Immersive culture propaganda system based on AR technology

Abstract

The invention belongs to the technical field of culture propaganda and display, and particularly relates to an immersive culture propaganda system based on an AR technology. Comprising a characteristic culture resource library module, a user portrait analysis module, a culture deep hierarchical analysis module, an immersive narrative engine module, an autonomous exploration interaction module, a dynamic content generation module, a multi-sensory experience enhancement module and a feedback optimization module. Each module takes a characteristic culture resource library as a content basis, takes a user portrait analysis module as a demand guide, realizes content adaptation through a culture deep layering analysis module, and creates an interesting and autonomous experience form by means of an immersive narrative engine, autonomous exploration interaction and multi-sensory experience enhancement module. The content freshness feeling is kept by means of the dynamic content generation module, finally, full-link closed-loop iteration is formed through the feedback optimization module, content supply, demand matching and experience presentation are changed into continuous optimization, and the problems that propaganda culture contents are similar and poor in interestingness are systematically solved.

Description

TECHNICAL FIELD

[0001] The present application relates to the technical field of cultural propaganda display, in particular to an immersive cultural propaganda system based on AR technology. BACKGROUND

[0002] Cultural propaganda display refers to the propaganda display of documents or scripts formed by words and sentences. Cultural propaganda display has various forms, such as traditional paper books, letters and other physical propaganda media, electronic propaganda media such as movies and TV series, and paperless web page propaganda media. The cultural propaganda display system is a web page propaganda media mode, which is a new cultural propaganda mode based on the Internet, servers and user terminals.

[0003] However, the existing cultural propaganda system still has the following technical problems:

[0004] Most AR tourism projects have similar content, lack of characteristics and cultural depth, and are difficult to meet individual needs, resulting in short user interest duration; the content is too professional and obscure, lacks interest and narrative, and is difficult to attract ordinary audiences, resulting in tourists thinking that the self-exploration pleasure is weakened.

[0005] Therefore, the present application provides an immersive cultural propaganda system based on AR technology to solve the above-mentioned problems. SUMMARY

[0006] The purpose of the present application is to provide an immersive cultural propaganda system based on AR technology to solve the problems mentioned in the background.

[0007] To achieve the above-mentioned purpose, the present application provides the following technical scheme: an immersive cultural propaganda system based on AR technology, comprising a characteristic cultural resource library module, a user portrait analysis module, a cultural depth hierarchical analysis module, an immersive narrative engine module, a self-exploration interaction module, a dynamic content generation module, a multi-sensory experience enhancement module and a feedback optimization module.

[0008] The characteristic cultural resource library module constructs a dedicated resource library according to regional characteristics, cultural types and historical context, and collects differentiated cultural content, matches multi-dimensional material packages for each cultural resource, avoids repetition of content in different scenes, and ensures that each project has a dedicated cultural tag.

[0009] The user portrait analysis module constructs a dynamic user portrait through user registration information and real-time interaction behavior, and divides user types.

[0010] The cultural depth hierarchical analysis module sets up a three-layer interpretation system for each cultural knowledge point, supports users to freely switch interpretation levels, and defaults to display entry-level content to avoid accumulation of professional terms.

[0011] The immersive narrative engine module connects cultural content with the main story, branch plot, and interactive plot nodes, and guides with virtual characters;

[0012] The autonomous exploration interaction module designs dual modes of free roaming and exploration tasks, and supports multi-modal interaction;

[0013] The dynamic content generation module generates personalized content in real time based on AI, and adjusts the content based on real-time scene data;

[0014] The multi-sensory experience enhancement module integrates auditory and tactile experiences, and adapts to the environment;

[0015] The feedback optimization module collects user behavior data, regularly analyzes content weaknesses, and iteratively optimizes the resource library and narrative engine to continuously improve content.

