A night tour intelligent display system based on VR design

Abstract

The present invention relates to the field of virtual reality (VR), and in particular to a night tour intelligent display system based on VR design, comprising an environmental data acquisition module, a data processing module, a VR display module, a user data acquisition module, a central processing module, and an interaction module; the environmental data acquisition module is used to collect environmental data from various night tour locations, the data processing module is used to process the collected data, the interaction module is used to receive user instructions, the user data acquisition module is used to collect data from users using VR devices, the central processing module is used to calculate the user's mood index and determine the user's mood type, and then generate a recommended night tour route for the user, and the VR display module is used to display VR display images. This solution uses VR technology to generate night tour scenes, which facilitates users to experience activities at different night tour locations from a distance. At the same time, using VR technology to reproduce night tour locations is more intuitive than directly displaying images of night tour locations.

Description

Technical Field

[0001] The present invention relates to the VR field, and in particular to a night tour intelligent display system based on VR design. Background Art

[0002] In recent years, nighttime tourism has become a rising hotspot in the cultural tourism market, with visitors increasingly demanding immersive nighttime experiences. With the rapid development of artificial intelligence, the Internet of Things, and virtual reality technologies, display systems have been widely adopted in various nighttime tourism scenarios, providing personalized content presentation and interactive experiences.

[0003] For example, the prior art disclosed in CN114430604A discloses an immersive night tour monitoring and management system, which relates to the technical field of municipal street lights and aims to solve the problem of a large number of scattered street lights, making them difficult to maintain and manage. The key points of its technical solution are that it includes a single-light controller and a centralized controller. Each single-light controller is marked with a unique ID code. Multiple single-light controllers are grouped together. The centralized controller collects status data of the single-light controllers in groups. The single-light controllers and the centralized controller communicate and interconnect via a wireless communication module. The management system also includes a back-end management platform for acquiring and analyzing the centralized controller and issuing execution commands to control street lights. The back-end management platform is connected to a positioning information system to obtain the corresponding location information of the single-light controllers. The back-end management platform includes an operation interface for providing functions including query, fault reporting, and scheduling.

[0004] Another typical example is a cultural tourism night tour intelligent control system disclosed in the prior art CN116909180A, which is characterized by including performing arts equipment, a communication module, a main control module, and an execution module. The performing arts equipment is connected to the communication module and the execution module, and the main control module is connected to the communication module and the execution module. The communication module is used for performing communication level conversion and receiving and sending communication data at the interactive end of the main control module and the performing arts equipment. The execution module is used to receive the control signal of the main control module and control the switching state of the performing arts equipment.

[0005] Let's take a look at the prior art disclosed in CN118034143A, which is an integrated intelligent control system for smart night tours, including a night tour performance equipment registration terminal, an equipment night tour route acquisition terminal, a real-time information acquisition terminal along the route, an equipment working condition information acquisition terminal, an intelligent analysis terminal and an intelligent control terminal; the night tour performance equipment registration terminal is used to register equipment information; the equipment night tour route acquisition terminal is used to obtain night tour route information; the real-time information acquisition terminal along the route is used to retrieve real-time image information; the equipment working condition information acquisition terminal is used to obtain equipment working condition information; the intelligent analysis terminal is used to generate night tour speed control analysis information and night tour emergency control analysis information; the intelligent control terminal is used to perform night tour speed control and night tour emergency control on all night tour performance equipment during the night tour according to the night tour speed control analysis information and the night tour emergency control analysis information.

[0006] At present, the existing night tour display system has a low sense of immersion and cannot provide an immersive understanding of the night tour situation. In order to solve the common problems in this field, the present invention is made. Summary of the Invention

[0007] The purpose of the present invention is to propose a night tour intelligent display system based on VR design to address the current deficiencies.

[0008] In order to overcome the deficiencies of the prior art, the present invention adopts the following technical solutions:

[0009] A night tour intelligent display system based on VR design includes an environmental data acquisition module, a data processing module, a VR display module, a user data acquisition module, a central processing module and an interaction module; the environmental data acquisition module is used to collect environmental data of various night tour locations, the data processing module is used to process the data collected by the environmental data acquisition module, the interaction module is used to receive user instructions and send display instructions in the user instructions to the user data acquisition module, the interaction module is also used to send display content instructions in the user instructions to the VR display module, the user data acquisition module is used to collect user data using VR equipment according to the user's display instructions, the central processing module is used to calculate the user's mood index based on the collected user data and judge the user's mood type through the mood index, and then generate a recommended night tour route for the user, and the VR display module is used to display a VR display image according to the display content instruction, the data processed by the data processing module, and the recommended night tour route of the central processing module.

