A smart cultural tourism system

Abstract

This invention belongs to the fields of smart tourism, IoT sensing, big data processing, AI decision-making, and information security. It discloses a smart tourism system comprising a tourist terminal interaction module, a scenic area intelligent sensing network, a tourism data platform, an intelligent decision engine, a scenario-based service execution module, and a security and compliance management module. Each module establishes a two-way data interaction link through an encrypted communication protocol, achieving integrated intelligent control and personalized, precise supply of tourism services across the entire region. This invention, through the tourism data platform, enables unified access, cleaning, fusion, and standardized processing of heterogeneous data from multiple sources, including tourist terminals, sensing devices, and operating systems. It constructs a comprehensive tourism data asset library and tagging system, addressing the pain points of traditional systems where data is scattered and cannot be interconnected. This provides complete data support for intelligent decision-making, precise services, and efficient operation, significantly improving data utilization and decision reliability, and facilitating practical application and operation.

Description

Technical Field

[0001] This invention relates to the fields of smart cultural tourism, Internet of Things sensing, big data processing, artificial intelligence decision-making and information security, and in particular to a smart cultural tourism system. Background Technology

[0002] With the accelerated digital transformation of the cultural and tourism industry, traditional cultural and tourism service systems are gradually upgrading to intelligent systems. However, existing cultural and tourism systems still have many technical shortcomings in practical applications: the problem of data silos is prominent, with data between tourist terminals, sensing devices, and operating platforms unable to be interconnected and integrated, making it difficult to achieve unified governance of data across the entire region; service models are highly homogenized, lacking the ability to provide personalized and precise services based on tourist preferences and real-time location; scenic area operation response is lagging, with visitor flow monitoring and resource scheduling relying on manual intervention, making it impossible to achieve predictive and automated management; data security and privacy protection mechanisms are imperfect, lacking a full-process encryption, access control, and compliance audit system, posing data leakage and compliance risks; the system architecture lacks cloud-edge-device collaboration capabilities, core services are easily interrupted when the network is down, resulting in insufficient stability and continuity; and the interface standardization is low, making it difficult to connect with third-party platforms and government regulatory systems, hindering the realization of data sharing and business collaboration across the entire cultural and tourism region.

[0003] The aforementioned deficiencies result in poor visitor experience, low scenic area operation efficiency, and insufficient safety compliance in the existing cultural and tourism system. They fail to meet the development needs of modern smart cultural and tourism, which are characterized by comprehensiveness, intelligence, personalization, and safety, and are not conducive to practical promotion and application. Summary of the Invention

[0004] One of the objectives of this invention is to provide a smart cultural tourism system.

[0005] To achieve the above objectives, the technical solution adopted by this invention is as follows: a smart cultural tourism system, including a tourist terminal interaction module, a scenic area intelligent sensing network, a cultural tourism data platform, an intelligent decision engine, a scenario-based service execution module, and a security and compliance management module; each module establishes a two-way data interaction link through an encrypted communication protocol to realize integrated intelligent control and personalized precise supply of cultural tourism services across the entire region.

[0006] The tourist terminal interaction module is used to collect basic tourist information, preference data and real-time demand commands, and push personalized service content and real-time scenic area information to tourists.

[0007] The intelligent sensing network of the scenic area is deployed in various areas of the scenic area to collect real-time data on visitor density, environmental parameters, equipment operating status and security monitoring.

[0008] The cultural tourism data platform cleans, integrates, stores, and standardizes multi-source heterogeneous data to build a comprehensive cultural tourism data asset library.

[0009] The intelligent decision engine uses machine learning algorithms to perform in-depth analysis of the data processed by the data platform, and generates passenger flow management strategies, resource scheduling plans and personalized service recommendations.

[0010] The scenario-based service execution module outputs instructions from the intelligent decision engine and coordinates various intelligent devices in the scenic area to perform service operations.

[0011] The security and compliance management module runs through the entire data flow process of each module, realizing data encryption, access control, privacy protection, and compliance auditing.

