Exhibition hall dynamic layout planning method and system based on three-dimensional modeling

Abstract

The invention provides an exhibition hall dynamic layout planning method and system based on three-dimensional modeling, and relates to the technical field of simulation modeling, and the method comprises the steps: building a layout simulation model of exhibition hall layout planning; performing association behavior response constraint on a layout evolution topological structure in the layout simulation model according to a cross correlation coefficient of display response characteristics among different display units to obtain a layout constraint condition among the display units; determining the spatial adaptability loss of each display unit under the condition of displaying different contents according to the change characteristics of the space utilization rate of each display unit under the condition of displaying different contents and the behavior feedback characteristics of the audience when each display unit displays different contents; and target optimization is carried out on the spatial streamline of each display unit in the target exhibition hall based on the layout constraint condition and all the spatial adaptability losses, and an optimal structure path for dynamic layout planning of the exhibition hall is obtained. According to the method, cost optimization of the exhibition hall layout structure can be realized based on the simulation model, so that the robustness of dynamic layout planning of the exhibition hall is improved.

Description

Technical Field

[0001] The present application relates to the field of simulation modeling technology, and more specifically, to a method and system for dynamic layout planning of exhibition halls based on three-dimensional modeling. Background Art

[0002] In the field of exhibition and display design, the layout of the exhibition hall directly affects the visitor's visiting efficiency and experience. Traditional layout methods mostly rely on manual experience and static design methods, which are difficult to dynamically respond to changes in audience behavior patterns and cannot fully adapt to diversified display needs. With the development of big data and artificial intelligence technology, layout simulation modeling based on audience behavior flow data and display unit parameters has become an important direction for improving the efficiency and intelligence level of exhibition hall configuration. Through simulation models, the exhibition hall layout can be previewed and multiple schemes can be evaluated in a virtual environment, thereby achieving cost savings, effect prediction and scheme optimization without actually building a physical environment, which has significant practical value.

[0003] Existing technologies generally suffer from delayed layout adjustment responses and a lack of targeted optimization processes. This is particularly evident in the lack of modeling capabilities for the dynamic relationship between behavioral interactions between display units and audience behavior flows. Traditional methods often treat each display unit as an independent structure, ignoring the coupling relationships between different display units in terms of audience flow, content attraction, and interactive feedback. This results in optimization strategies being unable to effectively guide spatial reconstruction, leading to unreasonable crowd flow or resource waste. In situations where display content frequently changes or audience demands fluctuate, optimization models lacking dynamic feedback mechanisms struggle to accurately predict spatial adaptability under different content layouts, thus affecting overall display effectiveness and visitor satisfaction. Therefore, how to achieve cost optimization of exhibition hall layout structures based on simulation models, thereby improving the robustness of dynamic exhibition hall layout planning, has become a difficult problem facing the industry. Summary of the Invention

[0004] This application provides a method and system for dynamic layout planning of exhibition halls based on three-dimensional modeling, which can realize cost optimization of exhibition hall layout structure based on simulation model, thereby improving the robustness of dynamic layout planning of exhibition halls.

[0005] In a first aspect, the present application provides a method for dynamic layout planning of an exhibition hall based on three-dimensional modeling, the layout planning method comprising the following steps:

[0006] A layout simulation model for dynamic layout planning of the exhibition hall is established based on the layout parameters, attribute parameters and audience behavior flow data of each display unit in the target exhibition hall;

[0007] Determine the mutual correlation coefficients of the display response characteristics between different display units based on the audience flow characteristics and display interaction information of each display unit. Based on all the mutual correlation coefficients, associate behavioral response constraints on the layout evolution topology in the layout simulation model to obtain the layout constraint conditions between the display units.

[0008] In the layout simulation model, the display content of each display unit is changed, and the change characteristics of the space utilization rate of each display unit when displaying different content are extracted. Then, all these change characteristics and the behavioral feedback characteristics of the audience when each display unit displays different content are combined to determine the spatial adaptability loss of each display unit under the conditions of displaying different content;

[0009] Based on the layout constraints and all spatial adaptability losses, the spatial streamlines of each display unit in the target exhibition hall are optimized to obtain the optimal structural path for the dynamic layout planning of the exhibition hall, and then the dynamic layout configuration of the target exhibition hall space is completed according to the optimal structural path.

[0010] In this embodiment, determining the correlation coefficients of the display response characteristics between different display units based on the audience flow characteristics and display interaction information of each display unit specifically includes:

[0011] Count the audience's stay time and movement trajectory density of each display unit within a preset time period to generate a distribution heat map of audience flow;

[0012] Extracting the interaction frequency and interaction depth between the audience and the display unit based on the display interaction information, and then determining the behavioral correlation between adjacent display units;

[0013] According to all behavioral correlations and the distribution heat map of the audience flow, the mutual correlation coefficients of the display response characteristics between different display units are obtained through normalized weighted processing.

[0014] In this embodiment, the layout evolution topology in the layout simulation model is subjected to associated behavioral response constraints based on all the mutual correlation coefficients, and the layout constraint conditions between the display units are obtained, specifically including:

[0015] constructing a display unit correlation matrix based on all the mutual correlation coefficients, marking high correlation unit pairs and low correlation unit pairs in the display unit correlation matrix;

[0016] In the layout evolution topology, adding spatial proximity constraints to high-correlation unit pairs and adding minimum separation distance constraints to low-correlation unit pairs;

[0017] Combined with the actual channel width and evacuation requirements of the exhibition hall, conflict detection and adjustment are performed on all spatial proximity constraints and minimum separation distance constraints, and the constraint condition set after conflict detection and adjustment is used as the layout constraint condition between display units.

