Virtual flower arrangement experience system and method

Abstract

The invention relates to the technical field of flower arrangement teaching, and discloses a virtual flower arrangement experience system and method, and the system comprises a user interaction module which is used for receiving a flower arrangement operation instruction inputted by a user, and rendering and displaying a flower arrangement work composed of virtual flower materials in a virtual three-dimensional space; the work data acquisition module is used for acquiring and structurally storing flower arrangement work data of the user in the creation process and after completion; according to the method, the material and time cost of floriculture learning is remarkably reduced, repeated practice and creative attempt are supported, the limitation that evaluation is fuzzy and depends on a tutor in traditional teaching is broken through, a quantifiable, reproducible and highly immersive flower arrangement skill training approach is provided, and the method is suitable for popularization and application. Therefore, professional, large-scale and personalized floriculture teaching and experience requirements are effectively supported.

Description

Technical Field

[0001] This application relates to the field of flower arrangement teaching technology, and in particular to virtual flower arrangement experience systems and methods. Background Technology

[0002] As a refined art form with a long history, flower arrangement not only beautifies the environment and cultivates temperament, but also carries profound cultural connotations and aesthetic value. In recent years, with the improvement of social awareness of aesthetic education and the vigorous development of the flower industry, the demand for professional flower arrangement training and learning from amateur enthusiasts has increased significantly. However, the traditional flower arrangement teaching model has long faced several fundamental bottlenecks: First, the high price and high wastage rate of physical flower materials, coupled with obvious seasonal limitations, keep teaching costs high, making it difficult for students to engage in repeated practice and creative attempts; second, teaching evaluation relies heavily on the instructor's personal experience and subjective judgment, lacking a standardized and quantitative evaluation system, resulting in feedback that is often vague and unclear, making it difficult for students to obtain precise and actionable improvement suggestions; in addition, traditional teaching is limited by specific time and space scenarios, making it difficult to meet the fragmented and flexible learning needs of modern times.

[0003] To overcome these limitations, virtual simulation technology has been gradually introduced into the field of floral art education. However, most existing virtual floral arrangement systems are relatively basic, typically only capable of simple drag-and-drop and combination of floral material models. Essentially, they remain at the level of "electronic arrangement." The core problems are: 1. Lack of intelligent analysis capabilities for aesthetic elements such as color matching, spatial structure, and composition; 2. Failure to establish a scientific evaluation model, unable to provide quantitative scoring and concrete improvement guidance; 3. General neglect of recording and evaluating the creative process, while the level of floral art skills is precisely reflected in the operational process. These systematic functional deficiencies make it difficult for existing technology to support professional and large-scale floral art skills training, and also unable to effectively respond to the urgent needs of high-level learners for refined and intelligent guidance. Summary of the Invention

[0004] To overcome the problem that existing virtual flower arrangement systems cannot support professional and large-scale floral skills training, this application provides a virtual flower arrangement experience system and method.

[0005] Firstly, this application provides a virtual flower arrangement experience system, employing the following technical solution: A virtual flower arrangement experience system, the system comprising: The user interaction module is used to receive flower arrangement operation instructions input by the user and render and display the flower arrangement work composed of virtual flowers in a virtual three-dimensional space. The artwork data acquisition module is used to collect and structure the data of the user's floral arrangement artworks during and after the creation process; The artificial intelligence analysis module is connected to the work data acquisition module to receive structured floral arrangement work data, and calls the built-in aesthetic rule library and pre-trained analysis model to conduct multi-dimensional evaluation of the work, generating an evaluation report containing quantitative scores and qualitative improvement suggestions. The feedback presentation module is communicatively connected to the artificial intelligence analysis module and is used to present the evaluation report to the user in a visual manner in real time.

[0006] By adopting the above technical solutions, a virtual flower arrangement experience system was constructed, which includes a user interaction module, a work data collection module, an artificial intelligence analysis module, and a feedback presentation module. It can receive users' flower arrangement operation instructions and render the works, collect and store flower arrangement data, generate evaluation reports with quantitative scores and qualitative suggestions through artificial intelligence analysis, and provide real-time feedback to users in a visual manner.

[0007] Optionally, the data for the floral arrangement includes: Spatial structure data, including the position coordinates, rotation angle and size information of each virtual flower material in three-dimensional space; Floral attribute data, including the type identifier, color value, texture identifier, and shape identifier of each virtual flower; Time-series operation data includes the time sequence of user operations, operation type, and operation object identifier.

[0008] By adopting the above technical solution, it is clarified that the data of flower arrangement works includes spatial structure data (position of flower materials, rotation angle, size), flower material attribute data (type, color, texture, shape identification) and temporal operation data (operation time sequence, type, object identification), thus realizing the structured storage of user creation process and result data.

