CN118822792A - A smart cultural tourism digital twin interactive system - Google Patents

Abstract

The present invention relates to the field of smart cultural tourism technology, and discloses a smart cultural tourism digital twin interactive system, the interactive system comprising: a data acquisition module, which collects various types of data in the scenic area in real time and accurately through a variety of sensors and Internet of Things devices, including the real-time location of tourists, environmental parameters such as temperature and humidity, air quality, light intensity, and equipment status such as parking lot vacant spaces, public facilities usage, security monitoring video streams, etc.; it also has data preprocessing functions, including data cleaning, denoising, and compression, to ensure the efficiency and accuracy of subsequent processing. The smart cultural tourism digital twin interactive system, by constructing a high-precision digital twin model, combined with real-time data collection and analysis, realizes real-time interaction between tourists and virtual landscapes, enhances the tourism experience, and assists scenic area managers in refined management and decision-making.

Description

A smart cultural tourism digital twin interactive system

Technical Field

The present invention relates to the field of smart cultural tourism technology, and specifically to a smart cultural tourism digital twin interaction system.

Background Art

With the rapid development of information technology, smart cultural tourism has become an important direction for the transformation and upgrading of the tourism industry. In the existing smart cultural tourism system, scenic spot management is gradually moving towards digitalization and intelligence. Traditionally, scenic spots rely on manual inspections, paper records and other methods to collect and manage data, which is inefficient and prone to errors. Modern technologies, such as the Internet of Things (IoT), big data, and cloud computing, provide strong support for smart cultural tourism. At present, many scenic spots have begun to use IoT devices such as sensors, RFID tags, and video surveillance to collect data such as tourist behavior, environmental parameters, and equipment status in real time. At the same time, combined with geographic information systems (GIS) and building information modeling (BIM) technologies, a three-dimensional digital model of the scenic spot is constructed to assist in planning, management, and display. The application of these technologies enables scenic spot managers to understand the operation of the scenic spot more intuitively and improve management efficiency. In addition, user terminals such as smartphone APPs and smart wearable devices have also become important channels for tourists to interact with scenic spots. Tourists can use these terminals to obtain scenic spot information, plan travel routes, participate in interactive activities, etc., which greatly improves the convenience and fun of the travel experience.

Although existing technologies have achieved certain results in the field of smart cultural tourism, there are still many defects that need to be solved. First, the accuracy and real-time performance of data collection need to be improved. Due to the uneven distribution of sensor equipment and the non-uniform data format, there are omissions and errors in data collection, which affects the accuracy of subsequent processing and analysis. At the same time, the data preprocessing capability is limited, and it is difficult to effectively remove noise and compress data, which increases the system processing burden. Secondly, the construction and application of digital twin models are still imperfect. Most of the existing digital twin models remain at the static display level and lack dynamic update and expansion capabilities. The environmental parameters, tourist distribution, equipment status and other data in the model often cannot be updated synchronously in real time, resulting in a large deviation between the model and the actual scenic spot. In addition, the interaction of the model is not stable. The level of interactivity and intelligence also needs to be improved, and it is difficult to meet the growing personalized needs of tourists. Furthermore, the intelligence level of the data analysis module is insufficient. Although big data analysis and machine learning technologies have been applied to a certain extent in the field of smart cultural tourism, the existing systems often lack in-depth data mining and intelligent analysis capabilities, and it is difficult to accurately predict tourist behavior trends, discover potential problems and propose effective solutions. This limits the decision-making efficiency and accuracy of scenic spot managers to a certain extent. Finally, the interactive experience of user terminals needs to be optimized. Although terminals such as smartphone APPs and smart wearable devices provide tourists with convenient ways of interaction, the existing systems often have problems such as unfriendly interface design, single functions, and slow response speeds, which affect tourists' usage experience and satisfaction.

Summary of the invention

1. Technical issues to be solved

The purpose of this invention is to propose a smart cultural and tourism digital twin interactive system by constructing a high-precision digital twin model, combining real-time data collection and analysis, to achieve real-time interaction between tourists and virtual landscapes, enhance the tourism experience, and assist scenic area managers in refined management and decision-making.

(II) Technical solution

The technical solution of the present invention to solve the above technical problems is as follows:

A smart cultural tourism digital twin interactive system, the interactive system comprising:

The data acquisition module collects various data in the scenic area in real time and accurately through a variety of sensors and IoT devices, including the real-time location of tourists, environmental parameters such as temperature and humidity, air quality, and light intensity, as well as equipment status such as parking lot vacancies, public facilities usage, and security monitoring video streams. It also has data pre-processing functions, including data cleaning, denoising, and compression, to ensure the efficiency and accuracy of subsequent processing;

The digital twin modeling module uses 3DGIS and BIM technology to build a highly sophisticated and dynamically updated digital twin model of the scenic spot, which includes static information such as topography, building layout, and road network, and integrates dynamic data such as real-time changing environmental parameters, visitor distribution, and equipment status. It uses advanced rendering technology and physical engine simulation to truly reproduce the physical environment of the scenic spot, supports multi-scale observation and analysis, and supports dynamic update and expansion of the model;

The interactive control module, as the key to connecting tourists and the digital twin model, receives interactive instructions from the user terminal, parses and drives the virtual elements in the digital twin model to make corresponding changes, provides functions such as virtual tours, scenic spot introductions, navigation routes and personalized recommendations, and supports multiple interactive methods such as clicking, sliding, and voice control;

The data analysis module, as the intelligent brain of the system, uses big data analysis and machine learning technology to conduct in-depth mining and intelligent analysis of the collected data, monitor the flow, distribution, movement trajectory of tourists in real time, predict passenger flow trends and hot spots, analyze tourist behavior patterns, preferences and needs, and provide decision-making support for scenic area managers, including optimizing tourist flow, resource allocation, marketing strategy formulation and emergency response plans;

User terminals, which are windows for tourists to interact directly with the system, include mobile phone apps and smart wearable devices, etc. They provide user-friendly interfaces and rich interactive functions, such as viewing virtual guide maps, obtaining real-time information, participating in interactive games, etc., and support personalized settings and customized services;

Among them, the data acquisition module, digital twin modeling module, interactive control module and data analysis module work together to realize the real-time collection, processing, analysis and display of scenic spot data, as well as real-time interaction between tourists and virtual landscapes, providing tourists with an immersive tourism experience and providing scenic spot managers with efficient operation and management means.

