Digital design method for village and town culture space

Abstract

The invention relates to the technical field of digital village and cultural heritage protection, and discloses a village and town cultural space digital design method, which comprises the following steps of: constructing a multi-dimensional information acquisition and modeling unit to form comprehensive acquisition and digital modeling integrating geographic space, architectural form and intangible cultural information; designing a lightweight immersive interaction unit, and superposing a virtual culture information layer in an entity space by means of augmented reality (AR) and mixed reality (MR) technologies; developing a cloud collaborative creation and dynamic updating unit, and providing a visual tool to support residents and cultural institutions to jointly participate in content editing; and an intelligent guide and propagation enabling unit is established, personalized path recommendation is provided based on user behaviors and a positioning technology, and a propagation product is automatically generated through a cross-platform engine. According to the method, the integrity and authenticity of the digital record of the cultural heritage are ensured, the problems of homogenized cultural expression and single transmission channel are solved, and the public influence and social vitality of the cultural space are improved.

Description

Technical Field

[0001] This invention relates to the field of digital rural and cultural heritage protection technology, specifically to a digital design method for village and town cultural spaces. Background Technology

[0002] Digital villages represent a significant transformation in the modernization of agriculture and rural areas. Promoting rural economic and social progress through the application of information and digital technologies is not only a strategic direction for rural revitalization but also a key component of building a digital China. Cultural heritage protection includes both tangible and intangible cultural heritage protection.

[0003] Currently, due to technical limitations in the information collection stage of digital design methods for village and town cultural spaces, it is impossible to simultaneously integrate geographical environment, architectural structure and non-material cultural elements when digitizing cultural resources. When the collected data is fragmented or missing, it will cause the digital twin model to be distorted, and the integrity and authenticity of cultural heritage cannot be guaranteed.

[0004] Therefore, a digital design method for village and town cultural spaces is proposed to address the above problems. Summary of the Invention

[0005] To address the shortcomings of existing technologies, this invention provides a digital design method for village and town cultural spaces, which solves the problems mentioned in the background technology, such as the inability to simultaneously integrate geographical environment, architectural structure and non-material cultural elements, and the inability to guarantee the integrity and authenticity of cultural heritage.

[0006] To achieve the above objectives, the present invention provides the following technical solution: a digital design method for village and town cultural spaces, the method comprising the following steps: S1. Through the multi-dimensional information collection and modeling unit, the geospatial, architectural and intangible cultural information of the target village and town cultural space is comprehensively collected and digitally modeled to generate digital twin base data of village and town culture. S2. Through a lightweight immersive interactive unit, based on the data of the digital twin base of the village and town culture, a virtual cultural information layer is superimposed and presented in the physical cultural space; S3. Through cloud-based collaborative creation and dynamic update units, a visualization tool module is provided for village and town residents and cultural institutions. Based on the village and town cultural digital twin base data and the virtual cultural information layer, collaborative content editing and spatial reshaping are carried out to generate dynamically updated cultural data. S4. Through the intelligent navigation and dissemination empowerment unit, based on user behavior data, location data, the digital twin base data of the village and town culture, the virtual cultural information layer, and the dynamically updated cultural data, personalized cultural path recommendations are made, and cultural dissemination products are generated and output across platforms.

[0007] Preferably, in step S1, the multi-dimensional information acquisition and modeling unit comprehensively collects and digitally models the geographic space, architectural form, and intangible cultural information of the target village and town cultural space to generate digital twin base data for village and town culture, including the following steps: S11. Using oblique photogrammetry, images of the geographical environment and architectural appearance of the target village and town cultural space are acquired and three-dimensionally reconstructed to generate three-dimensional model data of the geographical space and architectural appearance. S12. Using three-dimensional laser scanning technology, perform high-precision scanning and modeling of the internal structure and detailed features of key buildings and structures in the target village and town cultural space, and generate three-dimensional model data of building details. S13. Through the digital input method of humanistic elements, collect, organize and structure the intangible cultural information related to the historical evolution, folk activities, oral traditions and traditional skills of the target village and town cultural space, and generate intangible cultural information data. S14. The geographic space and building exterior three-dimensional model data, the building detail three-dimensional model data and the intangible cultural information data are fused and processed to construct the digital twin base data of the village and town culture; The quality of data fusion is evaluated using the following formula: ; in, To integrate quality indices, For the integrity of geospatial data, To ensure the accuracy of building form data, To enrich the information content of intangible cultural heritage, , , These are the corresponding weight coefficients, and they satisfy... .

[0008] Preferably, step S2, which uses a lightweight immersive interactive unit to overlay and present a virtual cultural information layer in the physical cultural space based on the digital twin data of the village and town culture, includes the following steps: S21. Call the geospatial and architectural appearance 3D model data and architectural detail 3D model data in the digital twin base data of the village and town culture as the basis for spatial positioning and registration of virtual and real integration; S22. Call the intangible cultural information data in the digital twin base data of the village and town culture, and transform it into interactive virtual cultural information elements; S23. Using augmented reality (AR) and mixed reality (MR) technologies, the interactive virtual cultural information elements are registered and overlaid with the physical cultural space in real time to form the virtual cultural information layer. S24. Through mobile terminals and wearable devices, an enhanced scene with the virtual cultural information layer superimposed is presented to the user in the physical cultural space, and the user is supported to interact with the cultural elements in the virtual cultural information layer.

