Tourist attraction information service system based on big data

Abstract

The invention discloses a tourist attraction information service system based on big data, and relates to the technical field of tourist information, the tourist attraction information service system is composed of a main system and a plurality of subsystems serving a single tourist attraction, and the main system provides regional tourist information service. The system comprises a cloud platform (comprising a physical layer, a platform layer and an application layer), an intelligent data acquisition module (utilizing the Internet of Things, a sensor and a data exchange and integration technology), a data processing module (data cleaning, fusion and intelligent analysis), a decision support module (monitoring tourist flow, predicting trend and evaluating scenic spot conditions) and an intelligent recommendation module (recommending tourist sites according to tourist preferences, and recommending the tourist sites according to tourist preferences. And people flow is adjusted in the peak period. The system aims at optimizing tourist experience and providing decision support for scenic spot management.

Description

Technical Field

[0001] The present invention belongs to the field of tourism information technology, and in particular relates to a tourist attraction information service system based on big data. Background Art

[0002] With the rapid development of tourism, tourists have an increasing demand for real-time, flexible, intelligent and humanized tourism information services. Traditional tourism information systems have problems such as scattered information, untimely updates, and low query efficiency, which cannot meet the development needs of modern tourism. Therefore, the use of big data technology to integrate, analyze and provide intelligent services for tourism information has become an important way to solve the above problems. However, the existing tourist attraction information service system still has many problems in the implementation process, such as high data processing complexity, imperfect management mechanism, shortage of talents and insufficient training, and limited sustainability. These problems restrict the further development of smart tourist attractions. Therefore, a new technical solution is needed to comprehensively and comprehensively solve these problems. Summary of the invention

[0003] The purpose of the present invention is to provide a tourist attraction information service system based on big data, which comprehensively solves the problems existing in the existing tourist attraction information service system, such as complex data processing, imperfect management mechanism, shortage of talents and insufficient training, and limited sustainability.

[0004] In order to solve the above technical problems, the present invention is achieved through the following technical solutions:

[0005] The present invention is a tourist attraction information service system based on big data, including a main system, the main system is composed of several subsystems, the subsystems serve a single tourist attraction, the main system is used to provide regional tourist information services including multiple tourist attractions, the subsystems and the main system both include:

[0006] A cloud platform, used for storing and processing tourism resource information, the cloud platform comprising a physical layer, a platform layer and an application layer;

[0007] Intelligent data collection module, the specific collection methods of the intelligent data collection module include using IoT devices and sensors to collect real-time data of tourist attractions, and using data exchange and integration methods to exchange and integrate data with other tourism information systems or data sources;

[0008] The data processing module specifically includes a processing unit and an intelligent analysis unit. The processing unit uses data cleaning technology to pre-process the data and uses data fusion to integrate data from different sources. The intelligent analysis unit uses the data processed by the big data analysis algorithm to perform in-depth mining, extract valuable information data, and analyze the data according to various established algorithm models;

[0009] The decision support module uses big data analysis technology based on data analysis results to monitor the tourist flow in each area of ​​the scenic area in real time, predict future tourist flow trends, and analyze tourists' behavioral habits to understand their preferences and needs, conduct a comprehensive assessment of the scenic area, and provide decision support for scenic area managers;

[0010] The intelligent recommendation module is used to recommend relevant tourist attractions to tourists based on their preferences and historical behavior data, and to adjust the flow of people through intelligent algorithms during peak tourist seasons to optimize the tourist experience.

[0011] As a preferred technical solution of the present invention, the subsystem and the main system also include: a unified management and service standard module, which is used to formulate and implement unified data standards, technical standards and service standards, and use blockchain technology to ensure the authenticity and non-tamperability of data, and establish an information sharing platform to achieve real-time data exchange and sharing between departments within the scenic area or between scenic spots in the region.

[0012] As a preferred technical solution of the present invention, the subsystem and the main system further include: a talent cultivation and training module, specifically including:

[0013] The training base construction submodule is used to provide opportunities for practical operation and drills;

[0014] The external expert resource submodule is used to invite industry experts and scholars to conduct regular technical training and exchange activities;

[0015] The self-learning platform sub-module is used to provide online learning resources to encourage employees to learn independently and make continuous progress.

[0016] As a preferred technical solution of the present invention, the unified management and service standard module also includes:

[0017] The service quality monitoring submodule collects tourists’ feedback and evaluations, monitors the service quality and tourists’ satisfaction in real time, and promptly identifies problems and takes measures;

[0018] The standard formulation and updating submodule is responsible for regularly updating and optimizing data standards, technical standards and service standards to adapt to changes in the tourism market and technological advances.

