Visual indoor decoration engineering online design system and method

Abstract

The invention discloses a visual indoor decoration engineering online design system and method, and relates to the technical field of building and indoor design, a scheme display module displays a to-be-optimized design scheme by using a visual function of decoration effect picture design software, and a user can perform interactive viewing and editing after logging in; the satisfaction investigation module judges whether a design effect difference evaluation instruction is sent or not according to the user evaluation satisfaction Dmy, and collects user feedback data to construct opinion feedback information; the data acquisition module is used for acquiring furniture layout, material use and color data of the design scheme to be optimized by utilizing a modeling parameter retrieval function based on the difference evaluation instruction; the effect difference evaluation module is used for comparing the user feedback data information with related layout information data, related material information data and related color information data, and fitting to obtain a design effect difference evaluation index Zcy; the optimization design module compares the data with a preset threshold value Y and judges whether redesign is needed or not.

Description

Technical Field

[0001] The present invention relates to the technical field of architecture and interior design, and in particular to a visual online design system and method for interior decoration projects. Background Art

[0002] In today's big data-driven architecture and interior design field, it covers many aspects such as the design of the architectural environment, visualization and space optimization. Specifically in interior decoration design, digital and intelligent technologies are gradually penetrating into every link of the design process to enhance the accuracy, interactivity and user participation of the design. In the niche field of interior design, the online visual decoration design system uses computer graphics, virtual reality (VR), augmented reality (AR) and other advanced technologies. Designers can use 3D rendering software to efficiently display design plans, allowing users to intuitively understand the effects after decoration, helping users to obtain ideal effects before decoration is implemented, and further improve satisfaction.

[0003] Although in the existing online design technology of visual interior decoration projects, designers can provide intuitive design effects through 3D visual display, so that users can clearly see the future decoration effects in the early design stage, there are significant deficiencies in the iterative process of design solutions, especially the lack of automated user satisfaction surveys, opinion collection and intelligent effect difference evaluation functions. Most of the existing technologies only provide static design displays and simple feedback methods, and it is difficult to quickly and effectively apply user feedback to design improvements; at the same time, the existing technology is relatively lacking in capturing users' preferences for furniture layout, materials and colors, and it is difficult to timely integrate the specific improvement requirements proposed by users during the iterative process of design solutions. At the same time, such a design process makes the feedback cycle long, and it is difficult for designers to accurately grasp users' preferences and improvement needs. It is usually necessary to manually adjust multiple design details and lack intelligent difference analysis. Especially when users put forward many improvement suggestions, it is difficult to intelligently judge whether to choose a comprehensive reset solution or to improve on the existing basis. This process without design level judgment is prone to inefficiency. Summary of the invention

[0004] In view of the deficiencies in the prior art, the present invention provides a visual online design system and method for interior decoration projects, which solve the problems in the above-mentioned background technology.

[0005] To achieve the above objectives, the present invention is implemented through the following technical solutions: a visual online design system for interior decoration engineering, including a scheme display module, a satisfaction survey module, a data collection module, an effect difference evaluation module and an optimization design module; The scheme display module is used to utilize the visual display function of the computer decoration effect design software, and after logging in the user to view the account, interactively view and improve the content editing of the design scheme to be optimized in combination with the user's design needs; The satisfaction survey module is used to determine whether to issue a design effect difference evaluation instruction based on the user's evaluation satisfaction Dmy after viewing the design scheme to be optimized after the user logs in to view the design scheme to be optimized; and monitor and record user feedback data in combination with the improvement content of the design scheme to be optimized to construct user feedback data information; The data acquisition module collects the furniture space layout, surface material usage and lighting color matching of the indoor room corresponding to the design scheme to be optimized based on the received design effect difference evaluation instruction and in combination with the modeling parameter retrieval function of the computer decoration effect design software, and constructs relevant layout information data, relevant material information data and relevant color information data respectively after feature extraction and classification; The effect difference evaluation module is used to compare the user feedback data information with the relevant layout information data, relevant material information data and relevant color information data, and obtain the design effect difference evaluation index Zcy by fitting; The optimization design module is used to pre-set the difference evaluation threshold Y, and compare and analyze the design effect difference evaluation index Zcy with the difference evaluation threshold Y to comprehensively judge the optimization design level of the current design scheme to be optimized, and notify the designer whether redesign is needed according to the corresponding optimization design level.

[0006] Preferably, the solution display module includes a design unit and a viewing unit; The design unit is used to obtain relevant design requirements based on face-to-face interviews, feedback meetings and questionnaires with users in the early stage, perform 3D modeling and rendering through computer decoration effect design software, construct virtual visual images to generate a design scheme to be optimized, and use the visualization display function of the computer decoration effect design software to display the three-dimensional effect. The computer decoration effect design software includes AutoCAD, 3ds Max and Roomstyler 3D Home Planner. The relevant design requirements include furniture space layout requirements, surface material texture requirements and lighting color matching requirements in the indoor area; The viewing unit is used for the user to log in to the user viewing account of the computer decoration effect design software, and to view the various indoor areas and related details of the design scheme to be optimized through relevant interactive operations such as rotating the viewing angle, zooming in and out, and switching different indoor areas. According to the user evaluation and feedback function embedded in the computer decoration effect design software, the user edits and improves the content of the design scheme to be optimized and forms a record.