[0016] Preferably, the characteristic cultural resource library module includes a resource classification filing unit, a high-fidelity material collection unit, a multi-dimensional material package construction unit, and a resource update and maintenance unit;

[0017] The resource classification filing unit establishes a classification system by region, culture type, and historical context, assigns each cultural resource a unique identifier and label, and enables precise retrieval;

[0018] The high-fidelity material collection unit collects high-precision cultural materials through 3D scanning, 4K image shooting, oral history recording, and literature digitization, ensuring content fidelity;

[0019] The multi-dimensional material package construction unit integrates basic information, expanded content, and interactive materials for individual cultural resources, such as a piece of blue and white porcelain, which includes basic parameters, historical background, and interactive models;

[0020] The resource update and maintenance unit regularly supplements newly discovered cultural resources, eliminates outdated content, synchronously repairs damaged materials, and ensures the timeliness and completeness of the resource library.

[0021] Preferably, the user portrait analysis module includes a user data collection unit, a portrait modeling unit, a user type labeling unit, and a portrait dynamic updating unit;

[0022] The user data collection unit collects user registration information, real-time interaction behavior, and device feedback, and supports anonymized collection to protect privacy;

[0023] The portrait modeling unit converts collected data into user feature dimensions based on machine learning algorithms to construct a three-dimensional portrait of the user;

[0024] The user type labeling unit divides users into children, youth, middle-aged and elderly, and professional researchers, and assigns standardized labels;

[0025] The dynamic profile update unit captures changes in user behavior in real time, iteratively updates profile features, and avoids the solidification of tags.

[0026] Preferably, the cultural depth layered analysis module includes a knowledge point decomposition unit, a layered content compilation unit, an interpretation level switching unit, and a popularization conversion unit;

[0027] The knowledge point decomposition unit breaks down complex cultural content into basic knowledge points, related knowledge points, and extended knowledge points, forming a knowledge point network.

[0028] The tiered content compilation unit compiles introductory, intermediate, and professional levels of content for each knowledge point.

[0029] The layer switching unit provides a one-click switching function, allowing users to jump freely between different layers, while recording the user's preferred layer and pushing corresponding content by default;

[0030] The popularization section transforms technical terms and academic concepts into easy-to-understand expressions, using analogies and case studies to aid comprehension and avoid obscurity.

[0031] Preferably, the immersive narrative engine module includes a narrative architecture design unit, a branch plot triggering unit, a virtual character AI driving unit, and a plot progress management unit;

[0032] The narrative structure design unit constructs a narrative framework of main story and branch plots. The main story revolves around the core cultural theme, while the branch plots correspond to different perspectives, ensuring that the narrative logic is complete and consistent with cultural history.

[0033] The branch storyline trigger unit sets the conditions for triggering the storyline. For example, if the user touches the pawnshop scene in the ancient city, it will trigger a branch storyline of the ancient pawning process from the perspective of the merchant and unlock exclusive content.

[0034] The virtual character AI-driven unit configures an AI dialogue model for the virtual narrator, supports natural language interaction, and adjusts the character's behavior according to the progress of the plot;

[0035] The story progress management unit records the user's story progression status, supports resuming gameplay from where it left off, and also tracks story completion and unlocks hidden content.

[0036] Preferably, the autonomous exploration interaction module includes a free roaming control unit, an exploration task design unit, a multimodal interaction response unit, and a user tag management unit;

[0037] The free roaming control unit enables unrestricted roaming within AR scenes, allowing users to adjust their viewing angle through gestures and head tracking, and to zoom in and out of AR objects, ensuring smooth and lag-free roaming.

[0038] The task design unit designs cultural treasure hunt, puzzle solving, and clue collection tasks, such as finding three intangible cultural heritage points hidden in an ancient city and piecing together an intangible cultural heritage map. The difficulty level of the tasks is layered.

[0039] The multi-modal interaction response unit supports voice interaction, gesture operation, and touch screen interaction, and accurately analyzes and responds to interaction instructions.

[0040] The user tagging management unit allows users to tag interesting content in the AR scene, generate personal cultural notes, and support export and sharing, enhancing the sense of achievement of autonomous exploration.

[0041] Preferably, the dynamic content generation module includes a user interest analysis unit, an AI content generation unit, a scene data fusion unit, and a content push optimization unit.

[0042] The user interest analysis unit analyzes user interaction data through algorithms, extracts core interest points, and forms an interest weight matrix.