[0018] In this embodiment, extracting the changing characteristics of the space usage rate of each display unit when displaying different contents specifically includes:

[0019] For each display unit, simulate the crowd density of the display unit when displaying different contents;

[0020] Count the space usage of display units when displaying different contents;

[0021] The variation characteristics of the space utilization rate of the display unit when displaying different contents are determined through all the crowd density and all the space utilization rates, and further the variation characteristics of the space utilization rate of each display unit when displaying different contents are determined.

[0022] In this embodiment, the spatial adaptability loss of each display unit under different content display conditions is determined by combining all the change characteristics and the audience's behavioral feedback characteristics when each display unit displays different content, specifically including:

[0023] For each display unit, the changing characteristics of space usage under different content display and the behavioral feedback characteristics of the audience when displaying different content are time-series aligned;

[0024] Performing correlation analysis on the change characteristics and behavioral feedback characteristics after time alignment, screening key display content that significantly affects the stability of the display unit layout, and determining the influence weight of the key display content;

[0025] The spatial adaptability loss of the display unit under conditions of displaying different contents is determined according to the occurrence frequency of the key display contents and the influence weight, thereby obtaining the spatial adaptability loss of each display unit under conditions of displaying different contents.

[0026] In this embodiment, the spatial streamlines of each display unit in the target exhibition hall are optimized based on the layout constraints and all spatial adaptability losses to obtain the optimal structural path for the dynamic layout planning of the exhibition hall. Specifically, the optimal structural path includes:

[0027] Constructing a cost function with the layout constraints as hard boundaries and minimizing spatial adaptability loss as the goal;

[0028] Genetic algorithms are used to iteratively optimize the position and orientation of each display unit to generate a set of candidate layout solutions;

[0029] The candidate layout schemes are verified by simulation and the scores of the centralized layout schemes are selected, and the scheme with the highest streamline efficiency and the lowest adaptability loss is selected as the optimal structural path for the dynamic layout planning of the exhibition hall.

[0030] In this embodiment, the display unit refers to a space module in the exhibition hall that has an independent display function.

[0031] In this embodiment, the layout parameters refer to spatial configuration parameters that describe the position, size, orientation, and relationship of the display unit with the surrounding environment in three-dimensional space.

[0032] In this embodiment, the attribute parameters refer to parameters of the function category, display theme, and interaction mode of the display unit.

[0033] In a second aspect, the present application provides a dynamic layout planning system for an exhibition hall based on three-dimensional modeling, which is used to execute a dynamic layout planning method for an exhibition hall based on three-dimensional modeling. The layout planning system includes:

[0034] A modeling module is used to establish a layout simulation model for dynamic layout planning of the exhibition hall based on the layout parameters, attribute parameters and audience behavior flow data of each display unit in the target exhibition hall;

[0035] A constraint module is used to determine the mutual correlation coefficients of the display response characteristics between different display units based on the audience flow characteristics and display interaction information of each display unit, and to perform associated behavioral response constraints on the layout evolution topology in the layout simulation model based on all the mutual correlation coefficients to obtain the layout constraint conditions between the display units;

[0036] The loss determination module is used to change the display content of each display unit in the layout simulation model, extract the change characteristics of the space utilization rate of each display unit when displaying different content, and then combine all the change characteristics with the behavioral feedback characteristics of the audience when each display unit displays different content to determine the spatial adaptability loss of each display unit under the conditions of displaying different content;

[0037] The optimization module is used to optimize the spatial streamlines of each display unit in the target exhibition hall based on the layout constraints and all spatial adaptability losses, obtain the optimal structural path for the dynamic layout planning of the exhibition hall, and then complete the dynamic layout configuration of the target exhibition hall space according to the optimal structural path.

[0038] The technical solutions provided by the embodiments disclosed in this application have the following beneficial effects:

[0039] First, a layout simulation model for the dynamic layout planning of the exhibition hall is established based on the layout parameters, attribute parameters and audience behavior flow data of each display unit in the target exhibition hall; the mutual correlation coefficients of the display response characteristics between different display units are determined according to the audience flow characteristics and display interaction information of each display unit, and the layout evolution topology structure in the layout simulation model is associated with behavioral response constraints based on all the mutual correlation coefficients to obtain the layout constraint conditions between the display units; the display content of each display unit is replaced in the layout simulation model, and the change characteristics of the space utilization rate of each display unit under the display of different contents are extracted, and then the spatial adaptability loss of each display unit under the display of different contents is determined by combining all the change characteristics and the behavioral feedback characteristics of the audience when each display unit displays different contents; based on the layout constraints and all the spatial adaptability losses, the spatial streamlines of each display unit in the target exhibition hall are targeted and optimized to obtain the optimal structural path for the dynamic layout planning of the exhibition hall, and then the dynamic layout configuration of the target exhibition hall space is completed according to the optimal structural path.