[0019] As a preferred technical solution of the present invention, the cloud platform adopts a modular design and is divided into multiple independent modules to facilitate the addition and expansion of subsequent functions. At the same time, cloud computing technology is used to realize dynamic allocation and on-demand use of system resources, thereby reducing operation and maintenance costs.

[0020] As a preferred technical solution of the present invention, the intelligent data collection module also includes collecting data such as comments, pictures and videos about scenic spots posted by tourists from social media platforms through API interfaces or crawler technology. These data can reflect the real experience and feelings of tourists and provide a richer data source for the intelligent analysis unit.

[0021] As a preferred technical solution of the present invention, the data processing module further includes:

[0022] Data security and privacy protection unit, which uses encryption technology and access control strategies to ensure the security of tourism data and the protection of tourists' privacy during storage, transmission and processing;

[0023] Data visualization unit, which visualizes the processed data in the form of charts, maps, etc., to facilitate managers to quickly understand and make decisions.

[0024] As a preferred technical solution of the present invention, the decision support module uses a prediction model to input historical data and real-time data, outputs tourist flow prediction results, automatically adjusts resource allocation strategies based on the prediction results, and notifies relevant departments through the system to execute, analyze scenic spot operation data, and provide real-time decision support for managers.

[0025] As a preferred technical solution of the present invention, the decision support module also includes an intelligent early warning system, which warns of possible tourist congestion and safety hazards based on real-time data monitoring and analysis results, and automatically triggers a corresponding emergency response mechanism.

[0026] As a preferred technical solution of the present invention, the intelligent recommendation module further includes a personalized itinerary planning submodule, which can automatically generate and recommend the optimal tour route based on the specific needs of tourists and combined with real-time information in the current scenic area.

[0027] The present invention has the following beneficial effects:

[0028] Comprehensive service: Through the combination of the main system and subsystems, the system can provide tourists with regional tourism information services, covering multiple tourist attractions and meeting the diverse tourism needs of tourists.

[0029] Real-time data collection: The intelligent data collection module uses IoT devices and sensors to collect various data of tourist attractions in real time, ensuring the timeliness and accuracy of the data.

[0030] Efficient data processing: The data processing module uses data cleaning and data fusion technology to improve the quality and utilization of data. The intelligent analysis unit mines valuable information through big data analysis algorithms to provide a basis for subsequent decision-making.

[0031] Intelligent decision support: The decision support module provides real-time monitoring, prediction and comprehensive evaluation for scenic area managers through analysis of data such as tourist flow and behavioral habits, which helps to improve the management level of scenic spots.

[0032] Personalized recommendations: The intelligent recommendation module provides tourists with personalized tour suggestions based on their preferences and historical behavior data. At the same time, it uses intelligent algorithms to adjust the flow of people during peak tourist seasons and optimize the tourist experience.

[0033] Of course, any product implementing the present invention does not necessarily need to achieve all of the advantages described above at the same time. BRIEF DESCRIPTION OF THE DRAWINGS

[0034] In order to more clearly illustrate the technical solutions of the embodiments of the present invention, the accompanying drawings required for describing the embodiments will be briefly introduced below. Obviously, the accompanying drawings described below are only some embodiments of the present invention. For ordinary technicians in this field, other accompanying drawings can be obtained based on these accompanying drawings without paying creative work.

[0035] Figure 1 is a system architecture diagram of the present invention;

[0036] Figure 2 This is a schematic diagram of the intelligent acquisition module in Example 3;

[0037] Figure 3 This is a system architecture diagram in Example 2. DETAILED DESCRIPTION

[0038] The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0039] See also Figure 1-3 As shown, the present invention provides a tourist attraction information service system based on big data, which is as follows:

