Exhibition design method and system

Abstract

The present invention discloses an exhibition design method and system, which belongs to the field of interior decoration design, including constructing a metaverse exhibition hall design; receiving and parsing exhibition content input by a user to generate an exhibition task vector; using an intelligent algorithm to automatically generate an exhibition layout plan according to the exhibition task vector and user needs; submitting the exhibition hall layout design to the user, collecting feedback information and updating it; by applying an intelligent algorithm, automatically generating an exhibition layout plan according to the exhibition task vector and user needs, thereby achieving optimal utilization of the exhibition space, being able to quickly respond to changing needs, improving the flexibility and adaptability of the exhibition, and significantly improving the professionalism of the exhibition and the audience's visiting experience.

Description

Technical Field

[0001] The invention belongs to the field of interior decoration design, in particular to a method and system for exhibition design. Background Art

[0002] With the rapid development of information technology, the field of conference exhibitions has undergone significant changes, especially in interior decoration and decoration design. From the initial manual drawing and on-site layout to the current use of computer-aided design (CAD) and three-dimensional modeling technology, the efficiency and accuracy of exhibition design have been greatly improved. At present, many companies and organizations have begun to apply virtual reality (VR) and augmented reality (AR) technologies to exhibition design, trying to improve user experience through the construction of virtual exhibition halls. These technologies can not only provide users with an immersive visiting experience, but also simulate and evaluate a variety of design schemes in the early stage of the exhibition. However, although these new technologies have brought many conveniences to exhibition design, the existing systems still have obvious deficiencies in personalized customization, user demand analysis and feedback processing, which limits their widespread promotion in practical applications.

[0003] Existing exhibition design systems usually use static templates and fixed rules for layout, lacking the ability to deeply analyze and dynamically respond to user input. For example, when users input exhibition themes and related information, the system is often limited to converting them into preset layout plans, and cannot be personalized according to the user's specific needs. In addition, the existing technology fails to effectively integrate user feedback information during the exhibition layout generation process, resulting in insufficient adjustment and optimization capabilities of the design plan after implementation. The user's actual experience of the exhibition layout cannot be fed back to the design system in a timely manner, thus affecting the quality of subsequent exhibitions and the satisfaction of the audience. Summary of the invention

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

[0005] Therefore, the present invention provides an exhibition design method and system to solve the problems of untimely information response, lack of personalization in layout generation and imperfect user feedback mechanism in the traditional exhibition mode.

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

[0007] In a first aspect, an embodiment of the present invention provides an exhibition design method, which includes:

[0008] Constructing the Metaverse Exhibition Hall Design;

[0009] Receive and analyze the exhibition content input by the user and generate an exhibition task vector;

[0010] Using intelligent algorithms, automatically generate exhibition layout plans based on exhibition task vectors and user needs;

[0011] Submit the exhibition hall layout design to users, collect feedback and update it.

[0012] As a preferred solution of the exhibition design method of the present invention, the construction of the metaverse exhibition hall design includes the following steps:

[0013] Select a 3D exhibition hall template library containing multiple styles and themes; the exhibition hall template library contains multiple types of exhibition hall templates, and each type of exhibition hall template corresponds to different exhibition hall data;

[0014] Collect and analyze historical exhibition data, and extract target audiences and exhibition themes from historical exhibition data;

[0015] According to the target audience and the exhibition theme, the exhibition hall templates in the exhibition hall template library are matched in multiple dimensions to screen out candidate exhibition hall templates;

[0016] Through dynamic selection, the screened candidate exhibition hall templates are adapted, and the one with the highest adaptability is selected as the best exhibition hall template to form the metaverse exhibition hall environment.

[0017] As a preferred solution of the exhibition design method of the present invention, the multi-dimensional matching and screening of candidate exhibition hall templates include the following steps:

[0018] Clean the audience data in historical exhibition data;

[0019] Extract key features that affect audience preferences from the cleaned data; the key features include audience age, occupational distribution, and preferred exhibition types;

[0020] Use cluster analysis to group audiences into groups with similar characteristics and preferences;

[0021] Select multiple variables related to audience behavior, apply factor analysis methods, calculate the correlation between variables, and extract the main factors;

[0022] Explain the extracted factors and understand the meaning of each factor;

[0023] Combine the results of factor analysis with cluster analysis to generate detailed audience portraits;

[0024] According to the target audience portrait, match and analyze the exhibition themes, screen out the exhibition themes that match the target audience's interests, and form candidate themes;

[0025] Prioritize the selected candidate themes to form a candidate exhibition hall template.