[0009] Optionally, the artificial intelligence analysis module includes: The feature extraction unit is used to extract static and dynamic feature sets for evaluation from the floral arrangement data; The multi-dimensional evaluation unit includes a color harmony evaluation sub-unit, a spatial balance evaluation sub-unit, a composition rationality evaluation sub-unit, and a technique application evaluation sub-unit. Each sub-unit performs an independent evaluation based on the static feature set and dynamic feature set, and on the rules in the aesthetic rule base, generating sub-item scores and sub-item suggestions. The report generation unit is used to integrate all the sub-scores and sub-suggestions from the multi-dimensional evaluation unit to generate a final comprehensive evaluation report.

[0010] By adopting the above technical solution, the artificial intelligence analysis module includes a feature extraction unit, a multi-dimensional evaluation unit (including sub-units for color, spatial balance, composition, and skill evaluation), and a report generation unit. It can extract features from the data of flower arrangement works, conduct multi-dimensional independent evaluations, and generate a comprehensive evaluation report.

[0011] Optionally, the evaluation process of the color harmony evaluation subunit includes: Identify the primary, secondary, and accent colors in a floral arrangement, and calculate their respective hue, saturation, and brightness values; The overall color harmony score is calculated based on a color theory model, wherein the color theory model considers at least the relative positional relationships on the color wheel; Based on the harmony score and the predefined color matching templates in the aesthetic rule base, suggestions are generated for adjusting the color or type of specific flowers.

[0012] By adopting the above technical solution, the color harmony evaluation subunit can identify the main, secondary, and accent colors of the artwork and calculate their color values. Based on the color theory model, it calculates the harmony score and generates suggestions for adjusting the color or type of floral materials by combining the aesthetic rule library, thereby realizing the evaluation and optimization guidance of the color harmony of the artwork.

[0013] Optionally, the evaluation process of the spatial balance evaluation subunit includes: Construct a three-dimensional bounding box for the floral arrangement and calculate the projected coordinates of its visual center of gravity in three-dimensional space. Using the projected coordinates as reference points, the distribution density and visual weight of virtual floral materials in each quadrant of three-dimensional space are analyzed. The spatial balance score is calculated based on the symmetry relationship between the distribution density and visual weight. If the balance score is lower than the preset balance threshold, it indicates that there is a significant imbalance in the spatial distribution of the floral arrangement, and suggestions are generated to increase, decrease or adjust the floral materials in a specific spatial quadrant.

[0014] By adopting the above technical solution, the spatial balance assessment subunit establishes a three-dimensional bounding box, analyzes the distribution density and visual weight of floral materials in each quadrant, calculates the balance score, and generates floral material adjustment suggestions for a specific spatial quadrant when the score is lower than the threshold, thereby achieving the assessment and optimization guidance of the spatial balance of the work.

[0015] Optionally, the evaluation process of the composition rationality evaluation sub-unit includes: Identify the composition type of the floral arrangement and perform similarity analysis to match it with the classic composition paradigms pre-stored in the aesthetic rule base; Calculate the overall proportions of the artwork, including but not limited to the ratio of the height of the virtual vase to the total height of the artwork, and the golden ratio of the focal flower position; The composition conformity score is calculated based on the degree of deviation from the matched classic composition paradigm; It also generates suggestions for optimizing proportions or enhancing composition.

[0016] By adopting the above technical solution, the composition rationality assessment subunit identifies the composition type of the work and matches it with classic composition paradigms, calculates the overall proportional relationship, obtains the composition conformity score based on the degree of deviation, and generates suggestions for optimizing proportions or strengthening composition forms, thereby realizing the assessment and optimization guidance of the composition rationality of the work.

[0017] Optionally, the process of evaluating the application of the technique to the evaluation subunit includes: Analyze the timing data of users' flower arranging process to identify the sequence of flower arranging techniques used by users; The identified sequence of flower arranging techniques used by the user is compared with the standard sequence of techniques recommended for the current work type in the aesthetic rule base. The system assesses the fluency, completeness, and accuracy of the user's application of techniques during the flower arranging process and generates a score for the application of techniques. It also generates recommendations that include a sequence of suggested techniques or suggestions that point out shortcomings in the application of current techniques.

[0018] By adopting the above technical solution, the skill application evaluation subunit analyzes the user's time-series operation data to identify the flower arrangement skill sequence, compares it with the standard skill sequence, evaluates the fluency, completeness and accuracy of skill application, and generates scores and suggestions, thereby realizing the evaluation and improvement guidance of the user's flower arrangement skill application.