[0009] Preferably, in step S3, the cloud-based collaborative creation and dynamic update unit provides a visualization tool module for village residents and cultural institutions. Based on the village cultural digital twin foundation data and the virtual cultural information layer, collaborative content editing and spatial reshaping are performed to generate dynamically updated cultural data, including the following steps: S31. Deploy the visualization tool module in the cloud, the visualization tool module providing functions such as 3D model editing, multimedia content mounting, and narrative path arrangement; S32. Authorize the villagers and cultural institutions to access the cloud-based collaborative creation and dynamic update unit through terminal devices, and use the visualization tool module to edit, annotate, supplement and reconstruct the data of the digital twin base of village culture and the content in the virtual cultural information layer. S33. Save the edited, annotated, supplemented and reconstructed content as the dynamically updated cultural data, and synchronously update the dynamically updated cultural data to the village and town cultural digital twin base data and the virtual cultural information layer.

[0010] Preferably, in step S4, the intelligent navigation and dissemination empowerment unit, based on user behavior data, location data, the digital twin base data of the village and town culture, the virtual cultural information layer, and the dynamically updated cultural data, performs personalized cultural path recommendations and generates and outputs cultural dissemination products across platforms, including the following steps: S41. Based on the user behavior data and the location data, analyze the user's interests and real-time location in the cultural space; S42. Combining the village and town cultural digital twin base data, the virtual cultural information layer, and the dynamically updated cultural data, generate personalized cultural experience path suggestions for users with different interests and real-time locations, namely, the personalized cultural path recommendation. S43. Through a cross-platform content generation engine, the data of the digital twin base of village and town culture, the virtual cultural information layer, the dynamically updated cultural data, and the personalized cultural path recommendation are automatically transformed into cultural dissemination products that are adapted to different media forms. S44. The cultural dissemination products are output and disseminated through internet platforms, mobile applications, and on-site guided tour equipment.

[0011] Preferably, in step S24, the specific operational steps for implementing the scenario-based narrative and interactive experience are as follows: S241. Based on the historical events, stories of people and folk customs in the intangible cultural heritage information data, design a narrative script with a timeline and logical relationship; S242. Decompose the narrative script into a series of continuous virtual scene nodes, and bind each virtual scene node to a specific geographical location and architectural object in the physical cultural space; S243. When a user arrives at the bound geographical location and identifies the bound building object through a mobile terminal and wearable device, the corresponding virtual scene node content is triggered and presented. S244. Set up interactive elements in the virtual scene nodes. The interactive elements include knowledge Q&A, virtual object operation, plot selection, and determine the narrative branch and unlock subsequent scene nodes based on user interaction feedback.

[0012] Preferably, in step S32, the specific structure and functions of the visualization tool module include: S321, a lightweight 3D model editing tool, enables simplification, cropping, and texture replacement operations on 3D models generated by oblique photogrammetry and laser scanning models; S322, Multimedia content association tool, which enables the association of multimedia files such as images, audio, video, and text to specific three-dimensional models and spatial coordinate points in the digital twin base data of the village and town culture; S323, Narrative Path Arrangement Tool, provides a graphical interface that allows users to drag and drop virtual scene nodes and set trigger conditions and connecting lines; S324, Access Control and Version Control Tools, assign differentiated content editing and review permissions to village and town residents and cultural institutions with different identities, and save the editing history.

[0013] Preferably, in step S43, the cross-platform content generation engine performs the following operations: S431. Receive a content generation request, wherein the request specifies the target media platform type; S432. Based on the preset content format specifications, resolution requirements and interactive characteristics of the target media platform type, extract suitable content materials from the village and town cultural digital twin base data, the virtual cultural information layer, the dynamically updated cultural data and the personalized cultural path recommendation; S433. The extracted content materials are automatically synthesized, rendered and packaged according to the specifications of the target media platform type. The generated cultural communication products include, but are not limited to: short videos and panoramic images for social media platforms, interactive 3D models for website display, and augmented reality (AR) recognition maps and overlay information for on-site tours.

[0014] Preferably, the method further includes step S5: S5. Through data fusion and system closed-loop management unit, the data of the digital twin base of village and town culture, the virtual cultural information layer, the dynamically updated cultural data, user interaction data and the dissemination effect data of cultural dissemination products are gathered, analyzed and visualized to form a complete closed-loop management view from digital protection of cultural resources, immersive experience, public collaborative creation to intelligent dissemination feedback, to assist in cultural heritage protection decision-making and digital design optimization. The expected user satisfaction value for personalized cultural path recommendations is calculated using the following formula: ; in, The user's expected satisfaction with the recommended path. This refers to the number of cultural sites and experiences included in the recommended route. For the i-th cultural point, the interest matching degree is predicted based on the user's historical behavior. This is the experience smoothness coefficient of this cultural point in the current path planning.

