Intelligent indoor decoration design optimization system, method, equipment and medium

Abstract

The invention relates to the technical field of indoor decoration design, in particular to an intelligent indoor decoration design optimization system, method and device and a medium, and the system comprises a management platform, a design terminal and an interaction device. Wherein the management platform comprises a user management unit and a design engine unit, and the user management unit is used for acquiring decoration demand data input by a user and spatial basic data collected by the indoor environment sensing equipment, and generating a user portrait according to the decoration demand data; the design engine unit is used for generating a plurality of decoration design schemes based on the user portrait and the spatial basic data; the design terminal is used for assisting a designer in processing the decoration design scheme; and the interaction device is used for enabling the user to perform interaction experience on the decoration design scheme. Therefore, the problems of inaccurate demand acquisition, low-efficiency and error-prone data acquisition, insufficient design innovation, subjective evaluation, limited experience, copyright management vulnerabilities and the like in the prior art are solved.

Description

Technical Field

[0001] The present invention relates to the technical field of interior decoration design, and in particular to an intelligent interior decoration design optimization system, method, equipment and medium. Background Art

[0002] The traditional interior design process presents numerous challenges. Designers rely primarily on face-to-face communication to understand user needs, which can easily lead to missing key information and difficulty accurately grasping individual needs. Spatial data collection often relies on manual measurement, which is inefficient and prone to errors. The design process relies heavily on the designer's personal experience and manual drawings, resulting in a lack of innovation and diversity in design solutions.

[0003] Design proposal evaluation lacks scientific, quantitative criteria, relying primarily on the subjective judgments of designers and users, making it difficult to comprehensively assess the pros and cons of design solutions. Users have limited ways to experience design solutions and are unable to directly perceive the actual effects of renovations. Furthermore, design copyright protection and version management suffer from loopholes, making designs susceptible to plagiarism or tampering. With increasing demands for interior design quality and personalization, coupled with the rapid advancement of technology, traditional interior design models are no longer able to meet market demand, necessitating an intelligent solution to enhance the efficiency, quality, and user experience of interior design. Summary of the Invention

[0004] The present application provides an intelligent interior decoration design optimization system, method, equipment and medium to solve the problems in the existing technology such as inaccurate demand acquisition, inefficient and error-prone data collection, insufficient design innovation, subjective evaluation, limited experience and copyright management loopholes.

[0005] The first aspect of the present application provides an intelligent interior decoration design optimization system, including: a management platform, a design terminal and an interactive device; wherein the management platform includes a user management unit and a design engine unit, wherein the user management unit is used to obtain decoration demand data input by the user and the basic space data collected by the indoor environment perception device, and generate a user portrait based on the decoration demand data; the design engine unit is used to generate multiple sets of decoration design schemes based on the user portrait and the basic space data; the design terminal is used to assist designers in processing the decoration design schemes; the interactive device is used to enable users to interactively experience the decoration design schemes.

[0006] Preferably, the design engine unit includes: a data processing module, a model building module and a scheme generation module; wherein, the data processing module is used to clean, reduce noise and standardize the decoration demand data and spatial basic data to generate structured data; the model building module is used to construct a three-dimensional semantic model including spatial layout, material selection and color matching based on the structured data; the scheme generation module uses a generative adversarial network algorithm and adds a spatial layout constraint layer to the generator, wherein the spatial layout constraint layer is used to constrain the generated spatial layout according to the spatial basic data; and multiple sets of initial decoration design schemes are generated based on the three-dimensional semantic model.

[0007] Preferably, it also includes an intelligent evaluation unit, wherein the intelligent evaluation unit is used to quantitatively evaluate the initial decoration design plan from three dimensions: space utilization, aesthetic score and environmental adaptability, generate a plan evaluation report, and optimize the initial decoration design plan to generate a target decoration design plan.

[0008] Preferably, the formula for the aesthetic score is:

[0009] Aesthetic score = color harmony × 0.6 + style consistency × 0.4;

[0010] Among them, color coordination is scored according to the degree of harmony between the hue, brightness, and purity of the colors; style consistency is scored according to the degree of unity of the decoration style elements in the space.

[0011] Preferably, the interactive device includes: a virtual reality terminal and an augmented reality terminal; wherein, the virtual reality terminal is used to convert the target decoration design scheme into an immersive three-dimensional scene, allowing users to roam in the space and interact with the scheme; the augmented reality terminal is used to superimpose the target decoration design scheme on the real indoor environment, realizing real-time fusion display of virtual design and real scene.

[0012] Preferably, the design terminal includes: a design software platform and an intelligent drawing unit; wherein, the design software platform is used by the designer to make detail adjustments, deepen the design and communicate the plan with the user based on the target decoration design plan; the intelligent drawing unit is used to convert the designer's hand-drawn sketches or modification opinions into digital design elements in real time, and integrate them into the design software platform to achieve efficient design interaction and plan iteration.

[0013] Preferably, it also includes a blockchain evidence storage unit; wherein, the blockchain evidence storage unit is used to hash and encrypt the target decoration design plan, user confirmation record and design modification history, and store them on the blockchain network, and realize the copyright confirmation and version management of the design plan through smart contracts.

[0014] The second aspect of the present application provides an intelligent interior decoration design optimization method, including: obtaining user decoration demand data and indoor environment space data; constructing a user demand model based on the user decoration demand data and the indoor environment space data, generating structured data based on the user demand model, and constructing a three-dimensional semantic model based on the generated structured data; using a generative adversarial network algorithm based on the three-dimensional semantic model and combining it with a spatial layout constraint layer to generate multiple sets of initial decoration design schemes; performing quantitative evaluation based on space utilization, aesthetics, and environmental adaptability to obtain evaluation results, and optimizing the multiple sets of initial decoration design schemes based on the evaluation results to obtain a target decoration design scheme.