[0019] Optionally, the process of generating the quantitative score includes: The quantitative score of the user's flower arrangement is obtained through analysis and calculation using the above formula. ; in, Score the harmony of colors. To score the balance, Score the composition accuracy. Scoring is based on skill application. , , , All are weighting coefficients for factors influencing quantitative scoring.

[0020] By adopting the above technical solution, the quantitative score is calculated by combining scores for color harmony, balance, compositional accuracy, and skill application with their respective weighting coefficients, thus achieving a quantitative evaluation of the user's floral arrangement work. Secondly, this application provides a virtual flower arrangement experience method, which adopts the following technical solution: A virtual flower arrangement experience method, wherein the system is applied to any one of the virtual flower arrangement experience systems described above, and the method includes: S1. Receive user operations through the user interaction module, render and display virtual flower arrangement works in virtual three-dimensional space; S2. Collect and structure the data of the user's floral arrangement works during and after the creation process through the work data acquisition module; S3. The AI ​​analysis module extracts and analyzes multi-dimensional features of structured flower arrangement data, calls the built-in aesthetic rule library and pre-trained analysis model to evaluate the works, and generates an evaluation report containing quantitative scores and qualitative improvement suggestions. S4. The evaluation report is presented to the user in real time and visually through the feedback presentation module.

[0021] By adopting the above technical solution, the virtual flower arrangement experience method sequentially renders the work through the user interaction module, stores the data through the work data collection module, generates an evaluation report through the artificial intelligence analysis module, and provides feedback reports through the feedback presentation module, thus realizing the complete process of virtual flower arrangement from creation to evaluation and feedback.

[0022] Optionally, the method further includes: S5. Based on the finalized virtual flower arrangement, generate the corresponding bill of materials and placement order guide; The bill of materials includes information on the types and quantities of the actual flowers required, and the placement order guidance scheme is generated based on the timing operation data.

[0023] By adopting the above technical solutions, the virtual flower arrangement experience method can generate a material list of real flowers and an arrangement order guidance scheme based on time-series operation data after generating an evaluation report, providing operational guidance for users to transform virtual works into actual flower arrangements.

[0024] In summary, this application includes at least one of the following beneficial technical effects: (1) This invention systematically solves the problems of high cost, reliance on subjective experience, lack of quantitative feedback and time and space limitations in traditional flower arrangement teaching by integrating virtual interaction, multi-dimensional data collection and artificial intelligence analysis. The system can collect and record the user's flower arrangement operation process and finished product data in three-dimensional space in real time, and intelligently evaluate the work's spatial structure, color matching, shape composition and other dimensions based on pre-trained models and aesthetic rule bases. It generates an evaluation report that includes both quantitative scores and qualitative improvement suggestions, and finally provides real-time feedback to the user in a visual way. This not only significantly reduces the material and time costs of flower arrangement learning and supports repeated practice and creative attempts, but also breaks through the limitations of vague evaluation and reliance on tutors in traditional teaching. It provides a quantifiable, reproducible and highly immersive flower arrangement skills training approach, thereby effectively supporting the needs of professional, large-scale and personalized flower arrangement teaching and experience. Attached Figure Description

[0025] Figure 1 This is a schematic diagram of the virtual flower arrangement experience system disclosed in this invention.

[0026] Figure 2 This is a flowchart of the steps of the virtual flower arrangement experience method disclosed in this invention. Detailed Implementation

[0027] The embodiments of this application are described in detail below, and examples of the embodiments are shown in the accompanying drawings.

[0028] In the description of this specification, the references to "certain embodiments," "one embodiment," "some embodiments," "illustrative embodiment," "example," "specific example," or "some examples" refer to specific features, structures, materials, or characteristics described in connection with the described embodiment or example, which are included in at least one embodiment or example of this application. In this specification, the illustrative expressions of the above terms do not necessarily refer to the same embodiment or example. Furthermore, the specific features, structures, materials, or characteristics described may be combined in any suitable manner in one or more embodiments or examples.

[0029] This application discloses a virtual flower arrangement experience system, referring to... Figure 1 The system includes: The user interaction module is used to receive flower arrangement operation instructions issued by users through input devices (such as mice, touch screens or VR controllers), and to render and display flower arrangement works formed by different combinations of virtual floral materials in real time in virtual three-dimensional space. The artwork data acquisition module is used to collect data on the user's floral arrangement artworks during and after the creation process, and store them in a structured format; The artificial intelligence analysis module is connected to the work data acquisition module. It is used to receive the aforementioned structured flower arrangement work data, and call the built-in aesthetic rule library and pre-trained analysis model to conduct multi-dimensional evaluation of the work, and generate an evaluation report containing quantitative scores and qualitative improvement suggestions. The feedback presentation module is connected in communication with the artificial intelligence analysis module and is used to present the evaluation report to the user in real time in the form of graphics, text or augmented reality.