[0040] Embodiment 1

[0041] A tourist attraction information service system based on big data includes a main system, which is composed of several subsystems. The subsystem serves a single tourist attraction, and the main system is used to provide regional tourist information services including multiple tourist attractions. Both the subsystem and the main system include: a cloud platform for storing and processing tourist resource information, and the cloud platform includes a physical layer, a platform layer and an application layer; an intelligent data acquisition module, and the specific acquisition method of the intelligent data acquisition module includes using Internet of Things devices and sensors to collect real-time data of tourist attractions, and using data exchange and integration methods to exchange and integrate data with other tourist information systems or data sources; a data processing module, which specifically includes a processing unit and an intelligent analysis unit, and the processing unit uses data cleaning technology to perform data Preprocessing, and using data fusion to integrate data from different sources, the intelligent analysis unit uses the data processed by the big data analysis algorithm to conduct in-depth mining, extract valuable information data, and analyze the data according to the various algorithm models that have been built; the decision support module, based on the data analysis results, uses big data analysis technology to monitor the tourist flow in various areas of the scenic area in real time, predict future tourist flow trends, and analyze tourists' behavioral habits to understand their preferences and needs, conduct a comprehensive assessment of the scenic area situation, and provide decision support for scenic area managers; the intelligent recommendation module is used to recommend relevant tourist attractions to tourists based on their preferences and historical behavior data, and adjust the flow of people through intelligent algorithms during peak tourist seasons to optimize the tourist experience.

[0042] This embodiment describes a tourist attraction information service system based on big data. Its structured and functional design aims to improve the information service level of tourist attractions, enhance the tourist experience, and provide scientific decision-making support for scenic area managers. The following is a detailed interpretation of the main components and functions of the system:

[0043] System architecture:

[0044] Main system: As the core of the entire service system, it is responsible for providing regional tourism information services covering multiple tourist attractions.

[0045] Subsystem: Serves a single tourist attraction and works in conjunction with the main system to ensure the accuracy of information and the pertinence of services.

[0046] The difference between the main system and the subsystem is that the subsystem generally serves a single scenic spot, and the main system serves a large range of regional tourism information services. Several subsystems are combined into a main system, and the main system plays a comprehensive coordination role. When the system is used for regional services, the function of a single subsystem is similar to the intelligent data acquisition module in the subsystem, providing data and various resources for the main system to coordinate and allocate. The specific usage scenarios are built according to needs.

[0047] Cloud Platform:

[0048] Physical layer: provides hardware infrastructure, such as servers and storage devices, to support the operation of the entire system;

[0049] Platform layer: built on the physical layer, providing middleware services such as data processing, storage, and access control;

[0050] Application layer: implements specific application functions, such as data processing, intelligent recommendation, etc., and provides services directly to users and managers.

[0051] Intelligent data acquisition module:

[0052] Use IoT devices and sensors to collect key data such as the environment and flow of people in tourist attractions in real time.

[0053] Through data exchange and integration technology, data can be shared with other tourism information systems or data sources to expand data sources and improve data richness.

[0054] Data processing module:

[0055] Processing unit: Use data cleaning technology to remove noise and redundancy in data and improve data quality; use data fusion technology to integrate data from different channels to form a unified data view;

[0056] Intelligent analysis unit: Use big data analysis algorithms to conduct in-depth data mining and extract valuable information; conduct multi-dimensional analysis of data based on the established algorithm model to provide a scientific basis for decision support.

[0057] Decision support module:

[0058] Monitor the tourist flow in each area of ​​the scenic spot in real time, predict future tourist flow trends, and help scenic spot managers formulate response measures in advance;

[0059] Analyze tourists' behavior habits, understand their preferences and needs, and provide a basis for optimizing scenic spots' services and improving tourists' satisfaction;

[0060] Conduct a comprehensive assessment of scenic area conditions and provide scientific decision-making support for scenic area managers.

[0061] Intelligent recommendation module:

[0062] Provide personalized recommendations for tourist attractions based on tourists' preferences and historical behavior data to enhance the tourist experience;

[0063] During peak tourist seasons, intelligent algorithms are used to regulate passenger flow, avoid tourist congestion, and optimize scenic area tour order.

[0064] To sum up, the tourist attraction information service system of this embodiment realizes the comprehensive collection, efficient processing, intelligent analysis and accurate recommendation of tourist attraction information by integrating advanced technologies such as big data and the Internet of Things, providing tourists with a more convenient and personalized tourism service experience. At the same time, it also provides scientific decision-making support for scenic spot managers, which helps to improve the overall operational efficiency and management level of the scenic spot.

[0065] Embodiment 2

[0066] Based on Example 1, the difference of this embodiment is that the subsystem and the main system also include: a unified management and service standard module, which is used to formulate and implement unified data standards, technical standards and service standards, and use blockchain technology to ensure the authenticity and non-tamperability of data, and establish an information sharing platform to realize real-time exchange and sharing of data between departments within the scenic area or between scenic spots in the region; the unified management and service standard module also includes: a service quality monitoring submodule, which monitors the service quality of the scenic area and the satisfaction of tourists in real time by collecting feedback and evaluation from tourists, and promptly discovers problems and takes measures; a standard formulation and update submodule, which is responsible for regularly updating and optimizing data standards, technical standards and service standards to adapt to changes in the tourism market and technological advances.