[0015] The third aspect of the present application provides an electronic device, including: a memory, a processor, and a computer program stored in the memory and runnable on the processor. The processor executes the program to implement an intelligent interior decoration design optimization method as described in the above embodiment.

[0016] The fourth aspect of the present application provides a computer-readable storage medium on which a computer program or instruction is stored. When the computer program or instruction is executed, it realizes the intelligent interior decoration design optimization method.

[0017] Therefore, this application has the following beneficial effects:

[0018] In the embodiment of the present application, the management platform automatically collects and integrates data to build an accurate user portrait. The design engine unit uses an algorithm model to quickly generate a variety of initial solutions, breaking the limitations of traditional design and significantly shortening the cycle. A multi-dimensional quantitative evaluation system is introduced, and the intelligent evaluation unit accurately evaluates the optimization solution to ensure that it meets user needs and actual scenarios, thereby improving the quality of design. With the help of virtual reality and augmented reality technology, the interactive device provides an immersive experience, enhances user experience, and improves satisfaction. The blockchain evidence storage unit provides reliable copyright protection for the design solution through hash encryption and smart contracts, stimulating innovation. The intelligent drawing unit of the design terminal collaborates with the design software platform to achieve efficient design interaction, optimize processes, and improve professionalism and quality. In this way, the problems of inaccurate demand acquisition, inefficient and error-prone data collection, insufficient design innovation, subjective evaluation, limited experience, and copyright management loopholes in the existing technology are solved.

[0019] Additional aspects and advantages of the present application will be given in part in the description below, and in part will become apparent from the description below, or will be learned through practice of the present application. BRIEF DESCRIPTION OF THE DRAWINGS

[0020] The above and / or additional aspects and advantages of the present application will become apparent and easily understood from the following description of the embodiments in conjunction with the accompanying drawings, in which:

[0021] Figure 1 A schematic diagram of the structure of an intelligent interior decoration design optimization system provided according to an embodiment of the present application;

[0022] Figure 2 A schematic diagram of light changes during windowing according to one embodiment of the present application;

[0023] Figure 3 A schematic diagram of a house layout provided according to one embodiment of the present application;

[0024] Figure 4 A comparison chart of rating scores provided according to one embodiment of the present application;

[0025] Figure 5 A flowchart of an intelligent interior decoration design optimization method provided according to an embodiment of the present application;

[0026] Figure 6 A schematic diagram of the structure of an electronic device provided according to an embodiment of the present application. DETAILED DESCRIPTION

[0027] The following will be combined with the drawings in the embodiments of this application to clearly and completely describe the technical solutions in the embodiments of this application. Obviously, the embodiments described are only part of the embodiments of this application, not all of the embodiments. Based on the embodiments in this application, all other embodiments obtained by ordinary technicians in this field without making creative efforts are within the scope of protection of this application.

[0028] The following describes an intelligent interior decoration design optimization system according to an embodiment of the present application with reference to the accompanying drawings. In response to the subjective evaluation problem mentioned in the above background technology, the present application provides an intelligent interior decoration design optimization system, in which the management platform automatically collects and integrates data to build an accurate user portrait, and the design engine unit uses the algorithm model to quickly generate a variety of initial solutions, breaking the limitations of traditional design and significantly shortening the cycle; introducing a multi-dimensional quantitative evaluation system, the intelligent evaluation unit accurately evaluates the optimization solution to ensure that it meets user needs and actual scenarios, and improves the design quality; with the help of virtual reality and augmented reality technology, the interactive device provides an immersive experience, enhances the user experience, and improves satisfaction; the blockchain evidence storage unit provides reliable copyright protection for the design solution through hash encryption and smart contracts, stimulating innovation; the intelligent drawing unit of the design terminal collaborates with the design software platform to achieve efficient design interaction, optimize the process, and improve professionalism and quality. As a result, the problems of inaccurate demand acquisition, inefficient and error-prone data collection, insufficient design innovation, subjective evaluation, limited experience, and copyright management loopholes in the existing technology are solved.

[0029] Figure 1A schematic diagram of the composition of an intelligent interior decoration design optimization system provided in an embodiment of the present application.

[0030] An embodiment of the present application provides an intelligent interior decoration design optimization system, which includes a design terminal 100, a management platform 200, and an interactive device 300.

[0031] Among them, the management platform 200 includes a user management unit and a design engine unit. The user management unit is used to obtain the decoration demand data input by the user and the basic space data collected by the indoor environment sensing device, and generate a user portrait based on the decoration demand data; the design engine unit is used to generate multiple sets of decoration design plans based on the user portrait and basic space data; the design terminal 100 is used to assist designers in processing the decoration design plans; the interactive device 300 is used to enable users to interact with the decoration design plans.

[0032] It can be understood that in the embodiment of the present application, the user management unit is responsible for collecting the decoration demand data input by the user and the basic spatial data collected by the indoor environment sensing device, and generating accurate user portraits based on this, laying a solid data foundation for personalized design; the design engine unit relies on advanced algorithms and models, based on user portraits and basic spatial data, to quickly generate multiple sets of decoration design plans, breaking the limitations of traditional design and providing designers with rich choices; the design terminal serves as a capable assistant to the designer, helping him to professionally process the design plan, such as modification and optimization, to improve design efficiency and quality; the interactive device builds an immersive and interactive experience platform for users, allowing users to intuitively feel the decoration effect, deeply participate in the design process and put forward modification suggestions, thereby enhancing user satisfaction.