[0040] It can be seen that this application has constructed an overall planning system for dynamic optimization of exhibition halls by introducing a layout simulation model that combines three-dimensional modeling with audience behavior flow data, which has multi-level and multi-dimensional beneficial effects: First, a simulation model is established based on the layout parameters, attribute parameters and audience behavior flow data of the display units, which can realize the refined modeling of the exhibition hall in the spatial structure dimension and the behavior data dimension, providing a high-fidelity simulation basis for subsequent evolutionary analysis, and effectively improving the matching degree between the layout plan and the actual audience response; secondly, by extracting and analyzing the mutual correlation coefficients of the display response characteristics between different display units and converting them into behavioral response constraints in the topological structure, it breaks through the traditional static layout model where the display units are independent of each other. constraints, so that layout adjustments can dynamically reflect the interactive coupling relationship between display units and enhance the coordination and fluidity of the overall spatial structure. Then, with the help of the changing characteristics of space utilization rate under the change of display content and the audience feedback behavior, the spatial adaptability loss of each display unit is evaluated, and performance evaluation indicators are constructed from the two perspectives of spatial resource utilization and behavioral satisfaction to ensure that the optimization goal not only pursues structural compactness but also takes into account the audience experience. Finally, spatial streamline optimization is carried out under the dual drive of layout constraints and spatial adaptability loss to obtain the optimal structural path of the dynamic layout of the exhibition hall, so that the final configuration can simultaneously meet the comprehensive optimization of audience flow efficiency, display content compatibility and spatial adaptability, thereby improving the robustness and adaptability of layout decisions.

[0041] In summary, the present application solution can realize the cost optimization of the exhibition hall layout structure based on the simulation model, thereby improving the robustness of the dynamic layout planning of the exhibition hall. BRIEF DESCRIPTION OF THE DRAWINGS

[0042] In order to more clearly illustrate the embodiments of the present application or the technical solutions in the prior art, the following is a brief introduction to the drawings required for use in the embodiments or the description of the prior art. Obviously, the drawings described below are only the embodiments of the present application. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying any creative labor.

[0043] Figure 1 It is a flow chart of the exhibition hall dynamic layout planning method based on three-dimensional modeling provided in this application;

[0044] Figure 2 is an exemplary flow chart for determining layout constraints provided in this application;

[0045] Figure 3 is an exemplary flow chart for determining change characteristics according to the present application;

[0046] Figure 4 This is a module structure diagram of the exhibition hall dynamic layout planning system based on three-dimensional modeling provided by this application. DETAILED DESCRIPTION

[0047] The following will be combined with the drawings in the embodiments of this application to clearly and completely describe the technical solutions in the embodiments of this application. Obviously, the embodiments described are only part of the embodiments of this application, not all of the embodiments. Based on the embodiments in this application, all other embodiments obtained by ordinary technicians in this field without making creative efforts are within the scope of protection of this application.

[0048] The embodiment of the present application provides a method and system for dynamic layout planning of exhibition halls based on three-dimensional modeling, the core of which is to establish a layout simulation model for exhibition hall layout planning; to perform associated behavioral response constraints on the layout evolution topology in the layout simulation model according to the mutual correlation coefficients of the display response characteristics between different display units, and obtain layout constraint conditions between display units; to determine the spatial adaptability loss of each display unit under the conditions of displaying different contents through the change characteristics of the space utilization rate of each display unit under the conditions of displaying different contents and the behavioral feedback characteristics of the audience when each display unit displays different contents; to perform target optimization on the spatial streamlines of each display unit in the target exhibition hall based on the layout constraint conditions and all spatial adaptability losses, and obtain the optimal structural path for the dynamic layout planning of the exhibition hall. The present application can realize the cost optimization of the exhibition hall layout structure based on the simulation model, thereby improving the robustness of the dynamic layout planning of the exhibition hall.

[0049] Example 1: In order to better understand the above technical solution, the above technical solution will be described in detail below with reference to the accompanying drawings and specific implementation methods. Figure 1As shown in FIG, this figure is an exemplary flow chart of a method for dynamic layout planning of an exhibition hall based on three-dimensional modeling according to this embodiment of the present application. The method for dynamic layout planning of an exhibition hall based on three-dimensional modeling includes the following steps:

[0050] In step S1, a layout simulation model for dynamic layout planning of an exhibition hall is established based on the layout parameters, attribute parameters and audience behavior flow data of each display unit in the target exhibition hall.

[0051] It should be noted that the display unit in this application refers to a spatial module in the exhibition hall with independent display functions, which is the basic unit that can be adjusted in dynamic layout planning; the layout parameters in this application refer to the spatial configuration parameters that describe the position, size, orientation and relationship with the surrounding environment of the display unit in three-dimensional space; the attribute parameters refer to the parameters of the functional category, display theme and interaction method of the display unit, which are used to reflect its display characteristics and usage characteristics; the audience behavior flow data refers to the information collection that reflects the audience's spatial behavior pattern, such as the movement trajectory, residence time, interactive behavior and path selection in the exhibition hall.

[0052] In specific implementation, first, a three-dimensional spatial model of the target exhibition hall is created using a building information modeling tool. The layout parameters (such as size, location, and orientation) and attribute parameters (such as display content category and interaction type) of each display unit are embedded in the model to realize the construction of the basic scene. Secondly, indoor positioning technology (such as based on Wi-Fi probes) is used to collect the movement trajectory and residence time data of visitors in the exhibition hall. Combined with camera recognition, the audience's interactive behavior data (such as gesture operation and length of time of stop viewing) is obtained to obtain a complete audience behavior flow data set. Then, the above data is imported into a simulation platform (such as Unity 3D). Through the agent-based modeling method, the audience is set as an intelligent agent with specific behavioral rules, and their dynamic flow behavior between different display units is simulated in three-dimensional space. Finally, through the interaction rules and response mechanisms defined in the model, a dynamic feedback relationship between audience behavior and display unit layout is realized, thereby constructing a layout simulation model for dynamic exhibition hall layout planning with layout responsiveness.