[0067] In addition, the system also includes talent cultivation and training modules, including:

[0068] The training base construction submodule is used to provide opportunities for practical operation and drills;

[0069] The external expert resource submodule is used to invite industry experts and scholars to conduct regular technical training and exchange activities;

[0070] The self-learning platform sub-module is used to provide online learning resources to encourage employees to learn independently and make continuous progress.

[0071] Based on the first embodiment, this embodiment further enhances the unified management and service standardization of the system, introduces blockchain technology to enhance the security and authenticity of data, and also attaches importance to talent cultivation and training, providing a strong guarantee for the continuous optimization and development of the system. The following is a detailed explanation of the new modules and their functions:

[0072] 1. Unified management and service standard module

[0073] 1. Formulation and implementation of data standards, technical standards and service standards

[0074] Function: Ensure that the format, encoding, transmission, etc. of data between each subsystem and the main system follow unified standards, and that the provision of technical services follows consistent specifications, thereby improving the compatibility and maintainability of the system. At the same time, formulate unified service standards to enhance the visitor experience.

[0075] 2. Use blockchain technology to ensure the authenticity and immutability of data

[0076] Function: Through the decentralization, distributed storage and encryption algorithm of blockchain, the authenticity and immutability of data during transmission and storage are ensured, providing a reliable data foundation for data analysis, decision support and intelligent recommendation.

[0077] 3. Establish an information sharing platform to realize real-time data exchange and sharing

[0078] Function: Promote real-time data exchange and sharing between departments within a scenic area or between scenic areas within the region, break information silos, improve data utilization efficiency, and provide support for collaborative management and optimized operations of scenic areas.

[0079] 4. Service quality monitoring submodule

[0080] Function: By collecting tourists' feedback and evaluation, the service quality and tourist satisfaction of scenic spots can be monitored in real time, problems can be found in time and measures can be taken to improve them, so as to improve tourist satisfaction and service quality of scenic spots.

[0081] 5. Standards formulation and update submodule

[0082] Function: Regularly update and optimize data standards, technical standards and service standards to adapt to changes in the tourism market and technological advances, ensuring the system's continued leadership and adaptability.

[0083] 2. Talent cultivation and training module

[0084] 1. Training base construction sub-module

[0085] Function: Provide opportunities for practical operation and drills, allowing employees to learn and master new skills in practice and improve their practical operation capabilities.

[0086] 2. External expert resource submodule

[0087] Function: Invite industry experts and scholars to conduct regular technical training and exchange activities to provide employees with the latest industry trends and technical knowledge and enhance their professional quality and technical level.

[0088] 3. Autonomous learning platform submodule

[0089] Function: Provide online learning resources, encourage employees to learn independently and make continuous progress, provide employees with a flexible and convenient learning channel, and improve employees' learning enthusiasm and self-improvement ability.

[0090] In summary, this embodiment further improves the system's standardization level, data security, information sharing capabilities, and employee quality by introducing a unified management and service standard module and a talent development and training module, providing a strong guarantee for the continuous optimization and development of the system. These new modules and functions make the system more complete, efficient, and sustainable, and can better meet the information service needs of tourist attractions.

[0091] Embodiment 3

[0092] In another optional embodiment, the cloud platform adopts a modular design and is divided into multiple independent modules to facilitate the subsequent addition and expansion of functions. At the same time, cloud computing technology is used to achieve dynamic allocation and on-demand use of system resources, thereby reducing operation and maintenance costs.

[0093] The intelligent data collection module also includes collecting data such as comments, pictures and videos about scenic spots posted by tourists from social media platforms through API interfaces or crawler technology. These data can reflect the real experience and feelings of tourists and provide a richer data source for the intelligent analysis unit.

[0094] The data processing module also includes:

[0095] Data security and privacy protection unit, which uses encryption technology and access control strategies to ensure the security of tourism data and the protection of tourists' privacy during storage, transmission and processing;

[0096] Data visualization unit, which visualizes the processed data in the form of charts, maps, etc., to facilitate managers to quickly understand and make decisions.