[0026] As a preferred solution of the exhibition design method of the present invention, wherein: the adapting of the screened candidate exhibition hall templates and selecting the one with the highest degree of adaptation as the best exhibition hall template comprises the following steps:

[0027] Build a library of candidate exhibition hall templates and define the attribute vectors of the target audience;

[0028] Calculate the audience attribute compatibility with each template based on the audience attribute vector;

[0029] Calculate the theme's suitability based on the correlation between the exhibition theme and the template design style;

[0030] Combine audience attribute suitability and theme suitability to obtain the comprehensive suitability of each template;

[0031] By summarizing the fitness of all templates, the template with the highest fitness is identified as the best template for the final exhibition.

[0032] As a preferred solution of the exhibition design method of the present invention, the receiving and parsing of the exhibition content input by the user and generating the exhibition task vector comprises the following steps:

[0033] Design a user-friendly input interface to allow users to enter basic information about the exhibition;

[0034] Use JSON format to structure the basic information of the exhibition entered by the user and perform data verification;

[0035] Use the parsing library to convert the input JSON data into actionable objects, extract the number of exhibits, display methods, and interactive modules;

[0036] Define the structure of the exhibition task vector, calculate the value of the exhibition task vector according to the number of exhibits, the complexity of the display method and the number of interactive modules in the parsed exhibition content, and form the final exhibition task vector.

[0037] As a preferred solution of the exhibition design method of the present invention, wherein: the automatic generation of the exhibition layout plan by using an intelligent algorithm according to the exhibition task vector and user needs includes the following steps:

[0038] Determine the number of exhibits to be displayed based on the exhibition theme and the interests of the target audience;

[0039] Determine the display method of the exhibits based on the number of exhibits; the display method includes static display, dynamic display and interactive display;

[0040] Design the spatial layout of the exhibition hall according to the number of exhibits and the display method; the spatial layout includes the placement of exhibits, audience flow, rest area, overall atmosphere and theme style;

[0041] Score the display effect of each exhibit;

[0042] Calculate the space required for each exhibit based on its actual size and display format;

[0043] Define the attribute vector for each exhibit;

[0044] Based on the display effect, occupied space and attribute vector, a dynamic configuration algorithm is set to calculate the comprehensive score of the exhibition hall layout after dynamic configuration;

[0045] Create an initial layout matrix representing the allocation of exhibition hall space;

[0046] According to the exhibition task vector and user needs, a genetic algorithm is selected to evaluate the current layout matrix, and the layout comprehensive scoring formula is used to calculate the score of each layout and sort them in descending order;

[0047] Select a layout with a higher score from the layout scoring results as the parent;

[0048] Randomly select two layouts from the selected parent generation and cross them to generate a new layout solution;

[0049] In the newly generated layout, a certain proportion of cells are randomly selected for mutation, and the positions of the exhibits in them are swapped;

[0050] In each iteration, the score of the new layout is recalculated using the layout scoring formula;

[0051] Compare the current layout score with the previous score, and if the current score is higher, update the best layout;

[0052] Set the maximum number of iterations. When the number of iterations is reached, stop the optimization and form the final layout plan.

[0053] As a preferred solution of the exhibition design method of the present invention, the exhibition hall layout design is submitted to the user, and feedback information is collected and updated, including the following steps:

[0054] Use online questionnaire tools to create questionnaires and collect feedback data from all users;

[0055] Conduct quantitative analysis of satisfaction in user feedback data;

[0056] Analyze user feedback on interactive modules to identify the most and least popular modules;

[0057] Categorize users’ improvement suggestions and identify the most common types of suggestions;

[0058] Generate user portraits based on the collected feedback data;

[0059] Combined with user portraits, analyze users' needs for exhibition content and form, and identify potential improvement directions;

[0060] Based on user feedback and data analysis results, formulate specific optimization plans and update the exhibition hall environment.

