[0155] Define plant walls and micro water cycles as ecological environment layouts (such as plant walls, micro water cycles, etc.), and connect them with AR environment interactions;

[0156] Interactively display the 3D model of the interactive eco-house through the AR environment, collect user feedback, and adjust the design plan based on user feedback;

[0157] Test in an interactive AR environment to ensure that users can smoothly interact with the furniture and decorations in the interactive eco-home 3D model;

[0158] Collect test feedback and make further optimization and adjustments based on user experience;

[0159] Specifically, in the AR environment interaction, users interact with the interactive eco-home 3D model through AR devices (such as smartphones or AR glasses), and various feedback data are generated. Common feedback data include: physiological feedback, which reflects the user's comfort and emotional changes; behavioral feedback, which reflects the selection, movement, and rotation of furniture and decorations; subjective feedback, which reflects satisfaction scores, improvement suggestions, etc.

[0160] The collected user feedback data is transmitted to the central control center via the wireless network and stored in the database for further analysis and processing;

[0161] The central control center pre-processes the feedback data, including data cleaning, data classification and pattern recognition;

[0162] Data cleaning is to remove noise and invalid data to ensure the accuracy and reliability of data;

[0163] Data classification is to classify the data according to the feedback type, such as physiological feedback, behavioral feedback, and subjective feedback;

[0164] Pattern recognition is to identify patterns (recurring behaviors and preferences in user feedback) and trends (the direction of changes in user needs and satisfaction over time) in user feedback through data mining and machine learning algorithms, and find common problems and improvement points;

[0165] Based on the data analysis results, specific adjustment suggestions are generated, such as:

[0166] If most users feel uncomfortable in a certain area, consider adjusting the layout or materials of that area;

[0167] If users frequently encounter operational problems during use, you can optimize the user interface design and simplify the interaction process;

[0168] Based on physiological feedback data, if a certain material causes discomfort to the user, you can try to replace or adjust the material;

[0169] According to the generated adjustment suggestions, the specific adjustment measures are as follows:

[0170] Adjust design parameters such as room layout, wall height, material selection, etc. in parametric design tools (such as Grasshopper);

[0171] Update the model in 3D modeling software (such as Rhino) to ensure that the adjusted design is visually and structurally consistent;

[0172] Re-render the optimized design in the V-Ray rendering engine to ensure that the material and lighting effects are consistent with the adjusted plan;

[0173] Re-import the adjusted design into the AR environment, let users interact with it again, collect a new round of feedback data, and continuously optimize the design through repeated iterations until the best user experience is achieved;

[0174] For example:

[0175] Assume that in user feedback, many users feel that there is insufficient light in a certain room. The central control system confirms this problem through data analysis. Then, the adjustment suggestions may include: increasing the window area of ​​the room or adjusting the window position;

[0176] Replace or add artificial light sources to increase light intensity;

[0177] Adjust the room's color and texture to make it more reflective of light;

[0178] After implementing adjustments, re-render and display in the AR environment, and users experience it again and provide feedback to verify whether the adjustment solves the problem and ensure that the final solution meets user needs and expectations;

[0179] It should be noted that the use of parametric design tools to create an interactive eco-house 3D model and adjust the basic design plan according to customer needs has greatly improved the flexibility and responsiveness of the design; by defining a variety of sketch inputs, output optimization and adjustment, and importing parametric design software for refinement, the efficiency and accuracy of the design process have been improved; the basic house geometry structure is established in the 3D modeling software, and structural elements such as doors, windows and stairs are added to improve the architectural space. Parametric plug-ins are used for structural optimization and environmental analysis to ensure eco-friendliness; adjustable devices are added for AR interaction, allowing users to adjust and experience the design plan in real time in the AR environment; user feedback is collected to further optimize the design to ensure the rationality and practicality of the design plan.

[0180] S3. Based on the adjusted basic design plan, optimize the visual requirements of the basic design plan through the V-Ray rendering engine.