[0015] Preferably, the specific steps for forming the closed-loop management view in step S5 are as follows: S51. Data aggregation: Continuously collect and store full-process data generated by the multi-dimensional information collection and modeling unit, the lightweight immersive interaction unit, the cloud-based collaborative creation and dynamic update unit, and the intelligent navigation and dissemination empowerment unit; S52. Data Analysis: Utilize data analysis techniques to process the collected data and analyze key indicators such as the digital integrity of cultural resources, hotspots of user interaction, resident participation, and audience feedback on disseminated products. S53. Visual presentation: The key indicators obtained from the analysis are visualized through management cockpit charts, 3D heat maps, and data dashboards to form the complete closed-loop management view; S54. Decision Support: Based on the complete closed-loop management view, cultural managers evaluate the effectiveness of digital design, identify weaknesses, and formulate subsequent plans for key cultural resource acquisition, optimization of experience content, and adjustment of dissemination strategies.

[0016] Compared with existing technologies, this invention provides a digital design method for village and town cultural spaces, which has the following beneficial effects: 1. In this invention, by constructing a multi-dimensional information collection and modeling unit, the geographic space, architectural form and intangible cultural information of village and town cultural spaces are comprehensively collected and integrated to generate digital twin base data of village and town culture. This solves the problem of digital model distortion caused by fragmented information collection and missing data, ensures the integrity and authenticity of digital records of cultural heritage, and lays a reliable data foundation for all subsequent digital applications.

[0017] 2. In this invention, by designing a lightweight immersive interactive unit and using augmented reality (AR) and mixed reality (MR) technologies, the virtual cultural information layer is registered and overlaid with the physical cultural space in real time. This solves the problems of the disconnect between virtual content and physical space and the weak sense of immersion. Through scenario-based narrative and interactive experience, it provides users with a strong sense of presence and high level of participation in cultural experiences, stimulating the public's interest in exploration and interaction.

[0018] 3. In this invention, by developing a cloud-based collaborative creation and dynamic update unit, a visual tool module is provided for village residents and cultural institutions to support collaborative content editing and spatial reshaping. At the same time, combined with an intelligent navigation and dissemination empowerment unit, personalized cultural path recommendations are provided based on user behavior and location data, and cross-platform cultural dissemination products are automatically generated. This can solve the problems of homogenization of cultural expression and single dissemination channels, and enhance the public influence and social vitality of cultural spaces. Attached Figure Description

[0019] Figure 1 This is a flowchart illustrating the steps of the digital design method for village and town cultural spaces according to the present invention. Detailed Implementation

[0020] The technical solutions of the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some embodiments of the present invention, and not all embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those skilled in the art without creative effort are within the scope of protection of the present invention.

[0021] Please see Figure 1 The specific implementation of the digital design method for village and town cultural spaces is as follows, and the method includes the following steps: S1. Through the multi-dimensional information collection and modeling unit, the geospatial, architectural and intangible cultural information of the target village and town cultural space is comprehensively collected and digitally modeled to generate digital twin base data of village and town culture. S2. Through lightweight immersive interactive units, based on the digital twin data of village and town culture, a virtual cultural information layer is superimposed and presented in the physical cultural space to provide a scenario-based narrative and interactive experience. S3. Through cloud-based collaborative creation and dynamic update units, a visualization tool module is provided for village and town residents and cultural institutions. Based on the digital twin data of village and town culture and the virtual cultural information layer, collaborative content editing and spatial reshaping are carried out to generate dynamically updated cultural data. S4. Through the intelligent navigation and dissemination empowerment unit, based on user behavior data, location data, village and town cultural digital twin base data, virtual cultural information layer and dynamically updated cultural data, personalized cultural path recommendations are made, and cultural dissemination products are generated and output across platforms.

[0022] Step S1 involves using a multi-dimensional information collection and modeling unit to comprehensively collect and digitally model the geographic space, architectural form, and intangible cultural information of the target village and town cultural space, generating digital twin base data for village and town culture. This includes the following steps: S11. Using oblique photogrammetry, images of the geographical environment and architectural appearance of the target village and town cultural space are collected and reconstructed in three dimensions to generate three-dimensional model data of the geographical space and architectural appearance. S12. Use 3D laser scanning technology to perform high-precision scanning and modeling of the internal structure and detailed features of key buildings and structures in the cultural space of the target village and town, and generate 3D model data of building details. S13. Through the digital input of humanistic elements, collect, organize and structure the intangible cultural information related to the historical evolution, folk activities, oral traditions and traditional skills of the target village and town cultural space, and generate intangible cultural information data. S14. Integrate and process the geospatial and architectural 3D model data, architectural detail 3D model data, and intangible cultural information data to construct a digital twin foundation data for village and town culture. The quality of data fusion is evaluated using the following formula: ; in, To integrate quality indices, For the integrity of geospatial data, To ensure the accuracy of building form data, To enrich the information content of intangible cultural heritage, , , These are the corresponding weight coefficients, and they satisfy... .