[0043] The AI content generation unit generates extended content in real time based on large language models and 3D generation algorithms, such as automatically generating different dynasty dragon pattern evolution comparison animations and application cases of the same pattern on other cultural relics for user interest blue and white porcelain patterns.

[0044] The scene data fusion unit interfaces real-time scene data and adjusts content output, such as generating ancient Mid-Autumn Festival moon viewing customs and AR displays of museum collections of moon palace pattern artifacts during the Mid-Autumn Festival, and pushing folk New Year paintings during the Spring Festival.

[0045] The content push optimization unit adjusts the push strategy based on user behavior feedback to optimize content reach effect.

[0046] Preferably, the multi-sensory experience enhancement module includes a hearing experience rendering unit, a tactile feedback simulation unit, an environment atmosphere adaptation unit, and a multi-sensory synchronous coordination unit.

[0047] The hearing experience rendering unit matches exclusive sound effects for AR scenes, generates directional sound effects for cultural relics and intangible cultural heritage content, and realizes synchronous hearing and vision.

[0048] The tactile feedback simulation unit simulates the touch of different cultural carriers through matching tactile gloves and simulates resistance feedback during intangible cultural skill simulation operation.

[0049] The environment atmosphere adaptation unit adjusts AR light and shadow effects and color tones based on cultural scenes to restore the real atmosphere of the scene.

[0050] The multi-sensory synchronous coordination unit ensures the synchronicity of visual, auditory, and tactile experiences, avoiding sensory dislocation and destroying the sense of immersion.

[0051] Preferably, the feedback optimization module comprises a user behavior monitoring unit, a content effect analysis unit, a resource library iteration unit and a narrative engine optimization unit;

[0052] The user behavior monitoring unit collects user whole-process behavior data in real time, including content click volume, stay duration, interpretation level switching frequency, task completion rate, interaction mode preference and satisfaction score;

[0053] The content effect analysis unit analyzes content short boards through data modeling, for example, the stay duration of certain non-heritage content is only 10 seconds, the click volume of professional level content by children users is less than 5%, and the positioning problem type;

[0054] The resource library iteration unit optimizes the resource library content according to the effect analysis result, for example, supplementing certain non-heritage introductory story content, updating 3D interactive models of low click rate cultural relics, and increasing cultural branch materials of interest to users;

[0055] The narrative engine optimization unit adjusts the narrative architecture and optimizes the virtual character interaction logic to improve the narrative experience.

[0056] Compared with the prior art, the present application has the following advantages:

[0057] The system comprises a characteristic cultural resource library module, a user portrait analysis module, a cultural depth layering analysis module, an immersive narrative engine module, an autonomous exploration interaction module, a dynamic content generation module, a multi-sensory experience enhancement module and a feedback optimization module;

[0058] Each module takes the characteristic cultural resource library as the content basis and takes the user portrait analysis module as the demand guide, realizes content adaptation through the cultural depth layering analysis module, creates an interesting and autonomous experience form with the help of the immersive narrative engine, the autonomous exploration interaction and the multi-sensory experience enhancement module, relies on the dynamic content generation module to maintain the freshness of the content, and finally forms a full-link closed-loop iteration through the feedback optimization module, from content supply, demand matching, experience presentation to continuous optimization, systematically solves the problem of similar cultural content and poor interest in propaganda. BRIEF DESCRIPTION OF DRAWINGS

[0059] Figure 1 The figure is a module composition diagram of the present application;

[0060] Figure 2 The figure is a unit composition diagram of the characteristic cultural resource library module;

[0061] Figure 3 The figure is a unit composition diagram of the user portrait analysis module;

[0062] Figure 4 The figure is a unit composition diagram of the cultural depth layering analysis module;

[0063] Figure 5 Unit composition diagram for the immersive narrative engine module;

[0064] Figure 6 Unit composition diagram for the autonomous exploration interaction module;

[0065] Figure 7 Unit composition diagram for the dynamic content generation module;

[0066] Figure 8 Unit composition diagram for the multi-sensory experience enhancement module;

[0067] Figure 9 Unit composition diagram for the feedback optimization module. DETAILED DESCRIPTION

[0068] The technical solutions in the embodiments of the present application will be clearly and completely described below with reference to the drawings in the embodiments of the present application. Obviously, the described embodiments are only part of the embodiments of the present application, rather than all the embodiments. Based on the embodiments in the present application, all other embodiments obtained by a person of ordinary skill in the art without creative labor fall within the scope of protection of the present application.