[0053] In step S2, the mutual correlation coefficients of the display response characteristics between different display units are determined based on the audience flow characteristics and display interaction information of each display unit, and the layout evolution topology structure in the layout simulation model is associated with behavioral response constraints based on all the mutual correlation coefficients to obtain the layout constraint conditions between the display units.

[0054] In this embodiment, the following steps may be used to determine the correlation coefficients of the display response characteristics between different display units based on the audience flow characteristics and display interaction information of each display unit:

[0055] Count the audience's stay time and movement trajectory density of each display unit within a preset time period to generate a distribution heat map of audience flow;

[0056] Extracting the interaction frequency and interaction depth between the audience and the display unit based on the display interaction information, and then determining the behavioral correlation between adjacent display units;

[0057] According to all behavioral correlations and the distribution heat map of the audience flow, the mutual correlation coefficients of the display response characteristics between different display units are obtained through normalized weighted processing.

[0058] It should be noted that the preset time period in this application can be set to 10 minutes, and can also be set to other time periods in other embodiments, which is not specifically limited here; the movement trajectory density in this application refers to the distribution density of audience movement path points within a unit area, which is used to reflect the concentration and frequency of audience activities in a specific area; the distribution heat map in this application is a visual indicator map reflecting the distribution of the intensity of audience stay and movement behavior in the exhibition hall space; the interaction depth in this application is an indicator to measure the complexity of the interaction between the audience and the display unit, reflecting the audience's participation and interest in the display content; the movement trajectory density in this application is an indicator to measure the concentration of audience movement paths within a unit area, reflecting the density of audience activities in a specific area; the exhibition response characteristics in this application refer to the response pattern of the display unit to audience behavior and interaction; the behavior correlation in this application is an indicator to measure the strength of the audience behavior interaction correlation between display units.

[0059] In specific implementations, indoor positioning technology (such as Wi-Fi probe positioning) is first used to record the visitor's dwell time and movement trajectory at each display unit. A heat map is generated based on the density of trajectory points. Kernel density estimation can be used to spatially visualize the degree of trajectory aggregation in different areas, forming the visitor flow characteristics of the display unit. Second, video recognition or touch devices are used to record the visitor's interaction behavior with the display unit. The number of interactions per unit time (i.e., interaction frequency) and the duration or number of complex operations of each interaction (i.e., interaction depth) are extracted. The behavioral correlation between the display units is then calculated. The Pearson correlation coefficient or mutual information analysis method is often used to determine the synchronization or coupling of the interactive behaviors of two adjacent units. Finally, a normalized weighting formula is set to linearly weight the distribution heat map indicators of visitor flow (such as dwell time density) and the behavioral correlation according to the set weights. For example, each indicator is normalized by Z-score and then synthesized with a weight ratio of 1:1 or an adjustable coefficient to obtain the cross-correlation coefficient of the exhibition response characteristics between different display units. This cross-correlation coefficient can reflect the degree of coupling between the display units in terms of visitor response.

[0060] In this embodiment, reference Figure 2As shown in FIG. 1 , this figure is an exemplary flow chart for determining layout constraints in an embodiment of the present application. In this embodiment, the layout evolution topology in the layout simulation model is subjected to associated behavioral response constraints based on all mutual correlation coefficients. The layout constraints between the display units can be obtained by the following steps:

[0061] In step S21, a display unit correlation matrix is ​​constructed based on all the mutual correlation coefficients, and high correlation unit pairs and low correlation unit pairs are marked in the display unit correlation matrix;

[0062] In step S22, in the layout evolution topology structure, a spatial proximity constraint is added to the high-correlation unit pairs, and a minimum separation distance constraint is added to the low-correlation unit pairs;

[0063] In step S23, conflict detection and adjustment are performed on all spatial proximity constraints and minimum spacing distance constraints in combination with the actual channel width and evacuation requirements of the exhibition hall, and the constraint condition set after conflict detection and adjustment is used as the layout constraint condition between the display units.

[0064] It should be noted that the layout evolution topology structure in this application refers to the structural network composed of the connection relationships and relative positions of display units in space that dynamically change during the layout optimization process; the layout constraints in this application are a set of conditions that describe the spatial relationship restrictions and configuration rules between display units.

[0065] In the specific implementation, first, the mutual correlation coefficients between the two display units are used as matrix elements to construct a symmetric matrix, and then the symmetric matrix is ​​used as the display unit correlation matrix. In the matrix, a comparison threshold can be set first, and the display unit pairs with mutual correlation coefficients greater than or equal to the comparison threshold are marked as high-correlation unit pairs, and the display unit pairs with mutual correlation coefficients less than the comparison threshold are marked as low-correlation unit pairs; secondly, in the layout evolution topology structure, according to the high and low correlation groups of the display unit correlation matrix, spatial proximity constraints are set for high-correlation unit pairs (for example, the maximum distance between two display units is set to 2 meters) to ensure They can be arranged closer together to facilitate audience flow and interaction, while low-correlation unit pairs are subject to a minimum distance constraint (e.g., the minimum spacing between two display units is set to 5 meters) to prevent them from being too close to each other and affecting space utilization efficiency. Then, combined with the actual channel width of the exhibition hall (e.g., more than 1.5 meters) and evacuation requirements (e.g., compliance with fire evacuation regulations), all spatial proximity constraints and minimum distance constraints are subject to conflict detection. This process can use a conflict detection algorithm to detect conflicts between constraints, adjust layout relationships that do not meet the requirements, and ultimately use the adjusted constraint set as the layout constraint conditions between display units.