[0061] In a second aspect, the present invention provides an exhibition design system, comprising:

[0062] Building modules to construct the Metaverse exhibition hall design;

[0063] The receiving and parsing module receives and parses the exhibition content input by the user and generates an exhibition task vector;

[0064] Intelligent layout generation module, which uses intelligent algorithms to automatically generate exhibition layout plans based on exhibition task vectors and user needs;

[0065] The feedback collection and environment update module submits the exhibition hall layout design to the user, collects feedback information and updates it.

[0066] In a third aspect, an embodiment of the present invention provides a computer device, including a memory and a processor, wherein the memory stores a computer program, wherein: when the computer program is executed by the processor, any step of the exhibition design method described in the first aspect of the present invention is implemented.

[0067] In a fourth aspect, an embodiment of the present invention provides a computer-readable storage medium having a computer program stored thereon, wherein: when the computer program is executed by a processor, any step of the exhibition design method described in the first aspect of the present invention is implemented.

[0068] The beneficial effects of the present invention are as follows: by constructing a variety of 3D exhibition hall designs and combining historical exhibition data analysis, customized exhibition spaces can be provided for different target audiences, thereby enhancing user immersion and interactivity; the system designs a user-friendly input interface and uses JSON format to efficiently structure user input, thereby ensuring accurate collection of basic exhibition information, providing a clear data basis for subsequent layout, and improving user satisfaction; the intelligent algorithm is used to automatically generate exhibition layout plans to optimize the use of exhibition space; the number of exhibits, display methods, and audience flow design are comprehensively considered to quickly respond to user needs and enhance the flexibility and professionalism of the exhibition; the system collects user feedback through online questionnaires, and realizes dynamic updates of the exhibition hall environment; quantitative analysis of satisfaction and classification of user suggestions make data processing more scientific, thereby ensuring continuous improvement of exhibition quality. BRIEF DESCRIPTION OF THE DRAWINGS

[0069] In order to more clearly illustrate the technical solutions of the embodiments of the present invention, the accompanying drawings required for use in the description of the embodiments will be briefly introduced below. Obviously, the accompanying drawings described below are only some embodiments of the present invention. For ordinary technicians in this field, other accompanying drawings can be obtained based on these accompanying drawings without paying creative work.

[0070] Figure 1 This is a flow chart of the exhibition design method in Example 1.

[0071] Figure 2 This is a flow chart for forming the optimal template in Example 1. DETAILED DESCRIPTION

[0072] In order to make the above-mentioned objects, features and advantages of the present invention more obvious and easy to understand, the specific implementation methods of the present invention are described in detail below in conjunction with the accompanying drawings.

[0073] In the following description, many specific details are set forth to facilitate a full understanding of the present invention, but the present invention may also be implemented in other ways different from those described herein, and those skilled in the art may make similar generalizations without violating the connotation of the present invention. Therefore, the present invention is not limited to the specific embodiments disclosed below.

[0074] Secondly, the term "one embodiment" or "embodiment" as used herein refers to a specific feature, structure, or characteristic that may be included in at least one implementation of the present invention. The term "in one embodiment" that appears in different places in this specification does not necessarily refer to the same embodiment, nor does it refer to a separate or selective embodiment that is mutually exclusive with other embodiments.

[0075] Example 1, reference Figure 1 and Figure 2 , which is the first embodiment of the present invention, and provides an exhibition design method, comprising the following steps:

[0076] S1. Construct the metaverse exhibition hall design.

[0077] Specifically, constructing the Metaverse Exhibition Hall design includes the following steps:

[0078] S1.1. Choose a 3D exhibition hall template library that contains a variety of styles and themes.

[0079] It should be noted that the exhibition hall template library contains multiple types of exhibition hall templates, and each type of exhibition hall template corresponds to different exhibition hall data.

[0080] S1.2. Collect and analyze historical exhibition data, and extract target audiences and exhibition themes from the historical exhibition data.

[0081] The purpose of this step is to identify the interests and needs of different audience groups so as to better meet their expectations; adjust the exhibition content and format based on historical data to enhance the visitor's experience; identify effective exhibition strategies by analyzing successful exhibition themes to enhance the attractiveness of future exhibitions; formulate targeted publicity and marketing plans based on audience characteristics to increase exhibition participation; help exhibition planners make more informed decisions in site selection, exhibit selection and layout design; provide empirical evidence for exhibition planning and management, reduce subjective judgments, and improve the scientificity and effectiveness of decision-making.