[0023] Step S2 involves using lightweight immersive interactive units to overlay and present a virtual cultural information layer in the physical cultural space based on the digital twin data of village and town culture. This includes the following steps: S21. Use the geospatial and architectural exterior 3D model data and architectural detail 3D model data from the digital twin base data of village and town culture as the basis for spatial positioning and registration of virtual and real integration; S22. Call upon the intangible cultural information data in the digital twin base data of village and town culture, and transform it into interactive virtual cultural information elements; S23. By using augmented reality (AR) and mixed reality (MR) technologies, interactive virtual cultural information elements are registered and overlaid with physical cultural spaces in real time to form a virtual cultural information layer. After performing virtual-real space registration, obtain Spatial coordinates of virtual information elements for accuracy verification and their corresponding physical space coordinates And based on a preset distance tolerance threshold The registration accuracy between virtual and real spaces is calculated using the following formula. : ; in, This represents the registration accuracy between virtual and real spaces; a value closer to 1 indicates more accurate registration. To achieve the required number of feature point pairs for registration checks, Let K be the spatial coordinates of the k-th virtual information element. Its corresponding physical space coordinates, Calculate the Euclidean distance between two points. The preset distance tolerance threshold is used when the registration accuracy is... When the values ​​fall below a preset threshold, the system triggers a recalibration process for the registration parameters. S24. Through mobile terminals and wearable devices, an enhanced scene with an overlay of virtual cultural information layer is presented to users in physical cultural spaces, and users are supported to interact with cultural elements in the virtual cultural information layer to realize scene-based narrative and interactive experience.

[0024] Step S3 utilizes a cloud-based collaborative creation and dynamic update unit to provide visualization tools for village residents and cultural institutions. Based on the village's cultural digital twin foundation data and virtual cultural information layer, collaborative content editing and spatial reshaping are performed to generate dynamically updated cultural data, including the following steps: S31. Deploy a visualization tool module in the cloud, which provides functions such as 3D model editing, multimedia content mounting, and narrative path arrangement. S32. Authorize village and town residents and cultural institutions to access the cloud-based collaborative creation and dynamic update unit through terminal devices, and use visualization tool modules to edit, annotate, supplement and reconstruct the content in the village and town cultural digital twin base data and virtual cultural information layer; During collaborative content editing, the system continuously records and counts the number of unique users participating in the editing process. Number of content versions contributed by residents and the number of feedback and modification requests submitted by residents. In conjunction with the total number of target residents in villages and towns Total number of versions of content items and the total number of feedback received for this content item The resident participation index is calculated periodically using the following formula. : ; in, This serves as a resident participation index, measuring the level of activity in collaborative creation. The number of users who participate in content editing. The target total number of residents in the village / town. The number of content versions contributed to residents This represents the total number of versions of this content item. The number of feedback and modification requests submitted by residents. The total number of responses received for this content item , , These are weighting coefficients, and they satisfy... ; Resident participation index Visualize it as a key indicator for measuring community cultural activity and the effectiveness of collaborative creation; S33. Save the edited, annotated, supplemented and reconstructed content as dynamically updated cultural data, and synchronize the dynamically updated cultural data to the village and town cultural digital twin base data and virtual cultural information layer to realize the living continuation of cultural expression.

[0025] Step S4, through the intelligent navigation and dissemination empowerment unit, based on user behavior data, location data, village and town cultural digital twin foundation data, virtual cultural information layer, and dynamically updated cultural data, provides personalized cultural route recommendations and generates and outputs cultural dissemination products across platforms, including the following steps: S41. Based on user behavior data and location data, analyze users' interests and preferences and real-time location in cultural spaces; S42. By combining the digital twin base data of village and town culture, the virtual cultural information layer and dynamically updated cultural data, personalized cultural experience path suggestions are generated for users with different interests and real-time locations, namely personalized cultural path recommendations. The system constructs user interest vectors based on users' historical behavior data. Specifically, based on user clicks, dwell time, and active search records at cultural sites, weighted statistics and TF-IDF (Term Frequency-Inverse Document Frequency) methods are used to quantify behavioral data into multi-dimensional interest weights, forming vectors. Furthermore, a cultural site feature vector is constructed based on the attribute features of the cultural sites. The attribute features include the type, era, related figures' tags, and keyword text descriptions of cultural points, which are normalized to form a feature vector. The system assigns each candidate path The recommended quality score is calculated using the following formula. And sort and filter according to the scores: ; in, For path The recommendation quality score determines the priority of recommendations; higher scores result in higher recommendations. For path The collection of cultural elements included User interest vector With cultural points eigenvectors Cosine similarity between them For path The number of cultural points in the middle, For cultural points arrive The physical distance and logical connection costs, This is a balance coefficient between interest matching and path smoothness, 0 ≤ ≤1; S43. Through a cross-platform content generation engine, the digital twin base data of village and town culture, virtual cultural information layer, dynamically updated cultural data and personalized cultural path recommendations are automatically transformed into cultural communication products that are adapted to different media forms. S44. Disseminate and promote cultural products through internet platforms, mobile applications, and on-site guided tour equipment.