[0007] Preferably, the satisfaction survey module includes a satisfaction survey unit and an opinion collection unit; The satisfaction survey unit is used to determine whether to issue a design effect difference evaluation instruction according to the user's evaluation of the satisfaction Dmy after viewing the design scheme to be optimized after the user logs in to the computer decoration effect design software and checks the account. The specific contents are as follows; If the satisfaction level Dmy is "unsatisfactory", it means that the design scheme to be optimized does not meet the relevant design requirements proposed by the user in the early stage, and a design effect difference evaluation instruction is issued at the same time; if the satisfaction level Dmy is "satisfactory", it means that the design scheme to be optimized meets the relevant design requirements proposed by the user in the early stage, and the designer does not need to make unnecessary relevant design changes, and no additional design effect difference evaluation instruction is issued; The opinion collection unit is used to monitor and record user feedback data based on whether the design scheme to be optimized does not meet the relevant design requirements proposed by the user in the early stage, and in combination with the improvement content of the design scheme to be optimized, to construct user feedback data information, wherein the user feedback data information includes the furniture adjustment space position (X i , Y i , Z i ), surface adjustment using material CSS j and light adjustment color value SYS f .

[0008] Preferably, the data acquisition module includes a layout information acquisition unit, a material information acquisition unit, and a color information acquisition unit; The layout information acquisition unit collects the furniture space layout of the indoor room corresponding to the design scheme to be optimized based on the received design effect difference evaluation instruction and in combination with the modeling parameter retrieval function of the computer decoration effect design software, and constructs relevant layout information data after feature extraction and classification, wherein the relevant layout information data includes the actual spatial position of the furniture (x i ,y i , z i ); The material information collection unit collects the surface material usage of the interior room of the to-be-optimized design scheme based on the received design effect difference evaluation instruction and the modeling parameter retrieval function of the computer decoration effect design software, and constructs relevant material information data after feature extraction and classification, and the relevant material information data includes the css of the actual surface material used. j ; The color information acquisition unit collects the lighting color matching of the interior room of the design scheme to be optimized based on the received design effect difference evaluation instruction and the modeling parameter retrieval function of the computer decoration effect design software, and constructs relevant color information data after feature extraction and classification. The relevant color information data includes the actual color value sys of the light. f .

[0009] Preferably, the effect difference evaluation module includes a layout difference analysis unit, a material difference analysis unit, a color difference analysis unit and a design effect difference evaluation unit; The layout difference analysis unit is used to compare and analyze the user feedback data information with the relevant layout information data, and obtain the layout effect difference coefficient Xbj after feature extraction. The layout effect difference coefficient Xbj is calculated and obtained by the following formula; ; Where, X i It is represented as the X-axis coordinate value of the adjusted spatial position of the i-th furniture, i It is represented as the Y-axis coordinate value of the adjusted spatial position of the i-th furniture, and Z i It is represented as the Z-axis coordinate value of the adjusted spatial position of the i-th furniture, x i It is represented by the X-axis coordinate value of the actual spatial position of the i-th furniture, i It is represented by the Y-axis coordinate value of the actual spatial position of the i-th furniture, z i It is represented as the Z-axis coordinate value of the actual spatial position of the i-th furniture. It is expressed as the maximum deviation distance allowed for the spatial position of the i-th furniture, where i=1, 2, 3, ..., n, and n represents the number of furniture.

[0010] Preferably, the material difference analysis unit is used to compare and analyze the user feedback data information with relevant material information data, and obtain the material effect difference coefficient Xcz after feature extraction. The material effect difference coefficient Xcz is calculated and obtained by the following formula; ; In the formula, CSS j Indicates that the jth surface is adjusted using material, css j It is represented by the actual material used by the j-th surface. Specifically, it is a binary indicator function, which is used for material matching and determines the use of material CSS for surface adjustment. j With the actual use of surface material css j Are they the same? j=1, 2, 3, ..., m, where m represents the material type.

[0011] Preferably, the color difference analysis unit is used to compare and analyze the user feedback data information with the relevant color information data, and obtain the color effect difference coefficient Xsc after feature extraction. The color effect difference coefficient Xsc is calculated and obtained by the following formula: ; In the formula, SYS f Indicates the color value of the f-th light, sys f It is represented as the actual color value of the f-th light, where f=1, 2, 3, ..., v, and v represents the color value type.

[0012] Preferably, the design effect difference evaluation unit is used to compare the user feedback data information with the relevant layout information data, the relevant material information data and the relevant color information data, respectively, and obtain the design effect difference evaluation index Zcy by fitting. The design effect difference evaluation index Zcy is calculated and obtained by the following formula: ; In the formula, Xbj represents the layout effect difference coefficient, Xcz represents the material effect difference coefficient, and Xsc represents the color effect difference coefficient. , and They are respectively expressed as the weight values ​​of the layout effect difference coefficient Xbj, the material effect difference coefficient Xcz and the color effect difference coefficient Xsc, and A is expressed as a correction constant.

[0013] Preferably, the optimization design module is used to pre-set a difference evaluation threshold Y, and compare and analyze the design effect difference evaluation index Zcy with the difference evaluation threshold Y to comprehensively judge the optimization design level of the current design scheme to be optimized, and notify the designer whether redesign is required according to the corresponding optimization design level. The specific contents are as follows; If the design effect difference evaluation index Zcy ≥ the difference evaluation threshold Y, it means that the improvement content of the current user is significantly different from the design scheme to be optimized, and the first-level optimization design level is obtained, which means that it is a cumbersome process to make design improvements based on the design scheme to be optimized, and it is faster to redesign. It is recommended that the designer redesign according to the user's improvement content; If the design effect difference evaluation index Zcy is less than the difference evaluation threshold Y, it means that the improvement content of the current user is not significantly different from the design scheme to be optimized, and a secondary optimization design level is obtained. It is recommended that the designer make design improvements based on the design scheme to be optimized according to the user's improvement content.