[0082] S1.3. According to the target audience and exhibition theme, perform multi-dimensional matching on the exhibition hall templates in the exhibition hall template library to screen out candidate exhibition hall templates.

[0083] Specifically, performing multi-dimensional matching and screening out candidate exhibition hall templates includes the following steps:

[0084] Perform data cleaning on audience data in historical exhibition data; extract key features that affect audience preferences from the cleaned data.

[0085] It should be noted that the key characteristics include the audience’s age group, occupational distribution and preferred exhibition type.

[0086] S1.3.1. Use cluster analysis to classify audiences according to similar characteristics and preferences.

[0087] Specifically, using cluster analysis to classify audiences according to similar characteristics and preferences includes the following steps:

[0088] Select the K-means clustering algorithm, draw the clustering error sum of squares graph corresponding to different K values, observe the curve changes, and determine the optimal point of the K value; use the selected clustering algorithm to process the audience data and generate multiple audience categories.

[0089] Assign each audience's data point to the corresponding cluster to form a classification result table; conduct in-depth analysis of the characteristics of each cluster to identify the common characteristics and preferences of each group; for example, a cluster may be mainly composed of young students who prefer science and technology exhibitions; draw a cluster result map through data visualization tools to more intuitively display the characteristics of each audience group; based on the results of cluster analysis, provide targeted suggestions for subsequent exhibition planning, for example, launch more science and technology interactive exhibitions for young audiences, and design exhibition content with more cultural and historical value for retirees.

[0090] It should be noted that each category represents a group of audiences with similar characteristics and preferences.

[0091] S1.3.2. Select multiple variables related to audience behavior, apply factor analysis methods, calculate the correlation between variables, and extract the main factors; interpret the extracted factors to understand the meaning of each factor.

[0092] Specifically, the factor analysis method is applied to calculate the correlation between variables and extract the main factors, including the following steps:

[0093] Determine the relevant variables of the audience users' age, occupation, education level, frequency of participating in exhibitions, and preferred exhibition themes; use the correlation matrix to calculate the correlation between variables and identify the strength of the relationship between variables; select principal component analysis as the method of factor analysis, and extract the main factors by calculating eigenvalues ​​and eigenvectors; use the chi-square test and Bartlett's sphericity test to confirm that the data is suitable for factor analysis; extract factors based on eigenvalues ​​(usually greater than 1), and calculate the load of each factor on each variable to determine the relationship between variables and factors; analyze the extracted factors to see which variables have higher loads on specific factors and identify the meaning of the factors. For example, a factor may contain high loads of "preference for science and technology exhibitions" and "technical knowledge", which can be interpreted as "interest in science and technology"; name each factor according to the characteristics and load of the variables, and ensure that the name is concise and accurately reflects the characteristics of the factor.

[0094] S1.3.3. Combine the results of factor analysis with cluster analysis to generate a detailed audience profile.

[0095] Specifically, combining the results of factor analysis with cluster analysis includes the following steps:

[0096] Compare the performance of audiences in different clusters on various factors. For example, the audience of a certain cluster scores higher on the "cultural literacy" factor, indicating that they prefer cultural exhibitions. Based on the combined results of factor analysis and cluster analysis, provide targeted suggestions for exhibition planning. For example, for audiences with high "interest in science and technology", increase the interactive links in science and technology exhibitions, and design richer cultural experience activities for audiences who prefer "cultural literacy". Write detailed factor analysis and cluster analysis reports to display each factor and its impact on audience behavior. Apply the results of factor analysis to future exhibition planning, and continuously optimize the content and form of exhibitions to enhance audience participation and satisfaction.

[0097] S1.3.4. According to the target audience portrait, conduct matching analysis on the exhibition themes, select the exhibition themes that match the interests of the target audience, and form candidate themes.