Based on the above technical solution, the present invention can also be improved as follows.

Furthermore, the data acquisition module also includes multi-source data fusion, which can integrate data from different sources, such as GPS positioning data, Wi-Fi probe data, Bluetooth beacon data, environmental sensor data, video surveillance data, etc., to achieve seamless fusion of multi-source data to provide more comprehensive and accurate scenic spot information. It can also efficiently process real-time data streams, including real-time data collection, transmission, storage and preliminary analysis, to ensure that the system can quickly respond to and handle dynamic changes in the scenic area.

Furthermore, the digital twin modeling module integrates 3DGIS and BIM technology to build a high-precision, dynamically updated digital twin model of the scenic area. The module includes the following steps:

First, using 3DGIS technology, we build a topographic model of the scenic area through multi-source geospatial data such as topographic maps, satellite images, and drone aerial photography data, and accurately restore the natural geographical environment of the scenic area, including static information such as mountains, lakes, and vegetation distribution;

Next, by integrating BIM technology, a detailed geometric model and attribute database are constructed for each building, bridge, road and other infrastructure in the scenic area, and the structure, material, construction information and functional layout of the building are recorded in detail to ensure a high degree of simulation of the building layout. In addition, the digital twin modeling module also integrates real-time data acquisition and processing technology. Through IoT sensors, video surveillance, environmental monitoring stations and other equipment, it captures and processes environmental parameters such as temperature, humidity, light intensity, tourist distribution density, equipment operation status and other dynamic data in real time to achieve real-time mapping and updating of the physical environment of the scenic area. This module uses advanced rendering technology and physical engines to simulate the model's real physical environment such as light and shadow effects, material texture, weather changes, etc., and supports the presentation of natural phenomena such as day and night alternation and seasonal changes, as well as dynamic interactive scenes such as tourist behavior simulation and equipment failure warning.

Finally, the digital twin modeling module supports multi-scale observation and analysis functions. Users can adjust the viewing angle and zoom ratio as needed to observe the scenic spot from macro to micro. At the same time, it provides data analysis tools to support quantitative evaluation of key indicators such as tourist flow, equipment efficiency, and environmental quality.

Furthermore, the interactive control module serves as a bridge between the user and the digital twin model, wherein the interactive control module has multi-channel input processing capabilities and can receive a variety of interactive commands from different user terminals such as smart phones, tablets, VR devices, etc., including but not limited to gesture recognition, touch operation, voice control, and somatosensory interaction, etc., to ensure that users can interact with the digital twin model in the most natural and convenient way. Secondly, it also has a built-in efficient command parsing engine that can quickly and accurately parse the interactive commands input by the user and convert them into operation commands recognizable by the digital twin model. In terms of driving changes in the digital twin model, the interactive control module can respond to the parsed commands in real time, and drive the virtual elements in the model, such as buildings, landscapes, and tourist characters, to perform corresponding position movements, perspective switching, state changes, etc., to create an immersive interactive experience. At the same time, the module also supports multi-user concurrent interaction, ensuring that multiple users can participate in the interaction at the same time and jointly explore the virtual world in the digital twin model.

Furthermore, the data analysis module also integrates an advanced big data processing framework, which can process massive amounts of data from multiple sources and heterogeneity, including tourist behavior data, equipment operation status data, environmental parameter data, etc., to ensure the real-time and accuracy of data processing. In terms of deep data mining, the module uses machine learning algorithms and statistical models to conduct in-depth analysis of key indicators such as tourist flow, distribution patterns, and movement trajectories, revealing the laws and trends behind them, and identifying the common characteristics and preferences of tourist groups through methods such as cluster analysis and association rule mining, providing data support for personalized services. At the same time, the data analysis module also has a strong predictive ability, which can be based on historical data and real-time data. According to the data, time series analysis, machine learning prediction models and other technical means are used to accurately predict tourist flows, hot spots, etc. in the future. These prediction results are crucial for scenic area managers, helping them to formulate response strategies in advance, optimize resource allocation, and avoid congestion and safety hazards. In terms of decision support, the data analysis module presents the analysis results to scenic area managers in an intuitive and easy-to-understand manner, including but not limited to visual reports, trend charts, decision-making recommendations, etc. By comparing and analyzing the effect predictions under different strategies, managers can make more scientific and reasonable decisions, including tourist flow optimization, resource scheduling, marketing strategy adjustment, and emergency response plan formulation.

Furthermore, by integrating AR technology, the user terminal enables users to establish a seamless connection between the real world and the virtual three-dimensional map. For example, during the tour, users can scan specific marks or environments through the mobile phone camera, and directly overlay the virtual information of the three-dimensional map on the screen, such as the internal structure of the building, the layout of the underground pipe network, etc., to achieve an immersive exploration experience that integrates the virtual and the real. Secondly, the user terminal has added intelligent navigation and path planning functions. Based on GPS positioning technology and the precise information of the three-dimensional map, the system can provide users with real-time and accurate navigation guidance, including optimal route planning, avoiding congested areas, voice prompts, etc. At the same time, users can also customize navigation routes according to personal preferences and needs, such as choosing a scenic walking route or a driving route that avoids specific types of places. In addition, the user terminal also introduces social interaction and sharing functions. Users can take photos and record videos during the tour, attach geographic location information and personalized tags, and share them with friends through social media platforms. The system also supports real-time communication and location sharing between users, which facilitates mutual collaboration and search when traveling as a team.