[0030] The data for the floral arrangement works includes: Spatial structure data includes the position coordinates (XYZ coordinates), rotation angle (Euler angles or quaternion representation) and size information (length, width and height ratio) of each virtual flower material in three-dimensional space. The spatial structure data is obtained by capturing the displacement and transformation of the flower materials in real time during the user's operation. It is used to accurately describe the relative position and overall shape of the flower materials and is the basis for realizing aesthetic analysis and virtual reproduction. Floral attribute data includes the type identifier (such as rose, lily, etc.), color value (such as RGB or HSV value), texture identifier, and shape identifier (such as open, bud, etc.) of each virtual flower. The floral attribute data usually comes from the system's preset floral database and is used to distinguish the visual and semantic features of flowers to support the analysis and suggestions of diverse styles. Time-series operation data includes the time sequence (time stamp) of user operations, operation type (such as add, delete, move, rotate) and operation object identifier (unique ID of flower material). Time-series operation data is obtained by recording the complete operation process of the user and can be used to trace the creation process, analyze operation habits, and even for personalized model training and experience optimization.

[0031] Through the above technical solution, this embodiment provides a virtual flower arrangement experience system. By integrating virtual interaction, multi-dimensional data acquisition, and artificial intelligence analysis, the system systematically solves the problems of high cost, reliance on subjective experience, lack of quantitative feedback, and time and space limitations in traditional flower arrangement teaching. The system can collect and structurally record the user's flower arrangement operation process and finished product data in three-dimensional space in real time. Based on a pre-trained model and aesthetic rule base, it intelligently evaluates the work's spatial structure, color matching, and composition in multiple dimensions, generating an evaluation report that includes both quantitative scores and qualitative improvement suggestions. Finally, it provides real-time feedback to the user in a visual manner. This not only significantly reduces the material and time costs of flower arrangement learning and supports repeated practice and creative attempts, but also breaks through the limitations of vague evaluation and reliance on instructors in traditional teaching. It provides a quantifiable, reproducible, and highly immersive flower arrangement skills training approach, thereby effectively supporting the needs of professional, large-scale, and personalized flower arrangement teaching and experience.

[0032] In one embodiment, the artificial intelligence analysis module includes: The feature extraction unit is used to extract static and dynamic feature sets for evaluation from the floral arrangement data. The static feature set is mainly extracted from the final completed work, such as overall and local color statistics (e.g., hue distribution in HSV space), spatial distribution density of floral materials, overall outline shape parameters (e.g., symmetry, height ratio), and focal area location. The dynamic feature set is extracted from time-series operation data, characterizing the user's creative process, such as operation fluency (number of effective operations per unit time), modification frequency, and commonly used floral material combination sequences. These features are calculated from the raw data using predefined algorithms and models, serving as the basic input for quantitative evaluation. The multi-dimensional evaluation unit includes a color harmony evaluation sub-unit, a spatial balance evaluation sub-unit, a composition rationality evaluation sub-unit, and a technique application evaluation sub-unit. Each sub-unit performs an independent evaluation based on the static feature set and dynamic feature set, and on the rules in the aesthetic rule base, generating sub-item scores and sub-item suggestions. The report generation unit is used to integrate the sub-item scores and sub-item text suggestions of each sub-unit, and generate a comprehensive evaluation report with a clear structure, including the total score, sub-item scores and specific improvement measures, according to a predetermined report template.

[0033] Through the above technical solution, this embodiment provides a method for analyzing flower arrangement works based on multi-dimensional feature extraction and intelligent evaluation. The method extracts static and dynamic feature sets from user operations and work results, and conducts independent and comprehensive evaluations of multiple dimensions such as color, space, composition, and techniques according to professional aesthetic rules and models. Finally, it generates quantitative scores and qualitative suggestions. This method realizes refined and intelligent analysis of flower arrangement works and creative processes, significantly improves the objectivity of evaluation and the accuracy of guidance, and effectively supports users' self-learning and skill improvement.