[0014] A visual online design method for interior decoration engineering includes the following steps: Step 1: Use the visual display function of the computer decoration effect design software, log in to the user account, and interactively view and improve the content editing of the design scheme to be optimized in combination with the user's design needs; Step 2: after the user logs in to view the design scheme to be optimized, determine whether to issue a design effect difference evaluation instruction based on the user's evaluation satisfaction Dmy after viewing the design scheme to be optimized; and monitor and record user feedback data in combination with the improvement content of the design scheme to be optimized to construct user feedback data information; Step 3: Based on the received design effect difference evaluation instruction, combined with the modeling parameter retrieval function of the computer decoration effect design software, the furniture space layout, surface material usage and lighting color matching of the indoor room corresponding to the design scheme to be optimized are collected, and after feature extraction and classification, relevant layout information data, relevant material information data and relevant color information data are constructed respectively; Step 4: Compare the user feedback data with the relevant layout information data, relevant material information data and relevant color information data, and obtain the design effect difference evaluation index Zcy by fitting; Step 5: pre-set the difference evaluation threshold Y, compare and analyze the design effect difference evaluation index Zcy with the difference evaluation threshold Y to comprehensively judge the optimization level of the current design scheme to be optimized, and notify the designer whether redesign is needed according to the corresponding optimization level.

[0015] The present invention provides a visual online design system and method for interior decoration engineering, which has the following beneficial effects: (1) By integrating solution display, satisfaction survey, data collection, effect difference evaluation and design optimization modules, the design process is fully optimized and intelligently improved. The 3D rendering display function allows users to intuitively view and experience the design solution from multiple angles in real-time interaction, which enhances user participation. At the same time, through the automated collection of user opinions and feedback collation, the communication cost between users and designers is reduced, and user feedback is converted into structured data, making the design solution adjustment process more systematic and efficient. The system realizes the automated management and transmission of design feedback data, helping designers to quickly capture users' actual needs for furniture layout, materials and lighting colors. More importantly, the system uses the effect difference evaluation module and the optimization design module to The difference evaluation index Zcy and the preset difference evaluation threshold Y are used to judge the degree of change of user needs and generate corresponding optimization level suggestions, suggesting that designers choose to redesign or make small changes based on the solution. This intelligent judgment process integrates the specific improvement requirements put forward by users during the iteration of design solutions. At the same time, such a design process reduces the feedback cycle and enables designers to accurately grasp user preferences and improvement needs. When users put forward more improvement suggestions, the intelligent judgment is made to choose whether to comprehensively reset the solution or to improve on the existing basis, eliminating the tedious design optimization operations based on the design solution to be optimized, improving the efficiency and accuracy of design solution optimization, making the final design results more in line with user expectations, while also improving the work efficiency of designers and optimizing the user experience and design effects of interior decoration design.

[0016] (2) Through the integration of satisfaction evaluation and user opinion data, the intelligent and data-based management of the design process is realized. The satisfaction level Dmy is automatically detected after the user views the design plan. If the satisfaction level Dmy is "unsatisfied", a design effect difference evaluation instruction is directly issued; if the satisfaction level Dmy is "satisfied", no further instructions are required. In this way, different user feedback will automatically activate different subsequent processing processes. Detailed feedback data is also constructed based on the user feedback information, including furniture layout position adjustment, material replacement requirements and lighting color optimization opinions. Compared with the traditional design feedback that relies on manual collection and communication, the automatic collection and organization of user feedback is realized, which provides a clear reference basis for subsequent effect difference evaluation and optimization design. Through this process, designers can quickly and accurately grasp the detailed needs and opinions of users, so that the design adjustments are more in line with user expectations.

[0017] (3) By combining the effect difference evaluation module with the optimization design module, intelligent difference evaluation and optimization decision-making functions are realized. First, the user feedback data is compared with the layout, material and color information in the actual design scheme, and the design effect difference evaluation index Zcy is generated by automatic fitting calculation. The optimization design module determines whether redesign is needed or only partial adjustment is needed based on the comparison between the design effect difference evaluation index Zcy and the preset difference evaluation threshold Y. If the design effect difference evaluation index Zcy is higher than or equal to the difference evaluation threshold Y, it means that the change demand is large, and it is recommended that the designer directly redesign to avoid the inefficiency caused by repeated adjustments based on too many improvement contents; if the design effect difference evaluation index Zcy is lower than the difference evaluation threshold Y, it is prompted that the designer only needs to make a small-scale optimization on the existing scheme. In this way, through automated difference evaluation and optimization level judgment, designers can reasonably allocate adjustment resources, avoid cumbersome change process, improve the efficiency and accuracy of design adjustment, enable users' improvement needs to be responded to efficiently, and improve the overall design quality and work efficiency. BRIEF DESCRIPTION OF THE DRAWINGS

[0018] Figure 1 This is a block diagram of a visual online design system for interior decoration engineering of the present invention; Figure 2 The present invention is a flow chart of a visual online design method for interior decoration projects. DETAILED DESCRIPTION