[0033] In an embodiment of the present application, the design engine unit includes: a data processing module, a model building module and a scheme generation module; wherein the data processing module is used to clean, reduce noise and standardize the decoration demand data and spatial basic data to generate structured data; the model building module is used to construct a three-dimensional semantic model including spatial layout, material selection and color matching based on structured data; the scheme generation module uses a generative adversarial network algorithm and adds a spatial layout constraint layer to the generator, wherein the spatial layout constraint layer is used to constrain the generated spatial layout according to the spatial basic data; and multiple sets of initial decoration design schemes are generated based on the three-dimensional semantic model.

[0034] Among them, the spatial layout constraint layer is a specific functional layer added to the generator of the generative adversarial network. It mainly restricts and regulates the generated spatial layout based on the spatial basic data to ensure that the generated spatial layout meets the actual spatial conditions and design requirements.

[0035] It can be understood that in the embodiment of the present application, multiple sets of initial plans are quickly output through an automated process, which significantly reduces the workload of designers and improves design efficiency; relying on high-quality data processing and accurate three-dimensional semantic model construction, combined with generative adversarial network algorithms and spatial layout constraint layers, it ensures that the design plans are both reasonable and diverse, effectively improving the design quality; provides users with rich choices, and uses intuitive three-dimensional semantic models to enhance users' understanding and participation in the design, thereby improving user experience; at the same time, the system promotes the transformation of decoration design towards automation and intelligence by introducing cutting-edge technologies such as deep learning.

[0036] For example, let's say you're designing a 50-square-meter, one-bedroom apartment in the city center for a young office worker. This person prefers a modern, minimalist style and has a medium budget. They want ample storage space, good lighting, and a comfortable lounge area. The following example illustrates how each module of the design engine works:

[0037] Data Processing Module: Renovation demand data collected from the management platform may include various user statements, such as "I want plenty of storage space," "I prefer a brighter space," and "I prefer a simple and elegant style." This includes basic spatial data collected by indoor environmental sensing devices, such as the room's length, width, and height, and the location and size of doors and windows. The data processing module cleans this data to remove duplicate and erroneous data, performs noise reduction to eliminate ambiguous or distracting statements, and standardizes it, translating user requirements into specific quantitative indicators, such as "Storage space must account for at least 15% of the space" and "Natural light must cover the main activity area for at least four hours," ultimately generating structured data.

[0038] Model Construction Module: Based on the structured data, the model construction module begins constructing a 3D semantic model. Regarding spatial layout, given the small size of the room, to accommodate storage needs and create a relaxing area, the bedroom is designed with tatami mats, with ample storage drawers underneath. The tatami mats are placed near the window, ensuring both natural light and a relaxing area. The living room adopts an open-plan design, reducing partitions and creating a more spacious feel. Regarding material selection, combining a modern minimalist style with a moderate budget, cost-effective light gray laminate flooring was chosen for the floor, and white latex paint was used for the walls. The color palette is primarily white and light gray, with subtle black metal accents to create a simple, stylish atmosphere. Using these elements, a 3D semantic model is constructed, encompassing the spatial layout, material selection, and color palette.

[0039] Solution Generation Module: The solution generation module utilizes a generative adversarial network algorithm, combined with a spatial layout constraint layer, to generate initial renovation design proposals. The spatial layout constraint layer constrains the generated spatial layout based on basic spatial data, such as the actual dimensions of the room and the location of beams and columns, to avoid situations where furniture cannot be placed or the space is too cramped. Based on the constructed three-dimensional semantic model, the solution generation module generates multiple initial renovation design proposals. For example, in one proposal, the sofa in the living room is retractable to increase storage capacity; in another proposal, a movable bookshelf is installed in the leisure area to facilitate user adjustment of the space layout according to needs. These proposals, while meeting the basic needs of users, showcase different design ideas and details, providing rich material for subsequent design optimization and selection.

[0040] In an embodiment of the present application, an intelligent evaluation unit is also included, wherein the intelligent evaluation unit is used to quantitatively evaluate the initial decoration design plan from three dimensions: space utilization, aesthetic score and environmental adaptability, generate a plan evaluation report, and optimize the initial decoration design plan to generate a target decoration design plan.

[0041] Among them, space utilization is based on basic space data, such as the length, width, and height of the room, the location of doors and windows, and the division of functional areas and furniture layout in the design plan. Spatial analysis algorithms are used to calculate indicators such as the effective use area of ​​the space and the smoothness of traffic lines. The aesthetic score is based on aesthetic principles and design specifications to establish an aesthetic evaluation model. Environmental adaptability is based on the environmental conditions of the space, such as lighting, ventilation, surrounding landscape, etc., as well as the user's living habits and needs, to evaluate whether the design plan can adapt to these factors.

[0042] As you can understand, this embodiment of the application quantitatively evaluates the initial renovation design proposal based on three dimensions: space utilization, aesthetic score, and environmental compatibility. It generates a detailed evaluation report containing specific scores, evaluation basis, issues, and improvement suggestions. Based on the report, the initial proposal is automatically optimized to generate a target renovation design proposal. This feature not only significantly improves the quality of the design proposal, ensuring more efficient space utilization, superior aesthetics, and greater environmental compatibility, but also enhances the user experience by providing personalized optimization options, allowing users to deeply participate in the design process.

[0043] In the embodiment of the present application, the formula for aesthetic scoring is:

[0044] Aesthetic score = color harmony × 0.6 + style consistency × 0.4;

[0045] Among them, color coordination is scored according to the degree of harmony between the hue, brightness, and purity of the colors; style consistency is scored according to the degree of unity of the decoration style elements in the space.