[0098] Specifically, the matching analysis of exhibition themes includes the following steps:

[0099] Extract keywords from the audience portrait to identify key information such as audience interests, occupations, and age groups; compare these keywords with the topic descriptions in the topic library and the characteristics of the target audience to find matches; set fitness scoring rules to calculate the fitness score for each topic based on occupation relevance, age group relevance, and interest relevance; filter out topics with higher scores from the topic library based on the fitness score and set thresholds to filter out preliminary candidate topics; organize the filtered topics into a preliminary candidate topic list.

[0100] It should be noted that the preliminary candidate topic list includes topic name, description and fitness score.

[0101] S1.3.5. Prioritize the selected candidate themes to form a candidate exhibition hall template.

[0102] Set scoring criteria based on the audience's interest intensity, participation and interactivity, and calculate the total score for each candidate topic in the preliminary candidate topic list; sort the candidate topics from high to low based on the calculated total score to form a priority list; select candidate topics with higher scores from the priority list to form a candidate exhibition hall template.

[0103] S1.4. Adapt the selected candidate exhibition hall templates through a dynamic selection algorithm, and select the one with the highest adaptability as the best exhibition hall template to form the metaverse exhibition hall environment.

[0104] Specifically, adapting the selected candidate exhibition hall templates and selecting the one with the highest degree of adaptation as the best exhibition hall template includes the following steps:

[0105] Build a library of candidate exhibition hall templates and define the attribute vectors of the target audience;

[0106] Calculate the audience attribute compatibility with each template based on the audience attribute vector;

[0107] Calculate the theme's suitability based on the correlation between the exhibition theme and the template design style;

[0108] Combine audience attribute suitability and theme suitability to obtain the comprehensive suitability of each template;

[0109] By summarizing the fitness of all templates, the template with the highest fitness is identified as the best template for the final exhibition.

[0110] S2. Receive and parse the exhibition content input by the user, and generate an exhibition task vector.

[0111] S2.1. Design a user-friendly input interface to allow users to enter basic information about the exhibition.

[0112] It should be noted that the input interface includes the exhibition name, number of exhibits, display method, interactive module and additional information.

[0113] S2.2. Use JSON format to structure the basic information of the exhibition entered by the user and perform data verification.

[0114] It should be noted that the purpose of data validation is to use validation rules on the server or client side to check the validity of the input, for example, to check whether the number of exhibits is a positive integer, to ensure that the display method is in the predefined options, and to verify whether the number of interactive modules is reasonable; if the validation fails, an error message is returned and the user is required to re-enter the data; using JSON format to structure user input lays the foundation for subsequent data parsing and processing. Data validation ensures the validity and accuracy of the input, thereby improving data quality.

[0115] S2.3. Use the parsing library to convert the input JSON data into operable objects and extract the number of exhibits, display methods, and interactive modules.

[0116] It should be noted that a suitable parsing library is used to convert the JSON string into an operable object so that the program can directly access and operate the information input by the user.

[0117] S2.4. Define the structure of the exhibition task vector, calculate the value of the exhibition task vector according to the number of exhibits, the complexity of the display method and the number of interactive modules in the parsed exhibition content, and form the final exhibition task vector.

[0118] It should be noted that defining the structure of the exhibition task vector and calculating its value converts the user's exhibition needs into quantitative data form, providing specific guidance and basis for subsequent exhibition design and implementation.

[0119] S3. Use intelligent algorithms to automatically generate exhibition layout plans based on exhibition task vectors and user needs.

[0120] S3.1. Determine the number of exhibits to be displayed based on the exhibition theme and the interests of the target audience; based on the number of exhibits, determine the display method of the exhibits.

[0121] It should be noted that the display methods include static display, dynamic display and interactive display.

[0122] Furthermore, static displays are suitable for exhibits with a small number of exhibits or exhibits that require careful observation; dynamic displays are suitable for exhibits with a moderate number of exhibits and can display dynamic content (such as videos, demonstrations); interactive displays are suitable for exhibitions with a large number of exhibits and the desire to enhance audience participation; determining the number of exhibits and display methods provides basic data for subsequent exhibition hall layout design, ensuring that the exhibition can attract the target audience and convey the theme.

[0123] S3.2. Design the spatial layout of the exhibition hall based on the number of exhibits and display methods.

[0124] It should be noted that the spatial layout includes the placement of exhibits, audience flow, rest areas, overall atmosphere and theme style.