Furthermore, the data analysis module can also automatically identify abnormal data, such as congestion in tourist-dense areas, sudden changes in environmental parameters such as fire, natural disaster warnings or equipment failures, and immediately trigger the early warning mechanism, sending alarms to relevant personnel through user terminals and management interfaces, and simultaneously initiating emergency response plans, such as evacuation guidance, resource allocation, etc.

(III) Beneficial effects

Compared with the prior art, the technical solution of this application has the following beneficial technical effects:

The data acquisition module in the present invention realizes the comprehensive, real-time and accurate collection of various data in the scenic area by integrating a variety of high-precision sensors and Internet of Things devices. The module not only covers the real-time location of tourists, environmental parameters and other key information, but also involves equipment status (and other details, ensuring the comprehensiveness and timeliness of the data. At the same time, the built-in data preprocessing functions, including data cleaning, denoising and compression, effectively remove noise data, reduce data redundancy, and provide a high-quality data source for subsequent processing, thereby significantly improving the accuracy and efficiency of data processing. Using advanced 3DGIS and BIM technologies, a highly sophisticated and dynamically updated digital twin model of the scenic area is constructed. The model not only contains static information such as topography, building layout, road network, etc., but also integrates real-time changing environmental parameters, tourist distribution, etc. , equipment status and other dynamic data, through advanced rendering technology and physical engine, it realizes the true reproduction of the physical environment of the scenic spot. In addition, the model supports multi-scale observation and analysis, which is convenient for users to deeply understand the situation of the scenic spot from different angles. More importantly, the model has the ability to dynamically update and expand, and can reflect the changes of various factors in the scenic spot in real time, ensuring the high consistency between the model and the actual situation, and providing tourists and managers with more accurate and intuitive information support. The interactive control module is the key to connecting tourists with the digital twin model. It provides a variety of interactive methods such as clicking, sliding, voice control, etc., to meet the diverse interactive needs of tourists. The module can receive interactive instructions from the user terminal, and parse and drive the virtual elements in the digital twin model to make corresponding changes, realizing real-time interaction between tourists and virtual landscapes. At the same time, the module also provides functions such as virtual tours, scenic spot introductions, navigation routes and personalized recommendations, providing tourists with a more convenient and personalized tourism service experience. The data analysis module, as the intelligent brain of the system, uses big data analysis and machine learning technology to conduct in-depth mining and intelligent analysis of the collected data. The module can monitor key indicators such as tourist flow, distribution, and movement trajectory in real time, predict passenger flow trends and hot spots, and provide strong data support for scenic area managers. At the same time, by analyzing tourist behavior patterns, preferences and needs, the module can also provide managers with decision-making support such as optimizing tourist flow lines, resource allocation, marketing strategy formulation and emergency response plans, which significantly improves the scientificity and accuracy of management decisions. The user terminal, as a window for direct interaction between tourists and the system, provides a friendly user interface The terminals not only support basic functions such as viewing virtual guide maps and obtaining real-time information, but also incorporate entertainment elements such as interactive games, which enhances the participation and satisfaction of tourists. At the same time, the terminals support personalized settings and customized services, and can provide personalized travel suggestions and services according to tourists' preferences and needs, further enhancing tourists' travel experience. In summary, the smart cultural and tourism digital twin interactive system of the present invention effectively solves the problems of inaccurate data collection, poor real-time performance, imperfect model construction, unintelligent interactive control, shallow data analysis and poor user terminal experience existing in the background technology through its unique technical features, providing tourists with a more convenient, efficient and personalized travel service experience, and at the same time providing scenic area managers with a more scientific and accurate operation and management means.

BRIEF DESCRIPTION OF THE DRAWINGS

FIG1 is a structural block diagram of a smart cultural tourism digital twin interactive system of the present invention.

DETAILED DESCRIPTION

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.

As shown in FIG1 , a smart cultural tourism digital twin interactive system of the present invention includes:

The data acquisition module collects various data in the scenic area in real time and accurately through a variety of sensors and IoT devices, including the real-time location of tourists, environmental parameters such as temperature and humidity, air quality, and light intensity, as well as equipment status such as parking lot vacancies, public facilities usage, and security monitoring video streams. It also has data pre-processing functions, including data cleaning, denoising, and compression, to ensure the efficiency and accuracy of subsequent processing;

The digital twin modeling module uses 3DGIS and BIM technology to build a highly sophisticated and dynamically updated digital twin model of the scenic spot, which includes static information such as topography, building layout, and road network, and integrates dynamic data such as real-time changing environmental parameters, visitor distribution, and equipment status. It uses advanced rendering technology and physical engine simulation to truly reproduce the physical environment of the scenic spot, supports multi-scale observation and analysis, and supports dynamic update and expansion of the model;

The interactive control module, as the key to connecting tourists and the digital twin model, receives interactive instructions from the user terminal, parses and drives the virtual elements in the digital twin model to make corresponding changes, provides functions such as virtual tours, scenic spot introductions, navigation routes and personalized recommendations, and supports multiple interactive methods such as clicking, sliding, and voice control;

The data analysis module, as the intelligent brain of the system, uses big data analysis and machine learning technology to conduct in-depth mining and intelligent analysis of the collected data, monitor the flow, distribution, movement trajectory of tourists in real time, predict passenger flow trends and hot spots, analyze tourist behavior patterns, preferences and needs, and provide decision-making support for scenic area managers, including optimizing tourist flow, resource allocation, marketing strategy formulation and emergency response plans;

User terminals, which are windows for tourists to interact directly with the system, include mobile phone apps and smart wearable devices, etc. They provide user-friendly interfaces and rich interactive functions, such as viewing virtual guide maps, obtaining real-time information, participating in interactive games, etc., and support personalized settings and customized services;

Among them, the data acquisition module, digital twin modeling module, interactive control module and data analysis module work together to realize the real-time collection, processing, analysis and display of scenic spot data, as well as real-time interaction between tourists and virtual landscapes, providing tourists with an immersive tourism experience and providing scenic spot managers with efficient operation and management means.