[0012] Preferred implementation scheme

[0013] The visitor terminal interaction module includes a mobile application submodule, a smart guide submodule, an AR / VR immersive experience submodule, and a multilingual intelligent customer service submodule. The mobile application submodule achieves account interoperability with third-party platforms through the OAuth2.0 protocol, supporting QR code entry, online reservation, electronic payment, and itinerary planning. The smart guide submodule integrates Beidou / GPS dual-mode positioning and UWB high-precision indoor positioning technology, with a positioning accuracy of 0.3-0.5 meters, enabling real-time navigation and route optimization. The AR / VR immersive experience submodule links with the scenic area's digital twin model through 5G low-latency transmission, providing virtual restoration of cultural relics, reproduction of historical scenes, and interactive game experiences.

[0014] The scenic area's intelligent sensing network includes an intelligent gate subsystem, a visitor flow statistics subsystem, an environmental monitoring subsystem, an IoT equipment subsystem, and a video security subsystem. Each subsystem achieves data preprocessing and local linkage control through an edge computing gateway. The intelligent gate subsystem integrates facial recognition, QR code recognition, and ID card reading functions, supporting contactless and rapid passage. The visitor flow statistics subsystem uses binocular stereo vision technology, achieving a statistical accuracy rate of over 98%, and can distinguish between adults and children and count their stay duration. The environmental monitoring subsystem collects temperature, humidity, PM2.5, noise, and light data in real time, and automatically issues warnings when parameters exceed standards.

[0015] The cultural tourism data platform adopts a distributed microservice architecture, including a data acquisition layer, a data governance layer, a data storage layer, and a data service layer. The data acquisition layer supports access methods such as API interfaces, file transfer, message queues, and database synchronization. The data governance layer constructs a comprehensive tagging system of tourist tags, scenic area resource tags, service tags, and event tags through cleaning, deduplication, anonymization, and standardization. The data storage layer adopts a hybrid storage architecture, storing structured data in a relational database, semi-structured data in a document database, and unstructured data in a distributed file system, supporting petabyte-level storage and millisecond-level queries.

[0016] The intelligent decision-making engine includes a passenger flow prediction module, a resource scheduling module, a personalized recommendation module, and an emergency response module. The passenger flow prediction module is based on the LSTM neural network algorithm, combined with historical passenger flow, real-time monitoring, weather, and holiday factors, to achieve accurate 24-hour passenger flow prediction with an accuracy rate of over 95%. The resource scheduling module automatically adjusts the frequency of shuttle buses, cleaning frequency, and service personnel configuration based on the prediction results. The personalized recommendation module is based on collaborative filtering and content similarity algorithms, combined with tourist preferences and real-time location, to generate personalized routes, attractions, and cultural and creative recommendations.

[0017] The security and compliance management module includes a data encryption submodule, an access control submodule, a privacy protection submodule, and a compliance audit submodule. The data encryption submodule uses AES-256 symmetric encryption and RSA-2048 asymmetric encryption to achieve end-to-end data encryption. The access control submodule is based on the RBAC permission model and multi-factor authentication to achieve fine-grained permission management. The privacy protection submodule uses anonymization, differential privacy, and federated learning technologies. The compliance audit submodule records data operation behavior and generates tamper-proof audit logs to meet the requirements of the Data Security Law and the Personal Information Protection Law.

[0018] The system also includes a cultural tourism business operation module, which interacts bidirectionally with the cultural tourism data platform and the scenario-based service execution module. The cultural tourism business operation module includes a cultural and creative product promotion sub-module, a secondary consumption recommendation sub-module, and a membership management sub-module, which realizes cultural and creative product push, consumption recommendation, membership points, and precision marketing.

[0019] The system adopts a containerized deployment architecture, supporting cloud-edge-device collaborative computing; edge nodes are responsible for real-time data collection and rapid response, while the cloud is responsible for big data analysis and intelligent decision-making; the edge and cloud synchronize data through 5G / fiber optics, and the edge nodes independently run core services when the network is interrupted.