[0125] It should be noted that effective spatial layout design can enhance the visitor's visiting experience and ensure that the exhibition has good visibility and interactivity.

[0126] S3.3. Score the display effect of each exhibit; calculate the space required for each exhibit based on the actual size and display form of the exhibit; define the attribute vector of each exhibit; set a dynamic configuration algorithm based on the display effect, occupied space and attribute vector, and calculate the comprehensive score of the exhibition hall layout after dynamic configuration; create an initial layout matrix that represents the distribution of the exhibition hall space; select a genetic algorithm to evaluate the current layout matrix according to the exhibition task vector and user needs, use the layout comprehensive scoring formula to calculate the score of each layout and sort them in descending order; select the layout with a higher score as the parent from the layout scoring results; randomly select two layouts from the selected parent for crossover to generate a new layout plan; in the newly generated layout plan, randomly select a certain proportion of cells for mutation and exchange the positions of the exhibits; in each iteration, use the layout scoring formula to recalculate the score of the new layout; compare the current layout score with the previous score, and if the current score is higher, update the best layout; set the maximum number of iterations, and when the number of iterations is reached, stop the optimization to form the final layout plan.

[0127] It should be noted that by scoring the display effects of exhibits and using dynamic configuration algorithms, the layout of the exhibition hall can be continuously optimized to achieve the best results in space utilization and visitor experience. The application of genetic algorithms ensures the diversity and adaptability of layout plans and helps to find the optimal design plan.

[0128] S4. Submit the exhibition hall layout design to the user, collect feedback information and update it.

[0129] S4.1. Use online questionnaire tools to create questionnaires and collect feedback data from all users.

[0130] It should be noted that the questionnaire content includes satisfaction scores, open-ended questions and interactive module evaluations.

[0131] Furthermore, the satisfaction score refers to the score of the exhibition hall layout, exhibit display effect and interactive module.

[0132] S4.2. Conduct quantitative analysis on satisfaction in user feedback data.

[0133] It should be noted that quantitative analysis refers to the use of statistical analysis tools (such as Excel, SPSS, etc.) to analyze satisfaction scores, calculate the mean score, standard deviation and distribution, and identify the overall satisfaction level and the satisfaction level of each module.

[0134] It should be noted that quantitative analysis of satisfaction data can provide an objective evaluation of the exhibition hall's effectiveness and help identify which aspects perform well and which aspects need improvement.

[0135] S4.3. Analyze user feedback on interactive modules and identify the most popular and least popular modules; classify user suggestions for improvement and identify the most common types of suggestions; generate user portraits based on the collected feedback data; combine user portraits to analyze user needs for exhibition content and form and identify potential areas for improvement; formulate specific optimization plans and update the exhibition hall environment based on user feedback and data analysis results.

[0136] It should be noted that the optimization plan includes improvement measures, timetable and responsibility allocation.

[0137] Going further, the improvement measures include adjusting the layout of exhibits, adding interactive modules and improving the exhibit descriptions.

[0138] It should be noted that analyzing user feedback on interactive modules can directly guide the direction of improvement of interactive design and ensure that future exhibitions are more in line with audience expectations; classifying and counting user improvement suggestions can help to clearly understand user needs and concerns, and provide a specific basis for subsequent optimization; the generation of user portraits makes exhibition planning more targeted, which is helpful for the adjustment of future exhibition content and form; demand analysis can provide data support for the adjustment of exhibition content and form, ensuring that the exhibition is more attractive and interactive; by formulating and implementing specific optimization plans, the quality of exhibitions can be continuously improved, user satisfaction can be enhanced, and a virtuous circle can be formed.

[0139] This embodiment also provides an exhibition design system, including:

[0140] Building modules to construct the Metaverse exhibition hall design;

[0141] The receiving and parsing module receives and parses the exhibition content input by the user and generates an exhibition task vector;

[0142] Intelligent layout generation module, which uses intelligent algorithms to automatically generate exhibition layout plans based on exhibition task vectors and user needs;

[0143] The feedback collection and environment update module submits the exhibition hall layout design to the user, collects feedback information and updates it.

[0144] This embodiment also provides a computer device suitable for the exhibition design method, including: a memory and a processor; the memory is used to store computer executable instructions, and the processor is used to execute computer executable instructions to implement the exhibition design method proposed in the above embodiment.