[0026] In step S24, the specific operational steps for implementing scenario-based storytelling and interactive experience are as follows: S241. Based on historical events, stories of people, and folk customs in intangible cultural heritage information data, design a narrative script with a timeline and logical relationship. S242. Decompose the narrative script into a series of continuous virtual scene nodes, and bind each virtual scene node to a specific geographical location and architectural object in the physical cultural space; S243. When a user arrives at the bound geographical location and identifies the bound building object through a mobile terminal and wearable device, the corresponding virtual scene node content is triggered and presented. S244. Set up interactive elements in virtual scene nodes. The interactive elements include knowledge Q&A, virtual object operation, plot selection, and determine the narrative branch and unlock subsequent scene nodes based on user interaction feedback. In the narrative path arrangement tool, the system calculates the coherence score for each designed narrative path L. Evaluation and optimization suggestions: ; in, For narrative path Consistency score, This represents the total number of virtual scene nodes along this path. For the first Each scene node It is an evaluation function that calculates the neighboring scene nodes. and The strength of connection in terms of temporal logic, spatial transformation, and plot relevance is specifically achieved by: based on a preset rule base, for adjacent nodes... and The plot keywords are matched, and a comprehensive score is given based on the preset time sequence and geographical transfer logic between nodes. The scoring rules are as follows: 1 point is given for complete compliance with the temporal and spatial logic, 0.5 points are given for partial compliance, and 0 points are given for no direct connection. The value is between 0 and 1. Narrative path arrangement tools will score coherence. Paths below a preset threshold are marked as paths to be optimized.

[0027] In step S32, the specific structure and functions of the visualization tool module include: S321, a lightweight 3D model editing tool, enables simplification, cropping, and texture replacement operations on 3D models generated by oblique photogrammetry and laser scanning models; S322, Multimedia content association tool, which enables the association of multimedia files such as images, audio, video, and text to specific three-dimensional models and spatial coordinate points in the digital twin base data of village and town culture; When performing a linking operation, the tool records the number of content items that were successfully linked. and the total time consumed And calculate the average content association efficiency. To monitor tool performance: ; in, To improve the average content association efficiency, The number of multimedia content items that are successfully associated within a specified time period. To complete The total time consumed by this association operation; When average content association efficiency When the performance consistently falls below the preset threshold, the system sends a performance warning to the administrator. S323, Narrative Path Arrangement Tool, provides a graphical interface that allows users to drag and drop virtual scene nodes, set trigger conditions and connecting lines to construct different cultural experience narrative paths; S324, Access Control and Version Control Tools, assign differentiated content editing and review permissions to village and town residents and cultural institutions with different identities, and save the editing history.

[0028] In step S43, the cross-platform content generation engine performs the following operations: S431. Receive a content generation request, specifying the target media platform type in the request; S432. Based on the content format specifications, resolution requirements and interactive characteristics of the preset target media platform type, extract suitable content materials from the digital twin base data of village and town culture, virtual cultural information layer, dynamically updated cultural data and personalized cultural path recommendations. S433. The extracted content materials are automatically synthesized, rendered, and packaged according to the specifications of the target media platform type. The generated cultural communication products include, but are not limited to: short videos and panoramic images for social media platforms, interactive 3D models for website display, and augmented reality (AR) recognition maps and overlay information for on-site tours.

[0029] The method also includes step S5: S5. Through data fusion and system closed-loop management units, the data of the digital twin base of village and town culture, virtual cultural information layer, dynamically updated cultural data, user interaction data and dissemination effect data of cultural dissemination products are gathered, analyzed and visualized, forming a complete closed-loop management view from digital protection of cultural resources, immersive experience, public collaborative creation to intelligent dissemination feedback, to assist in cultural heritage protection decision-making and digital design optimization. The expected user satisfaction value for personalized cultural path recommendations is calculated using the following formula: ; in, The user's expected satisfaction with the recommended path. This refers to the number of cultural sites and experiences included in the recommended route. For the i-th cultural point, the interest matching degree is predicted based on the user's historical behavior. This is the experience smoothness coefficient of this cultural point in the current path planning.

[0030] The specific steps for forming the closed-loop management view in step S5 are as follows: S51. Data Aggregation: Continuously collect and store full-process data generated by the multi-dimensional information collection and modeling unit, the lightweight immersive interaction unit, the cloud-based collaborative creation and dynamic update unit, and the intelligent navigation and dissemination empowerment unit. S52. Data Analysis: Process the aggregated data using data analysis techniques, including: applying data quality assessment methods such as integrity and consistency calculations to analyze the digital integrity of cultural resources; applying spatial data analysis techniques such as kernel density analysis to identify user interaction hotspots; applying statistical analysis methods such as descriptive statistics and participation rate calculations to quantify resident participation; and applying text and behavioral analysis techniques such as sentiment analysis and theme mining to evaluate key indicators such as audience feedback on dissemination products. S53. Visual presentation: The key indicators obtained from the analysis are visualized through management cockpit charts, 3D heat maps, and data dashboards to form a complete closed-loop management view; S54. Decision Support: Based on a complete closed-loop management view, cultural managers evaluate the effectiveness of digital design, identify weaknesses, and formulate subsequent plans for key cultural resource acquisition, optimization of experience content, and adjustment of dissemination strategies.