[0034] In one embodiment, the evaluation process of the color harmony evaluation subunit includes: The system identifies the primary, secondary, and accent colors in a floral arrangement. The primary color is usually the dominant color in the arrangement (often obtained by calculating the weighted average of the area of ​​the flower material's color, usually accounting for more than 60%). Secondary colors are used to support and complement the primary color (accounting for about 20% to 30%), while accent colors are colors used in small areas to emphasize the arrangement (accounting for less than 10%). Based on the color value of each virtual flower material, the system automatically extracts these color components through clustering algorithms or saliency detection models, and further analyzes their hue, saturation, and brightness values, transforming the visual impression into calculable color features. The overall color harmony score is calculated based on a color theory model, which considers at least the relative positions on the color wheel. For example, the angle between the primary and secondary colors on the color wheel is calculated. If the colors are complementary (approximately 180°), triadic (approximately 120°), or analogous (within approximately 30°), which conform to aesthetic principles, a higher score is assigned. The contrast between saturation and brightness is also considered to avoid glaring or muddy color schemes. The harmony score is usually calculated using a range of 0-100, with higher scores indicating more harmonious color combinations. The score is calculated using a predefined weighted formula, where hue harmony often has the highest weight. Based on the obtained harmony score, and compared with the predefined color matching templates in the aesthetic rule base, such as classic schemes like "monochrome harmony", "complementary color emphasis", and "analogous color softness", specific and actionable suggestions are generated. For example, if the primary color and secondary color are identified as conflicting hues and both are too saturated, it may be suggested to "reduce the saturation of the secondary color" or "change a certain hue to a similar color area".

[0035] Through the above technical solution, this embodiment provides a method for intelligent color evaluation of floral arrangements. The method automatically extracts the color features of the arrangement, quantitatively analyzes the relationship between hue, saturation, and brightness, and calculates a harmony score and generates improvement suggestions based on aesthetic rules. This method achieves objective, accurate, and efficient evaluation of floral color schemes, effectively assisting users in understanding color matching principles and enhancing visual expressiveness.

[0036] In one embodiment, the evaluation process of the spatial balance evaluation subunit includes: A three-dimensional bounding box is established for the floral arrangement. This bounding box is a minimal cuboid space that can completely enclose all virtual floral materials. Its boundaries are automatically calculated and determined by the maximum and minimum coordinate values ​​of all floral materials in the X, Y, and Z axes. This establishes a spatial reference coordinate system for evaluation, and calculates the projected coordinates of its visual center of gravity in three-dimensional space. The visual center of gravity is a weighted center point that comprehensively considers the spatial position and visual weight of each floral material. The visual weight is a dimensionless composite parameter determined by the size of the floral material, color saturation (high saturation is heavier), brightness (low brightness is heavier), and type of floral material (e.g., large flowers have higher weight than small flowers). The three-dimensional coordinates of the visual center of gravity are calculated using a weighted average formula, and its projected coordinates are the coordinates (X, Z) of the center of gravity point on the horizontal plane (XZ plane). These coordinates reflect the concentration point of the visual weight of the arrangement on the horizontal plane and are a key reference for judging the balance. Centered on the projected coordinates, the horizontal plane is divided into four quadrants, and the distribution density and visual weight of virtual floral materials in each quadrant are analyzed. Distribution density refers to the number of floral materials per unit area, and visual weight is the sum of the weights of all floral materials in that quadrant. By comparing these values ​​between diagonal quadrants (such as the first quadrant and the third quadrant) or adjacent quadrants, their symmetry relationship (such as difference or ratio) is calculated. The spatial balance score (usually 0-100 points) is calculated based on these symmetry relationships. The higher the score, the more visually stable and balanced the work is. If the balance score is lower than the preset balance threshold (usually defined by the aesthetic rule base, with a common empirical value of 60-70 points), it indicates that the floral arrangement has a significant imbalance in spatial distribution. Based on the analysis results of each quadrant, specific suggestions are generated. For example, if the analysis finds that the visual weight of the third quadrant is significantly lower than that of the first quadrant, a concrete adjustment suggestion will be generated: "Add large or dark-colored floral materials to the left rear area (third quadrant) of the arrangement to balance the visual weight."

[0037] Through the above technical solution, this embodiment provides an intelligent evaluation method for the spatial balance of floral arrangement works. The method establishes a spatial bounding box, calculates the weighted visual center of gravity, analyzes the distribution density and weight of each quadrant, and finally quantifies and generates a balance score and adjustment suggestions. It transforms the traditional balance judgment that relies on subjective experience into objective and quantifiable spatial data analysis, which can accurately identify the spatial structural defects of the work and provide clear operational guidance. This effectively helps users understand and master the spatial composition principles of floral arrangement, and improves the overall stability and artistic expression of the work.