[0145] The computer device may be a terminal, and the computer device includes a processor, a memory, a communication interface, a display screen and an input device connected through a system bus. Among them, the processor of the computer device is used to provide computing and control capabilities. The memory of the computer device includes a non-volatile storage medium and an internal memory. The non-volatile storage medium stores an operating system and a computer program. The internal memory provides an environment for the operation of the operating system and the computer program in the non-volatile storage medium. The communication interface of the computer device is used to communicate with an external terminal in a wired or wireless manner, and the wireless manner can be achieved through WIFI, an operator network, NFC (near field communication) or other technologies. The display screen of the computer device may be a liquid crystal display screen or an electronic ink display screen, and the input device of the computer device may be a touch layer covered on the display screen, or a key, trackball or touchpad provided on the housing of the computer device, or an external keyboard, touchpad or mouse, etc.

[0146] This embodiment also provides a storage medium on which a computer program is stored. When the program is executed by a processor, the display design method proposed in the above embodiment is implemented; the storage medium can be implemented by any type of volatile or non-volatile storage device or a combination of them, such as static random access memory (Static Random Access Memory, referred to as SRAM), electrically erasable programmable read-only memory (Electrically Erasable Programmable Read-Only Memory, referred to as EEPROM), erasable programmable read-only memory (Erasable Programmable Read Only Memory, referred to as EPROM), programmable read-only memory (Programmable Red-Only Memory, referred to as PROM), read-only memory (Read-Only Memory, referred to as ROM), magnetic storage, flash memory, magnetic disk or optical disk.

[0147] In summary, the present invention can provide customized exhibition spaces for different target audiences by constructing diversified 3D exhibition hall designs and combining historical exhibition data analysis, thereby enhancing user immersion and interactivity; the system designs a user-friendly input interface and uses JSON format to efficiently structure user input, thereby ensuring accurate collection of basic exhibition information, providing a clear data basis for subsequent layout, and improving user satisfaction; using intelligent algorithms to automatically generate exhibition layout plans to optimize the use of exhibition space; comprehensively considering the number of exhibits, display methods, and audience flow design, quickly responding to user needs, and improving the flexibility and professionalism of the exhibition; collecting user feedback through online questionnaires, and the system realizes dynamic updating of the exhibition hall environment; quantitatively analyzing satisfaction and classifying user suggestions, making data processing more scientific, and ensuring continuous improvement of exhibition quality.

[0148] It should be noted that the above embodiments are only used to illustrate the technical solutions of the present invention rather than to limit it. Although the present invention has been described in detail with reference to the preferred embodiments, those skilled in the art should understand that the technical solutions of the present invention may be modified or replaced by equivalents without departing from the spirit and scope of the technical solutions of the present invention, which should all be included in the scope of the claims of the present invention.