[0020] The system also includes an open interface platform that adopts the RESTful API design specification, provides standardized data and service interfaces, and supports integration with third-party platforms, government regulatory systems, and cross-scenic area systems to achieve data sharing and business collaboration.

[0021] Compared with the prior art, the beneficial effects of the present invention are as follows:

[0022] (1) This invention realizes the unified access, cleaning, fusion and standardization of heterogeneous data from multiple sources such as tourist terminals, sensing devices and operating systems through the cultural tourism data platform, and builds a full-domain cultural tourism data asset library and tag system to solve the pain points of data dispersion and incompatibility in traditional systems. It provides complete data support for intelligent decision-making, precise services and efficient operation, and greatly improves data utilization and decision reliability. Relying on Beidou / GPS+UWB dual-mode high-precision positioning technology, combined with tourist preference tags and real-time location information, it provides tourists with customized tour routes, scenic spot explanations and service reservations. At the same time, through the linkage of AR / VR immersive experience and digital twin model, it realizes the virtual restoration of cultural relics and the reproduction of historical scenes, breaks through the traditional cultural tourism sightseeing mode, and greatly improves the fun, convenience and satisfaction of tourists. Based on LSTM neural network, it realizes accurate prediction of 24-hour passenger flow. Combined with dynamic resource scheduling algorithm, it automatically adjusts the resource configuration of shuttle buses, cleaning, service personnel and equipment operation, realizes the transformation of scenic spot operation from passive response to active prediction, reduces manual management costs, reduces problems such as passenger flow congestion and resource waste, and improves the carrying capacity and operation management efficiency of scenic spots.

[0023] (2) This invention adopts a containerized deployment and cloud-edge-device collaborative computing mode. The edge nodes are responsible for real-time data collection and local rapid response, while the cloud is responsible for big data analysis and intelligent decision-making. When the network is interrupted, the edge nodes can independently run core services such as gate access, passenger flow monitoring, and local tours. After the network is restored, the data is automatically synchronized, which completely solves the problems of high network dependence and network failure in traditional systems and ensures the stable operation of the system 24 / 7. Through the standardized RESTful API open interface platform, it can seamlessly connect with government cultural tourism supervision systems, third-party service platforms, and surrounding scenic area systems to achieve cultural tourism data sharing, business linkage, and resource interconnection, break down the barriers to single scenic area operation, promote the integrated and collaborative development of regional cultural tourism, and enhance the overall competitiveness of the cultural tourism industry. The AR / VR immersive experience sub-module combines 5G low-latency transmission and digital twin technology to provide scenic areas with new service content such as virtual display, interactive experience, and cultural popularization, enrich the supply of cultural tourism products, promote the transformation of cultural tourism from sightseeing to experience and culture, and enhance the brand value and core competitiveness of scenic areas.

[0024] (3) In this invention, the cultural tourism business operation module accurately pushes information on cultural and creative products, catering, accommodation, entertainment and other services based on tourists' travel trajectory, interest tags and consumption preferences. Combined with the membership points and level system, it realizes precise marketing, effectively improves the conversion rate of tourists' secondary consumption and repeat visit rate, and creates new profit growth points for scenic spots. The intelligent decision engine has a built-in emergency response module, which combines security monitoring and environmental monitoring data to analyze safety risks in real time, automatically triggers emergency strategies such as early warning, broadcast notification, passenger flow guidance and equipment shutdown, and quickly responds to emergencies such as personnel gathering, environmental exceeding standards, equipment failure and safety hazards, and comprehensively protects the personal safety of tourists and the operation order of scenic spots. Attached Figure Description

[0025] Figure 1 This is a flowchart illustrating the overall architecture of the present invention.

[0026] Figure 2 This is a flowchart illustrating the core business closed-loop process of full-domain data flow in this invention.