[0181] Furthermore, the constructed 3D model of the interactive ecological house was imported into the V-Ray rendering engine;

[0182] Set up a material library (including natural materials (wood, stone), synthetic materials (glass, metal), etc.) in the V-Ray rendering engine and apply it to the interactive eco-house 3D model;

[0183] Monitor the incident light intensity based on the light sensors installed in the interactive eco-house 3D model;

[0184] According to the material settings and rendering in the V-Ray rendering engine, the diffuse reflection coefficient, specular reflection coefficient, incident light direction, reflected light direction, highlight index and ambient light intensity are obtained;

[0185] When creating a basic geometric model through the parametric design software plug-in Kangaroo, the normal vector is calculated based on the geometric shape;

[0186] The user's perspective and viewing direction are captured according to the user using the AR device as the sight direction;

[0187] The V-Ray rendering engine is used to simulate the performance of different materials under natural light and artificial light, provide users with real-time material previews, show users a variety of material and light and shadow combination solutions, and record user preferences to obtain the lighting impact value, which is expressed as:

[0188]

[0189] Among them, Ir is the illumination impact value, i.e., the reflected light intensity. It combines the reflection effect of the material under different light sources (natural light, artificial light). r is the light intensity after the light is reflected by the surface. t is the incident light intensity, t is the light intensity on the surface, k d is the diffuse reflection coefficient, which is used to describe the diffuse reflection ability of the material surface to light. d is the proportional coefficient of the material surface to the incident light, usually between 0 and 1. This coefficient indicates the efficiency of the incident light being scattered evenly in all directions. The larger the value, the more the material surface tends to reflect light evenly. s is the specular reflection coefficient, s is the proportional coefficient of the material surface for specular reflection of incident light, which quantifies the ability of the surface to concentrate and reflect incident light, I a is the ambient light intensity, k a is the ambient light reflection coefficient, a is the ambient light, that is, the total energy of the ambient light provided by the light source, is the incident light direction, is the normal vector, is the direction of reflected light, is the sight direction, m is the specular index;

[0190] Install biofeedback sensors (such as brain wave sensors, heart rate sensors, and skin electrical sensors) on the user's body surface to capture user feedback data, that is, the user's physiological response when viewing or interacting with the design solution;

[0191] Users wear brain wave sensors and heart rate sensors and watch the interactive eco-home 3D model through AR devices. The sensors capture the user's physiological response data in real time and transmit it to the AR interaction script;

[0192] The electroencephalogram (EEG) sensor captures the user's brain activity and analyzes brain wave frequencies and patterns to understand the user's emotions and attention state;

[0193] The heart rate sensor (ECG) monitors the user's heart rate changes, reflecting the user's excitement or relaxation level;

[0194] The galvanic skin sensor (GSR) detects changes in the conductivity of the user's skin, reflecting the user's emotions and stress levels;

[0195] The biofeedback sensor transmits feedback data to the AR environment interaction through the wireless network;

[0196] AR environment interaction adjusts the materials simulated by the V-Ray rendering engine in real time based on feedback data and lighting impact values, and updates the design rendering effects so that the materials and lighting effects can better meet user needs and optimize the visual experience;

[0197] Collect user-adjusted behavior data and preference data, adjust the optimization parameters of the material library and rendering engine based on the behavior data and preference data, and improve the actual experience of light and shadow effects;

[0198] It should be noted that by importing the constructed 3D model of the interactive eco-house into the V-Ray rendering engine, setting and applying the material library, it is possible to accurately simulate the performance of different materials under natural light and artificial light; install biofeedback sensors (such as brain waves, heart rate, and skin electricity sensors) to capture the user's physiological reactions when viewing and interacting with the design plan, and transmit them to the AR environment interaction via the wireless network; based on the user's physiological feedback data, the AR environment interaction adjusts the materials simulated by the V-Ray rendering engine in real time and updates the design rendering effect; finally, by collecting user behavior data and preference data, the material library and rendering parameters are further optimized, the actual design experience and user satisfaction are improved, and more personalized and accurate design optimization is achieved.

[0199] S4. Based on visual needs, use acoustic simulation software and sensors to analyze the acoustic performance of the space, complete ecological integration, and combine IoT and user interface to perform intelligent control and AR interaction of the ecological environment.