Claims

1. A method for exhibition design, characterized in that: include, Constructing the Metaverse Exhibition Hall Design; Receive and analyze the exhibition content input by the user and generate an exhibition task vector; Using intelligent algorithms, automatically generate exhibition layout plans based on exhibition task vectors and user needs; Submit the exhibition hall layout design to users, collect feedback and update; The construction of the Metaverse Exhibition Hall design includes the following steps: Select a 3D exhibition hall template library containing multiple styles and themes; the 3D exhibition hall template library contains multiple types of exhibition hall templates, and each type of exhibition hall template corresponds to different exhibition hall data; Collect and analyze historical exhibition data, and extract target audiences and exhibition themes from historical exhibition data; According to the target audience and the exhibition theme, the exhibition hall templates in the 3D exhibition hall template library are matched in multiple dimensions to screen out candidate exhibition hall templates; Through dynamic selection, the selected candidate exhibition hall templates are adapted, and the one with the highest adaptability is selected as the best exhibition hall template to form the metaverse exhibition hall environment; The multi-dimensional matching and screening of candidate exhibition hall templates include the following steps: Clean the audience data in historical exhibition data; Extract key features that affect audience preferences from the cleaned data; the key features include audience age, occupational distribution, and preferred exhibition types; Use cluster analysis to group audiences into groups with similar characteristics and preferences; Select multiple variables related to audience behavior, apply factor analysis methods, calculate the correlation between variables, and extract the main factors; Explain the extracted factors and understand the meaning of each factor; Combine the results of factor analysis with cluster analysis to generate detailed audience portraits; According to the target audience portrait, match and analyze the exhibition themes, screen out the exhibition themes that match the target audience's interests, and form candidate themes; Prioritize the selected candidate themes to form a candidate exhibition hall template; The adapting of the screened candidate exhibition hall templates and selecting the template with the highest adaptability as the best exhibition hall template comprises the following steps: Build a library of candidate exhibition hall templates and define the attribute vectors of the target audience; Calculate the audience attribute compatibility with each template based on the audience attribute vector; Calculate the theme's suitability based on the correlation between the exhibition theme and the template design style; Combine audience attribute suitability and theme suitability to obtain the comprehensive suitability of each template; By summarizing the fitness of all templates, the template with the highest fitness is identified as the best template for the final exhibition; The receiving and parsing of the exhibition content input by the user and generating the exhibition task vector comprises the following steps: Design a user-friendly input interface to allow users to enter basic information about the exhibition; Use JSON format to structure the basic information of the exhibition entered by the user and perform data verification; Use the parsing library to convert the input JSON data into actionable objects, extract the number of exhibits, display methods, and interactive modules; Define the structure of the exhibition task vector, calculate the value of the exhibition task vector according to the number of exhibits, the complexity of the display method and the number of interactive modules in the parsed exhibition content, and form the final exhibition task vector; The method of automatically generating an exhibition layout plan by using an intelligent algorithm according to the exhibition task vector and user needs includes the following steps: Determine the number of exhibits to be displayed based on the exhibition theme and the interests of the target audience; Determine the display method of exhibits based on the number of exhibits; Design the spatial layout of the exhibition hall according to the number of exhibits and display methods; Score the display effect of each exhibit; Calculate the space required for each exhibit based on its actual size and display format; Define the attribute vector for each exhibit; Based on the display effect, occupied space and attribute vector, a dynamic configuration algorithm is set to calculate the comprehensive score of the exhibition hall layout after dynamic configuration; Create an initial layout matrix representing the allocation of exhibition hall space; According to the exhibition task vector and user needs, a genetic algorithm is selected to evaluate the current layout matrix, and the layout comprehensive scoring formula is used to calculate the score of each layout and sort them in descending order; Select a layout with a higher score from the layout scoring results as the parent; Randomly select two layouts from the selected parent generation and cross them to generate a new layout solution; In the newly generated layout, a certain proportion of cells are randomly selected for mutation, and the positions of the exhibits in them are swapped; In each iteration, the score of the new layout is recalculated using the layout scoring formula; Compare the current layout score with the previous score, and if the current score is higher, update the best layout; Set the maximum number of iterations. When the number of iterations is reached, stop the optimization and form the final layout plan. Submit the exhibition hall layout design to the user, collect feedback information and update it, including the following steps: Use online questionnaire tools to create questionnaires and collect feedback data from all users; Conduct quantitative analysis of satisfaction in user feedback data; Analyze user feedback on interactive modules to identify the most and least popular modules; Categorize users’ improvement suggestions and identify the most common types of suggestions; Generate user portraits based on the collected feedback data; Combined with user portraits, analyze users' needs for exhibition content and form, and identify potential improvement directions; Based on user feedback and data analysis results, formulate specific optimization plans and update the exhibition hall environment.

2. An exhibition design system, based on the exhibition design method according to claim 1, characterized in that: include, Building modules to construct the Metaverse exhibition hall design; The receiving and parsing module receives and parses the exhibition content input by the user and generates an exhibition task vector; Intelligent layout generation module, which uses intelligent algorithms to automatically generate exhibition layout plans based on exhibition task vectors and user needs; The feedback collection and environment update module submits the exhibition hall layout design to the user, collects feedback information and updates it.

3. A computer device comprising a memory and a processor, wherein the memory stores a computer program, wherein: When the processor executes the computer program, the steps of the exhibition design method described in claim 1 are implemented.

4. A computer-readable storage medium having a computer program stored thereon, characterized in that: When the computer program is executed by a processor, the steps of the exhibition design method described in claim 1 are implemented.

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