[0097] The decision support module uses the prediction model to input historical data and real-time data, outputs the tourist flow prediction results, automatically adjusts the resource allocation strategy based on the prediction results, and notifies the relevant departments to execute through the system, analyzes the scenic area operation data, and provides real-time decision support for managers. The decision support module also includes an intelligent early warning system, which warns of possible tourist congestion and safety hazards based on real-time data monitoring and analysis results, and automatically triggers the corresponding emergency response mechanism.

[0098] The intelligent recommendation module further includes a personalized itinerary planning submodule, which can automatically generate and recommend the optimal tour route based on the specific needs of tourists and combined with the real-time information in the current scenic area.

[0099] Based on the previous implementation, this embodiment further optimizes and expands the cloud platform design, intelligent data collection module, data processing module, decision support module, and intelligent recommendation module, enhancing the flexibility, security, and intelligence level of the system. The following is a detailed explanation of these new and improved functions:

[0100] 1. Modular design of cloud platform

[0101] Function: The cloud platform adopts a modular design, dividing the system into multiple independent modules. This design facilitates the addition and expansion of subsequent functions, allowing the system to flexibly respond to changing business needs and technological developments.

[0102] Advantages: Cloud computing technology can be used to achieve dynamic allocation and on-demand use of system resources. Resource allocation can be automatically adjusted according to actual business load, reducing operation and maintenance costs and improving resource utilization.

[0103] 2. Intelligent Data Collection Module Expansion

[0104] API interface or crawler technology: Through API interface or crawler technology, collect data such as comments, pictures, videos and other data posted by tourists about scenic spots from social media platforms.

[0105] Function: These data can reflect the real experience and feelings of tourists, provide a richer data source for the intelligent analysis unit, and help improve the accuracy and depth of analysis.

[0106] 3. New functions of data processing module

[0107] 1. Data Security and Privacy Protection Unit

[0108] Function: Encryption technology and access control strategies are used to ensure the security of tourism data and the protection of tourists' privacy during storage, transmission and processing.

[0109] Advantages: Enhance the security of the system, protect tourists' personal information and privacy, and improve tourists' trust and satisfaction with the system.

[0110] 2. Data Visualization Unit

[0111] Function: The processed data is visualized in the form of charts, maps, etc., to facilitate managers to quickly understand and make decisions.

[0112] Advantages: Improve data readability and comprehensibility, reduce decision-making difficulty, and improve decision-making efficiency and accuracy.

[0113] 4. Decision support module optimization

[0114] Prediction model: input historical data and real-time data, and output tourist flow prediction results.

[0115] Function: Automatically adjust resource allocation strategies based on forecast results, and notify relevant departments through the system to implement them, so as to achieve optimal allocation and efficient use of resources.

[0116] Intelligent early warning system: Based on real-time data monitoring and analysis results, it warns of possible tourist congestion and safety hazards, and automatically triggers the corresponding emergency response mechanism.

[0117] Advantages: Improve the safety and efficiency of scenic spot operations, reduce risks, and improve visitor satisfaction.

[0118] 5. New features of the smart recommendation module

[0119] Personalized itinerary planning submodule: Based on the specific needs of tourists and combined with the real-time information in the current scenic area, it automatically generates and recommends the optimal tour route.

[0120] Function: Provide tourists with personalized tour experience and improve tourist satisfaction and loyalty.

[0121] Advantages: Enhance the intelligence level of the system, improve the tourist experience, and promote the development of the scenic area.

[0122] In summary, this embodiment further improves the flexibility, security, intelligence level and tourist experience of the system through a series of improvements and expansions such as modular design of cloud platform, expansion of intelligent data collection module, new functions of data processing module, optimization of decision support module and new functions of intelligent recommendation module. These improvements and expansions make the system more complete, efficient and sustainable, and can better meet the information service needs of tourist attractions.

[0123] In the description of this specification, the description with reference to the terms "one embodiment", "example", "specific example", etc. means that the specific features, structures, materials or characteristics described in conjunction with the embodiment or example are included in at least one embodiment or example of the present invention. In this specification, the schematic representation of the above terms does not necessarily refer to the same embodiment or example. Moreover, the specific features, structures, materials or characteristics described can be combined in any one or more embodiments or examples in a suitable manner.

[0124] The preferred embodiments of the present invention disclosed above are only used to help illustrate the present invention. The preferred embodiments do not describe all the details in detail, nor do they limit the invention to the specific implementation methods described. Obviously, many modifications and changes can be made according to the content of this specification. This specification selects and specifically describes these embodiments in order to better explain the principles and practical applications of the present invention, so that those skilled in the art can understand and use the present invention well. The present invention is limited only by the claims and their full scope and equivalents.