[0200] Furthermore, the acoustic areas (such as conference rooms, living rooms, music rooms, etc.) are determined in the interactive eco-house 3D model;

[0201] Add sound absorbing panels, adjustable soundproof walls and acoustic ceilings as variable acoustic structures in acoustic areas;

[0202] The sound-absorbing panels can be designed to be movable or rotatable so as to adjust the acoustic environment according to needs;

[0203] Use soundproof walls and acoustic ceilings to adjust the room’s acoustic properties when necessary, such as reducing reverberation time or increasing sound diffusion;

[0204] High-density sound-absorbing and reflective materials are selected as acoustic materials and integrated into a variable acoustic structure;

[0205] High-density sound-absorbing materials have good sound-absorbing properties, can effectively absorb sound waves, reduce reflections and echoes, and are often used to optimize indoor acoustic environments;

[0206] High-density sound-absorbing materials include sound-absorbing cotton, polyester fiber sound-absorbing panels, sound-absorbing foam and wooden sound-absorbing panels;

[0207] Reflective materials include sheet metal, glass, stone and tile;

[0208] Reflective materials are used to control the direction of sound propagation and optimize the acoustics of a space by reflecting sound waves;

[0209] Use acoustic simulation software (such as Odeon) to simulate and test the acoustic design in the interactive eco-house 3D model, optimize the acoustic environment, ensure the simulation effect of the variable acoustic structure and optimize the acoustic environment;

[0210] Install microphone array sensors, ambient noise sensors, and sound pressure sensors in the interactive eco-house 3D model to monitor sound characteristics;

[0211] Microphone array sensors are used to capture the spatial distribution and intensity of sound and detect the sound characteristics in the room;

[0212] Ambient noise sensors are used to detect background noise levels in an environment;

[0213] Sound pressure sensors are used to measure the sound pressure level in a room and assess changes in the acoustic environment;

[0214] Connect microphone array sensors, ambient noise sensors, and sound pressure sensors to variable acoustic structures (including sound direction, sound intensity, sound time delay, beamforming data, noise level, noise spectrum, noise source location, noise type, sound pressure level, frequency response, instantaneous sound pressure, and root mean square sound pressure);

[0215] Microphone array sensors are composed of multiple microphones and can collect the following data:

[0216] Sound direction: determine the direction from which the sound comes;

[0217] Sound intensity: measures the intensity of sound in different directions;

[0218] Sound time delay: captures the time difference between the sound reaching each microphone and is used to calculate the spatial distribution of the sound;

[0219] Beamforming data: Through beamforming technology, the sound in a specific direction is enhanced and noise is filtered out;

[0220] The environmental noise sensor is used to monitor the background noise in the environment. The data collected includes:

[0221] Noise level: decibel value (dB) of noise in the environment;

[0222] Noise spectrum: the distribution of noise at different frequencies;

[0223] Noise source location: detect and locate the location of the noise source;

[0224] Noise type: Identify different types of noise in the environment, such as traffic noise, mechanical noise, etc.;

[0225] Sound pressure sensors are used to measure the sound pressure level in a space. The data collected includes:

[0226] Sound pressure level: The pressure level of sound waves in a space, usually expressed in decibels (dB);

[0227] Frequency response: how sound pressure changes at different frequencies;

[0228] Instantaneous sound pressure: Capture instantaneous sound pressure changes for analyzing impact noise or instantaneous sound events;

[0229] Root mean square sound pressure: Calculates the root mean square value of the sound pressure, which is used to evaluate the long-term average value of the sound pressure;

[0230] Dynamically adjust the variable acoustic structure based on the monitored sound characteristics to continuously optimize the acoustic environment;

[0231] Dynamically adjusting the variable acoustic structure is as follows: if the sound pressure level in a certain area is detected to be too high, the central control center will analyze the acoustic characteristics of the area and generate corresponding adjustment instructions. The control center of the variable acoustic structure will perform the adjustment operation according to the instructions, for example:

[0232] Increase the coverage area of ​​the sound-absorbing panels: control the expansion of the sound-absorbing panels to cover more wall surfaces and absorb excess sound energy;