[0019] The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0020] Example 1 See also Figure 1 ,The present invention provides a visual online design system for interior decoration engineering, including a scheme display module, a satisfaction survey module, a data collection module, an effect difference evaluation module and an optimization design module; The scheme display module is used to utilize the visual display function of the computer decoration effect design software, and after logging in the user to view the account, interactively view and improve the content editing of the design scheme to be optimized in combination with the user's design needs; The satisfaction survey module is used to determine whether to issue a design effect difference evaluation instruction based on the user's evaluation satisfaction Dmy after viewing the design scheme to be optimized after the user logs in to view the design scheme to be optimized; and monitor and record user feedback data in combination with the improvement content of the design scheme to be optimized to construct user feedback data information; The data acquisition module collects the furniture space layout, surface material usage and lighting color matching of the indoor room corresponding to the design scheme to be optimized based on the received design effect difference evaluation instruction and in combination with the modeling parameter retrieval function of the computer decoration effect design software, and constructs relevant layout information data, relevant material information data and relevant color information data respectively after feature extraction and classification; The effect difference evaluation module is used to compare the user feedback data information with the relevant layout information data, relevant material information data and relevant color information data, and obtain the design effect difference evaluation index Zcy by fitting; The optimization design module is used to pre-set the difference evaluation threshold Y, and compare and analyze the design effect difference evaluation index Zcy with the difference evaluation threshold Y to comprehensively judge the optimization design level of the current design scheme to be optimized, and notify the designer whether redesign is needed according to the corresponding optimization design level.

[0021] In this embodiment, an efficient closed-loop management of the design process is achieved through a complete modular process from solution display to user satisfaction survey, data collection, effect difference evaluation and optimized design. First, users can intuitively view and interactively experience the design solution in the solution display module to ensure that the design effect closely matches their own needs; then, the satisfaction survey module can automatically collect user feedback, timely transmit specific improvement requirements, and effectively shorten the feedback cycle. The data collection module can accurately capture and organize various details in the design by extracting and classifying furniture layout, material and color data, which is convenient for subsequent difference analysis. The design effect difference evaluation index Zcy calculated by the effect difference evaluation module can intelligently analyze the matching degree between user feedback and the actual solution. Finally, in the optimized design module, the adjustment solution is reasonably judged based on the preset difference evaluation threshold Y, ensuring that the designer efficiently adjusts the design according to the optimization level. Overall, it not only greatly improves the user's participation experience and the satisfaction of personalized needs, but also realizes the intelligent and precise management of design feedback and adjustment, so that the design solution can quickly respond to user feedback and avoid inefficient operations caused by cumbersome adjustments and changes, thereby improving the overall efficiency and quality of the design process.

[0022] Example 2 Please refer to Figure 1 ,Specifically: the scheme display module includes a design unit and a viewing unit; The design unit is used to obtain relevant design requirements based on face-to-face interviews, feedback meetings and questionnaires with users in the early stage, perform 3D modeling and rendering through computer decoration effect design software, construct virtual visual images to generate a design scheme to be optimized, and use the visualization display function of the computer decoration effect design software to display the three-dimensional effect. The computer decoration effect design software includes AutoCAD, 3ds Max and Roomstyler 3D Home Planner. The relevant design requirements include furniture space layout requirements, surface material texture requirements and lighting color matching requirements in the indoor area; The viewing unit is used for the user to log in to the user viewing account of the computer decoration effect design software, and to view the various indoor areas and related details of the design scheme to be optimized through relevant interactive operations such as rotating the viewing angle, zooming in and out, and switching different indoor areas. According to the user evaluation and feedback function embedded in the computer decoration effect design software, the user edits and improves the content of the design scheme to be optimized and forms a record.

[0023] In this embodiment, through the collaborative work of the design unit and the viewing unit, an efficient process of user demand capture, design generation and interactive viewing is achieved. The design unit combines the user design needs obtained through preliminary interviews, feedback meetings and questionnaires, and uses professional design software to generate virtual visual renderings through 3D modeling and rendering, thereby quickly building a design solution to be optimized. This high-precision modeling based on user needs ensures the personalization and high restoration of the design solution. The viewing unit provides users with a powerful interactive experience. After logging in, the user can view the design solution in all directions through perspective rotation, scaling and area switching operations, and record opinions and suggestions in a timely manner through the embedded user evaluation feedback function. The user can not only clearly view the design details, but also directly propose improvement suggestions for unsatisfactory areas in the system, which helps designers quickly understand the user's real needs and expectations. Overall, not only is the efficient connection between the design solution and user needs achieved, but also the deep participation of users is introduced in the early stage of design, making the design process more transparent, interactive and flexible, thereby improving the satisfaction and matching degree of the final design.

[0024] Example 3 Please refer to Figure 1 ,Specifically: the satisfaction survey module includes a satisfaction survey unit and an opinion collection unit; The satisfaction survey unit is used to determine whether to issue a design effect difference evaluation instruction according to the user's evaluation of the satisfaction Dmy after viewing the design scheme to be optimized after the user logs in to the computer decoration effect design software and checks the account. The specific contents are as follows; If the satisfaction level Dmy is "unsatisfactory", it means that the design scheme to be optimized does not meet the relevant design requirements proposed by the user in the early stage, and a design effect difference evaluation instruction is issued at the same time; if the satisfaction level Dmy is "satisfactory", it means that the design scheme to be optimized meets the relevant design requirements proposed by the user in the early stage, and the designer does not need to make unnecessary relevant design changes, and no additional design effect difference evaluation instruction is issued; The opinion collection unit is used to monitor and record user feedback data based on whether the design scheme to be optimized does not meet the relevant design requirements proposed by the user in the early stage, and in combination with the improvement content of the design scheme to be optimized, to construct user feedback data information, wherein the user feedback data information includes the furniture adjustment space position (X i , Y i , Z i ), surface adjustment using material CSS j and light adjustment color value SYS f .