[0046] Specifically, after the design engine unit generates multiple initial decoration design plans for a young office worker's one-bedroom apartment, the intelligent evaluation unit begins to work:

[0047] Space utilization evaluation: The intelligent evaluation unit will analyze the space utilization of each initial plan. For example, in Plan A, part of the living room was transformed into a small independent study, but this resulted in the living room's activity area becoming narrow and the furniture placement being relatively cramped. By calculating the ratio of the actual usable space to the total area of ​​the room, and analyzing whether the furniture layout is reasonable, Plan A was given a space utilization rate of 60 points (out of 100 points). In Plan B, the space under the tatami was reasonably utilized as a storage area, and multifunctional modular furniture was used in the living room, which not only met the storage needs but also ensured that the living room's activity space was spacious. Therefore, Plan B scored 85 points for space utilization.

[0048] Aesthetics Rating Assessment: Scoring is based on the formula "Aesthetics Score = Color Harmony × 0.6 + Style Consistency × 0.4." For Plan A, while the wall and floor colors are harmonious, the furniture selection is somewhat inconsistent with the modern minimalist style, with some complex decorative lines. The evaluation yielded a 7 out of 10 for color harmony and a 6 for style consistency, resulting in an aesthetics score of 7 × 0.6 + 6 × 0.4 = 6.6. Plan B, with its predominantly white and light gray colors, accented by black metal handles and other accents, achieves excellent color harmony and receives a score of 8. The furniture and accessories adhere strictly to the modern minimalist style, resulting in a style consistency score of 8 and an aesthetics score of 8 × 0.6 + 8 × 0.4 = 8.

[0049] Environmental adaptability assessment: Consider both the indoor and outdoor environments. Indoors, Plan A uses some decoration materials with a lower environmental rating, which may affect indoor air quality, resulting in a significant deduction. Plan B, on the other hand, uses materials that meet environmental standards and has a more reasonable lighting and ventilation design, making full use of the window positions to ensure indoor air circulation and ample natural light. Outdoors, due to the relatively simple surroundings of the residential complex where the apartment is located, Plan B's modern minimalist style is more harmonious with the surrounding environment, while some design elements of Plan A appear slightly out of place. Taking into account indoor and outdoor environmental factors, Plan A scored 65 points for environmental adaptability, while Plan B scored 80 points.

[0050] Generate a plan evaluation report: The intelligent evaluation unit generates a plan evaluation report based on the results of the three dimensions mentioned above. The report details that Plan A has shortcomings in space utilization and environmental adaptability, and its aesthetic score needs improvement. Plan B, on the other hand, performs relatively well across all dimensions, but still has room for improvement in some details, such as the lack of user-friendly design in some storage spaces.

[0051] Optimize and generate the target decoration design plan: Based on the evaluation report, the intelligent evaluation unit optimizes the initial plan. For Plan A, adjust the living room layout, eliminate the independent study, and use a flexible folding desk that can be stored when not in use to free up living room space; replace some furniture that does not match the style to enhance the aesthetic effect; and select more environmentally friendly decoration materials to improve the adaptability of the indoor environment. For Plan B, further optimize the design of the storage space and add some humanized details, such as setting up partitions in the tatami storage drawers to facilitate the classification and storage of items. After optimization, the target decoration design plan is generated. This plan combines the advantages of each initial plan and achieves a higher level in terms of space utilization, aesthetics, and environmental adaptability, which is more in line with user needs and actual usage scenarios.

[0052] In an embodiment of the present application, the interactive device 300 includes: a virtual reality terminal and an augmented reality terminal; wherein the virtual reality terminal is used to convert the target decoration design plan into an immersive three-dimensional scene, allowing users to roam in the space and interact with the plan; the augmented reality terminal is used to superimpose the target decoration design plan on the real indoor environment, realizing the real-time fusion display of virtual design and real scene.

[0053] It is understandable that the virtual reality terminal in the embodiment of the present application can transform the target decoration design scheme into a highly realistic three-dimensional virtual space, supporting the user to roam in the space and interact with the scheme, such as Figure 2 As shown, users can open windows to feel the light, or move furniture to try out the layout, so that they can intuitively understand the design effect; the augmented reality terminal superimposes design elements onto the real indoor environment, realizing the real-time fusion display of virtual and real scenes, allowing users to intuitively feel the matching effect and evaluate the feasibility.

[0054] In an embodiment of the present application, the design terminal 100 includes: a design software platform and an intelligent drawing unit; wherein, the design software platform is used by the designer to make detail adjustments, deepen the design, and communicate the plan with the user based on the target decoration design plan; the intelligent drawing unit is used to convert the designer's hand-drawn sketches or modification opinions into digital design elements in real time, and integrate them into the design software platform to achieve efficient design interaction and plan iteration.

[0055] It is understood that the synergy between the design software platform and the intelligent drawing unit in the embodiments of this application not only helps designers design more efficiently, reduces the time spent on manual drawing and modification, and improves design accuracy and quality, but also ensures that solutions are more aligned with user needs through real-time communication and feedback, reducing the risk of late-stage construction changes. Furthermore, users are deeply involved in the design process, previewing the renovation results in advance, enhancing their sense of participation and decision-making power. Intuitive communication and efficient iteration further enhance user experience and satisfaction.

[0056] In an embodiment of the present application, a blockchain evidence storage unit is also included; wherein the blockchain evidence storage unit is used to hash and encrypt the target decoration design plan, user confirmation records and design modification history, and store them on the blockchain network, and realize the copyright confirmation and version management of the design plan through smart contracts.

[0057] It can be understood that the embodiment of the present application uses hash encryption and on-chain storage, blockchain distributed ledger and encryption technology to ensure that design data is secure, complete and tamper-proof, and its decentralized storage also prevents data loss and damage; it uses smart contracts to achieve efficient, accurate and tamper-proof copyright confirmation, and uses the tamper-proof and traceable characteristics of blockchain to achieve copyright traceability and protection, while automatically executing copyright transactions and authorization processes; records design modification history to facilitate version backtracking and comparison, supports data synchronization and consistency of multi-person collaborative design, and automatically coordinates workflows; users can query evidence information to understand the authenticity of the design process, and user confirmation records protect user rights and interests and enhance user trust and satisfaction.