[0066] It should be noted that this application constructs a display unit association matrix based on audience behavior data. Compared with the traditional method of relying on fixed theme classification or artificial experience grouping, it can more accurately quantify the actual behavioral connections between units and improve the objectivity and adaptability of layout decisions; imposing spatial proximity or spacing constraints in the topological structure can effectively maintain the spatial aggregation of units with high behavioral correlation, thereby enhancing the continuity and immersion of audience flow lines, and avoiding the problem of exhibition interruption caused by the scattered layout of logically related units in the original technology; by introducing a conflict detection algorithm to jointly check the channel width and evacuation needs, compared with the traditional exhibition method that only relies on static preset rules, it significantly improves the layout plan's balance between functionality, safety and flexibility, and improves the intelligence level and practical adaptability of the overall configuration of the exhibition hall space.

[0067] In step S3, the display content of each display unit is changed in the layout simulation model, and the change characteristics of the space utilization rate of each display unit when displaying different content are extracted. Then, all the change characteristics and the behavioral feedback characteristics of the audience when each display unit displays different content are combined to determine the spatial adaptability loss of each display unit under the conditions of displaying different content.

[0068] It should be noted that in this application, replacing the display content of each display unit in the layout simulation model means replacing the display information or interactive form it carries while keeping the spatial position of the display unit unchanged, so as to simulate the impact of different content on space use and audience behavior. The process includes: first, selecting multiple representative display themes, such as science and technology, art, history, and immersive experience; second, configuring these display contents to each display unit in turn in the simulation environment, and completing content switching by calling the corresponding display interaction model (such as touch display, AR enhancement, and projection image); finally, recording the audience's behavioral responses and space usage in different content scenarios to provide data support for subsequent spatial adaptability analysis. For example, a display unit that was originally a static picture exhibition (art category) can be replaced with an interactive projection display (science and technology category), and then switched to an immersive sound experience (immersive category) to compare its impact on the audience's stay time, flow organization, and spatial congestion.

[0069] In this embodiment, reference Figure 3 As shown in FIG. 1 , this figure is an exemplary flow chart for determining change characteristics in an embodiment of the present application. In this embodiment, extracting the change characteristics of the space usage rate of each display unit when displaying different content can be achieved by using the following steps:

[0070] In step S31, for each display unit, the crowd density of the display unit is simulated when displaying different contents;

[0071] In step S32, the space usage of the display unit when displaying different contents is counted;

[0072] In step S33 , the variation characteristics of the space utilization rate of the display unit when displaying different contents are determined based on all the crowd densities and all the space utilization rates, and further the variation characteristics of the space utilization rate of each display unit when displaying different contents are determined.

[0073] It should be noted that the crowd density in this application is an indicator that measures the number of spectators gathered in a unit area within a specific time period; the space utilization rate in this application is an indicator that measures the actual occupation of the display unit by the audience within a specific time period.

[0074] In specific implementation, for each display unit, first, the preset different categories of display content (such as graphic exhibitions, interactive screens, and immersive projections) are replaced in the layout simulation model in turn. Crowd behavior simulation tools (such as AnyLogic) are used to simulate the audience's viewing path and stay behavior under each display content, and the crowd density of the display unit under different display contents is statistically obtained. Secondly, the actual floor space of the display unit and the audience's stay time are combined to calculate the proportion of the crowd coverage area per unit time, and then the space utilization rate under the conditions of each display content is calculated. Then, the crowd density and space utilization rate data corresponding to all display contents are normalized, and a space utilization rate change matrix is ​​constructed. Each element in this change matrix represents the change characteristics of the space utilization rate of the display unit under different display contents. Through the above steps, the change characteristics of the space utilization rate of each display unit under different display contents can be obtained.

[0075] In this embodiment, the following steps can be used to determine the spatial adaptability loss of each display unit under different content display conditions by combining all the change characteristics and the audience's behavioral feedback characteristics when each display unit displays different content:

[0076] For each display unit, the changing characteristics of space usage under different content display and the behavioral feedback characteristics of the audience when displaying different content are time-series aligned;

[0077] Performing correlation analysis on the change characteristics and behavioral feedback characteristics after time alignment, screening key display content that significantly affects the stability of the display unit layout, and determining the influence weight of the key display content;

[0078] The spatial adaptability loss of the display unit under conditions of displaying different contents is determined according to the occurrence frequency of the key display contents and the influence weight, thereby obtaining the spatial adaptability loss of each display unit under conditions of displaying different contents.

[0079] It should be noted that the impact weight in this application is an indicator that measures the degree of influence of the display content on the spatial adaptability of the display unit; the spatial adaptability loss in this application is an indicator that quantifies the degree of decline in the spatial utilization efficiency and audience behavior stability of the display unit under different display content conditions.