[0031] The operational steps of the digital design method for village and town cultural spaces are as follows: Step 1: Constructing a digital twin foundation for village and town culture: The first step involves constructing the digital foundation of the target through multi-dimensional information acquisition and modeling units. Specifically, firstly, oblique photogrammetry technology is used to perform 3D reconstruction of the geographical environment and building exteriors of villages and towns, generating 3D model data of geospatial and building exteriors. Secondly, 3D laser scanning technology is used to perform high-precision scanning of the internal structure and details of key buildings and structures, generating 3D model data of building details. Simultaneously, through the digital input of humanistic elements, intangible cultural information such as historical evolution and folk activities is collected and organized to generate structured intangible cultural information data. Finally, the above three types of data are fused and processed to construct a unified digital twin foundation data for village and town culture, serving as the sole data source for all subsequent digital applications. During this process, a preset fusion quality index formula can be used. This is used to assess the quality of data fusion and ensure the integrity and authenticity of digital records.

[0032] Step 2: Achieve immersive interaction that blends the virtual and real worlds: The second step involves creating an enhanced experience based on a digital twin platform using lightweight immersive interactive units. The system utilizes geospatial and architectural model data from the platform as a spatial positioning basis, transforming intangible cultural information data into interactive virtual cultural information elements. Leveraging augmented reality (AR) and mixed reality (MR) technologies, these virtual elements are registered and overlaid with the physical cultural space in real time, forming a virtual cultural information layer. Users can then view the enhanced scene overlaid with this virtual information layer in the physical space via mobile terminals and wearable devices. To achieve contextualized narrative, the system designs a narrative script based on the intangible cultural information and breaks it down into virtual scene nodes bound to specific geographical locations. When a user arrives at the corresponding location, the node content is triggered, and through interactive elements such as knowledge quizzes and virtual object manipulation, the user determines the narrative branch, achieving a deep interactive experience. In this step, the accuracy of the virtual-real spatial registration can be calculated. To evaluate and calibrate the accuracy of the superposition.

[0033] Step 3: Support cloud-based collaborative creation and dynamic updates: The third step involves achieving the living transmission of cultural content through cloud-based collaborative creation and dynamic updates. The system deploys visualization tools in the cloud, providing functions such as 3D model editing, multimedia content mounting, and narrative path arrangement. Authorized village residents and cultural institutions access these modules via terminals, using these tools to edit, annotate, supplement, and reconstruct the content in the digital twin base data and virtual cultural information layer. All modifications are saved as dynamically updated cultural data and synchronously updated in the base and virtual information layer, ensuring the continuous evolution of cultural expression. During this process, the system can utilize the resident participation index formula... To quantify and assess the level of collaborative creation activity, the visualization tool module specifically includes a lightweight editing tool for model processing, a content association tool for linking multimedia files, a narrative path arrangement tool for design experience flow, and a permission management and version control tool.

[0034] Step 4: Provide intelligent navigation and cross-platform dissemination: The fourth step involves leveraging intelligent navigation and dissemination capabilities to achieve personalized services and widespread dissemination. Based on collected user behavior and real-time location data, the system analyzes user interests and preferences, combining this with digital twin foundation data, a virtual cultural information layer, and dynamically updated cultural data to generate personalized cultural experience path suggestions for different users. During path generation, a recommendation quality score formula is used. The system evaluates and optimizes candidate paths, balancing user interest matching with path fluency. Subsequently, the cross-platform content generation engine automatically extracts materials from the aforementioned data sources according to the specifications of the target media platform, synthesizes, renders, and packages them into different forms of cultural communication products such as short videos, interactive 3D models, and augmented reality (AR) recognition images, which are then output and disseminated through internet platforms, mobile applications, and on-site guide equipment.

[0035] Step 5: Establish closed-loop management and decision support for the system. The fifth step involves optimizing the entire process and providing decision support through a data fusion and closed-loop system management unit. This unit continuously aggregates data from all the aforementioned units, including digital twin foundation data, user interaction data, and dissemination effect data. Data analytics is used to process this data, analyzing key indicators such as the digital integrity of cultural resources, user interaction hotspots, resident participation, and audience feedback on dissemination products. These indicators are then visualized using management dashboards, 3D heat maps, and data dashboards, forming a complete closed-loop management view from digital protection of cultural resources, immersive experiences, public collaborative creation to intelligent dissemination feedback. Cultural managers can use this view to evaluate effectiveness, identify weaknesses, and formulate subsequent resource collection, content optimization, and dissemination strategy adjustments. Furthermore, the system calculates the expected user satisfaction value for personalized cultural path recommendations. This is used to predict and optimize recommendation performance.