In a preferred embodiment of the present invention, it can be further configured as shown in FIG1 ; the data acquisition module also includes multi-source data fusion, which can integrate data from different sources, such as GPS positioning data, Wi-Fi probe data, Bluetooth beacon data, environmental sensor data, video surveillance data, etc., to achieve seamless fusion of multi-source data to provide more comprehensive and accurate scenic area information, wherein real-time data streams can also be efficiently processed, including real-time data collection, transmission, storage and preliminary analysis, to ensure that the system can quickly respond to and process dynamic changes in the scenic area. The multi-source data fusion function of the data acquisition module significantly enhances the system's data acquisition capability and information comprehensiveness, by integrating data from GPS positioning, Wi-Fi probes, Bluetooth beacons, environmental sensors and video surveillance data. The system can build a multi-dimensional and multi-level scenic spot data network by integrating data from multiple sources such as frequency monitoring. The seamless integration of multi-source data not only improves the accuracy and richness of the data, but also enables the system to capture more subtle and valuable information, such as tourist behavior patterns, subtle differences in environmental changes, etc. In addition, multi-source data integration also promotes the real-time and dynamic nature of data. The system can collect, transmit, store and preliminarily analyze these data streams in real time, ensuring a rapid response to dynamic changes in the scenic area. This efficient data processing capability enables the system to adjust and optimize its services in real time, such as adjusting navigation routes according to real-time tourist flow, or adjusting the use strategy of public facilities according to changes in environmental parameters, thereby providing tourists with a more personalized and considerate service experience;

In order to more intuitively demonstrate the effect of multi-source data fusion in practical applications, specific implementation examples can be cited. For example, in the smart cultural and tourism digital twin interactive system of a famous scenic spot, by integrating GPS positioning data, Wi-Fi probe data and video surveillance data, the system can track the flow of tourists in real time, and combine environmental sensor data (such as temperature, humidity, and air quality) to evaluate the comfort of tourists. When the system detects that the tourist density in a certain area is too high or the environmental comfort level decreases, it will immediately trigger the early warning mechanism, and push navigation suggestions to tourists through the interactive control module or remind scenic spot managers to take corresponding measures. This implementation example not only demonstrates the role of multi-source data fusion in improving tourist experience, but also reflects the system's intelligence level in scenic spot management.

In a preferred embodiment, the present invention can be further configured as shown in FIG1 ; the digital twin modeling module integrates 3DGIS and BIM technology to construct a high-precision, dynamically updated digital twin model of the scenic area, and the module includes the following steps:

First, using 3DGIS technology, we build a topographic model of the scenic area through multi-source geospatial data such as topographic maps, satellite images, and drone aerial photography data, and accurately restore the natural geographical environment of the scenic area, including static information such as mountains, lakes, and vegetation distribution;

Next, by integrating BIM technology, a detailed geometric model and attribute database are constructed for each building, bridge, road and other infrastructure in the scenic area, and the structure, material, construction information and functional layout of the building are recorded in detail to ensure a high degree of simulation of the building layout. In addition, the digital twin modeling module also integrates real-time data acquisition and processing technology. Through IoT sensors, video surveillance, environmental monitoring stations and other equipment, it captures and processes environmental parameters such as temperature, humidity, light intensity, tourist distribution density, equipment operation status and other dynamic data in real time to achieve real-time mapping and updating of the physical environment of the scenic area. This module uses advanced rendering technology and physical engines to simulate the model's real physical environment such as light and shadow effects, material texture, weather changes, etc., and supports the presentation of natural phenomena such as day and night alternation and seasonal changes, as well as dynamic interactive scenes such as tourist behavior simulation and equipment failure warning.

Finally, the digital twin modeling module supports multi-scale observation and analysis functions. Users can adjust the viewing angle and zoom ratio as needed to observe the scenic spot from macro to micro. At the same time, it provides data analysis tools to support quantitative evaluation of key indicators such as tourist flow, equipment efficiency, and environmental quality. The digital twin modeling module has brought unprecedented improvements to scenic spot management by integrating the innovative integration of 3DGIS and BIM technologies. First of all, the terrain model constructed using 3DGIS technology accurately restores the natural geographical environment of the scenic spot, providing tourists and managers with an intuitive and realistic visual experience. At the same time, the introduction of BIM technology enables the infrastructure in the scenic spot to be finely modeled, which not only improves the simulation degree of the model, but also facilitates subsequent data analysis and management. More importantly, the module integrates real-time data acquisition and processing technology, which can capture and process environmental parameters and tourist behavior in real time. Dynamic data realizes real-time mapping and updating of the physical environment of the scenic spot. This function greatly enhances the real-time and dynamic nature of the system, enabling managers to respond quickly to changes in the scenic spot and make scientific and reasonable decisions. In addition, the application of advanced rendering technology and physical engines further enhances the realism and interactivity of the model, supports the presentation of natural phenomena such as day and night alternation and seasonal changes, as well as dynamic interactive scenes such as tourist behavior simulation and equipment failure warning, providing tourists with a more immersive travel experience. Finally, the support of multi-scale observation and analysis functions enables users to adjust the viewing angle and zoom ratio as needed, and observe the scenic spot from macro to micro in an all-round way, improving the flexibility and efficiency of information acquisition. At the same time, the data analysis tools provided enable managers to conduct quantitative evaluations of key indicators such as tourist flow, equipment efficiency, and environmental quality, providing strong data support for scenic spot operation and management.

In order to more specifically demonstrate the application effect of the digital twin modeling module, examples of actual scenic spots can be cited. For example, in a large theme park, the digital twin model constructed by integrating 3DGIS and BIM technology not only accurately restores the park's topography and building layout, but also captures the flow trajectory of tourists and the operating status of equipment in real time. Through the model, managers can intuitively see the real-time situation of the park, adjust tourist flow lines in time, optimize equipment configuration, and predict and respond to potential congestion and failure problems. This example not only demonstrates the role of the digital twin modeling module in improving scenic spot management efficiency, but also reflects its value in enhancing tourist experience.