[0038] In one embodiment, the evaluation process of the composition rationality evaluation subunit includes: The process of identifying the composition type of a floral arrangement involves analyzing the overall outline features of all virtual floral materials in three-dimensional space and the directional relationships of the main floral materials. Common composition types include, but are not limited to, triangular composition, elliptical composition, vertical composition, horizontal composition, L-shaped composition, and free-form composition. Then, computer vision algorithms are used to perform similarity analysis and matching between the composition of the current work and the classic composition paradigms pre-stored in the aesthetic rule base. The similarity is usually represented by a value between 0 and 1, which is obtained by calculating the overlap between the current outline and the paradigm outline, the distance between key points, and other features. The overall proportions of the artwork are calculated in detail, including but not limited to the ratio of the height of the virtual vase to the total height of the artwork and the golden ratio of the focal flower position. The ratio of the height of the virtual vase to the total height of the artwork is an important indicator for judging the overall stability of the artwork. Its ideal value usually follows classical aesthetic principles. For example, traditional Eastern flower arrangement often pursues a 1:1 or 1:5:3 ratio, while Western flower arrangement may be closer to the golden ratio (approximately 1:1.618). Specific data can be obtained directly by the system automatically measuring the height of the vase model and the overall height of the artwork. The process of obtaining the golden ratio of the focal flower position is that the artificial intelligence analysis module locates the visual focus of the artwork (usually the most eye-catching or largest flower) and calculates whether the position of its center point coordinates relative to the entire artwork space (projection on the XZ plane) is close to the golden ratio point. The closer the coordinate ratio is to 0.618, the more reasonable the layout is considered. Based on the overall deviation from the matched classic composition paradigm, as well as the difference between the above key proportional relationships and the ideal value, a composition conformity score is calculated. This score is usually expressed on a 100-point scale (0-100 points). The higher the score, the higher the conformity of the composition and aesthetic principles of the work. The degree of deviation is quantified through a series of difference measurement algorithms (such as Euclidean distance). Based on the scores and specific deviations found during the analysis process, concrete improvement suggestions are generated. For example, if a triangular composition is identified but the center of gravity is off-center, it is suggested to "adjust the position of the main floral material to strengthen the center line of the triangle"; if the height ratio of the vase to the artwork is unbalanced, it is suggested to "reduce the height of the top floral material to follow the classic ratio of 1:1.618" or "add floral material on the left side to balance the visual weight and solidify the L-shaped composition".

[0039] Through the above technical solution, this embodiment provides an intelligent evaluation method for the composition of flower arrangement works. The method automatically identifies the composition type of the work, calculates key proportional parameters, and quantitatively compares them with ideal paradigms in the aesthetic rule library. Finally, it generates a composition conformity score and specific optimization suggestions, transforming abstract compositional aesthetics into objective and calculable spatial and proportional data. This can effectively guide users to understand and master the core compositional rules of flower arrangement art, and significantly improve the structural rationality and artistry of the work.

[0040] In one embodiment, the evaluation process of the skill application evaluation subunit includes: By analyzing the temporal operation data during the user's flower arrangement process, the system can identify the sequence of flower arrangement techniques used by the user. The temporal operation data records the timestamps, types (such as selection, cutting, insertion, rotation, and deletion) and specific identifiers of the operation objects for all user actions. By performing pattern recognition and semantic analysis on this series of actions, the system can identify the sequence of techniques actually applied by the user. Each technique is composed of one or more specific operations (such as the "cutting" operation followed by the "insertion" operation, which may correspond to the technique of "positioning the flower material after trimming"). This sequence reflects the logic and skill of the user's creation and is the core basis for evaluating their operational proficiency and professionalism. The identified flower arrangement technique sequence used by the user is compared with the standard technique sequence recommended for the current work type in the aesthetic rule base. The standard technique sequence is the best practice process solidified from expert experience, representing an efficient, reasonable and aesthetically pleasing creative path. The comparison process includes calculating the similarity between the two sequences and checking step by step whether the user has missed key techniques, whether the order of steps is disordered, or whether there are redundant operations. The system assesses the fluency, completeness, and accuracy of the user's application of skills during the flower arrangement process, and generates a skill application score out of 100 based on the performance in the above three dimensions. The fluency is mainly evaluated by calculating the number of effective operations per unit time, the average interval between operations, and whether there are a large number of repetitive correction operations. A high fluency score is characterized by smooth, decisive, and minimal repetitive operations. The completeness is evaluated by assessing whether the user has fully applied all recommended core skill steps and whether any key steps have been omitted. The accuracy is evaluated by assessing the quality of each skill operation, such as whether the position of the "insert" operation is accurate and whether the angle of the "rotate" operation is just right. Based on the details of the scores and comparative analysis, highly actionable improvement suggestions are generated. For example, if it is found that the user has missed the standard step of "covering the floral foam", it will suggest "adding foliage to cover the floral foam in the final stage to improve the completion of the work". If it is detected that the operation sequence is disordered and inefficient, it will generate suggestions such as "recommending to follow the technique sequence of establishing the main framework first and then adding embellishing flowers". It can even provide charts or lists of standard technique sequences as a learning reference.