[0025] In this embodiment, the dual setting of the satisfaction survey unit and the opinion collection unit realizes the intelligent management and immediate response of user feedback. The satisfaction survey unit can quickly collect the user's evaluation of satisfaction Dmy after the user logs in to the system to view the design plan, and automatically judge whether further design adjustment is needed. When the satisfaction Dmy is "unsatisfied", the system immediately triggers the design effect difference evaluation instruction to provide a basis for subsequent optimization; if the satisfaction Dmy is "satisfied", no additional instructions are issued, thus avoiding unnecessary design changes and improving operation efficiency. When the user puts forward specific improvement requirements, the opinion collection unit automatically collects and records the detailed data of user feedback, including the adjustment space position of furniture (X i , Y i , Z i ), surface adjustment using material CSS j and light adjustment color value SYS f This kind of data-based feedback collection enables designers to accurately grasp the real needs of users and provide specific guidance for personalized improvements. This module reduces the communication costs between users and designers and converts user feedback into structured data, making the design adjustment process more systematic and efficient, ultimately improving the accuracy of the design and the overall satisfaction of users.

[0026] Example 4 Please refer to Figure 1 ,Specifically: the data acquisition module includes a layout information acquisition unit, a material information acquisition unit and a color information acquisition unit; The layout information acquisition unit collects the furniture space layout of the indoor room corresponding to the design scheme to be optimized based on the received design effect difference evaluation instruction and in combination with the modeling parameter retrieval function of the computer decoration effect design software, and constructs relevant layout information data after feature extraction and classification, wherein the relevant layout information data includes the actual spatial position of the furniture (x i ,y i , z i ); The material information collection unit collects the surface material usage of the interior room of the to-be-optimized design scheme based on the received design effect difference evaluation instruction and in combination with the modeling parameter retrieval function of the computer decoration effect design software, and constructs relevant material information data after feature extraction and classification, and the relevant material information data includes the css of the actual surface material used. j ; The color information acquisition unit collects the lighting color matching of the interior room of the design scheme to be optimized based on the received design effect difference evaluation instruction and the modeling parameter retrieval function of the computer decoration effect design software, and constructs relevant color information data after feature extraction and classification. The relevant color information data includes the actual color value sys of the light. f .

[0027] In this embodiment, the layout information collection unit, the material information collection unit and the color information collection unit are operated in coordination, so as to achieve accurate extraction and efficient management of the design scheme data, and ensure the accurate connection between user feedback and actual design data. The layout information collection unit can automatically extract and record the actual spatial position (x i ,y i , z i ), thereby building an accurate data model of the spatial layout, and the material information collection unit automatically generates the actual material css used on the surface by retrieving the material application in the solution to be optimized. j , effectively helping designers identify and adjust material selections that meet user needs. The color information acquisition unit further converts the actual color value of the light in the room into sys f Incorporating data management makes the color application of the design scheme more in line with user preferences. By extracting and classifying the features of various types of information, the design data is structured and systematized, eliminating the tedious manual data processing and improving the efficiency and accuracy of design improvements. At the same time, through unified data collection standards, scientific data support can be provided for subsequent difference evaluation, ultimately achieving the efficient implementation of user needs in the design scheme, bringing users a design experience that is more in line with personalized requirements.

[0028] Example 5 Please refer to Figure 1 ,Specifically: the effect difference evaluation module includes a layout difference analysis unit, a material difference analysis unit, a color difference analysis unit and a design effect difference evaluation unit; The layout difference analysis unit is used to compare and analyze the user feedback data information with the relevant layout information data, and obtain the layout effect difference coefficient Xbj after feature extraction. The layout effect difference coefficient Xbj is calculated and obtained by the following formula; ; Where, X i It is represented as the X-axis coordinate value of the adjusted spatial position of the i-th furniture, i It is represented as the Y-axis coordinate value of the adjusted spatial position of the i-th furniture, and Z i It is represented as the Z-axis coordinate value of the adjusted spatial position of the i-th furniture, x i It is represented by the X-axis coordinate value of the actual spatial position of the i-th furniture, i It is represented by the Y-axis coordinate value of the actual spatial position of the i-th furniture, z i It is represented as the Z-axis coordinate value of the actual spatial position of the i-th furniture. It is expressed as the maximum deviation distance allowed for the spatial position of the i-th furniture, where i=1, 2, 3, ..., n, and n represents the number of furniture.

[0029] Specifically, the material difference analysis unit is used to compare and analyze the user feedback data information with relevant material information data, and obtain the material effect difference coefficient Xcz after feature extraction. The material effect difference coefficient Xcz is calculated and obtained by the following formula; ; In the formula, CSS j Indicates that the jth surface is adjusted using material, css j It is represented by the actual material used by the j-th surface. Specifically, it is a binary indicator function, which is used for material matching and determines the use of material CSS for surface adjustment. j With the actual use of surface material css j Whether they are the same, if the materials are the same, it is 1, otherwise it is 0, where j=1, 2, 3, ..., m, and m represents the material type.

[0030] Specifically, the color difference analysis unit is used to compare and analyze the user feedback data information with the relevant color information data, and obtain the color effect difference coefficient Xsc after feature extraction. The color effect difference coefficient Xsc is calculated and obtained by the following formula: ; In the formula, SYS f Indicates the color value of the f-th light, sys f It is represented as the actual color value of the f-th light, where f=1, 2, 3, ..., v, and v represents the color value type.