[0069] Embodiment:

[0070] Please refer to Figures 1-9 The present application provides a technical solution:

[0071] An immersive cultural propaganda system based on AR technology, comprising a characteristic cultural resource library module, a user portrait analysis module, a cultural depth hierarchical analysis module, an immersive narrative engine module, an autonomous exploration interaction module, a dynamic content generation module, a multi-sensory experience enhancement module, and a feedback optimization module;

[0072] The characteristic cultural resource library module constructs a dedicated resource library according to regional characteristics, cultural types, and historical contexts, and collects differentiated cultural content, matches multi-dimensional material packages for each cultural resource, avoids repetition of content in different scenarios, and ensures that each project has a dedicated cultural tag;

[0073] The user portrait analysis module constructs a dynamic user portrait based on user registration information and real-time interaction behavior, and divides user types;

[0074] The cultural depth hierarchical analysis module sets up a three-layer interpretation system for each cultural knowledge point, supports users to freely switch interpretation levels, and defaults to display entry-level content to avoid accumulation of professional terms;

[0075] The immersive narrative engine module links cultural content with mainline stories and branch plots, integrates interactive plot nodes, and matches virtual character guides;

[0076] Autonomous exploration interaction module designs dual modes of free roaming and exploration tasks, supporting multi-modal interaction;

[0077] Dynamic content generation module generates personalized content in real time based on AI, and adjusts content in real time combined with scene data;

[0078] Multi-sensory experience enhancement module integrates auditory and tactile experiences, and adapts to the environment;

[0079] Feedback optimization module collects user behavior data, regularly analyzes content weaknesses, and iteratively optimizes the resource library and narrative engine to continuously improve content.

[0080] The characteristic cultural resource library module includes resource classification filing unit, high-fidelity material collection unit, multi-dimensional material package construction unit, and resource update and maintenance unit;

[0081] The resource classification filing unit classifies and files resources by region, such as Northwest Dunhuang culture and Jiangnan water town culture; by cultural type, such as cultural relics, intangible cultural heritage, folk customs, and historical events; by historical context, such as dynasties and cultural development stages; and establishes a classification system to assign each cultural resource a unique identifier and label, such as Tang Dynasty-Tang Sancai-Burial Culture, to enable precise retrieval;

[0082] The high-fidelity material collection unit collects high-precision cultural materials through 3D scanning (cultural relic modeling), 4K image shooting (folk activity), oral history recording (intangible cultural heritage inheritor narration), and document digitization (ancient books and archaeological reports) to ensure content restoration;

[0083] The multi-dimensional material package construction unit integrates basic information, expanded content, and interactive materials for individual cultural resources, such as a piece of blue and white porcelain, which includes cultural relic basic parameters (era, technology), historical background (firing kiln, usage scenario), and interactive models (dismantlable vessel structure, pattern evolution animation);

[0084] The resource update and maintenance unit regularly supplements newly discovered cultural resources (such as archaeological discoveries), eliminates outdated content, and synchronously repairs damaged materials, such as blurred images and broken 3D models, to ensure the timeliness and completeness of the resource library.

[0085] The user portrait analysis module includes user data collection unit, portrait modeling unit, user type labeling unit, and portrait dynamic updating unit;

[0086] The user data collection unit collects user registration information, including age, occupation, and cultural interest tags; real-time interaction behavior, such as content type clicks, dwell time, interpretation level selection, and task completion; and device feedback (operation habits, preferred interaction methods), supporting anonymized collection to protect privacy;

[0087] The user profile modeling unit uses machine learning algorithms to transform collected data into user feature dimensions and build a three-dimensional user profile.

[0088] The user type tagging unit divides users into children (cartoonish and gamified needs), youth (trendy interactive and lightweight content needs), middle-aged and elderly (in-depth historical facts and slow-paced experience needs), and professional researchers (academic details and literature needs), and assigns them standardized tags;

[0089] The dynamic profile update unit captures changes in user behavior in real time. For example, if a user gradually shifts from beginner to professional level content, the profile features are updated iteratively to avoid the solidification of tags.