[0041] Through the above technical solution, this embodiment provides an intelligent evaluation method for flower arrangement skills. The method identifies the user's skill application sequence by analyzing the user's time-series operation data and compares it with the expert standard sequence in multiple dimensions, thereby quantifying the smoothness, completeness and accuracy of the operation and generating concrete improvement suggestions. This method extends the evaluation focus from the static result of the work to the dynamic creative process for the first time. It can accurately evaluate and guide the user's operation skills themselves, effectively helping users optimize their creative habits, improve their operational proficiency and professionalism, and make up for the important defect of the traditional evaluation system that only focuses on the finished product and ignores the process.

[0042] In one embodiment, the process of generating the quantitative score includes: The quantitative score of the user's flower arrangement is obtained through analysis and calculation using the above formula. ; in, Score the harmony of colors. To score the balance, Score the composition accuracy. Scoring is based on skill application. , , , All of these are weighting coefficients for quantitative scoring factors, which are dynamically retrieved from the aesthetic rule base by the system based on the evaluation scenario and the type of work. For example, in the teaching evaluation mode, more emphasis may be placed on skill learning to encourage users to master the correct process, while in the work competition mode, more emphasis may be placed on the final visual effect. The specific values ​​of the weighting coefficients are usually set in advance by the floral art expert team based on a large amount of experience and stored in the rule base, ensuring the authority and flexibility of the scoring criteria.

[0043] Through the above technical solution, this embodiment provides a method for generating quantitative scores for flower arrangement works. The method integrates the independent evaluation results of four dimensions: color, space, composition, and technique, and introduces dynamically configurable weight coefficients to finally calculate a comprehensive, objective, and flexible integrated score that can adapt to different evaluation objectives. This overcomes the limitations of the single and subjective nature of traditional evaluations and provides a standardized and quantifiable quality measurement system. It not only makes the scoring results more convincing and instructive, but also meets the precise evaluation needs of different scenarios, from beginner teaching to professional competitions.

[0044] This application also discloses a method for experiencing virtual flower arrangement, as described in the embodiments below. Figure 2 The method is applied to any one of the virtual flower arrangement experience systems described above, and the method includes: S1. Receive user operations through the user interaction module, render and display virtual flower arrangement works in virtual three-dimensional space; S2. Collect and structure the data of the user's floral arrangement works during and after the creation process through the work data acquisition module; S3. The AI ​​analysis module extracts and analyzes multi-dimensional features of structured flower arrangement data, calls the built-in aesthetic rule library and pre-trained analysis model to evaluate the works, and generates an evaluation report containing quantitative scores and qualitative improvement suggestions. S4. The evaluation report is presented to the user in real time and visually through the feedback presentation module.

[0045] The method further includes: S5. Based on the finalized virtual flower arrangement, generate the corresponding bill of materials and placement order guide; The bill of materials includes information on the types and quantities of the actual flowers required, and the placement order guidance scheme is generated based on the timing operation data.

[0046] Through the above technical solution, this embodiment provides a virtual flower arrangement experience method. The method receives user operations and renders the work in real time, synchronously collects structured creative process and result data, uses an artificial intelligence module to perform multi-dimensional aesthetic and skill analysis and generate an evaluation report. Ultimately, it can not only provide real-time feedback including quantitative scores and qualitative suggestions, but also reverse-engineer the corresponding real flower material list and scientific arrangement order guidance based on the final work. This not only greatly reduces the learning threshold and material waste, but also provides users with seamless professional guidance for transitioning from the digital world to real-world creation, effectively improving the immersion, effectiveness and conversion rate of flower arrangement learning.

[0047] This application also discloses a storage medium storing a program for the virtual flower arrangement experience system described in any one of the above embodiments.

[0048] Although embodiments of this application have been shown and described above, it is understood that the above embodiments are exemplary and should not be construed as limiting this application. Those skilled in the art can make changes, modifications, substitutions and variations to the above embodiments within the scope of this application.