[0027] Figure 3 This is a flowchart illustrating the internal algorithm execution process of the intelligent decision engine of the present invention. Detailed Implementation

[0028] The present invention will now be further described in conjunction with specific embodiments. It should be noted that, without conflict, the various embodiments or technical features described below can be arbitrarily combined to form new embodiments.

[0029] In the description of this invention, it should be noted that directional terms such as "center," "lateral," "longitudinal," "length," "width," "thickness," "upper," "lower," "front," "rear," "left," "right," "vertical," "horizontal," "top," "bottom," "inner," "outer," "clockwise," and "counterclockwise" indicate the orientation and positional relationship based on the orientation or positional relationship shown in the accompanying drawings. They are only for the convenience of describing this invention and simplifying the description, and do not indicate or imply that the device or element referred to must have a specific orientation, or be constructed and operated in a specific orientation. They should not be construed as limiting the specific protection scope of this invention.

[0030] It should be noted that the terms "first" and "second" in the specification and claims of this invention are used to distinguish similar objects and are not necessarily used to describe a specific order or sequence.

[0031] Example 1

[0032] Preferred embodiments of the present invention, such as Figures 1 to 3As shown, a smart cultural tourism system includes a tourist terminal interaction module, a scenic area intelligent sensing network, a cultural tourism data platform, an intelligent decision engine, a scenario-based service execution module, a security and compliance management module, a cultural tourism business operation module, and an open interface platform; each module establishes two-way data interaction through an encrypted communication protocol and is deployed using a containerized cloud-edge-device collaborative architecture.

[0033] S1: Tourist terminal interaction module. Tourists can complete registration, login, reservation and payment through the mobile application sub-module. The intelligent guide sub-module achieves accurate positioning and navigation through Beidou / GPS+UWB. The AR / VR sub-module links with the digital twin model to provide an immersive experience. The multilingual intelligent customer service sub-module responds to tourist inquiries in real time.

[0034] S2: The scenic area's intelligent sensing network includes an intelligent gate subsystem that enables contactless entry, a visitor flow statistics subsystem that monitors visitor density in real time, an environmental monitoring subsystem that collects environmental parameters, an IoT device subsystem that monitors hardware status, and a video security subsystem that provides real-time security monitoring. All data is preprocessed by an edge computing gateway and then uploaded to the cultural tourism data platform.

[0035] S3: The cultural tourism data platform has a data collection layer that accesses multi-source data from terminals, sensing, and operations; a data governance layer that completes cleaning, desensitization, and standardization, and builds a full-domain labeling system; a data storage layer that adopts a hybrid storage architecture; and a data service layer that provides standardized data services to the outside world.

[0036] S4: Intelligent decision engine, based on LSTM algorithm to predict 24-hour passenger flow, dynamically dispatch shuttle buses, personnel, and cleaning resources; generate personalized tour and consumption recommendations through collaborative filtering algorithm; and analyze security and environmental risks in real time to generate emergency response strategies.

[0037] S5: Scenario-based service execution module, receives decision-making instructions, and coordinates with intelligent broadcasting, information screens, lighting, and performance equipment to perform passenger flow guidance, service delivery, and equipment control operations.

[0038] S6: Security and compliance management module, which encrypts the entire process of data transmission and storage, controls permissions based on the RBAC model, protects visitor privacy through differential privacy, and records and audits operation logs throughout the process.

[0039] The cultural tourism business operation module pushes information on cultural and creative products, catering, and accommodation based on tourist tags and travel routes, and improves tourist repurchase rate through a membership points system; the open interface platform connects with government cultural tourism supervision platforms, third-party payment platforms, and surrounding scenic area systems to achieve data sharing and business collaboration.

[0040] Example 2

[0041] The difference between this embodiment and Embodiment 1 is that when the scenic area network is interrupted, the edge computing gateway starts the local autonomous mode, independently completes core services such as passenger flow monitoring, access control at turnstiles, and local guided tours, and automatically synchronizes data to the cloud after the network is restored to ensure the uninterrupted operation of the system.