[0058] The embodiment of the present application proposes an intelligent interior decoration design optimization system, which takes the management platform as the core hub, collaborates with design terminals and interactive devices, and comprehensively innovates the traditional decoration design model. The management platform consists of a user management unit and a design engine unit. The former obtains the decoration demand data input by the user (covering personalized requirements such as space function, style preference, budget range, etc.) and the basic space data collected by the indoor environment sensing device (physical information such as room size, orientation, lighting, ventilation, etc.), and uses advanced data analysis and machine learning algorithms to deeply mine and analyze the data, generate accurate user portraits, clearly present user needs and preferences, and provide strong guidance for subsequent design; the latter, based on user portraits and basic space data, uses advanced algorithms and models to quickly generate multiple sets of decoration design plans that fully consider the user's personalized needs and actual characteristics of the space in terms of space layout, material selection, color matching, etc., and are both rich in innovation and diversity. It can also continuously learn and optimize, shorten the design cycle, and improve design efficiency. The design terminal integrates professional design software and tools to assist designers in modifying, optimizing, and refining the plans generated by the design engine. This approach leverages professional knowledge and experience to refine the proposals. It also provides a rich library of design resources (including various design examples and material samples) to provide inspiration and reference, enhancing design efficiency and the professionalism and quality of the proposals. Interactive devices (virtual reality and augmented reality) offer a new experience, allowing users to immerse themselves in the interior design plans. Users can freely navigate the virtual space, intuitively sense the size, layout, and atmosphere of the space, and interact with it in all directions, making real-time suggestions for modifications. The system then adjusts the proposal promptly, enhancing user engagement and satisfaction, ensuring the final plan meets user expectations. The system offers significant advantages: precise requirements capture and efficient data collection, avoiding information bias and improving data collection efficiency and accuracy; innovative design and diverse solutions, breaking the limitations of traditional design; the ability to objectively evaluate and optimize, avoiding the subjectivity of traditional evaluations; a richer experience and user engagement, improving user satisfaction and the relevance of the proposals; and the prospect of enabling copyright protection for design proposals through technical means, encouraging designers to innovate. This solves the problems in existing technologies such as inaccurate demand acquisition, inefficient and error-prone data collection, insufficient design innovation, subjective evaluation, limited experience, and copyright management loopholes.

[0059] The following is a detailed description of an intelligent interior decoration design optimization system through a specific embodiment, the content is as follows:

[0060] Mr. Wang and Ms. Li, a newlywed couple in a first-tier city, plan to renovate their 80-square-meter two-bedroom apartment. The apartment is located on a high floor with good lighting, but the layout has some irregular areas, such as Figure 3As shown, the beam-column structure is quite complex. The couple wanted to create a living space that combined a modern minimalist style with a warm atmosphere, keeping their budget within 250,000 yuan. They also required storage space, room for their children's growth, and an area that could serve as both an office and a leisure area.

[0061] 1. Data Collection and User Profile Generation

[0062] The user management unit of the management platform began operating. Mr. Wang and Ms. Li filled out a renovation needs questionnaire using the system's dedicated app, detailing their style preferences (modern minimalist style, preferring light-colored, clean-lined furniture), functional requirements (a large wardrobe and dressing table in the master bedroom, space reserved for a children's room in the second bedroom, a multifunctional office and leisure area in the living room, and efficient storage in the kitchen), and their budget (250,000 yuan).

[0063] At the same time, professional indoor environment sensing equipment enters the house to collect basic spatial data, using laser rangefinders, 3D scanners and other equipment to accurately obtain information such as the dimensions of each wall in the room, the position and size of doors and windows, the specific position and size of beams and columns, and transmits this data to the user management unit in real time.

[0064] The user management unit leverages big data analytics and machine learning algorithms to integrate and analyze collected renovation demand data and basic space data to generate precise user profiles. These profiles clearly display key information such as the user's emphasis on storage space, their color and style preferences, and the specific priorities for different functional areas.

[0065] 2. Design Engine Unit Generates Initial Plan

[0066] After the design engine receives the user profile and basic spatial data, the data processing module immediately cleans, reduces noise, and standardizes the data. This removes duplicate and erroneous data, eliminates ambiguous statements, and translates user requirements into specific quantitative indicators, such as "the master bedroom wardrobe must have a storage volume of at least 3 cubic meters" and "the living room office and leisure area must be at least 8 square meters," generating structured data.

[0067] The model building module begins constructing a three-dimensional semantic model based on structured data. Regarding spatial layout, the master bedroom is located near an area with good lighting, and a customized built-in wardrobe and dressing table are designed. The second bedroom is planned as a children's room, with space reserved for expansion and placement of multifunctional furniture. The living room adopts an open layout, utilizing irregular areas to design modular bookshelves and foldable desks to form a work and leisure area. The kitchen is designed with L-shaped cabinets based on the spatial structure and equipped with various efficient storage accessories. In terms of material selection, the floor is made of wear-resistant and easy-to-clean light gray composite wood flooring, the walls are painted with environmentally friendly white latex paint, and the furniture is mainly white with black metal frames in a modern, minimalist style. The overall color scheme is white and light gray, with local embellishments such as green plants and colorful decorative paintings to create a warm atmosphere.