In a preferred embodiment of the present invention, the interactive control module can be further configured as follows: as shown in Figure 1; the interactive control module serves as a bridge between the user and the digital twin model, wherein the interactive control module has multi-channel input processing capabilities and can receive a variety of interactive instructions from different user terminals such as smart phones, tablet computers, VR devices, etc., including but not limited to gesture recognition, touch operation, voice control, and somatosensory interaction, etc., to ensure that the user can interact with the digital twin model in the most natural and convenient way. Secondly, an efficient instruction parsing engine is built in, which can quickly and accurately parse the interactive instructions input by the user and convert them into operation instructions recognizable by the digital twin model. In terms of driving changes in the digital twin model, the interactive control module can respond to the parsed instructions in real time, and drive the virtual elements in the model, such as buildings, landscapes, and tourist characters, to perform corresponding position movements, perspective switching, state changes, etc., to create an immersive interactive experience. At the same time, the module also supports concurrent multi-user interaction, ensuring that multiple users can participate in the interaction at the same time and jointly explore the virtual world in the digital twin model. The interactive control module serves as a bridge between the user and the digital twin model. The core bridge, its multi-channel input processing capability and efficient command parsing engine provide users with unprecedented flexibility and convenience. By supporting interactive commands from a variety of user terminals such as smartphones, tablets, VR devices, including gesture recognition, touch operation, voice control and somatosensory interaction, users can interact deeply with the digital twin model in the most natural and intuitive way. This diversified interaction method not only improves the user experience, but also broadens the application scenarios, so that different user groups can find an interaction method that suits them. The efficient command parsing engine ensures that the commands input by the user can be quickly and accurately converted into operation commands that can be recognized by the digital twin model, thereby realizing real-time control of the virtual elements in the model. This instant response capability greatly enhances the user's sense of immersion and participation, allowing users to explore the virtual world in an immersive way and experience interactive effects similar to the real world. In addition, the function of supporting multi-user concurrent interaction further enhances the interactivity and fun of the system. Multiple users can participate in the interaction at the same time, jointly create and change the appearance of the virtual world, and promote cooperation and communication between users.

In order to more specifically demonstrate the application effect of the interactive control module, the following embodiments can be cited: in the digital twin system of a smart tourist attraction, tourists enter the virtual scenic spot for sightseeing by wearing VR devices. They can use gesture recognition to control virtual characters to perform actions such as walking and jumping; use voice control to switch different tour routes or obtain introductions to scenic spots; and even use somatosensory interaction to simulate experience projects such as rock climbing and boating. At the same time, multiple tourists can meet in the same virtual space and explore the scenic spot together and enjoy the fun of teamwork. This embodiment not only demonstrates the role of the interactive control module in enhancing the tourist experience, but also reflects its potential in promoting interaction and cooperation between users.

In a preferred embodiment, the present invention can be further configured as shown in FIG1 ; the data analysis module also integrates an advanced big data processing framework, which can process massive data from multiple sources and heterogeneity, including tourist behavior data, equipment operation status data, environmental parameter data, etc., to ensure the real-time and accuracy of data processing. In terms of deep data mining, the module uses machine learning algorithms and statistical models to conduct in-depth analysis of key indicators such as tourist flow, distribution patterns, and movement trajectories, revealing the laws and trends behind them, and identifying the common characteristics and preferences of tourist groups through methods such as cluster analysis and association rule mining, providing data support for personalized services. At the same time, The data analysis module also has powerful prediction capabilities. It can accurately predict tourist flows and hot spots in the future based on historical data and real-time data, using time series analysis, machine learning prediction models and other technical means. These prediction results are crucial for scenic area managers, helping them to formulate response strategies in advance, optimize resource allocation, and avoid congestion and safety hazards. In terms of decision support, the data analysis module presents the analysis results to scenic area managers in an intuitive and easy-to-understand manner, including but not limited to visual reports, trend charts, decision-making suggestions, etc. By comparing and analyzing the effect predictions under different strategies, managers can make more scientific and appropriate decisions. It can make decisions on management, including optimizing tourist flow, resource scheduling, adjusting marketing strategies, and formulating emergency response plans. By integrating advanced big data processing frameworks and machine learning algorithms, it realizes efficient processing and deep mining of multi-source, heterogeneous massive data, providing scenic area managers with unprecedented data insights and decision-making support. First, its real-time and accurate data processing capabilities ensure that managers can keep abreast of the latest developments in scenic areas, including key information such as tourist behavior, equipment status, and environmental parameters, laying a solid foundation for rapid response and accurate decision-making. Secondly, in terms of deep data mining, through methods such as cluster analysis and association rule mining, the module can reveal It can show the patterns and trends behind tourist behaviors, identify the common characteristics and preferences of tourist groups, provide data support for personalized services for scenic spots, and enhance tourist experience and service quality. In addition, the powerful predictive ability enables managers to make accurate predictions on future tourist flows, hot spots, etc. based on historical data and real-time data, which helps to formulate response strategies in advance, optimize resource allocation, and effectively avoid congestion and safety hazards. Finally, the intuitive and easy-to-understand presentation of analysis results, such as visual reports, trend charts, and decision-making recommendations, greatly reduces the threshold for data analysis, allowing managers to easily understand the meaning behind the data and make more scientific and reasonable decisions.

In order to more specifically demonstrate the application effect of the data analysis module, the following embodiments can be cited: In a well-known tourist attraction, the data analysis module successfully identified popular tourist attractions and tour routes through in-depth analysis of data such as tourist flow, distribution patterns, and movement trajectories. Based on these analysis results, the scenic area manager formulated a tourist flow optimization plan in advance, and recommended non-popular but equally exciting attractions to tourists through the intelligent guide system during peak hours, effectively dispersing the flow of people and avoiding congestion. At the same time, by predicting the tourist flow in the future, the scenic area also adjusted resource scheduling in advance, such as increasing staff and setting up temporary ticket sales points, to ensure smooth visits by tourists. These measures not only enhance the tourist experience, but also improve the operational efficiency and management level of the scenic area.