[0031] Specifically, the design effect difference evaluation unit is used to compare the user feedback data information with the relevant layout information data, the relevant material information data and the relevant color information data, respectively, and obtain the design effect difference evaluation index Zcy by fitting. The design effect difference evaluation index Zcy is calculated and obtained by the following formula: ; In the formula, Xbj represents the layout effect difference coefficient, Xcz represents the material effect difference coefficient, and Xsc represents the color effect difference coefficient. , and They are respectively expressed as the weight values ​​of the layout effect difference coefficient Xbj, the material effect difference coefficient Xcz and the color effect difference coefficient Xsc, and A is expressed as a correction constant.

[0032] In this embodiment, the accurate evaluation and intelligent fitting of the differences between user needs and design solutions are achieved through the joint operation of the layout difference analysis unit, the material difference analysis unit, the color difference analysis unit and the design effect difference evaluation unit; the layout difference analysis unit can quantify the layout effect difference coefficient Xbj by comparing the coordinates of the user feedback and the spatial position of the actual layout, thereby accurately revealing the layout adjustment needs; the material difference analysis unit determines whether the material expected by the user is consistent with the material actually used through a binary indicator function, and generates a material effect difference coefficient Xcz to ensure that the material application meets the personalized needs of the user; the color difference analysis unit adjusts the light color value SYS expected by the user by calculating the color difference analysis unit. f The actual color value of the light sys f The difference between user expectations and design solutions is calculated based on the difference between the user expectations and the design solutions. This module not only provides a scientific and systematic basis for design adjustments, but also ensures the directionality and accuracy of design adjustments through intelligent difference analysis, avoiding subjective judgment and repeated operations in the traditional design feedback process, making design optimization more efficient, and improving user satisfaction and design quality.

[0033] Example 6 Please refer to Figure 1Specifically: the optimization design module is used to pre-set a difference evaluation threshold value Y, and compare and analyze the design effect difference evaluation index Zcy with the difference evaluation threshold value Y to comprehensively judge the optimization design level of the current design scheme to be optimized, and notify the designer whether redesign is required according to the corresponding optimization design level. The specific contents are as follows; If the design effect difference evaluation index Zcy ≥ the difference evaluation threshold Y, it means that the improvement content of the current user is significantly different from the design scheme to be optimized, and the first-level optimization design level is obtained, which means that the improvement content of the current user is too much. It is a cumbersome process to make design improvements based on the design scheme to be optimized. It is faster to redesign. It is recommended that the designer redesign according to the user's improvement content; If the design effect difference evaluation index Zcy is less than the difference evaluation threshold Y, it means that the improvement content of the current user is not significantly different from the design scheme to be optimized, and the secondary optimization design level is obtained, indicating that the improvement content of the current user is small. It is recommended that the designer make design improvements based on the design scheme to be optimized according to the user's improvement content.

[0034] In this embodiment, by presetting the difference evaluation threshold Y and intelligently comparing the design effect difference evaluation index Zcy with the preset difference evaluation threshold Y, an accurate judgment of the optimization level of the design scheme is achieved, providing efficient and scientific decision support for the adjustment of designers. Specifically, when the design effect difference evaluation index Zcy is greater than or equal to the difference evaluation threshold Y, it is automatically identified that the improvement content proposed by the current user is significantly different from the original design scheme, and a first-level optimization design level is obtained. At this time, it is recommended that the designer directly redesign to avoid tedious item-by-item adjustments on the basic scheme, thereby effectively reducing the time cost of repeated operations. If the design effect difference evaluation index Zcy is less than the difference evaluation threshold Y, the system determines the fit between the current user's improvement requirements and the design scheme. It is higher, with less changes, and obtains the second-level optimization design level. It is recommended that designers make local adjustments based on the existing solution. Such a hierarchical optimization strategy has significant advantages. It can not only quickly determine the necessity of user changes in the design feedback link, but also intelligently recommend appropriate adjustment methods. The special feature of this intelligent optimization process is that it avoids designers from making unnecessary subjective judgments when facing complex feedback, and effectively improves the accuracy and efficiency of design feedback processing. At the same time, through automated hierarchical judgment and difference evaluation analysis, it ensures that user needs can be responded to quickly, reduces the cost waste caused by cumbersome adjustments, and provides a strong guarantee for the smooth design process and high user satisfaction, so that the overall quality and efficiency of the design project are improved.

[0035] Example 7 Please refer to Figure 1 and Figure 2 ,Specifically: A visual online design method for interior decoration ,project includes the following steps; Step 1: Use the visual display function of the computer decoration effect design software, log in to the user account, and interactively view and improve the content editing of the design scheme to be optimized in combination with the user's design needs; Step 2: after the user logs in to view the design scheme to be optimized, determine whether to issue a design effect difference evaluation instruction based on the user's evaluation satisfaction Dmy after viewing the design scheme to be optimized; and monitor and record user feedback data in combination with the improvement content of the design scheme to be optimized to construct user feedback data information; Step 3: Based on the received design effect difference evaluation instruction, combined with the modeling parameter retrieval function of the computer decoration effect design software, the furniture space layout, surface material usage and lighting color matching of the indoor room corresponding to the design scheme to be optimized are collected, and after feature extraction and classification, relevant layout information data, relevant material information data and relevant color information data are constructed respectively; Step 4: Compare the user feedback data with the relevant layout information data, relevant material information data and relevant color information data, and obtain the design effect difference evaluation index Zcy by fitting; Step 5: pre-set the difference evaluation threshold Y, compare and analyze the design effect difference evaluation index Zcy with the difference evaluation threshold Y to comprehensively judge the optimization level of the current design scheme to be optimized, and notify the designer whether redesign is needed according to the corresponding optimization level.