[0233] Mobile soundproof wall: Move the soundproof wall between the noise source and the target area to reduce noise transmission;

[0234] Adjust the ceiling height: Change the height of the acoustic ceiling to better absorb or scatter sound waves;

[0235] Write data acquisition scripts to collect acoustic data from microphone array sensors, ambient noise sensors, and sound pressure sensors in real time;

[0236] The acoustic data is standardized and analyzed by signal processing algorithms (commonly used include Fourier transform, short-time Fourier transform, wavelet transform and filter design, etc.) to obtain the sound absorption coefficient, which is expressed as:

[0237]

[0238] Among them, α is the sound absorption coefficient, which indicates the material's ability to absorb sound, Q x is the incident sound energy, which means the sound energy incident on the surface of the material, Q b is the reflected sound energy, which means the sound energy reflected from the surface of the material, e -2uf / c It is the attenuation factor of sound waves when propagating in materials, reflecting the attenuation degree of sound wave energy in materials. e is a natural constant, approximately equal to 2.71828. It is an important mathematical constant that appears in many natural phenomena and mathematical formulas. u is the material thickness, f is the sound wave frequency, and c is the speed of sound, indicating the propagation speed of sound waves in the air.

[0239] Evaluate the performance of high-density sound-absorbing and reflective materials in variable acoustic structures based on the calculated sound absorption coefficients;

[0240] Compare the calculated sound absorption coefficient with a known reference material or standard value, for example, compare the sound absorption coefficients of different types of sound absorbing materials to determine which ones perform better;

[0241] Conduct laboratory tests under controlled conditions to verify the calculated sound absorption coefficients and ensure the accuracy of the calculated results through actual testing and measurements;

[0242] Select materials with high sound absorption coefficient for acoustic design areas, such as conference rooms and music rooms, to optimize the indoor acoustic environment;

[0243] Combined with acoustic simulation software, the overall acoustic design is simulated and optimized to ensure good performance of the acoustic environment;

[0244] The sound absorption coefficient α is close to 1, indicating that the material has a strong ability to absorb sound, such as sound-absorbing cotton, foam materials, etc.

[0245] The sound absorption coefficient α is close to 0, indicating that the material has a weak ability to absorb sound, for example, smooth hard surfaces such as glass or metal;

[0246] It should be noted that the description of the sound absorption coefficient α is only an example, please make a specific decision based on actual conditions;

[0247] Configure IoT control equipment in the interactive eco-home 3D model, integrating temperature and humidity sensors, light sensors, and air quality sensors;

[0248] Monitor indoor temperature and humidity through temperature and humidity sensors, monitor indoor light intensity through light sensors, and monitor the concentration of pollutants in the air (such as CO2 and PM2.5) through air quality sensors;

[0249] Integrated temperature and humidity sensors, light sensors and air quality sensors monitor ecological environment parameters to achieve intelligent control;

[0250] Develop a user interface using HTML, CSS, JavaScript, and React, so that users can interact with the interactive eco-house 3D model through touch, voice, and gestures, and apply the user interface to AR environment interaction, so that users can interact with the interactive eco-house 3D model in the real environment through smartphones or AR glasses;

[0251] Specifically, define the functional requirements and user experience goals of the user interface, including specific requirements for touch, voice, and gesture interaction;

[0252] Sketch and prototype user interfaces using design tools such as Sketch, Adobe XD, or Figma, including interactive elements such as buttons, menus, sliders, etc.

[0253] Ensure that the interface design is simple and intuitive, convenient for users to operate and interact;

[0254] Choose a front-end development framework (such as React, Angular, or Vue.js) for interface development;

[0255] Write HTML, CSS and JavaScript code to implement interface layout and interaction logic;

[0256] Integrated touch, voice and gesture recognition functions;

[0257] Use speech recognition APIs (such as Google Speech-to-Text, Microsoft Azure Speech Services) to recognize and process voice commands;

[0258] Use gesture recognition technology (such as Leap Motion, Intel RealSense or Kinect) to implement gesture interaction;

[0259] Integrate voice and gesture recognition modules into the front-end interface;

[0260] Choose a backend development framework (such as Node.js, Django, or Flask) for server-side development;