Claims

1. A virtual flower arrangement experience system, characterized in that, The system includes: The user interaction module is used to receive flower arrangement operation instructions input by the user and render and display the flower arrangement work composed of virtual flowers in a virtual three-dimensional space. The artwork data acquisition module is used to collect and structure the data of the user's floral arrangement artworks during and after the creation process; The artificial intelligence analysis module is connected to the work data acquisition module to receive structured floral arrangement work data, and calls the built-in aesthetic rule library and pre-trained analysis model to conduct multi-dimensional evaluation of the work, generating an evaluation report containing quantitative scores and qualitative improvement suggestions. The feedback presentation module is communicatively connected to the artificial intelligence analysis module and is used to present the evaluation report to the user in a visual manner in real time. The data for the flower arrangement works includes: Spatial structure data, including the position coordinates, rotation angle and size information of each virtual flower material in three-dimensional space; Floral attribute data, including the type identifier, color value, texture identifier, and shape identifier of each virtual flower; Time-series operation data, including the time sequence of user operations, operation type, and operation object identifier; The artificial intelligence analysis module includes: The feature extraction unit is used to extract static and dynamic feature sets for evaluation from the floral arrangement data; The multi-dimensional evaluation unit includes a color harmony evaluation sub-unit, a spatial balance evaluation sub-unit, a composition rationality evaluation sub-unit, and a technique application evaluation sub-unit. Each sub-unit performs an independent evaluation based on the static feature set and dynamic feature set, and on the rules in the aesthetic rule base, generating sub-item scores and sub-item suggestions. The report generation unit is used to integrate all the sub-scores and sub-suggestions from the multi-dimensional evaluation unit to generate a final comprehensive evaluation report.

2. The virtual flower arrangement experience system according to claim 1, characterized in that, The evaluation process of the color harmony evaluation subunit includes: Identify the primary, secondary, and accent colors in a floral arrangement, and calculate their respective hue, saturation, and brightness values; The overall color harmony score is calculated based on a color theory model, wherein the color theory model considers at least the relative positional relationships on the color wheel; Based on the harmony score and the predefined color matching templates in the aesthetic rule base, suggestions are generated for adjusting the color or type of specific flowers.

3. The virtual flower arrangement experience system according to claim 2, characterized in that, The evaluation process of the spatial balance evaluation sub-unit includes: Construct a three-dimensional bounding box for the floral arrangement and calculate the projected coordinates of its visual center of gravity in three-dimensional space. Using the projected coordinates as reference points, the distribution density and visual weight of virtual floral materials in each quadrant of three-dimensional space are analyzed. The spatial balance score is calculated based on the symmetry relationship between the distribution density and visual weight. If the balance score is lower than the preset balance threshold, it indicates that there is a significant imbalance in the spatial distribution of the floral arrangement, and suggestions are generated to increase, decrease or adjust the floral materials in a specific spatial quadrant.

4. The virtual flower arrangement experience system according to claim 3, characterized in that, The evaluation process for the composition rationality assessment sub-unit includes: Identify the composition type of the floral arrangement and perform similarity analysis to match it with the classic composition paradigms pre-stored in the aesthetic rule base; Calculate the overall proportions of the artwork, including but not limited to the ratio of the height of the virtual vase to the total height of the artwork, and the golden ratio of the focal flower position; The composition conformity score is calculated based on the degree of deviation from the matched classic composition paradigm; It also generates suggestions for optimizing proportions or enhancing composition.

5. The virtual flower arrangement experience system according to claim 4, characterized in that, The evaluation process for the application of the aforementioned techniques in the evaluation sub-unit includes: Analyze the timing data of users' flower arranging process to identify the sequence of flower arranging techniques used by users; The identified sequence of flower arranging techniques used by the user is compared with the standard sequence of techniques recommended for the current work type in the aesthetic rule base. The system assesses the fluency, completeness, and accuracy of the user's application of techniques during the flower arranging process and generates a score for the application of techniques. It also generates recommendations that include a sequence of suggested techniques or suggestions that point out shortcomings in the application of current techniques.

6. The virtual flower arrangement experience system according to claim 5, characterized in that, The process of generating the quantitative score includes: The quantitative score of the user's flower arrangement is obtained through analysis and calculation using the above formula. ; in, Score the harmony of colors. To score the balance, Score the composition accuracy. Scoring is based on skill application. , , , All are weighting coefficients for factors influencing quantitative scoring.

7. A virtual flower arrangement experience method, characterized in that, The method is applied to the virtual flower arrangement experience system as described in any one of claims 1-6, and the method includes: S1. Receive user operations through the user interaction module, render and display virtual flower arrangement works in virtual three-dimensional space; S2. Collect and structure the data of the user's floral arrangement works during and after the creation process through the work data acquisition module; S3. The AI ​​analysis module extracts and analyzes multi-dimensional features of structured flower arrangement data, calls the built-in aesthetic rule library and pre-trained analysis model to evaluate the works, and generates an evaluation report containing quantitative scores and qualitative improvement suggestions. S4. The evaluation report is presented to the user in real time and visually through the feedback presentation module.

8. The virtual flower arrangement experience method according to claim 7, characterized in that, The method further includes: S5. Based on the finalized virtual flower arrangement, generate the corresponding bill of materials and placement order guide; The bill of materials includes information on the types and quantities of the actual flowers required, and the placement order guidance scheme is generated based on the timing operation data.

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