[0068] The solution generation module utilizes a generative adversarial network algorithm, combined with a spatial layout constraint layer, to generate multiple initial renovation design proposals based on a 3D semantic model. Taking into account the house's beam-column structure, the spatial layout constraint layer restricts furniture placement and space division to ensure the feasibility of the proposed solutions. For example, one solution incorporates a flexible, movable partition in the living room's office and leisure area, allowing for adjustments in size. Another solution incorporates a retractable desk and modular bedside cabinet in the children's room to meet the varying needs of children as they grow.

[0069] 3. Intelligent Assessment Unit Optimization Solution

[0070] like Figure 4 As shown in the figure, the intelligent evaluation unit conducts a quantitative evaluation of the initial decoration design plan from three dimensions: space utilization, aesthetic score and environmental adaptability.

[0071] In terms of space utilization, the actual usable area and spatial flow of each functional area in each plan were analyzed and calculated. For example, in one plan, due to the oversized furniture in the children's room, the space for activities was limited, resulting in a space utilization rate of only 65 points. In contrast, another plan, through reasonable planning and full utilization of every corner, achieved a space utilization rate of 88 points.

[0072] Aesthetic scoring is based on the formula: "Aesthetic score = Color harmony × 0.6 + Style consistency × 0.4." For one design, the color scheme was relatively monotonous, resulting in a Color harmony score of 7. The furniture and decorative elements were uniform in style, resulting in a Style consistency score of 8, giving an Aesthetic score of 7 × 0.6 + 8 × 0.4 = 7.4. For another design, the color scheme was harmonious and rich in layers, resulting in a Color harmony score of 8.5. The style was highly consistent, resulting in a Style consistency score of 9, giving an Aesthetic score of 8.5 × 0.6 + 9 × 0.4 = 8.7.

[0073] Environmental compatibility is assessed based on the building's lighting and ventilation conditions, as well as the surrounding environment. Indoors, the environmental compatibility and sound insulation of the finishing materials are evaluated. Outdoors, the design's coordination with the overall neighborhood environment is considered. One design scored 70 points for environmental compatibility due to the use of low-quality materials and insufficient utilization of daylight. Another design, which utilized environmentally friendly materials, had a well-designed window shading and ventilation system that coordinated with the surrounding style, received an 85-point environmental compatibility score.

[0074] Based on the results, the intelligent evaluation unit generates a detailed plan evaluation report, identifying the strengths and weaknesses of each plan. Based on this report, the initial plan is optimized, such as by adjusting furniture size and layout, improving color matching, and replacing more suitable finishing materials, ultimately generating a target design.

[0075] 4. Design terminal assists in deepening design

[0076] The designer receives the target interior design plan through the design terminal's design software platform and, drawing on their expertise and experience, makes detailed adjustments and refines the design. Using the intelligent drawing unit, the designer's hand-drawn sketches are converted into digital design elements in real time and integrated into the design software platform. For example, if the designer makes changes to the hand-drawn living room decor details, the intelligent drawing unit quickly converts them into a digital model and updates the overall plan. Simultaneously, the designer communicates with Mr. Wang and Ms. Li in real time through the design software platform, further refining the plan based on their feedback to ensure that the design meets both professional requirements and user expectations.

[0077] 5. Interactive devices provide an immersive experience

[0078] Mr. Wang and Ms. Li used the interactive device's virtual reality terminal to enter an immersive 3D scene and explore the space of their target renovation design. They could freely move through each room, examine the furniture placement, sense the spatial scale, and even simulate operations like opening windows and turning lights on and off, giving them a direct feel for the resulting effect. During the experience, they noticed that the color scheme of the children's room was too monotonous and offered suggestions for revisions through the interactive device.

[0079] The augmented reality device overlays the target interior design onto the real interior environment, allowing the couple to see the integration of the virtual design and the real scene in the house, allowing them to more accurately assess the feasibility and aesthetics of the design. For example, they can use the augmented reality device to view the design of the living room office and leisure area in the actual space and make further layout adjustments.

[0080] 6. Blockchain Evidence Storage to Protect Copyright and Management

[0081] The blockchain evidence storage unit hashes and stores the finalized target renovation design, Mr. Wang and Ms. Li's confirmation records, and the design modification history on the blockchain network. Smart contracts confirm the copyright of the design, clarifying the rights and interests of designers and users. Subsequent disputes regarding the use, transaction, or copyright of the design can be quickly traced and verified through blockchain records. Furthermore, the on-chain storage of the design modification history allows all parties to review the design's evolution at any time, ensuring transparency and traceability of the design process.

[0082] In summary, after the above complete process of the embodiment of the present application, Mr. Wang and Ms. Li obtained a set of high-quality decoration design solutions that fully meet their needs. The whole process is efficient and intelligent, fully demonstrating the advantages and value of this intelligent interior decoration design optimization system.

[0083] Next, an intelligent interior decoration design optimization method proposed according to an embodiment of the present application will be described with reference to the accompanying drawings.

[0084] like Figure 5 As shown, the intelligent interior decoration design optimization method includes the following steps:

[0085] In step S101, user decoration demand data and indoor environment space data are obtained.

[0086] Among them, user decoration demand data refers to information about users' expectations, preferences, functional requirements, etc. for decoration, including decoration style (such as modern simplicity, European classical, etc.), color matching preferences, furniture layout requirements (such as the placement of sofas in the living room, the size and direction of bedrooms, etc.), special functional requirements (such as a quiet environment in the study, sufficient storage space in the kitchen, etc.) and budget range, etc.; indoor environment space data may include the dimensions of the space (such as length, width, height), shape (such as square, rectangular, special shape, etc.), door and window position and size, wall structure (load-bearing wall, non-load-bearing wall, etc.), orientation (affecting lighting and ventilation), floor height, surrounding environment (such as whether there is a noise source, visual conditions, etc.), etc.