In a preferred embodiment of the present invention, the present invention can be further configured as follows: As shown in FIG1 ; the user terminal integrates AR technology, so that the user can establish a seamless connection between the real world and the virtual three-dimensional map. For example, during the tour, the user can scan a specific mark or environment through the mobile phone camera, and directly overlay the virtual information of the three-dimensional map on the screen, such as the internal structure of the building, the layout of the underground pipe network, etc., to achieve an immersive exploration experience of virtual and real fusion. Secondly, the user terminal has added intelligent navigation and path planning functions. Based on GPS positioning technology and accurate information of the three-dimensional map, the system can provide users with real-time and accurate navigation guidance, including optimal route planning, avoiding congested areas, voice prompts, etc. At the same time, the user can also customize the navigation path according to personal preferences and needs, such as choosing a scenic walking route or a driving route that avoids specific types of places. In addition, the user terminal also introduces social interaction and sharing functions. Users can take photos and record videos during the tour, and attach geographic location information and personalized tags to share with friends through social media platforms. The system also supports real-time communication and location sharing between users, which is convenient for mutual collaboration and search when the team travels. By integrating AR technology, The intelligent navigation and route planning functions as well as the social interaction and sharing functions have brought users a new tour experience and management convenience. First, the application of AR technology has achieved a seamless connection between the real world and the virtual three-dimensional map, allowing users to directly observe virtual information such as the internal structure of the building and the layout of the underground pipeline network through the mobile phone screen during the tour. This immersive exploration experience of the fusion of virtual and real has greatly enriched the user's visual experience and enhanced the fun and interactivity of the tour. Secondly, the intelligent navigation and route planning functions are based on GPS positioning technology and the precise information of the three-dimensional map, providing users with real-time and accurate navigation guidance, which not only helps users find their destination quickly, but also plans the best route according to real-time traffic conditions, avoids congested areas, and improves travel efficiency. In addition, the function of user-defined navigation routes meets personalized needs, allowing users to choose the most suitable travel method according to their preferences and needs. Finally, the introduction of social interaction and sharing functions allows users to easily record and share what they see and feel during the tour, interact with friends, and enhance the social attributes of the tour. At the same time, it also provides convenient communication and location sharing tools for team travel, which promotes collaboration and cooperation among team members.

When users visit the ancient city through mobile terminals integrated with AR technology, they can scan specific marks on the city wall and see virtual information such as the history of the city wall and defense facilities directly on the screen, as if they have traveled through time and space back to the ancient times. At the same time, the intelligent navigation function plans a walking route that avoids congested roads and enjoys the scenery of the ancient city along the way based on the user's current location and destination. During the tour, users took many beautiful photos and shared them with friends through social media platforms, attaching detailed geographic location information and personalized travel experiences. In addition, team members also ensured close collaboration and smooth reunion through real-time communication and location sharing functions within the system. This embodiment fully demonstrated the remarkable effect of user terminals in improving the tour experience, promoting social interaction and providing personalized services.

In a preferred embodiment, the present invention can be further configured as follows: as shown in FIG1; the data analysis module can also automatically identify abnormal data, such as congestion in tourist-dense areas, sudden changes in environmental parameters such as fire, natural disaster warning or equipment failure, and immediately trigger the warning mechanism, send an alarm to relevant personnel through the user terminal and the management interface, and start the emergency response plan, such as evacuation guidance and resource allocation. The newly added function of the data analysis module to automatically identify abnormal data and trigger the warning mechanism has brought significant benefits and safety guarantees to the scenic area management. First, through real-time monitoring and intelligent analysis, this function can quickly identify the congestion in tourist-dense areas, issue warnings in time, and help scenic area managers effectively guide the flow of people and avoid the occurrence of safety accidents such as trampling. At the same time, for sudden changes in environmental parameters, such as fire, natural disasters and other potential dangers, the data analysis module can also respond quickly and issue warning signals in advance to gain valuable escape and response time for tourists and staff in the scenic area. In addition, when internal problems such as equipment failure are identified, the data analysis module can also trigger warnings, prompting the scenic area to quickly start the maintenance or replacement process to ensure the normal operation of the infrastructure. This automated early warning and response mechanism not only improves the efficiency and accuracy of scenic area management, but also significantly enhances the scenic area's security capabilities, providing tourists with a more secure and comfortable sightseeing environment.

The data analysis module successfully identified the congestion in the amusement facility area caused by too many tourists. The system immediately triggered the early warning mechanism, sent evacuation prompts to tourists through the user terminal, and sent emergency notifications to staff through the management interface. At the same time, according to the emergency response plan, the park quickly launched the visitor diversion process, added temporary ticket points and exit channels, and guided tourists to leave the congested area in an orderly manner. In addition, the data analysis module also monitors environmental parameters and equipment status in real time, promptly discovers and warns of a potential fire hazard, and effectively avoids the occurrence of fire accidents by taking timely fire-fighting measures and evacuating tourists. This example fully demonstrates the important role of the data analysis module in improving the management efficiency and safety assurance capabilities of scenic spots.