[0261] Write API interfaces to handle user requests and data interactions;

[0262] Store and manage user data, sensor data, and interaction records;

[0263] Use AR development tools (such as Unity, Unreal Engine, or ARKit / ARCore) to develop AR interactive environments;

[0264] Import user interface elements into the AR environment and set the UI display position and interaction logic;

[0265] Write AR interaction scripts to ensure that users can interact with the interactive eco-house 3D model through touch, voice and gesture through AR devices;

[0266] Conduct user testing, collect user feedback, and discover and fix problems in interface design and function implementation;

[0267] Optimize interface performance to ensure smooth operation on different devices and usage scenarios;

[0268] Deploy the user interface and backend server to the cloud or local server to ensure stable operation;

[0269] Regular maintenance and updates to add new features and optimize user experience;

[0270] It should be noted that based on visual needs, acoustic simulation software and sensors are used to analyze the acoustic performance of the space and complete ecological integration; the acoustic environment is optimized by determining the acoustic area and adding acoustic structures such as sound-absorbing panels, soundproof walls and acoustic ceilings; microphone array sensors, ambient noise sensors and sound pressure sensors are installed to monitor sound characteristics in real time; real-time monitoring and interactive adjustment of the intelligent ecology are achieved through IoT control equipment and AR applications; simulation tests are carried out using acoustic simulation software to ensure the optimization effect of the acoustic design; this method improves the acoustic performance and comfort of the indoor environment, provides an intelligent and controllable ecological environment, and significantly improves the user experience.

[0271] The present embodiment also provides a model building system based on interactive design of interior decoration, including: an acquisition module, a creation module, an optimization module and an interaction module; the acquisition module is used to generate diversified design sketches through AI generation tools, and collect customer feedback data, clarify customer needs, and generate basic design plans; the creation module is used to use parametric design tools to create an interactive ecological home 3D model, and adjust the basic design plan according to customer needs; the optimization module is used to optimize the visual requirements of the basic design plan through the V-Ray rendering engine based on the adjusted basic design plan; the interaction module is used to analyze the acoustic performance of the space based on visual needs, use acoustic simulation software and sensors, complete ecological integration, and combine IoT and user interface for intelligent control and AR interaction of the ecological environment.

[0272] This embodiment also provides a computer device, which is suitable for the model building method based on interactive design of interior decoration, including: a memory and a processor; the memory is used to store computer executable instructions, and the processor is used to execute computer executable instructions to implement the model building method based on interactive design of interior decoration as proposed in the above embodiment.

[0273] The computer device may be a terminal, and the computer device includes a processor, a memory, a communication interface, a display screen and an input device connected via a system bus. The processor of the computer device is used to provide computing and control capabilities. The memory of the computer device includes a non-volatile storage medium and an internal memory. The non-volatile storage medium stores an operating system and a computer program. The internal memory provides an environment for the operation of the operating system and the computer program in the non-volatile storage medium. The communication interface of the computer device is used to communicate with an external terminal in a wired or wireless manner, and the wireless manner can be achieved through WIFI, an operator network, NFC (near field communication) or other technologies. The display screen of the computer device may be a liquid crystal display screen or an electronic ink display screen, and the input device of the computer device may be a touch layer covering the display screen, or a key, trackball or touchpad provided on the housing of the computer device, or an external keyboard, touchpad or mouse, etc.

[0274] The present embodiment also provides a storage medium on which a computer program is stored. When the program is executed by a processor, the model building method based on interactive design of interior decoration as proposed in the above embodiment is implemented; the storage medium can be implemented by any type of volatile or non-volatile storage device or a combination thereof, such as static random access memory (Static Random Access Memory, referred to as SRAM), electrically erasable programmable read-only memory (Electrically Erasable Programmable Read-Only Memory, referred to as EEPROM), erasable programmable read-only memory (Erasable Programmable Read Only Memory, referred to as EPROM), programmable read-only memory (Programmable Red-Only Memory, referred to as PROM), read-only memory (Read-Only Memory, referred to as ROM), magnetic storage, flash memory, magnetic disk or optical disk.