[0080] In the specific implementation, first, for each display unit, the change characteristics of the space utilization rate and the feedback characteristics of the audience behavior (such as residence time, interaction frequency, and movement speed) in the display of different content scenarios are collected, and the two are time-series aligned at the same time node. The linear interpolation method or dynamic time warping algorithm is often used to achieve the alignment and unification of data at different time scales; secondly, based on the aligned data, the Pearson correlation coefficient is used for correlation analysis to identify the key display content that is significantly correlated with the fluctuation of space utilization, that is, the content type that most obviously affects the change of audience behavior patterns, and the corresponding influence weight is determined by principal component analysis. It should be further explained that the corresponding influence weight can be determined by principal component analysis in the following way: the change characteristics of the space utilization rate after time-series alignment and the behavioral feedback characteristics can be integrated into a multidimensional feature matrix, in which each column represents a variable (such as changes in crowd density, fluctuations in interaction frequency), and each behavior represents a time node. The multidimensional feature matrix is ​​normalized to eliminate the influence of dimensional differences on subsequent analysis. The principal component analysis method is then applied to calculate the covariance matrix and extract the eigenvalues ​​and eigenvectors. By sorting the contribution rates of the eigenvalues, the first several principal components with higher cumulative variance contributions are identified. Finally, the load coefficients of each principal component and the original features are used as weight references to extract the characteristic variables most correlated with spatial stability fluctuations and their corresponding display contents. The frequency of occurrence of these contents is jointly calculated with the load coefficient (i.e., weighted average) to determine the comprehensive influence weight of each display content. Finally, a weighted loss function is constructed based on the frequency of occurrence of key display contents in all content switching scenarios and their influence weights. The weighted loss function expression is: loss value = ∑(occurrence frequency × influence weight). The spatial adaptability loss of each display unit in content switching is calculated. This loss value can be used as an evaluation basis for measuring the stable adaptability of the display unit to different contents.

[0081] In step S4, the spatial streamlines of each display unit in the target exhibition hall are optimized based on the layout constraints and all spatial adaptability losses to obtain the optimal structural path for the dynamic layout planning of the exhibition hall, and then the dynamic layout configuration of the target exhibition hall space is completed according to the optimal structural path.

[0082] In this embodiment, the spatial streamlines of each display unit in the target exhibition hall are optimized based on the layout constraints and all spatial adaptability losses to obtain the optimal structural path for the dynamic layout planning of the exhibition hall. Specifically, the optimal structural path includes:

[0083] Constructing a cost function with the layout constraints as hard boundaries and minimizing spatial adaptability loss as the goal;

[0084] Genetic algorithms are used to iteratively optimize the position and orientation of each display unit to generate a set of candidate layout solutions;

[0085] The candidate layout schemes are verified by simulation and the scores of the centralized layout schemes are selected, and the scheme with the highest streamline efficiency and the lowest adaptability loss is selected as the optimal structural path for the dynamic layout planning of the exhibition hall.

[0086] In the specific implementation, first, the layout constraints are input as hard boundary conditions, including the spatial proximity constraints between high-correlation units, the minimum spacing constraints between low-correlation units, and the channel width and evacuation specification requirements, that is, whether the display units with high behavioral correlation meet the requirements of proximity arrangement (if not, they will be eliminated), whether the display units with low behavioral correlation maintain the minimum spacing between them (if too close, they will be eliminated), and whether the basic safety specifications such as channel width and evacuation distance are met (if not, they will be eliminated). It is clearly stipulated that all candidate layout schemes must meet these boundary conditions, and the space extracted for each display unit under different display content is The spatial adaptability loss is structured and used as a key evaluation indicator to measure the layout effect. When constructing the cost function, the sum of the spatial adaptability loss of each display unit under the current layout scheme is used as the target evaluation amount. Only the schemes that meet all the hard boundary conditions are calculated, and those that do not meet them are directly eliminated. Then, the position coordinates (such as the X, Y position in the two-dimensional plane) and the orientation angle of each display unit are encoded as an individual "chromosome", and the entire exhibition hall layout constitutes an individual of a "population". The initial population is then used to generate multiple different initial layout schemes, and each scheme must meet the previously constructed The layout constraints are constructed, and infeasible individuals are filtered out through hard rules. The fitness of each feasible individual is evaluated according to the constructed cost function (minimizing the loss of spatial fitness). Some excellent individuals are further selected as parents according to the fitness from high to low. The parent position and orientation encoding are combined and reorganized through the crossover operator (such as single-point crossover or partial mapping crossover), and then a new generation of layout schemes is generated through the mutation operator (such as random fine-tuning of position or rotation angle). This process is continuously iterated. Individuals with low fitness are eliminated in each generation, and high fitness layouts are continuously retained and optimized. When the number of iterations reaches the preset upper limit or population When the fitness converges, the output of several individuals with the highest fitness constitutes a set of candidate layout schemes; finally, the simulation software is used to simulate the flow of people for each candidate layout scheme, and streamline efficiency indicators such as average travel path, stop density and congestion point distribution are extracted. The calculated spatial adaptability loss is used as another scoring indicator, and then all indicators are normalized. The weighted average method is used to calculate the comprehensive score, where the weight can be set according to the results of principal component analysis. Finally, the scoring results are sorted, and the scheme with the highest streamline efficiency and the smallest adaptability loss is selected as the optimal structural path to ensure that the layout scheme is highly practical and responsive.

[0087] It should be noted that completing the dynamic layout configuration of the target exhibition hall space according to the optimal structural path in this application refers to adjusting the position and orientation of the display unit according to the optimal structural path to achieve optimal utilization of space resources and efficient guidance of audience flow.