First, the data acquisition module uses a variety of high-precision sensors and IoT devices to capture various types of data in the scenic area in real time and accurately, including the real-time location of tourists, environmental parameters (such as temperature and humidity, air quality, light intensity) and equipment status (such as parking lot vacant spaces, public facilities usage, security monitoring video streams, etc.). These data are cleaned, denoised, compressed and other steps in the pre-processing module to ensure the efficiency and accuracy of subsequent processing, laying a solid foundation for subsequent digital twin modeling and data analysis. Then, the digital twin modeling module uses advanced 3DGIS and BIM technologies to combine static information such as topography, building layout, road network, etc. in the scenic area with dynamic data such as real-time changing environmental parameters, tourist distribution, equipment status, etc. to construct a digital twin modeling module. A highly sophisticated and dynamically updated digital twin model of the scenic spot has been created. Through advanced rendering technology and physical engines, the model simulates and realistically reproduces the physical environment of the scenic spot, supports multi-scale observation and analysis, and provides tourists and managers with an intuitive and comprehensive display of scenic spot information. At the same time, the dynamic update and expansion capabilities of the model ensure a high degree of consistency between the model and the actual situation, providing strong support for subsequent interactive control and data analysis. The interactive control module, as the key to connecting tourists with the digital twin model, is responsible for receiving interactive instructions from user terminals (such as mobile phone APPs, smart wearable devices, etc.) and parsing these instructions to drive the virtual elements in the digital twin model to make corresponding changes. Tourists can interact with the virtual landscape in real time through a variety of interactive methods such as clicking, sliding, and voice control. The system can interact with tourists in real time and enjoy services such as virtual tours, scenic spot introductions, navigation route planning and personalized recommendations. This immersive interactive experience has greatly improved tourists' travel satisfaction and participation. The data analysis module, as the intelligent brain of the system, uses big data analysis and machine learning technology to conduct in-depth mining and intelligent analysis of the collected data. Through real-time monitoring and analysis of key indicators such as tourist flow, distribution, and movement trajectory, the system can predict passenger flow trends and hot spots, and provide scenic area managers with decision-making support such as optimizing tourist flow lines, resource allocation, marketing strategy formulation, and emergency response plans. This data-based intelligent decision-making model has significantly improved the scientificity and accuracy of scenic area management. Finally, the user terminal serves as a window for direct interaction between tourists and the system, providing a friendly With a user interface and rich interactive functions, tourists can use these terminals to conveniently view virtual guide maps, obtain real-time information, participate in interactive games, etc., and make personalized settings and customized services according to personal preferences and needs. This tourist-centric design concept further enhances the tourists' sense of participation and satisfaction. In summary, the smart cultural and tourism digital twin interactive system of the present invention realizes the real-time collection, processing, analysis and display of scenic spot data, as well as real-time interaction between tourists and virtual landscapes through close collaboration of data collection, digital twin modeling, interactive control, data analysis and user terminals. This system not only provides tourists with an immersive travel experience, but also provides scenic spot managers with efficient operation and management means, promoting the intelligent transformation and high-quality development of the tourism industry.

It should be noted that, in this article, relational terms such as first and second, etc. are only used to distinguish one entity or operation from another entity or operation, and do not necessarily require or imply any such actual relationship or order between these entities or operations. Moreover, the terms "include", "comprise" or any other variants thereof are intended to cover non-exclusive inclusion, so that a process, method, article or device including a series of elements includes not only those elements, but also other elements not explicitly listed, or also includes elements inherent to such process, method, article or device. In the absence of further restrictions, the elements defined by the sentence "comprise a ..." do not exclude the existence of other identical elements in the process, method, article or device including the elements.

Although embodiments of the present invention have been shown and described, it will be appreciated by those skilled in the art that various changes, modifications, substitutions and variations may be made to the embodiments without departing from the principles and spirit of the present invention, and that the scope of the present invention is defined by the appended claims and their equivalents.

Claims (7)

1. A smart travel digital twin interactive system, the interactive system comprising:

The data acquisition module is used for accurately collecting various data in scenic spots in real time through various sensors and Internet of things equipment, wherein the data comprise real-time positions of tourists, environmental parameters such as temperature and humidity, air quality and illumination intensity, equipment states such as vacant parking spaces of a parking lot, use conditions of public facilities, safety monitoring video streams and the like; the method also has the data preprocessing function, including data cleaning, denoising and compression, so as to ensure the high efficiency and accuracy of subsequent processing;

The digital twin modeling module utilizes 3DGIS and BIM technologies to construct a highly-fine and dynamically updated scenic spot digital twin model, comprises static information such as topography, building layout, road network and the like, fuses dynamic data such as environmental parameters, guest distribution, equipment states and the like which change in real time, simulates a real reappearance scenic spot physical environment through an advanced rendering technology and a physical engine, supports multi-scale observation and analysis, and supports dynamic updating and expansion of the model;

The interaction control module is used as a key for connecting tourists with the digital twin model, receives interaction instructions from the user terminal, analyzes and drives virtual elements in the digital twin model to correspondingly change, provides functions of virtual navigation, scenic spot introduction, navigation route, personalized recommendation and the like, and supports various interaction modes such as clicking, sliding, voice control and the like;

The data analysis module is used as an intelligent brain of the system, and utilizes big data analysis and machine learning technology to carry out deep mining and intelligent analysis on the acquired data, monitor the flow, distribution, movement track and the like of tourists in real time, predict the trend of the passenger flow and hot spot areas, analyze the behavior mode, preference and demand of the tourists, and provide decision support for scenic spot managers, including optimizing the flow line of the tourists, resource allocation, marketing strategy formulation, emergency response scheme and the like;

The user terminal is used as a window for directly interacting with the system by tourists, comprises a mobile phone APP, intelligent wearing equipment and the like, provides friendly user interfaces and rich interaction functions, such as viewing a virtual navigation chart, acquiring real-time information, participating in an interactive game and the like, and supports personalized setting and customizing services;

The data acquisition module, the digital twin modeling module, the interaction control module and the data analysis module cooperate together to realize the real-time acquisition, processing, analysis and display of scenic spot data and the real-time interaction of tourists and virtual landscapes, provide immersive tourism experience for the tourists, and provide an efficient operation management means for scenic spot managers.