[0275] In summary, the present invention realizes an efficient, flexible and personalized design process through the interactive ecological house 3D model combined with AI generation tools, parametric design, V-Ray rendering engine, biofeedback technology, acoustic simulation software and IoT and AR applications; optimizes the design scheme and improves user satisfaction through customer feedback data and biofeedback data; improves the comfort of the indoor environment through acoustic performance analysis and ecological integration; AR environment interaction and IoT control realize real-time monitoring and interactive adjustment of the intelligent ecology; overall, the interactive ecological house 3D model significantly improves the overall level of interior decoration design and meets the needs of modern intelligent and ecological design.

[0276] Example 2, referring to Table 1, is the second example of the present invention. To further verify the technical solution of the present invention, experimental simulation data of a model building method based on interactive design of interior decoration are provided.

[0277] First, prepare the tools and equipment required for the experiment, including AI generation tools (such as DALL-E, Midjourney), parametric design software (Grasshopper, Rhino), V-Ray rendering engine, acoustic simulation software (such as Odeon), biofeedback sensors (brain wave sensors, heart rate sensors, skin electrical sensors), IoT control equipment, AR devices (smartphones, AR glasses) and necessary hardware (microphone array sensors, ambient noise sensors, sound pressure sensors, etc.).

[0278] Next, AI generation tools were used to generate diverse design sketches, and customer design preference data, interaction behavior data, and satisfaction rating data were collected through online questionnaires, user behavior analysis tools, and on-site interviews. The diverse sketches were imported into the parametric design software (Grasshopper), and the basic house geometry structure was established in the 3D modeling software (Rhino). The model was adjusted according to the sketch and user needs, house structural elements were added, material and texture initialization settings were defined, structural optimization and environmental analysis were performed, and the optimal ecological environment index was generated.

[0279] Secondly, the constructed interactive ecological house 3D model is imported into the V-Ray rendering engine, and the material library is set up and applied to the model. The performance of different materials under natural light and artificial light is simulated, and the physiological reaction data of users when viewing and interacting with the design scheme is captured and transmitted to the AR environment interaction via wireless network. The AR environment adjusts the materials simulated by the V-Ray rendering engine in real time according to the feedback data and updates the design rendering effect.

[0280] Finally, use acoustic simulation software and sensors to analyze the acoustic performance of the space and complete the ecological integration. Optimize the acoustic environment by determining the acoustic area and adding acoustic structures such as sound-absorbing panels, soundproof walls, and acoustic ceilings. Install microphone array sensors, ambient noise sensors, and sound pressure sensors to monitor sound characteristics in real time, and realize intelligent control of ecological environment parameters through IoT control equipment. Develop a user interface to interact with the interactive ecological home 3D model through touch, voice, and gestures, and apply the user interface to AR environment interaction.

[0281] The details are shown in Table 1 below:

[0282] Table 1 User experience index comparison table

[0283]

[0284]

[0285] The technology of the present invention improves the user experience, especially in terms of interaction frequency, lighting impact value and sound absorption coefficient. Compared with existing technologies, such as manual design adjustment, fixed material simulation and traditional CAD design, the technology of the present invention improves the interaction frequency between users and designs through the combination of AI-generated design sketches, parametric design tools, biofeedback optimization and V-Ray rendering engine, as well as intelligent control systems, while improving lighting effects and sound absorption performance. For example, the intelligent control combined with IoT and AR achieves a high interaction frequency of 25 times per hour, the lighting impact value reaches 0.94, and the sound absorption coefficient is increased to 0.81. Overall, the technology of the present invention not only improves the user's interactive experience, but also provides a more suitable interior decoration design scheme, further improving the lighting and acoustic performance of the indoor environment.

[0286] It should be noted that the above embodiments are only used to illustrate the technical solutions of the present invention rather than to limit it. Although the present invention has been described in detail with reference to the preferred embodiments, those skilled in the art should understand that the technical solutions of the present invention may be modified or replaced by equivalents without departing from the spirit and scope of the technical solutions of the present invention, which should all be included in the scope of the claims of the present invention.