[0090] The cultural depth layered analysis module includes a knowledge point decomposition unit, a layered content compilation unit, an interpretation level switching unit, and a popularization conversion unit;

[0091] The knowledge point decomposition unit breaks down complex cultural content into basic knowledge points, such as the color composition of Tang Sancai; related knowledge points, such as the relationship between Tang Sancai and the Silk Road; and extended knowledge points, such as the overseas spread of Tang Sancai, forming a knowledge point network.

[0092] The tiered content compilation unit is designed for each knowledge point, with the following levels: introductory level, storytelling and animation-based content, such as the blue color of the Tang Sancai horse coming from Persian pigments; intermediate level, logical interpretation, such as the glaze formula and firing temperature of Tang Sancai; and professional level, academic content, such as archaeological data from Tang Sancai kiln sites and analysis of technological evolution.

[0093] The layer switching unit provides a one-click switching function, allowing users to jump freely between different layers. It also records the user's preferred layer and pushes appropriate content by default, such as showing the introductory layer to children by default.

[0094] The popularization section transforms technical terms and academic concepts into easy-to-understand expressions. For example, the process of washing kaolin clay is explained as the clay used to make porcelain needs to be washed repeatedly to remove impurities and achieve a fine texture. Analogies and case studies are used to aid understanding and avoid obscurity.

[0095] The immersive narrative engine module includes a narrative architecture design unit, a branching plot triggering unit, a virtual character AI driving unit, and a plot progress management unit;

[0096] The narrative structure design unit constructs a narrative framework of main story and branch plots. The main story revolves around the core cultural theme, such as the thousand-year history of commerce in the ancient city. The branch plots correspond to different perspectives (literati, merchants, and artisans), ensuring that the narrative logic is complete and consistent with cultural and historical facts.

[0097] The branch plot triggering unit sets plot triggering conditions, such as user clicking on a certain type of cultural relics or completing a specific interactive operation, for example, the user touching the pawn shop scene in the ancient city triggers the branch plot of the ancient pawn process from the perspective of the merchant, unlocking exclusive content;

[0098] The virtual character AI driving unit configures AI dialogue models for virtual tour guides, supports natural language interaction, and adjusts character behavior according to plot progress;

[0099] The plot progress management unit records the user's plot progress state, supports breakpoint continuation, such as the user leaving in the middle, and returning to the last plot node when re-entering, while also counting the plot completion degree and unlocking hidden content, such as completing 100% of the plot to unlock the AR sand table of the ancient city.

[0100] The autonomous exploration interaction module includes a free roaming control unit, an exploration task design unit, a multi-modal interaction response unit, and a user marker management unit;

[0101] The free roaming control unit enables unrestricted roaming within the AR scene, allowing users to adjust their viewing angle through gestures (swiping, rotating), head tracking (turning to switch perspectives), and zooming in and out of AR objects, such as closely examining cultural relic patterns, ensuring smooth and uninterrupted roaming;

[0102] The exploration task design unit designs cultural treasure hunting, puzzle solving, and clue collecting tasks, such as finding three intangible cultural heritage points in the ancient city to complete the intangible cultural heritage map, with difficulty levels;

[0103] The multi-modal interaction response unit supports voice interaction, gesture operation, and touch screen interaction, and accurately analyzes and responds to interaction commands;

[0104] The user marker management unit allows users to mark interesting content in the AR scene, such as collecting certain cultural relics or annotating historical stories, generating personal cultural notes, supporting export and sharing, and strengthening the sense of achievement of autonomous exploration.