[0088] It can be seen that this application has constructed an overall planning system for dynamic optimization of exhibition halls by introducing a layout simulation model that combines three-dimensional modeling with audience behavior flow data, which has multi-level and multi-dimensional beneficial effects: First, a simulation model is established based on the layout parameters, attribute parameters and audience behavior flow data of the display units, which can realize the refined modeling of the exhibition hall in the spatial structure dimension and the behavior data dimension, providing a high-fidelity simulation basis for subsequent evolutionary analysis, and effectively improving the matching degree between the layout plan and the actual audience response; secondly, by extracting and analyzing the mutual correlation coefficients of the display response characteristics between different display units and converting them into behavioral response constraints in the topological structure, it breaks through the traditional static layout model where the display units are independent of each other. constraints, so that layout adjustments can dynamically reflect the interactive coupling relationship between display units and enhance the coordination and fluidity of the overall spatial structure. Then, with the help of the changing characteristics of space utilization rate under the change of display content and the audience feedback behavior, the spatial adaptability loss of each display unit is evaluated, and performance evaluation indicators are constructed from the two perspectives of spatial resource utilization and behavioral satisfaction to ensure that the optimization goal not only pursues structural compactness but also takes into account the audience experience. Finally, spatial streamline optimization is carried out under the dual drive of layout constraints and spatial adaptability loss to obtain the optimal structural path of the dynamic layout of the exhibition hall, so that the final configuration can simultaneously meet the comprehensive optimization of audience flow efficiency, display content compatibility and spatial adaptability, thereby improving the robustness and adaptability of layout decisions.

[0089] In summary, the present application solution can realize the cost optimization of the exhibition hall layout structure based on the simulation model, thereby improving the robustness of the dynamic layout planning of the exhibition hall.

[0090] In the second embodiment, the present application provides a dynamic layout planning system for exhibition halls based on three-dimensional modeling. Figure 4 As shown in FIG, this figure is a schematic diagram of a dynamic layout planning system for an exhibition hall based on three-dimensional modeling according to this embodiment of the present application. The dynamic layout planning system for an exhibition hall based on three-dimensional modeling includes:

[0091] Modeling module 100, for establishing a layout simulation model for dynamic layout planning of the exhibition hall based on layout parameters, attribute parameters and audience behavior flow data of each display unit in the target exhibition hall;

[0092] Constraint module 200 is used to determine the mutual correlation coefficients of the display response characteristics between different display units based on the audience flow characteristics and display interaction information of each display unit, and to perform associated behavioral response constraints on the layout evolution topology structure in the layout simulation model based on all the mutual correlation coefficients to obtain layout constraint conditions between the display units;

[0093] The loss determination module 300 is used to change the display content of each display unit in the layout simulation model, extract the change characteristics of the space utilization rate of each display unit when displaying different content, and then combine all the change characteristics with the audience's behavioral feedback characteristics when each display unit displays different content to determine the spatial adaptability loss of each display unit under the conditions of displaying different content;

[0094] The optimization module 400 is used to optimize the spatial streamlines of each display unit in the target exhibition hall based on the layout constraints and all spatial adaptability losses, obtain the optimal structural path for the dynamic layout planning of the exhibition hall, and then complete the dynamic layout configuration of the target exhibition hall space according to the optimal structural path.

[0095] The present application is described with reference to the flowcharts and / or block diagrams of the methods, devices (systems) and computer program products according to the embodiments of the present application. It should be understood that each process and / or box in the flowchart and / or block diagram, as well as the combination of processes and / or boxes in the flowchart and / or block diagram, can be implemented by computer program instructions. These computer program instructions can be provided to a processor of a general-purpose computer, a special-purpose computer, an embedded processor or other programmable data processing device to produce a machine, so that the instructions executed by the processor of the computer or other programmable data processing device generate instructions for implementing the processes in the flowchart and / or block diagram. Figure 1 a process or multiple processes and / or boxes Figure 1 A device that provides the functions specified in a block or multiple blocks.

[0096] Those skilled in the art will appreciate that all or part of the steps in the various methods of the above embodiments can be completed by instructing related hardware through a program. The program can be stored in a computer-readable storage medium, including a read-only memory (ROM), a random access memory (RAM), a programmable read-only memory (PROM), an erasable programmable read-only memory (EPROM), a one-time programmable read-only memory (OTPROM), an electronically erasable programmable read-only memory (EEPROM), a compact disc read-only memory (CD-ROM), or other optical disc storage, magnetic disk storage, or magnetic tape storage, or any other computer-readable medium capable of carrying or storing data.

[0097] It should also be noted that the terms "comprises," "includes," or any other variations thereof are intended to encompass non-exclusive inclusion, such that a process, method, commodity, or apparatus that includes a series of elements includes not only those elements but also other elements not explicitly listed, or includes elements inherent to such process, method, commodity, or apparatus. In the absence of further limitations, an element defined by the phrase "comprises a..." does not exclude the presence of other identical elements in the process, method, commodity, or apparatus that includes the element.

Claims

1. A dynamic layout planning method for exhibition halls based on three-dimensional modeling, characterized in that: The layout planning method comprises the following steps: A layout simulation model for dynamic layout planning of the exhibition hall is established based on the layout parameters, attribute parameters and audience behavior flow data of each display unit in the target exhibition hall; Determine the mutual correlation coefficients of the display response characteristics between different display units based on the audience flow characteristics and display interaction information of each display unit. Based on all the mutual correlation coefficients, associate behavioral response constraints on the layout evolution topology in the layout simulation model to obtain the layout constraint conditions between the display units. In the layout simulation model, the display content of each display unit is changed, and the change characteristics of the space utilization rate of each display unit when displaying different content are extracted. Then, all these change characteristics and the behavioral feedback characteristics of the audience when each display unit displays different content are combined to determine the spatial adaptability loss of each display unit under the conditions of displaying different content; Based on the layout constraints and all spatial adaptability losses, the spatial streamlines of each display unit in the target exhibition hall are optimized to obtain the optimal structural path for the dynamic layout planning of the exhibition hall, and then the dynamic layout configuration of the target exhibition hall space is completed according to the optimal structural path.