[0036] In this embodiment, a visual online design method for interior decoration projects achieves efficient design feedback and accurate optimization decisions through gradual user participation, data collection and intelligent difference evaluation. First, users can experience the design effect in real time through the interactive viewing function to ensure that the design plan is close to user needs; then, the system constructs a detailed user demand data set through automated satisfaction judgment and feedback collection to ensure the integrity and pertinence of the feedback information. Then, based on precise data collection and feature extraction, the user feedback is compared in detail with the layout, material and color of the design plan to generate a design effect difference evaluation index Zcy. Finally, it is compared with the preset difference evaluation threshold Y to intelligently judge the design adjustment level and automatically suggest designers to choose redesign or small-scale optimization, effectively avoiding tedious changes and inefficient manual judgment. Overall, this method improves the response speed of the design process and the satisfaction of user needs, ensuring that each iteration is more efficient and accurate, and providing support for high-quality personalized design.

[0037] Although embodiments of the present invention have been shown and described, it will be appreciated by those skilled in the art that various changes, modifications, substitutions and variations may be made to the embodiments without departing from the principles and spirit of the present invention, and that the scope of the present invention is defined by the appended claims and their equivalents.

Claims

1. A visual online design system for interior decoration engineering, characterized by: It includes program display module, satisfaction survey module, data collection module, effect difference evaluation module and optimization design module; The scheme display module is used to utilize the visual display function of the computer decoration effect design software, and after logging in the user to view the account, interactively view and improve the content editing of the design scheme to be optimized in combination with the user's design needs; The satisfaction survey module is used to determine whether to issue a design effect difference evaluation instruction based on the user's evaluation satisfaction Dmy after viewing the design scheme to be optimized after the user logs in to view the design scheme to be optimized; and monitor and record user feedback data in combination with the improvement content of the design scheme to be optimized to construct user feedback data information; The data acquisition module collects the furniture space layout, surface material usage and lighting color matching of the indoor room corresponding to the design scheme to be optimized based on the received design effect difference evaluation instruction and in combination with the modeling parameter retrieval function of the computer decoration effect design software, and constructs relevant layout information data, relevant material information data and relevant color information data respectively after feature extraction and classification; The effect difference evaluation module is used to compare the user feedback data information with the relevant layout information data, relevant material information data and relevant color information data, and obtain the design effect difference evaluation index Zcy by fitting; The optimization design module is used to pre-set the difference evaluation threshold Y, and compare and analyze the design effect difference evaluation index Zcy with the difference evaluation threshold Y to comprehensively judge the optimization design level of the current design scheme to be optimized, and notify the designer whether redesign is needed according to the corresponding optimization design level.

2. The visual online design system for interior decoration engineering according to claim 1 is characterized by: The solution display module includes a design unit and a viewing unit; The design unit is used to obtain relevant design requirements based on face-to-face interviews, feedback meetings and questionnaires with users in the early stage, perform 3D modeling and rendering through computer decoration effect design software, construct virtual visual images to generate a design scheme to be optimized, and use the visualization display function of the computer decoration effect design software to display the three-dimensional effect. The computer decoration effect design software includes AutoCAD, 3ds Max and Roomstyler 3D Home Planner. The relevant design requirements include furniture space layout requirements, surface material texture requirements and lighting color matching requirements in the indoor area; The viewing unit is used for the user to log in to the user viewing account of the computer decoration effect design software, and to view the various indoor areas and related details of the design scheme to be optimized through relevant interactive operations such as rotating the viewing angle, zooming in and out, and switching different indoor areas. According to the user evaluation and feedback function embedded in the computer decoration effect design software, the user edits and improves the content of the design scheme to be optimized and forms a record.

3. The visual online design system for interior decoration engineering according to claim 2 is characterized by: The satisfaction survey module includes a satisfaction survey unit and an opinion collection unit; The satisfaction survey unit is used to determine whether to issue a design effect difference evaluation instruction according to the user's evaluation of the satisfaction Dmy after viewing the design scheme to be optimized after the user logs in to the computer decoration effect design software and checks the account. The specific contents are as follows; If the satisfaction level Dmy is "unsatisfied", it means that the design scheme to be optimized does not meet the relevant design requirements proposed by the user in the early stage, and a design effect difference evaluation instruction is issued; if the satisfaction level Dmy is "satisfied", it means that the design scheme to be optimized meets the relevant design requirements proposed by the user in the early stage, and the designer does not need to make unnecessary relevant design changes, and no additional design effect difference evaluation instruction is issued; The opinion collection unit is used to monitor and record user feedback data based on whether the design scheme to be optimized does not meet the relevant design requirements proposed by the user in the early stage, and in combination with the improvement content of the design scheme to be optimized, to construct user feedback data information, wherein the user feedback data information includes the furniture adjustment space position (X i , Y i , Z i ), surface adjustment using material CSS j and light adjustment color value SYS f .

4. The visual online design system for interior decoration engineering according to claim 3 is characterized by: The data acquisition module includes a layout information acquisition unit, a material information acquisition unit and a color information acquisition unit; The layout information acquisition unit collects the furniture space layout of the indoor room corresponding to the design scheme to be optimized based on the received design effect difference evaluation instruction and in combination with the modeling parameter retrieval function of the computer decoration effect design software, and constructs relevant layout information data after feature extraction and classification, wherein the relevant layout information data includes the actual spatial position of the furniture (x i ,y i , z i ); The material information collection unit collects the surface material usage of the interior room of the to-be-optimized design scheme based on the received design effect difference evaluation instruction and the modeling parameter retrieval function of the computer decoration effect design software, and constructs relevant material information data after feature extraction and classification, and the relevant material information data includes the css of the actual surface material used. j ; The color information acquisition unit collects the lighting color matching of the interior room of the design scheme to be optimized based on the received design effect difference evaluation instruction and the modeling parameter retrieval function of the computer decoration effect design software, and constructs relevant color information data after feature extraction and classification. The relevant color information data includes the actual color value sys of the light. f .