[0042] Working principle:

[0043] When in use, tourists complete operations such as identity information entry, tour preference settings, service reservation, and location reporting through terminals such as mobile applications and intelligent guided tour devices of the tourist terminal interaction module, generating tourist basic data, real-time demand instructions, and location data; at the same time, multilingual intelligent customer service and AR / VR devices synchronously collect tourist interaction data, and all data is transmitted to the scenic area edge computing gateway through an encrypted protocol; perception devices such as intelligent turnstiles, passenger flow statistics, environmental monitoring, device Internet of Things, and video security deployed throughout the scenic area collect perception data such as passenger flow density, temperature and humidity, PM2.5, device operating status, and security footage in real time; all perception data is first locally preprocessed by the edge computing gateway to complete noise reduction, duplicate removal, format unification, etc., reducing the data transmission pressure on the cloud, and at the same time realizing local fast response and preliminary linkage control of perception data;

[0044] The terminal data and perception data after edge preprocessing are uploaded to the cultural and tourism data center through an encrypted communication link; the data center completes multi-source data access through the data collection layer, and then the data governance layer performs cleaning, desensitization, and standardization processing to build a global label system such as tourist labels, resource labels, service labels, and event labels, and finally completes data classification storage through a hybrid storage architecture to form reusable and analyzable global cultural and tourism data assets; the security and compliance management module is embedded in the data flow link throughout the process, encrypts data transmission and storage with double algorithms of AES-256+RSA-2048, performs refined access control on different roles such as system administrators, tourists, and operators based on the RBAC permission model, protects tourists' personal information through anonymization and differential privacy technologies, and at the same time records data operation behaviors throughout the process to generate tamper-proof audit logs to ensure the security and compliance of the entire process of data.

[0045] The intelligent decision engine retrieves standardized data after governance by the data platform, combines it with external data such as weather and holidays, and uses an LSTM neural network to predict passenger flow distribution for the next 24 hours. Based on the prediction results, it generates passenger flow management and resource scheduling strategies. At the same time, it generates personalized tour and consumption recommendations by combining collaborative filtering and content similarity algorithms with tourist tags and real-time location. For security and environmental anomalies, it generates emergency response and early warning strategies in real time. The scenario-based service execution module receives instructions from the intelligent decision engine and links with hardware equipment such as intelligent broadcasting, guide screens, lighting, performances, and turnstiles in the scenic area to perform operations such as passenger flow management broadcasts, route navigation pushes, automatic equipment start and stop, and contactless access control, realizing the implementation of service instructions and intelligent management and control of all equipment. The cultural tourism and commercial operation module synchronously retrieves tourist tags and tour trajectory data from the data platform to accurately push secondary consumption information such as cultural and creative products, catering, accommodation, and entertainment to tourists. At the same time, it completes operations such as points calculation, level upgrades, and rights distribution through the membership management sub-module, realizing intelligent and precise operation of cultural tourism and commerce.

[0046] Scene execution data, business operation data, and tourist feedback data are fed back to the cultural tourism data platform in real time. This data is used to update the tagging system, optimize algorithm models, and improve resource scheduling strategies, forming a closed-loop iterative mechanism of decision-making, execution, feedback, and optimization to continuously improve the system's service accuracy and operational efficiency. The open interface platform provides data and service interfaces to the outside world through standardized RESTful APIs, enabling data synchronization and business linkage with government cultural tourism supervision systems, third-party service platforms, and cross-scenic area systems. This promotes regional cultural tourism resource sharing, service interoperability, and collaborative development. The system adopts a cloud-edge-device collaborative computing model. The cloud is responsible for big data analysis and global decision-making, while edge nodes are responsible for real-time data collection and local response. When the network is interrupted, the edge nodes automatically switch to autonomous operation mode, independently ensuring core services such as gate access, visitor flow monitoring, and local navigation. After the network is restored, data synchronization is automatically completed to ensure continuous and stable system operation.