2. The method for dynamic layout planning of an exhibition hall based on three-dimensional modeling according to claim 1, characterized in that: The correlation coefficients of the display response characteristics between different display units are determined based on the audience flow characteristics and display interaction information of each display unit, including: Count the audience's stay time and movement trajectory density of each display unit within a preset time period to generate a distribution heat map of audience flow; Extracting the interaction frequency and interaction depth between the audience and the display unit based on the display interaction information, and then determining the behavioral correlation between adjacent display units; According to all behavioral correlations and the distribution heat map of the audience flow, the mutual correlation coefficients of the display response characteristics between different display units are obtained through normalized weighted processing.

3. The method for dynamic layout planning of an exhibition hall based on three-dimensional modeling according to claim 1, characterized in that: Based on all the mutual correlation coefficients, the layout evolution topology in the layout simulation model is subjected to associated behavioral response constraints, and the layout constraints between the display units are obtained, including: constructing a display unit correlation matrix based on all the mutual correlation coefficients, marking high correlation unit pairs and low correlation unit pairs in the display unit correlation matrix; In the layout evolution topology, adding spatial proximity constraints to high-correlation unit pairs and adding minimum separation distance constraints to low-correlation unit pairs; Combined with the actual channel width and evacuation requirements of the exhibition hall, conflict detection and adjustment are performed on all spatial proximity constraints and minimum separation distance constraints, and the constraint condition set after conflict detection and adjustment is used as the layout constraint condition between display units.

4. The method for dynamic layout planning of an exhibition hall based on three-dimensional modeling according to claim 1, characterized in that: The specific features of the space usage change of each display unit when displaying different contents include: For each display unit, simulate the crowd density of the display unit when displaying different contents; Count the space usage of display units when displaying different contents; The variation characteristics of the space utilization rate of the display unit when displaying different contents are determined through all the crowd density and all the space utilization rates, and further the variation characteristics of the space utilization rate of each display unit when displaying different contents are determined.

5. The method for dynamic layout planning of an exhibition hall based on three-dimensional modeling according to claim 1, characterized in that: Combining all the change characteristics and the audience's behavioral feedback characteristics when each display unit displays different content, the spatial adaptability loss of each display unit under different content display conditions is determined to include: For each display unit, the changing characteristics of space usage under different content display and the behavioral feedback characteristics of the audience when displaying different content are time-series aligned; Performing correlation analysis on the change characteristics and behavioral feedback characteristics after time alignment, screening key display content that significantly affects the stability of the display unit layout, and determining the influence weight of the key display content; The spatial adaptability loss of the display unit under conditions of displaying different contents is determined according to the occurrence frequency of the key display contents and the influence weight, thereby obtaining the spatial adaptability loss of each display unit under conditions of displaying different contents.

6. The method for dynamic layout planning of an exhibition hall based on three-dimensional modeling according to claim 1, characterized in that: Based on the layout constraints and all spatial adaptability losses, the spatial streamlines of each display unit in the target exhibition hall are optimized to obtain the optimal structural path for the dynamic layout planning of the exhibition hall. Specifically, the optimal structural path includes: Constructing a cost function with the layout constraints as hard boundaries and minimizing spatial adaptability loss as the goal; Genetic algorithms are used to iteratively optimize the position and orientation of each display unit to generate a set of candidate layout solutions; The candidate layout schemes are evaluated by simulation, and the scheme with the highest streamline efficiency and the lowest adaptability loss is selected as the optimal structural path for the dynamic layout planning of the exhibition hall.

7. The method for dynamic layout planning of an exhibition hall based on three-dimensional modeling according to claim 1, characterized in that: The display unit refers to a space module in the exhibition hall with independent display function.

8. The method for dynamic layout planning of an exhibition hall based on three-dimensional modeling according to claim 1, characterized in that: The layout parameters refer to spatial configuration parameters that describe the position, size, orientation, and relationship of the display unit with the surrounding environment in three-dimensional space.

9. The method for dynamic layout planning of exhibition halls based on three-dimensional modeling according to claim 1, characterized in that: The attribute parameters refer to the function category, display theme and interaction mode parameters of the display unit.

10. A dynamic layout planning system for an exhibition hall based on 3D modeling, used to execute a dynamic layout planning method for an exhibition hall based on 3D modeling according to any one of claims 1 to 9, characterized in that: The layout planning system includes: A modeling module is used to establish a layout simulation model for dynamic layout planning of the exhibition hall based on the layout parameters, attribute parameters and audience behavior flow data of each display unit in the target exhibition hall; A constraint module is used to determine the mutual correlation coefficients of the display response characteristics between different display units based on the audience flow characteristics and display interaction information of each display unit, and to perform associated behavioral response constraints on the layout evolution topology in the layout simulation model based on all the mutual correlation coefficients to obtain the layout constraint conditions between the display units; The loss determination module is used to change the display content of each display unit in the layout simulation model, extract the change characteristics of the space utilization rate of each display unit when displaying different content, and then combine all the change characteristics with the behavioral feedback characteristics of the audience when each display unit displays different content to determine the spatial adaptability loss of each display unit under the conditions of displaying different content; The optimization module is used to optimize the spatial streamlines of each display unit in the target exhibition hall based on the layout constraints and all spatial adaptability losses, obtain the optimal structural path for the dynamic layout planning of the exhibition hall, and then complete the dynamic layout configuration of the target exhibition hall space according to the optimal structural path.

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