[0087] It can be understood that the embodiment of the present application obtains user decoration demand data and indoor environment space data, laying a solid foundation for subsequent decoration design.

[0088] In step S102, a user demand model is constructed according to the user decoration demand data and the indoor environment space data, structured data is generated according to the user demand model, and a three-dimensional semantic model is constructed according to the generated structured data.

[0089] It is understood that the embodiments of this application achieve the transformation from user needs and spatial characteristics into computable and visual design data by constructing a user needs model based on user renovation demand data and indoor environment space data, thereby generating structured data and building a three-dimensional semantic model. This transforms abstract needs and actual spaces into a computer-processable form, providing a precise foundation for interior design. This significantly improves the scientific nature and accuracy of the design, allowing it to better align with the user's personalized needs and the actual space conditions.

[0090] In step S103, a generative adversarial network algorithm is used based on the three-dimensional semantic model and combined with the spatial layout constraint layer to generate multiple sets of initial decoration design plans.

[0091] It is understood that the embodiments of this application generate multiple initial renovation design proposals based on a 3D semantic model, using a generative adversarial network algorithm and integrating a spatial layout constraint layer. The 3D semantic model provides precise spatial information, the generative adversarial network algorithm demonstrates its powerful generation capabilities, and the spatial layout constraint layer ensures the rationality of the proposals. These three collaboratively transform abstract design requirements into concrete and feasible solutions, significantly improving the efficiency and diversity of renovation design proposal generation, and enabling the rapid production of multiple proposals that meet the spatial characteristics and potential user needs.

[0092] In step S104, a quantitative evaluation is performed based on space utilization, aesthetics, and environmental adaptability to obtain an evaluation result, and multiple sets of initial decoration design schemes are optimized based on the evaluation result to obtain a target decoration design scheme.

[0093] It is understood that the embodiments of this application conduct quantitative evaluations based on space utilization, aesthetics, and environmental adaptability, and optimize the initial renovation design based on the results to obtain a target solution. Through scientific quantitative methods, the initial solution's performance in terms of space utilization, visual aesthetics, and coordination with the surrounding environment is comprehensively and objectively measured. The evaluation results are used to accurately identify the strengths and weaknesses of the solution, and targeted optimization and adjustment are made, resulting in a target renovation design solution that achieves a higher level of performance in multiple aspects, ensuring that the solution is highly consistent with user needs and the actual space conditions, and improving the renovation effect and user experience.

[0094] The embodiment of the present application proposes an intelligent interior decoration design optimization method, which obtains user decoration needs and indoor environmental space data, builds a user demand model and generates structured data, and then builds a three-dimensional semantic model. It then uses a generative adversarial network algorithm combined with a spatial layout constraint layer to generate multiple sets of initial decoration design solutions. Finally, the target solution is obtained through quantitative evaluation and optimization of space utilization, aesthetics, and environmental adaptability. By integrating user needs and spatial characteristics, a variety of initial solutions are generated with the help of advanced algorithms, and the solution optimization is achieved through scientific evaluation. This significantly improves the accuracy, scientificity, and practicality of the decoration design, making the final solution more in line with user expectations and spatial reality, and providing users with high-quality, personalized decoration design solutions. As a result, the problems of inaccurate demand acquisition, inefficient and error-prone data collection, insufficient design innovation, subjective evaluation, limited experience, and copyright management loopholes in the existing technology are solved.

[0095] Figure 6 This is a schematic diagram of the structure of an electronic device provided in an embodiment of the present application. The electronic device may include:

[0096] A memory 601 , a processor 602 , and a computer program stored in the memory 601 and executable on the processor 602 .

[0097] When the processor 602 executes the program, an intelligent interior decoration design optimization method provided in the above embodiment is implemented.

[0098] Furthermore, the electronic device further includes:

[0099] The communication interface 603 is used for communication between the memory 601 and the processor 602 .

[0100] The memory 601 is used to store computer programs that can be run on the processor 602 .

[0101] The memory 601 may include a high-speed RAM (Random Access Memory) memory, and may also include a non-volatile memory, such as at least one disk memory.

[0102] If the memory 601, the processor 602, and the communication interface 603 are implemented independently, the communication interface 603, the memory 601, and the processor 602 can be connected to each other via a bus and communicate with each other. The bus can be an ISA (Industry Standard Architecture) bus, a PCI (Peripheral Component Interconnect) bus, or an EISA (Extended Industry Standard Architecture) bus. The bus can be divided into an address bus, a data bus, a control bus, etc. For ease of representation, Figure 6 Only one thick line is used in the diagram, but this does not mean that there is only one bus or one type of bus.

[0103] Optionally, in a specific implementation, if the memory 601, the processor 602 and the communication interface 603 are integrated on a chip, the memory 601, the processor 602 and the communication interface 603 can communicate with each other through an internal interface.

[0104] The processor 602 may be a CPU (Central Processing Unit), or an ASIC (Application Specific Integrated Circuit), or one or more integrated circuits configured to implement the embodiments of the present application.

[0105] A computer-readable storage medium stores a computer program or instruction, which, when executed, implements an intelligent interior decoration design optimization method.

[0106] In the description of this specification, reference to the terms "one embodiment," "some embodiments," "example," "specific example," or "some examples" means that the specific features, structures, materials, or characteristics described in conjunction with the embodiment or example are included in at least one embodiment or example of the present application. In this specification, the schematic representations of the above terms do not necessarily refer to the same embodiment or example. Moreover, the specific features, structures, materials, or characteristics described can be combined in any appropriate manner in any one or more embodiments or examples. In addition, those skilled in the art can combine and combine different embodiments or examples described in this specification, as well as features of different embodiments or examples, unless they are mutually inconsistent.