2. The intelligent travel digital twin interaction system of claim 1, wherein the data acquisition module further comprises a multi-source data fusion that integrates data from different sources, such as GPS positioning data, wi-Fi probe data, bluetooth beacon data, environmental sensor data, video surveillance data, etc., to enable seamless fusion of multi-source data to provide more comprehensive, accurate scenic spot information, wherein real-time data flows can also be processed efficiently, including real-time acquisition, transmission, storage and preliminary analysis of data, ensuring that the system can respond quickly and handle dynamic changes within the scenic spot.

3. The intelligent travel digital twin interactive system according to claim 1, wherein the digital twin modeling module constructs a high-precision, dynamically updated digital twin model of a scenic spot by integrating 3DGIS and BIM technologies, the module comprising the steps of:

Firstly, constructing a topography model of a scenic spot through multisource geospatial data such as a topography map, satellite images, unmanned aerial vehicle aerial photographing data and the like by utilizing a 3DGIS technology, and accurately restoring the natural geographic environment of the scenic spot, including static information such as mountain, lake, vegetation distribution and the like;

Then, building a fine geometric model and an attribute database aiming at each building, bridge, road and other infrastructure in a scenic spot by fusing BIM technology, recording the structure, materials, construction information and functional layout of the building in detail, ensuring the high simulation of the building layout, and in addition, integrating a real-time data acquisition and processing technology by a digital twin modeling module, capturing and processing dynamic data of environmental parameters such as temperature, humidity, illumination intensity, guest distribution density, equipment running state and the like in real time through equipment such as an Internet of things sensor, a video monitoring station and the like, realizing the real-time mapping and updating of the physical environment of the scenic spot, adopting an advanced rendering technology and a physical engine by the module, simulating the real physical environment such as light and shadow effect, material texture, weather change and the like, supporting the presentation of natural phenomena such as daily alternation, seasonal change and the like, and dynamic interaction scenes such as guest behavior simulation, equipment fault early warning and the like;

Finally, the digital twin modeling module supports multi-scale observation and analysis functions, a user can adjust the visual angle and the scaling according to the needs, and the user can observe scenic spots from macroscopic view to microscopic view in an all-dimensional manner, and meanwhile, a data analysis tool is provided, so that quantitative evaluation on key indexes such as tourist flow, equipment efficiency, environmental quality and the like is supported.

4. The intelligent travel digital twin interaction system according to claim 1, wherein the interaction control module is used as a bridge between a user and a digital twin model, wherein the interaction control module has multi-channel input processing capability, can receive diversified interaction instructions from different user terminals such as smart phones, tablet computers, VR devices and the like, comprises but not limited to gesture recognition, touch operation, voice control, somatosensory interaction and the like, ensures that the user can interact with the digital twin model in a most natural and convenient manner, and is further internally provided with a high-efficiency instruction analysis engine, can rapidly and accurately analyze the interaction instructions input by the user, convert the interaction instructions into operation instructions identifiable by the digital twin model, and can respond to the analyzed instructions in real time in driving the change of the digital twin model, and virtual elements in the driving model such as buildings, landscapes, guest roles and the like perform corresponding position movement, visual angle switching, state change and the like, so that an immersive interaction experience is created, meanwhile, the module also supports multi-user concurrent interaction, ensures that a plurality of users can participate in the same time, and the virtual world exploration in the digital twin model is commonly searched.

5. The intelligent text traveling digital twin interaction system according to claim 1, wherein the data analysis module further integrates an advanced big data processing framework, can process massive data from multiple sources and heterogeneous, including guest behavior data, equipment running state data, environment parameter data and the like, ensures the real-time performance and accuracy of data processing, in terms of data depth mining, the module utilizes a machine learning algorithm and a statistical model to carry out depth analysis on key indexes such as guest flow, distribution mode and movement track, reveals rules and trends behind the key indexes, identifies common features and preferences of guest groups through methods such as cluster analysis, association rule mining and the like, provides data support for personalized services, and meanwhile, the data analysis module further has strong prediction capability, can accurately predict guest flow, hot spot areas and the like in a future period by using technical means such as time sequence analysis and machine learning prediction model, is very important for scenic spot managers, facilitates policy making, optimizing configuration, and is easy to support, and can respond to a decision-making strategy by using a decision-making method such as a decision-making method, and a decision-making method such as a decision-making method is more reasonable than a decision-making method, and a decision-making method is more suitable for a decision-making and a decision-making method such as a decision-making method is more difficult to a decision-making method by a decision-making method, and a decision-making method is more difficult to be better by a decision-making method.

6. The intelligent text travel digital twin interactive system according to claim 1, wherein the user terminal is capable of establishing seamless connection between the real world and the virtual three-dimensional map through an integrated AR technology, for example, in a tour process, the user can scan a specific mark or environment through a mobile phone camera, directly superimpose and display virtual information of the three-dimensional map on a screen, such as a building internal structure, an underground pipe network layout and the like, so as to realize immersive exploration experience of virtual reality fusion, and secondly, the user terminal is additionally provided with an intelligent navigation and path planning function, based on a GPS positioning technology and accurate information of the three-dimensional map, the system can provide real-time and accurate navigation guidance for the user, including optimal route planning, avoidance of congestion areas, voice prompt and the like, and meanwhile, the user can also customize navigation paths according to personal preference and requirements, such as selecting a scenic walking route or avoiding a driving route of a specific type of place, in addition, the user terminal is further introduced with a social interaction and a social interaction function, the user can shoot photos, record videos, attach geographic position information and a geographic tag in the tour process, and support the system to share the user position with a social interaction platform and a social interaction platform in a social interaction, and a user can share the user in real-time and a personal interaction, and a team can conveniently share the user.

7. The intelligent travel digital twin interactive system according to claim 1, wherein the data analysis module is further capable of automatically identifying abnormal data such as congestion of tourist dense areas, abrupt changes of environmental parameters such as fire, natural disaster early warning or equipment failure, etc., and immediately triggering an early warning mechanism, sending an alarm to related personnel through a user terminal and a management interface, and simultaneously starting emergency response plans such as evacuation guidance, resource allocation, etc.