Claims

1. A model construction method based on interactive design of interior decoration, characterized by: include, Generate diverse design sketches through AI generation tools, collect customer feedback data, clarify customer needs, and generate basic design plans; Use parametric design tools to create interactive eco-home 3D models and adjust basic design plans based on customer needs; Based on the adjusted basic design plan, the visual requirements of the basic design plan are optimized through the V-Ray rendering engine; Based on visual needs, acoustic simulation software and sensors are used to analyze the acoustic performance of the space, complete ecological integration, and combine IoT and user interface to carry out intelligent control and AR interaction of the ecological environment.

2. The model building method based on interior decoration interactive design according to claim 1, characterized in that: The diverse design sketches include space layout sketches, style design sketches, material and texture sketches, color scheme sketches, furniture and decorative element sketches, functional design sketches and interactive design sketches.

3. The model building method based on interior decoration interactive design according to claim 2, characterized in that: The customer feedback data includes design preference data, interaction behavior data, satisfaction score data, design practicality data, improvement suggestion data, style trend data and stay experience data.

4. The model building method based on interior decoration interactive design according to claim 3, characterized in that: The above-mentioned parametric design tool is used to create an interactive eco-house 3D model, and the basic design scheme is adjusted according to customer needs. The specific steps are as follows: Define the interactive eco-house 3D model input as diversified sketches and output as optimized adjustments; Import various sketches into Grasshopper; Create walls, floors and roofs in Rhino as the basic house geometry; Generate design preferences, functional requirements, visual requirements, acoustic effect requirements, ecological environment, interactive experience and improvement suggestions as user needs through customer feedback data; Divide the room layout and main functional areas and define the house parameters according to the diverse sketches and user needs; Define parametric relationships using Grasshopper and create control points and sliders in Grasshopper; Add doors, windows and stairs as house structural elements according to user needs; Define house material and texture initialization settings; Using Grasshopper plug-in, structural optimization and environmental analysis are performed to generate the optimal ecological environment, which is expressed as: Among them, E opt is the optimal ecological environment index, opt is the optimized value, n is the number of ecological configurations in the ecological environment, G i is the green coverage rate of the i-th ecological configuration, P i is the light intensity of the ith ecological configuration, H i is the air humidity contribution value of the i-th ecological configuration, O i is the horizontal distance between the ith ecological configuration and the furniture, D i is the shortest distance between the i-th ecological configuration and the furniture, i is the index of the ecological configuration; Add adjustable devices to the interactive eco-house 3D model for AR environment interaction; Define plant walls and micro water circulation as ecological environment layout, and connect them with AR environment interaction; The interactive eco-house 3D model is displayed through the AR environment to collect user feedback and adjust the basic design plan based on user feedback.

5. The model building method based on interior decoration interactive design according to claim 4, characterized in that: The specific steps of adding an adjustable device to the interactive ecological house 3D model for AR environment interaction are as follows: Add furniture and decorations to the interactive eco-home 3D model; In Grasshopper, set the parametric control points of furniture and decorations as interactive configurations for the AR environment; Convert the AR environment interaction configuration into FBX format and import it into the AR environment interaction; Create a new scene in the AR environment interaction and configure the AR device to interact with the AR environment; Use Unity scripting tools to write AR interaction scripts and establish interaction triggers; In the AR environment interaction, users select furniture and adjust the position of furniture through the touch of AR devices.

6. The model building method based on interactive design of interior decoration according to claim 5, characterized in that: The visual requirements of the basic design scheme are optimized by using the V-Ray rendering engine based on the adjusted basic design scheme. The specific steps are as follows: Import the constructed interactive ecological house 3D model into the V-Ray rendering engine; Set up the material library in the V-Ray rendering engine and apply it to the interactive ecological house 3D model; The V-Ray rendering engine is used to simulate the performance of different materials under natural light and artificial light, and the lighting impact value is obtained. The expression is: Among them, I r is the illumination impact value, r is the light intensity after the light is reflected by the surface, I t is the incident light intensity, t is the light intensity on the surface, k d is the diffuse reflection coefficient, d is the proportional coefficient of the diffuse reflection of the incident light by the material surface, k s is the specular reflection coefficient, s is the proportional coefficient of the material surface for specular reflection of incident light, I a is the ambient light intensity, k a is the ambient light reflection coefficient, a is the ambient light, is the incident light direction, is the normal vector, is the direction of reflected light, is the sight direction, m is the specular index; Install biofeedback sensors on the user's body surface to capture user feedback data; Biofeedback sensors transmit user feedback data to the AR environment interaction through wireless networks; AR environment interaction adjusts the materials simulated by the V-Ray rendering engine in real time based on user feedback data and lighting impact values, and updates the design rendering effects.