[0107] Furthermore, the terms "first" and "second" are used for descriptive purposes only and should not be construed as indicating or implying relative importance or implicitly specifying the number of technical features being referred to. Thus, a feature specified as "first" or "second" may explicitly or implicitly include at least one such feature. Throughout the description of this application, "plurality" means at least two, for example, two, three, etc., unless otherwise specifically defined.

[0108] Any process or method description in a flowchart or otherwise described herein may be understood to represent a module, segment or portion of code comprising one or more executable instructions for implementing the steps of a custom logical function or process, and the scope of the preferred embodiments of the present application includes alternative implementations in which functions may be performed out of the order shown or discussed, including performing functions in a substantially simultaneous manner or in the reverse order depending on the functions involved, which should be understood by those skilled in the art to which the embodiments of the present application belong.

[0109] It should be understood that various parts of the present application can be implemented using hardware, software, firmware, or a combination thereof. In the above embodiments, multiple steps or methods can be implemented using software or firmware stored in a memory and executed by a suitable instruction execution system. For example, if implemented using hardware, as in another embodiment, any one of the following technologies known in the art or a combination thereof can be used to implement: a discrete logic circuit having a logic gate circuit for implementing a logic function on a data signal, an application-specific integrated circuit having a suitable combination of logic gate circuits, a programmable gate array (PGA), a field programmable gate array (FPGA), etc.

[0110] Although the embodiments of the present application have been shown and described above, it can be understood that the above embodiments are exemplary and cannot be understood as limitations on the present application. Ordinary technicians in this field can change, modify, replace and modify the above embodiments within the scope of the present application.

Claims

1. An intelligent interior decoration design optimization system, characterized in that: include: Management platform, design terminal and interactive equipment; among them, The management platform includes a user management unit and a design engine unit, wherein the user management unit is used to obtain decoration demand data input by the user and the basic space data collected by the indoor environment sensing device, and generate a user profile based on the decoration demand data; the design engine unit is used to generate multiple decoration design plans based on the user profile and the basic space data; The design terminal is used to assist designers in processing decoration design plans; The interactive device is used to enable users to interactively experience the decoration design plan.

2. The intelligent interior decoration design optimization system according to claim 1 is characterized in that: The design engine unit includes: a data processing module, a model building module and a solution generation module; wherein, The data processing module is used to clean, reduce noise and standardize the decoration demand data and space basic data to generate structured data; The model building module is used to build a three-dimensional semantic model including space layout, material selection and color matching based on the structured data; The scheme generation module uses a generative adversarial network algorithm and adds a spatial layout constraint layer to the generator, wherein the spatial layout constraint layer is used to constrain the generated spatial layout according to the spatial basic data; and generates multiple sets of initial decoration design schemes based on the three-dimensional semantic model.

3. The intelligent interior decoration design optimization system according to claim 1 is characterized in that: It also includes an intelligent evaluation unit, wherein the intelligent evaluation unit is used to quantitatively evaluate the initial decoration design plan from three dimensions: space utilization, aesthetic score and environmental adaptability, generate a plan evaluation report, and optimize the initial decoration design plan to generate a target decoration design plan.

4. The intelligent interior decoration design optimization system according to claim 3 is characterized in that: The formula for the aesthetic score is: Aesthetic score = color harmony × 0.6 + style consistency × 0.4; Among them, color coordination is scored according to the degree of harmony between the hue, brightness, and purity of the colors; style consistency is scored according to the degree of unity of the decoration style elements in the space.

5. The intelligent interior decoration design optimization system according to claim 1 is characterized in that: The interactive device includes: a virtual reality terminal and an augmented reality terminal; wherein, The virtual reality terminal is used to convert the target decoration design plan into an immersive three-dimensional scene, allowing the user to roam in the space and interact with the plan; The augmented reality terminal is used to superimpose the target decoration design scheme on the real indoor environment, realizing the real-time fusion display of virtual design and real scene.

6. The intelligent interior decoration design optimization system according to claim 1 is characterized in that: The design terminal includes: a design software platform and an intelligent drawing unit; wherein, The design software platform is used by designers to make detailed adjustments, deepen the design, and communicate with users on the target decoration design plan; The intelligent drawing unit is used to convert the designer's hand-drawn sketches or modification opinions into digital design elements in real time, and integrate them into the design software platform to achieve efficient design interaction and solution iteration.

7. The intelligent interior decoration design optimization system according to claim 1 is characterized in that: It also includes a blockchain evidence storage unit; wherein, the blockchain evidence storage unit is used to hash and encrypt the target decoration design plan, user confirmation records and design modification history, and store them on the blockchain network, and realize the copyright confirmation and version management of the design plan through smart contracts.

8. An intelligent interior decoration design optimization method applied to any one of claims 1-7, characterized in that: The method comprises: Obtain user decoration demand data and indoor environment space data; Building a user demand model based on the user decoration demand data and the indoor environment space data, generating structured data based on the user demand model, and building a three-dimensional semantic model based on the generated structured data; Generate multiple sets of initial decoration design plans based on the three-dimensional semantic model using a generative adversarial network algorithm and combining it with a spatial layout constraint layer; A quantitative evaluation is performed based on space utilization, aesthetics, and environmental adaptability to obtain an evaluation result, and the multiple sets of initial decoration design schemes are optimized based on the evaluation result to obtain a target decoration design scheme.

9. An electronic device, characterized in that: The invention comprises a memory, a processor and a computer program stored in the memory and runnable on the processor. The processor executes the program to implement the intelligent interior decoration design optimization method described in claim 8.

10. A computer-readable storage medium having a computer program or instruction stored thereon, characterized in that: When the computer program or instructions are executed, the intelligent interior decoration design optimization method described in claim 8 is implemented.

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