Claims

1. A tourist attraction information service system based on big data, characterized in that: The system comprises a main system, the main system is composed of several subsystems, the subsystems serve a single tourist attraction, the main system is used to provide regional tourism information services including multiple tourist attractions, and the subsystems and the main system both include: A cloud platform, used for storing and processing tourism resource information, the cloud platform comprising a physical layer, a platform layer and an application layer; Intelligent data collection module, the specific collection methods of the intelligent data collection module include using IoT devices and sensors to collect real-time data of tourist attractions, and using data exchange and integration methods to exchange and integrate data with other tourism information systems or data sources; The data processing module specifically includes a processing unit and an intelligent analysis unit. The processing unit uses data cleaning technology to pre-process the data and uses data fusion to integrate data from different sources. The intelligent analysis unit uses the data processed by the big data analysis algorithm to perform in-depth mining, extract valuable information data, and analyze the data according to various established algorithm models; The decision support module uses big data analysis technology based on data analysis results to monitor the tourist flow in each area of ​​the scenic area in real time, predict future tourist flow trends, and analyze tourists' behavioral habits to understand their preferences and needs, conduct a comprehensive assessment of the scenic area, and provide decision support for scenic area managers; The intelligent recommendation module is used to recommend relevant tourist attractions to tourists based on their preferences and historical behavior data, and to adjust the flow of people through intelligent algorithms during peak tourist seasons to optimize the tourist experience.

2. A tourist attraction information service system based on big data according to claim 1, characterized in that: The subsystem and main system also include: a unified management and service standard module, which is used to formulate and implement unified data standards, technical standards and service standards, and use blockchain technology to ensure the authenticity and non-tamperability of data, and establish an information sharing platform to achieve real-time exchange and sharing of data between departments within the scenic area or between scenic spots in the region.

3. A tourist attraction information service system based on big data according to claim 2, characterized in that: The subsystem and main system also include: a talent cultivation and training module, specifically including: a training base construction submodule for providing opportunities for actual operation and drills; The external expert resource submodule is used to invite industry experts and scholars to conduct regular technical training and exchange activities; The self-learning platform sub-module is used to provide online learning resources to encourage employees to learn independently and make continuous progress.

4. A tourist attraction information service system based on big data according to claim 3, characterized in that: The unified management and service standard module also includes: The service quality monitoring submodule collects tourists’ feedback and evaluations, monitors the service quality and tourists’ satisfaction in real time, and promptly identifies problems and takes measures; The standard formulation and updating submodule is responsible for regularly updating and optimizing data standards, technical standards and service standards to adapt to changes in the tourism market and technological advances.

5. A tourist attraction information service system based on big data according to claim 1, characterized in that: The cloud platform adopts a modular design and is divided into multiple independent modules to facilitate the addition and expansion of subsequent functions. At the same time, cloud computing technology is used to achieve dynamic allocation and on-demand use of system resources, thereby reducing operation and maintenance costs.

6. A tourist attraction information service system based on big data according to claim 1, characterized in that: The intelligent data collection module also includes collecting data such as comments, pictures and videos about scenic spots posted by tourists from social media platforms through API interfaces or crawler technology. These data can reflect the real experience and feelings of tourists and provide a richer data source for the intelligent analysis unit.

7. A tourist attraction information service system based on big data according to claim 1, characterized in that: The data processing module also includes: Data security and privacy protection unit, which uses encryption technology and access control strategies to ensure the security of tourism data and the protection of tourists' privacy during storage, transmission and processing; Data visualization unit, which visualizes the processed data in the form of charts, maps, etc., to facilitate managers to quickly understand and make decisions.

8. The tourist attraction information service system based on big data according to claim 1 is characterized in that: The decision support module uses the prediction model to input historical data and real-time data, outputs the tourist flow prediction results, automatically adjusts the resource allocation strategy based on the prediction results, and notifies the relevant departments to execute through the system, analyzes the scenic area operation data, and provides real-time decision support for managers.

9. A tourist attraction information service system based on big data according to claim 8, characterized in that: The decision support module also includes an intelligent early warning system, which, based on real-time data monitoring and analysis results, issues early warnings for possible tourist congestion and safety hazards, and automatically triggers corresponding emergency response mechanisms.

10. A tourist attraction information service system based on big data according to claim 1, characterized in that: The intelligent recommendation module further includes a personalized itinerary planning submodule, which can automatically generate and recommend the best tour route based on the specific needs of tourists and combined with the real-time information in the current scenic area.

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