[0047] The basic principles, main features, and advantages of this invention have been described above. Those skilled in the art should understand that this invention is not limited to the above embodiments. The embodiments and descriptions in the specification are merely principles of the invention. Various changes and modifications can be made without departing from the spirit and scope of the invention, and all such changes and modifications fall within the scope of the invention as claimed. The scope of protection claimed by this invention is defined by the appended claims and their equivalents.

Claims

1. A smart cultural tourism system, characterized in that, It includes a tourist terminal interaction module, a scenic area intelligent sensing network, a cultural tourism data platform, an intelligent decision engine, a scenario-based service execution module, and a security and compliance management module. Each module establishes a two-way data interaction link through an encrypted communication protocol, realizing integrated intelligent management and personalized and precise supply of cultural tourism services across the entire area, significantly improving the convenience of tourist experience and the operational efficiency of scenic areas, while ensuring data security and compliance. S1: The tourist terminal interaction module is used to collect basic tourist information, preference data and real-time demand commands, and push personalized service content and real-time scenic area information to tourists; S2: The scenic area's intelligent sensing network is deployed in various areas of the scenic area to collect real-time data on visitor density, environmental parameters, equipment operating status, and security monitoring. S3: The cultural and tourism data platform cleans, integrates, stores, and standardizes multi-source heterogeneous data to build a comprehensive cultural and tourism data asset library; S4: The intelligent decision engine uses machine learning algorithms to perform in-depth analysis of the data processed by the data platform, generating passenger flow management strategies, resource scheduling plans and personalized service recommendations. S5: The scenario-based service execution module executes service operations in conjunction with various intelligent devices in the scenic area based on instructions output by the intelligent decision engine. S6: The security and compliance management module runs through the entire data flow process of each module, realizing data encryption, access control, privacy protection and compliance auditing. It solves the technical problems of data silos, service homogenization, slow response and prominent security risks in the existing cultural and tourism system, and has significant economic and social benefits.

2. The smart cultural tourism system as described in claim 1, characterized in that: The S1 visitor terminal interaction module includes a mobile application submodule, a smart guide submodule, an AR / VR immersive experience submodule, and a multilingual intelligent customer service submodule. The mobile application submodule achieves account interoperability with third-party platforms through the OAuth2.0 protocol, supporting functions such as QR code entry, online reservation, electronic payment, and itinerary planning. The S4 smart guide submodule integrates Beidou / GPS dual-mode positioning and UWB high-precision indoor positioning technology, with a positioning accuracy of 0.3-0.5 meters. Combined with electronic maps, it enables real-time navigation and route optimization. The AR / VR immersive experience submodule links with the scenic area's digital twin model through 5G low-latency transmission technology, providing virtual restoration of cultural relics, reproduction of historical scenes, and interactive game experiences.

3. The smart cultural tourism system as described in claim 1, characterized in that: The S2 scenic area's intelligent sensing network includes an intelligent gate subsystem, a visitor flow statistics subsystem, an environmental monitoring subsystem, an IoT equipment subsystem, and a video security subsystem. Each subsystem achieves data preprocessing and local linkage control through an edge computing gateway. The intelligent gate subsystem integrates facial recognition, QR code recognition, and ID card reading functions, supporting contactless and rapid passage. The visitor flow statistics subsystem uses binocular stereo vision technology with an accuracy rate of over 98%, capable of distinguishing between adults and children and calculating their stay duration. The environmental monitoring subsystem collects real-time data on temperature, humidity, PM2.5, noise, and light intensity, automatically triggering an early warning mechanism when parameters exceed standards.

4. The smart cultural tourism system as described in claim 1, characterized in that: The S3 cultural tourism data platform adopts a distributed microservice architecture, including a data acquisition layer, a data governance layer, a data storage layer, and a data service layer. The data acquisition layer supports multiple data access methods such as API interfaces, file transfer, message queues, and database synchronization. The data governance layer constructs a comprehensive tagging system including tourist tags, scenic area resource tags, service tags, and event tags through data cleaning, deduplication, anonymization, and standardization. The data storage layer adopts a hybrid storage architecture, storing structured data in a relational database, semi-structured data in a document database, and unstructured data in a distributed file system, supporting petabyte-level data storage and millisecond-level query response.