5. The visual online design system for interior decoration engineering according to claim 4 is characterized by: The effect difference evaluation module includes a layout difference analysis unit, a material difference analysis unit, a color difference analysis unit and a design effect difference evaluation unit; The layout difference analysis unit is used to compare and analyze the user feedback data information with the relevant layout information data, and obtain the layout effect difference coefficient Xbj after feature extraction. The layout effect difference coefficient Xbj is calculated and obtained by the following formula; ； Where, X i It is represented as the X-axis coordinate value of the adjusted spatial position of the i-th furniture, i It is represented as the Y-axis coordinate value of the adjusted spatial position of the i-th furniture, and Z i It is represented as the Z-axis coordinate value of the adjusted spatial position of the i-th furniture, x i It is represented by the X-axis coordinate value of the actual spatial position of the i-th furniture, i It is represented by the Y-axis coordinate value of the actual spatial position of the i-th furniture, z i It is represented as the Z-axis coordinate value of the actual spatial position of the i-th furniture. It is expressed as the maximum deviation distance allowed for the spatial position of the i-th furniture, where i=1, 2, 3, ..., n, and n represents the number of furniture.

6. The visual online design system for interior decoration engineering according to claim 5 is characterized by: The material difference analysis unit is used to compare and analyze the user feedback data information with the relevant material information data, and obtain the material effect difference coefficient Xcz after feature extraction. The material effect difference coefficient Xcz is calculated and obtained by the following formula; ； In the formula, CSS j Indicates that the jth surface is adjusted using material, css j It is represented by the actual material used by the j-th surface. Specifically, it is a binary indicator function, which is used for material matching and determines the use of material CSS for surface adjustment. j With the actual use of surface material css j Are they the same? j=1, 2, 3, ..., m, where m represents the material type.

7. The visual online design system for interior decoration engineering according to claim 5 is characterized by: The color difference analysis unit is used to compare and analyze the user feedback data information with the relevant color information data, and obtain the color effect difference coefficient Xsc after feature extraction. The color effect difference coefficient Xsc is calculated and obtained by the following formula; ； Where, SYS f Indicates the color value of the f-th light, sys f It is represented as the actual color value of the f-th light, where f=1, 2, 3, ..., v, and v represents the color value type.

8. The visual online design system for interior decoration engineering according to claim 5 is characterized by: The design effect difference evaluation unit is used to compare the user feedback data information with the relevant layout information data, the relevant material information data and the relevant color information data, respectively, and obtain the design effect difference evaluation index Zcy by fitting. The design effect difference evaluation index Zcy is calculated by the following formula; ； In the formula, Xbj represents the layout effect difference coefficient, Xcz represents the material effect difference coefficient, and Xsc represents the color effect difference coefficient. , and They are respectively expressed as the weight values ​​of the layout effect difference coefficient Xbj, the material effect difference coefficient Xcz and the color effect difference coefficient Xsc, and A is expressed as a correction constant.

9. The visual online interior decoration engineering design system according to claim 8 is characterized by: The optimization design module is used to pre-set the difference evaluation threshold Y, and compare and analyze the design effect difference evaluation index Zcy with the difference evaluation threshold Y to comprehensively judge the optimization design level of the current design scheme to be optimized, and notify the designer whether redesign is required according to the corresponding optimization design level. The specific contents are as follows; If the design effect difference evaluation index Zcy ≥ the difference evaluation threshold Y, it means that the improvement content of the current user is significantly different from the design scheme to be optimized, and the first-level optimization design level is obtained, which means that it is a cumbersome process to make design improvements based on the design scheme to be optimized, and it is faster to redesign. It is recommended that the designer redesign according to the user's improvement content; If the design effect difference evaluation index Zcy is less than the difference evaluation threshold Y, it means that the improvement content of the current user is not significantly different from the design scheme to be optimized, and a secondary optimization design level is obtained. It is recommended that the designer make design improvements based on the design scheme to be optimized according to the user's improvement content.

10. A visual online design method for interior decoration engineering, used to implement a visual online design system for interior decoration engineering as claimed in any one of claims 1 to 9, characterized in that: The steps include: Step 1: Use the visual display function of the computer decoration effect design software, log in to the user account, and interactively view and improve the content editing of the design scheme to be optimized in combination with the user's design needs; Step 2: after the user logs in to view the design scheme to be optimized, determine whether to issue a design effect difference evaluation instruction based on the user's evaluation satisfaction Dmy after viewing the design scheme to be optimized; and monitor and record user feedback data in combination with the improvement content of the design scheme to be optimized to construct user feedback data information; Step 3: Based on the received design effect difference evaluation instruction, combined with the modeling parameter retrieval function of the computer decoration effect design software, the furniture space layout, surface material usage and lighting color matching of the indoor room corresponding to the design scheme to be optimized are collected, and after feature extraction and classification, relevant layout information data, relevant material information data and relevant color information data are constructed respectively; Step 4: Compare the user feedback data with the relevant layout information data, relevant material information data and relevant color information data, and obtain the design effect difference evaluation index Zcy by fitting; Step 5: pre-set the difference evaluation threshold Y, compare and analyze the design effect difference evaluation index Zcy with the difference evaluation threshold Y to comprehensively judge the optimization level of the current design scheme to be optimized, and notify the designer whether redesign is needed according to the corresponding optimization level.

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