[0036] It should be noted that, in this document, relational terms such as "first" and "second" are used merely to distinguish one entity or operation from another, and do not necessarily require or imply any such actual relationship or order between these entities or operations. Furthermore, the terms "comprising," "including," or any other variations thereof are intended to cover non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements includes not only those elements but also other elements not expressly listed, or elements inherent to such a process, method, article, or apparatus. Without further limitations, an element defined by the phrase "comprising one..." does not exclude the presence of other identical elements in the process, method, article, or apparatus that includes said element.

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

Claims

1. A digital design method for village and town cultural spaces, characterized in that, The method includes the following steps: S1. Through the multi-dimensional information collection and modeling unit, the geospatial, architectural and intangible cultural information of the target village and town cultural space is comprehensively collected and digitally modeled to generate digital twin base data of village and town culture. S2. Through a lightweight immersive interactive unit, based on the data of the digital twin base of the village and town culture, a virtual cultural information layer is superimposed and presented in the physical cultural space; S3. Through cloud-based collaborative creation and dynamic update units, a visualization tool module is provided for village and town residents and cultural institutions. Based on the village and town cultural digital twin base data and the virtual cultural information layer, collaborative content editing and spatial reshaping are carried out to generate dynamically updated cultural data. S4. Through the intelligent navigation and dissemination empowerment unit, based on user behavior data, location data, the digital twin base data of the village and town culture, the virtual cultural information layer, and the dynamically updated cultural data, personalized cultural path recommendations are made, and cultural dissemination products are generated and output across platforms.

2. The digital design method for village and town cultural spaces according to claim 1, characterized in that, In step S1, the multi-dimensional information collection and modeling unit comprehensively collects and digitally models the geographic space, architectural form, and intangible cultural information of the target village and town cultural space to generate digital twin base data for village and town culture, including the following steps: S11. Using oblique photogrammetry, images of the geographical environment and architectural appearance of the target village and town cultural space are acquired and three-dimensionally reconstructed to generate three-dimensional model data of the geographical space and architectural appearance. S12. Using three-dimensional laser scanning technology, perform high-precision scanning and modeling of the internal structure and detailed features of key buildings and structures in the target village and town cultural space, and generate three-dimensional model data of building details. S13. Through the digital input method of humanistic elements, collect, organize and structure the intangible cultural information related to the historical evolution, folk activities, oral traditions and traditional skills of the target village and town cultural space, and generate intangible cultural information data. S14. The geographic space and building exterior three-dimensional model data, the building detail three-dimensional model data and the intangible cultural information data are fused and processed to construct the digital twin base data of the village and town culture; The quality of data fusion is evaluated using the following formula: ; in, To integrate quality indices, For the integrity of geospatial data, To ensure the accuracy of building form data, To enrich the information content of intangible cultural heritage, , , These are the corresponding weight coefficients, and they satisfy... .

3. The digital design method for village and town cultural spaces according to claim 1, characterized in that, Step S2, which uses a lightweight immersive interactive unit to overlay and present a virtual cultural information layer in the physical cultural space based on the digital twin data of the village and town culture, includes the following steps: S21. Call the geospatial and architectural appearance 3D model data and architectural detail 3D model data in the digital twin base data of the village and town culture as the basis for spatial positioning and registration of virtual and real integration; S22. Call the intangible cultural information data in the digital twin base data of the village and town culture, and transform it into interactive virtual cultural information elements; S23. Using augmented reality (AR) and mixed reality (MR) technologies, the interactive virtual cultural information elements are registered and overlaid with the physical cultural space in real time to form the virtual cultural information layer. S24. Through mobile terminals and wearable devices, an enhanced scene with the virtual cultural information layer superimposed is presented to the user in the physical cultural space, and the user is supported to interact with the cultural elements in the virtual cultural information layer.

4. The digital design method for village and town cultural spaces according to claim 1, characterized in that, In step S3, the cloud-based collaborative creation and dynamic update unit provides a visualization tool module for village residents and cultural institutions. Based on the village cultural digital twin base data and the virtual cultural information layer, collaborative content editing and spatial reshaping are performed to generate dynamically updated cultural data, including the following steps: S31. Deploy the visualization tool module in the cloud, the visualization tool module providing functions such as 3D model editing, multimedia content mounting, and narrative path arrangement; S32. Authorize the villagers and cultural institutions to access the cloud-based collaborative creation and dynamic update unit through terminal devices, and use the visualization tool module to edit, annotate, supplement and reconstruct the data of the digital twin base of village culture and the content in the virtual cultural information layer. S33. Save the edited, annotated, supplemented and reconstructed content as the dynamically updated cultural data, and synchronously update the dynamically updated cultural data to the village and town cultural digital twin base data and the virtual cultural information layer.