5. The smart cultural tourism system as described in claim 1, characterized in that: The S4 intelligent decision-making engine includes a passenger flow prediction module, a resource scheduling module, a personalized recommendation module, and an emergency response module. The passenger flow prediction module is based on the LSTM neural network algorithm, combined with historical passenger flow data, real-time monitoring data, weather information, and holiday factors, to achieve accurate prediction of passenger flow distribution in the next 24 hours, with an accuracy rate of over 95%. The resource scheduling module automatically adjusts the frequency of shuttle bus departures, restroom cleaning frequency, and catering service staff allocation based on the prediction results. The personalized recommendation module is based on collaborative filtering and content similarity algorithms, combined with tourist preference tags and real-time location information, to generate personalized tour routes, attraction recommendations, and cultural and creative product suggestions.

6. The smart cultural tourism system as described in claim 1, characterized in that: The S6 security and compliance management module includes a data encryption submodule, an access control submodule, a privacy protection submodule, and a compliance audit submodule. The data encryption submodule employs AES-256 symmetric encryption and RSA-2048 asymmetric encryption algorithms to achieve end-to-end encryption of data transmission and storage. The access control submodule, based on the RBAC permission model and combined with multi-factor authentication technology, enables refined permission management for users with different roles. The privacy protection submodule uses data anonymization, differential privacy, and federated learning technologies to protect visitor privacy while ensuring data availability. The compliance audit submodule records all data operation behaviors and generates unalterable audit logs, meeting the requirements of the Data Security Law and the Personal Information Protection Law.

7. The smart cultural tourism system as described in claim 1, characterized in that: The S6 security and compliance management module includes a data encryption submodule, an access control submodule, a privacy protection submodule, and a compliance audit submodule. The data encryption submodule employs AES-256 symmetric encryption and RSA-2048 asymmetric encryption algorithms to achieve end-to-end encryption of data transmission and storage. The access control submodule, based on the RBAC permission model and combined with multi-factor authentication technology, enables refined permission management for users with different roles. The privacy protection submodule uses data anonymization, differential privacy, and federated learning technologies to protect visitor privacy while ensuring data availability. The compliance audit submodule records all data operation behaviors and generates unalterable audit logs, meeting the requirements of the Data Security Law and the Personal Information Protection Law.

8. The smart cultural tourism system as described in claim 1, characterized in that: It also includes a cultural tourism business operation module, which interacts bidirectionally with the cultural tourism data platform and scenario-based service execution module. This module includes sub-modules for promoting cultural and creative products, recommending secondary consumption, and managing memberships. The promotion sub-module pushes customized cultural and creative product information in appropriate scenarios based on tourist interest tags and travel trajectories. The secondary consumption recommendation sub-module recommends nearby restaurants, accommodations, and entertainment services based on tourists' real-time location and consumption preferences. The membership management sub-module establishes a tourist points system and tiered system to achieve automatic distribution of membership benefits and precise marketing.

9. A smart cultural tourism system as described in claim 1, characterized in that: The system adopts a containerized deployment architecture, supports cloud-edge-device collaborative computing, with edge nodes responsible for real-time data collection and rapid response control, and cloud nodes responsible for big data analysis and intelligent decision-making. Edge nodes and the cloud synchronize data through 5G or fiber optic networks. When the network is interrupted, the edge nodes can independently run core services to ensure system stability and continuity.

10. A smart cultural tourism system as described in claim 1, characterized in that: The system also includes an open interface platform, which adopts the RESTful API design specification, provides standardized data interfaces and service interfaces, supports seamless connection with third-party platforms, government regulatory systems and other cultural and tourism scenic area systems, realizes cultural and tourism data sharing and business collaboration, and promotes the integrated development of cultural and tourism across the entire region.

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