[0105] The dynamic content generation module includes a user interest analysis unit, an AI content generation unit, a scene data fusion unit, and a content push optimization unit;

[0106] The user interest analysis unit analyzes user interaction data through algorithms, extracts core interest points, and forms an interest weight matrix;

[0107] The AI content generation unit generates extended content in real time based on large language models and 3D generation algorithms, such as automatically generating animations comparing the evolution of dragon patterns in different dynasties or applying the same patterns to other cultural relics based on user interest in blue and white porcelain patterns;

[0108] The scene data fusion unit interfaces real-time scene data, such as holidays, seasons, and venue passenger flow, adjusts content output, for example, generates ancient Mid-Autumn Festival moon appreciation customs and AR display of cultural relics with moon palace patterns during the Mid-Autumn Festival, and pushes folk New Year pictures interactive experience during the Spring Festival;

[0109] The content push optimization unit adjusts the push strategy according to user behavior feedback, such as insufficient stay time of certain type of generated content, such as reducing long texts and increasing animation demonstrations, to optimize content reach effect.

[0110] The multi-sensory experience enhancement module includes an auditory experience rendering unit, a tactile feedback simulation unit, an environment atmosphere adaptation unit, and a multi-sensory synchronization coordination unit;

[0111] The auditory experience rendering unit matches exclusive sound effects for AR scenes, such as classical musical instruments for ancient architecture scenes and bustling sounds for market scenes, generates directional sound effects for cultural relics and intangible cultural heritage content, such as simulated sound of ancient bells and sound of scissors opening and closing for paper-cutting techniques, to achieve synchronization of hearing and vision;

[0112] The tactile feedback simulation unit simulates the touch of different cultural carriers through matching tactile gloves (or vibration feedback handles), such as the smoothness of silk, the coolness of bronze, and the roughness of wood carving, and simulates the resistance feedback during operation of intangible cultural heritage techniques (such as pottery throwing);

[0113] The environment atmosphere adaptation unit adjusts AR light and shadow effects according to cultural scenes, such as soft cold light for tomb cultural relics scenes and natural light simulation for cave murals scenes; color tones, such as warm tones for Tang Dynasty scenes and simple and elegant tones for Song Dynasty scenes, to restore the real atmosphere of the scene;

[0114] The multi-sensory synchronization coordination unit ensures the synchronization of visual, auditory, and tactile experiences, such as triggering corresponding sound effects and tactile feedback when the user touches the AR cultural relics, to avoid sensory dislocation and destroy the sense of immersion.

[0115] The feedback optimization module includes a user behavior monitoring unit, a content effect analysis unit, a resource library iteration unit, and a narrative engine optimization unit;

[0116] The user behavior monitoring unit collects user behavior data in real time, including content click volume, stay time, interpretation level switching frequency, task completion rate, interaction preference, satisfaction score, and whether the user likes the current content form;

[0117] The content effect analysis unit analyzes the content shortcomings through data modeling, such as stay time of certain type of intangible cultural heritage content being only 10 seconds (lower than the average of 30 seconds) and children users clicking less than 5% of professional level content, identifies problem types, such as obscure content, poor interactivity, and single form;

[0118] The resource library iteration unit optimizes the resource library content according to the effect analysis result, for example, supplementing the entry-level story content of a certain type of intangible cultural heritage, updating the 3D interactive model of a low-click-rate cultural relic, and increasing the cultural branch material of interest to the user;

[0119] The narrative engine optimization unit adjusts the narrative architecture (such as shortening a certain type of long plot, increasing a high-popularity branch plot), optimizes the virtual character interaction logic (such as improving the voice recognition accuracy, increasing the question-and-answer content closer to the user, and improving the narrative experience.

[0120] The above shows and describes the basic principles and main features of the present application and the advantages of the present application. It is obvious for those skilled in the art that the present application is not limited to the details of the above exemplary embodiments, and the present application can be implemented in other specific forms without departing from the spirit or essential characteristics of the present application. Therefore, from any point of view, the embodiments should be regarded as exemplary and non-limiting, and the scope of the present application is defined by the appended claims rather than the above description, and therefore all changes falling within the meaning and scope of the equivalent elements of the claims are intended to be included in the present application, and any reference signs in the claims should not be regarded as limiting the claims.

[0121] Although embodiments of the present application 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 present application, and the scope of the present application is defined by the appended claims and their equivalents.