7. The model building method based on interior decoration interactive design according to claim 6, characterized in that: Based on visual needs, acoustic simulation software and sensors are used to analyze spatial acoustic performance, complete ecological integration, and combine IoT and user interface to perform intelligent control and AR interaction of the ecological environment. The specific steps are: Identify acoustic zones in the interactive Eco-House 3D model; Add sound absorbing panels, adjustable soundproof walls and acoustic ceilings as variable acoustic structures in acoustic areas; Choose sound-absorbing cotton, polyester fiber sound-absorbing board, sound-absorbing foam and wooden sound-absorbing board as high-density sound-absorbing materials; Choose metal sheets, glass, stone and tiles as reflective materials; Integrate high-density sound-absorbing and reflective materials into variable acoustic structures; Use Odeon to simulate and test the acoustic design in the interactive eco-house 3D model to optimize the acoustic environment; Install microphone array sensors, ambient noise sensors, and sound pressure sensors in the interactive eco-house 3D model to monitor sound characteristics; connecting a microphone array sensor, an ambient noise sensor, and a sound pressure sensor to a variable acoustic structure; Dynamically adjust the variable acoustic structure based on the monitored sound characteristics; Collect acoustic data in real time from microphone array sensors, ambient noise sensors, and sound pressure sensors; The acoustic data is standardized and analyzed by signal processing algorithm to obtain the sound absorption coefficient, which is expressed as: Among them, α is the sound absorption coefficient, Q x is the incident sound energy, Q b is the reflected sound energy, e -2uf / c is the attenuation factor of sound waves when propagating in the material, e is a natural constant, u is the material thickness, f is the sound wave frequency, and c is the speed of sound; Evaluate the performance of high-density sound-absorbing and reflective materials in variable acoustic structures based on the calculated sound absorption coefficients; Configure IoT control equipment in the interactive eco-home 3D model, integrating temperature and humidity sensors, light sensors, and air quality sensors; Monitor indoor temperature and humidity through temperature and humidity sensors, monitor indoor light intensity through light sensors, and monitor the concentration of pollutants in the air through air quality sensors; Intelligent control is performed by integrating ecological environment parameters monitored by temperature and humidity sensors, light sensors, and air quality sensors; Use HTML, CSS, JavaScript, and React to develop a user interface, interact with the interactive eco-house 3D model through touch, voice, and gestures, and apply the user interface to AR environment interaction.

8. A model building system based on interactive design of interior decoration, based on the model building method based on interactive design of interior decoration according to any one of claims 1 to 7, characterized in that: Including, acquisition module, creation module, optimization module and interaction module; The acquisition module is used to generate diversified design sketches through AI generation tools, collect customer feedback data, clarify customer needs, and generate basic design solutions; The creation module is used to create an interactive eco-house 3D model using a parametric design tool and adjust the basic design plan according to customer needs; The optimization module is used to optimize the visual requirements of the basic design scheme through the V-Ray rendering engine based on the adjusted basic design scheme; The interactive module is used to analyze the acoustic performance of the space based on visual needs using acoustic simulation software and sensors, complete ecological integration, and combine IoT and user interface to perform intelligent control and AR interaction of the ecological environment.

9. A computer device comprising a memory and a processor, wherein the memory stores a computer program, wherein: When the processor executes the computer program, the steps of the model building method based on interactive design of interior decoration according to any one of claims 1 to 7 are implemented.

10. A computer-readable storage medium having a computer program stored thereon, characterized in that: When the computer program is executed by a processor, the steps of the model building method based on interactive design of interior decoration according to any one of claims 1 to 7 are implemented.

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