5. The digital design method for village and town cultural spaces according to claim 1, characterized in that, In step S4, the intelligent navigation and dissemination empowerment unit, based on user behavior data, location data, the digital twin base data of the village and town culture, the virtual cultural information layer, and the dynamically updated cultural data, performs personalized cultural path recommendations and generates and outputs cultural dissemination products across platforms, including the following steps: S41. Based on the user behavior data and the location data, analyze the user's interests and real-time location in the cultural space; S42. Combining the village and town cultural digital twin base data, the virtual cultural information layer, and the dynamically updated cultural data, generate personalized cultural experience path suggestions for users with different interests and real-time locations, namely, the personalized cultural path recommendation; S43. Through a cross-platform content generation engine, the data of the digital twin base of village and town culture, the virtual cultural information layer, the dynamically updated cultural data, and the personalized cultural path recommendation are automatically transformed into cultural dissemination products that are adapted to different media forms. S44. The cultural dissemination products are output and disseminated through internet platforms, mobile applications, and on-site guided tour equipment.

6. The digital design method for village and town cultural spaces according to claim 3, characterized in that, In step S24, the specific operational steps for implementing the scenario-based narrative and interactive experience are as follows: S241. Based on the historical events, stories of people and folk customs in the intangible cultural heritage information data, design a narrative script with a timeline and logical relationship; S242. Decompose the narrative script into a series of continuous virtual scene nodes, and bind each virtual scene node to a specific geographical location and architectural object in the physical cultural space; S243. When a user arrives at the bound geographical location and identifies the bound building object through a mobile terminal and wearable device, the corresponding virtual scene node content is triggered and presented. S244. Set up interactive elements in the virtual scene nodes. The interactive elements include knowledge Q&A, virtual object operation, plot selection, and determine the narrative branch and unlock subsequent scene nodes based on user interaction feedback.

7. The digital design method for village and town cultural spaces according to claim 4, characterized in that, In step S32, the specific structure and functions of the visualization tool module include: S321, a lightweight 3D model editing tool, enables simplification, cropping, and texture replacement operations on 3D models generated by oblique photogrammetry and laser scanning models; S322, Multimedia content association tool, which enables the association of multimedia files such as images, audio, video, and text to specific three-dimensional models and spatial coordinate points in the digital twin base data of the village and town culture; S323, Narrative Path Arrangement Tool, provides a graphical interface that allows users to drag and drop virtual scene nodes and set trigger conditions and connecting lines; S324, Access Control and Version Control Tools, assign differentiated content editing and review permissions to village and town residents and cultural institutions with different identities, and save the editing history.

8. The digital design method for village and town cultural spaces according to claim 5, characterized in that, In step S43, the cross-platform content generation engine performs the following operations: S431. Receive a content generation request, wherein the request specifies the target media platform type; S432. Based on the preset content format specifications, resolution requirements, and interactive characteristics of the target media platform type, extract suitable content materials from the village and town cultural digital twin base data, the virtual cultural information layer, the dynamically updated cultural data, and the personalized cultural path recommendation. S433. The extracted content materials are automatically synthesized, rendered and packaged according to the specifications of the target media platform type. The generated cultural communication products include, but are not limited to: short videos and panoramic images for social media platforms, interactive 3D models for website display, and augmented reality (AR) recognition maps and overlay information for on-site tours.

9. The digital design method for village and town cultural spaces according to claim 1, characterized in that, The method further includes step S5: S5. Through data fusion and system closed-loop management unit, the data of the digital twin base of village and town culture, the virtual cultural information layer, the dynamically updated cultural data, user interaction data and the dissemination effect data of cultural dissemination products are gathered, analyzed and visualized to form a complete closed-loop management view from digital protection of cultural resources, immersive experience, public collaborative creation to intelligent dissemination feedback, to assist in cultural heritage protection decision-making and digital design optimization. The expected user satisfaction value for personalized cultural path recommendations is calculated using the following formula: ; in, The user's expected satisfaction with the recommended path. This refers to the number of cultural sites and experiences included in the recommended route. For the i-th cultural point, the interest matching degree is predicted based on the user's historical behavior. This is the experience smoothness coefficient of this cultural point in the current path planning.

10. The digital design method for village and town cultural spaces according to claim 9, characterized in that, The specific steps for forming the closed-loop management view in step S5 are as follows: S51. Data aggregation: Continuously collect and store full-process data generated by the multi-dimensional information collection and modeling unit, the lightweight immersive interaction unit, the cloud-based collaborative creation and dynamic update unit, and the intelligent navigation and dissemination empowerment unit; S52. Data Analysis: Utilize data analysis techniques to process the collected data and analyze key indicators such as the digital integrity of cultural resources, hotspots of user interaction, resident participation, and audience feedback on disseminated products. S53. Visual presentation: The key indicators obtained from the analysis are visualized through management cockpit charts, 3D heat maps, and data dashboards to form the complete closed-loop management view; S54. Decision Support: Based on the complete closed-loop management view, cultural managers evaluate the effectiveness of digital design, identify weaknesses, and formulate subsequent plans for key cultural resource acquisition, optimization of experience content, and adjustment of dissemination strategies.

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