Claims

1. An AR technology-based immersive culture propaganda system, characterized in that, It includes modules for a distinctive cultural resource database, user profile analysis, in-depth cultural layering analysis, an immersive narrative engine, autonomous exploration and interaction, dynamic content generation, multi-sensory experience enhancement, and feedback optimization. The Featured Cultural Resource Library module is categorized by regional characteristics, cultural type, and historical context to build exclusive resource libraries, collect differentiated cultural content, and match each cultural resource with a multi-dimensional material package to avoid content duplication in different scenarios and ensure that each project has a unique cultural label; The user profiling analysis module constructs dynamic user profiles based on user registration information and real-time interaction behavior, and classifies user types. The cultural depth layered analysis module sets up a three-layer interpretation system for each cultural knowledge point, allowing users to freely switch between interpretation levels. The default is to display the introductory level content to avoid piling up professional terms. The immersive narrative engine module connects cultural content with the main storyline and branching plots, integrates interactive plot nodes, and is guided by virtual characters; The autonomous exploration interaction module is designed with two modes: free roaming and exploration tasks, supporting multimodal interaction; The dynamic content generation module generates personalized content in real time based on AI and adjusts the content in conjunction with real-time scene data. The multi-sensory experience enhancement module integrates auditory and tactile experiences and adapts to the environmental atmosphere; The feedback optimization module collects user behavior data, regularly analyzes content shortcomings, and reverse-engineers the resource library and narrative engine to continuously iterate on content formats.

2. The immersive cultural promotion system based on AR technology according to claim 1, characterized in that: The featured cultural resource database module includes a resource classification and filing unit, a high-fidelity material collection unit, a multi-dimensional material package construction unit, and a resource update and maintenance unit. The resource classification and filing unit establishes a classification system based on region, cultural type, and historical context, assigning a unique identifier and label to each cultural resource to achieve accurate retrieval; The high-fidelity material acquisition unit collects high-precision cultural materials through 3D scanning, 4K video shooting, oral history recording, and document digitization to ensure the accuracy of content reproduction. The multi-dimensional material package is a unit that integrates basic information, extended content and interactive materials for a single cultural resource. For example, for a piece of blue and white porcelain, the material package includes basic parameters of the cultural relic, historical background and interactive model. The resource update and maintenance unit regularly replenishes newly discovered cultural resources, eliminates outdated content, and repairs damaged materials to ensure the timeliness and completeness of the resource database.

3. The immersive cultural promotion system based on AR technology according to claim 1, characterized in that: The user profile analysis module includes a user data collection unit, a profile modeling unit, a user type tagging unit, and a profile dynamic update unit. The user data collection unit collects user registration information, real-time interactive behavior, and device feedback, and supports anonymized collection to protect privacy. The user profile modeling unit uses machine learning algorithms to transform collected data into user feature dimensions and build a three-dimensional user profile. The user type tagging unit categorizes users into children, youth, middle-aged and elderly, and professional researchers, assigning them standardized tags. The dynamic profile update unit captures changes in user behavior in real time, iteratively updates profile features, and avoids the solidification of tags.

4. The immersive cultural promotion system based on AR technology according to claim 1, characterized in that: The cultural depth layered analysis module includes a knowledge point decomposition unit, a layered content compilation unit, an interpretation level switching unit, and a popularization conversion unit; The knowledge point decomposition unit breaks down complex cultural content into basic knowledge points, related knowledge points, and extended knowledge points, forming a knowledge point network. The tiered content compilation unit compiles introductory, intermediate, and professional levels of content for each knowledge point. The layer switching unit provides a one-click switching function, allowing users to jump freely between different layers, while recording the user's preferred layer and pushing corresponding content by default; The popularization section transforms technical terms and academic concepts into easy-to-understand expressions, using analogies and case studies to aid comprehension and avoid obscurity.

5. The immersive cultural promotion system based on AR technology according to claim 1, characterized in that: The immersive narrative engine module includes a narrative architecture design unit, a branch plot triggering unit, a virtual character AI driving unit, and a plot progress management unit; The narrative structure design unit constructs a narrative framework of main story and branch plots. The main story revolves around the core cultural theme, while the branch plots correspond to different perspectives, ensuring that the narrative logic is complete and consistent with cultural history. The branch storyline trigger unit sets the conditions for triggering the storyline. For example, if the user touches the pawnshop scene in the ancient city, it will trigger a branch storyline of the ancient pawning process from the perspective of the merchant and unlock exclusive content. The virtual character AI-driven unit configures an AI dialogue model for the virtual narrator, supports natural language interaction, and adjusts the character's behavior according to the progress of the plot; The story progress management unit records the user's story progression status, supports resuming gameplay from where it left off, and also tracks story completion and unlocks hidden content.

6. The immersive cultural promotion system based on AR technology according to claim 1, characterized in that: The autonomous exploration interaction module includes a free roaming control unit, an exploration task design unit, a multimodal interaction response unit, and a user tag management unit; The free roaming control unit enables unrestricted roaming within AR scenes, allowing users to adjust their viewing angle through gestures and head tracking, and to zoom in and out of AR objects, ensuring smooth and lag-free roaming. The exploration task design unit includes cultural treasure hunts, puzzle solving, and clue collection tasks, such as finding three hidden intangible cultural heritage skill locations in the ancient city and piecing together a complete intangible cultural heritage map. The task difficulty is layered. The multimodal interactive response unit supports voice interaction, gesture operation, and touch screen interaction, and accurately parses and responds to interactive commands; The user tagging management unit allows users to tag content of interest in AR scenes, generate personal cultural notes, and support exporting and sharing, enhancing the sense of accomplishment from independent exploration.

7. The immersive cultural promotion system based on AR technology according to claim 1, characterized in that: The dynamic content generation module includes a user interest analysis unit, an AI content generation unit, a scene data fusion unit, and a content push optimization unit. The user interest analysis unit analyzes user interaction data through algorithms, extracts core interest points, and forms an interest weight matrix. The AI ​​content generation unit, based on a large language model and 3D generation algorithm, generates extended content in real time. For example, based on the user's interest in blue and white porcelain patterns, it automatically generates animations comparing the evolution of dragon patterns in different dynasties and application cases of the same patterns on other cultural relics. The scene data fusion unit connects to real-time scene data and adjusts the content output. For example, during the Mid-Autumn Festival, it generates ancient Mid-Autumn moon-viewing customs and AR displays of museum collections of moon palace patterned cultural relics, and during the Spring Festival, it pushes out interactive experiences of folk New Year paintings. The content push optimization unit adjusts the push strategy based on user behavior feedback to optimize content reach.

8. The immersive cultural promotion system based on AR technology according to claim 1, characterized in that: The multi-sensory experience enhancement module includes an auditory experience rendering unit, a tactile feedback simulation unit, an environmental atmosphere adaptation unit, and a multi-sensory synchronization and coordination unit. The auditory experience rendering unit matches exclusive sound effects to AR scenes and generates directional sound effects for cultural relics and intangible cultural heritage content to achieve synchronization between hearing and vision; The tactile feedback simulation unit uses matching tactile gloves to simulate the tactile sensations of different cultural carriers, providing resistance feedback during the simulation of intangible cultural heritage techniques. The environmental atmosphere adaptation unit adjusts the AR lighting effects and color tone according to the cultural scene to restore the real atmosphere of the scene. The multi-sensory synchronization and coordination unit ensures the synchronization of visual, auditory, and tactile experiences, avoiding sensory misalignment that could disrupt the immersive experience.

9. The immersive cultural promotion system based on AR technology according to claim 1, characterized in that: The feedback optimization module includes a user behavior monitoring unit, a content effect analysis unit, a resource library iteration unit, and a narrative engine optimization unit. The user behavior monitoring unit collects real-time user behavior data throughout the entire process, including content clicks, dwell time, frequency of switching interpretation levels, task completion rate, interaction method preferences, and satisfaction rating. The content effectiveness analysis unit uses data modeling to analyze content shortcomings, such as a certain type of intangible cultural heritage content only being viewed for 10 seconds, or children's clicks on professional content being less than 5%, thus identifying the type of problem. Based on the results of the performance analysis, the resource library iteration unit optimizes the content of the resource library, such as adding introductory-level stories for a certain type of intangible cultural heritage, updating the 3D interactive models of cultural relics with low click-through rates, and adding cultural branch materials that users are interested in. The narrative engine optimization unit adjusts the narrative structure and optimizes the interaction logic of virtual characters to enhance the narrative experience.

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