[0010] Furthermore, the data acquisition module includes a drone and a roadside camera. The drone includes a shooting unit. The roadside camera and the shooting unit are both used to capture images of different night tour areas. The roadside camera is provided with a sound detection unit, and the sound detection unit is used to detect the decibels of different night tour areas.

[0011] Furthermore, the VR display module includes a scene generation unit, a head-mounted display and a tracking unit. The scene generation unit includes a rendering engine and a special effects generator. The rendering engine is used to generate a virtual night tour scene based on the data processed by the data processing module. The special effects generator is used to generate special effects based on the processing results processed by the central processing module. The head-mounted display is used to display the content generated by the scene generation unit. The tracking unit is used to track the user's head movement and eye movement and adjust the display content of the head-mounted display according to the tracking results.

[0012] Furthermore, the interaction module includes a speech recognition unit and a VR controller, the speech recognition unit is used to recognize user voice, the VR controller is used to capture the user's hand and finger movements and map these movements to the VR space, the speech recognition unit includes a microphone array, a natural language processing unit and a sound data analysis unit, the microphone array is used to receive user voice, the natural language processing unit is used to convert the received voice into processable text data and generate corresponding voice commands, and the sound data analysis unit is used to analyze the user voice.

[0013] Furthermore, the user data acquisition module includes a heart rate detection unit, a skin conductance detection unit and a blood oxygen saturation detection unit. The heart rate detection unit is used to detect the user's heart rate, the skin conductance detection unit is used to detect the user's skin conductance, and the blood oxygen saturation detection unit is used to detect the user's blood oxygen saturation.

[0014] Furthermore, the central processing module includes an instruction receiving unit, a calculation unit, a judgment unit, a night tour route matching unit and a command generation unit. The instruction receiving unit is used to receive the voice command of the voice recognition unit and the user voice analysis result. The calculation unit is used to calculate the user's mood index based on the collected data of the user data collection module. The judgment unit is used to judge the user's mood type based on the mood index. The night tour route matching unit is used to match the night tour route that best suits the user based on the judgment result of the judgment unit. The command generation unit is used to generate corresponding image commands based on the matching results and send them to the VR display module.

[0015] Furthermore, the workflow of the system includes the following steps:

[0016] S1, the environmental data collection module collects environmental data of each night tour location.

[0017] S2, the data processing module processes the collected environmental data.

[0018] S3, the VR display module generates a VR display image based on the processed environmental data.

[0019] S4, the user requests to generate a night tour route through the interactive module.

[0020] S5, the user data collection module collects user data, and the central processing module generates a recommended night tour route based on the collected user data.

[0021] S6, the VR display module displays the route guidance effect on the displayed area map according to the generated recommended night tour route. Furthermore, the central processing module generates the recommended night tour route according to the collected user data, including the following steps:

[0022] S51, a calculation unit calculates the user's mood index based on the user data.

[0023] S52: The judgment unit judges the user's mood type according to the user mood index.

[0024] S53, the night tour route matching unit selects a night tour location suitable for the user according to the user's mood type, and generates a recommended night tour route based on the obtained night tour location.

[0025] S54, the command generation unit generates corresponding image commands according to the generated night tour route and sends them to the VR display module.

[0026] The beneficial effects achieved by the present invention are: 1. By adopting VR technology to generate night tour scenes, it is beneficial for users to experience activities in different night tour locations from a distance, thereby stimulating users' enthusiasm for participating in activities. At the same time, the use of VR technology to reproduce night tour locations is more intuitive and immersive than directly displaying images of night tour locations, avoiding unclear images caused by shooting at night.

[0027] 2. By calculating the user's mood index to judge the user's mood and recommending night tour routes based on the user's mood, it is conducive to meeting the user's night tour needs, improving the user's night tour experience, and improving the humanization of the system. BRIEF DESCRIPTION OF THE DRAWINGS

[0028] The present invention can be further understood from the following description in conjunction with the accompanying drawings. The components in the figures are not necessarily drawn to scale, but rather the emphasis is placed on illustrating the principles of the embodiments. In different views, the same reference numerals designate the same parts.

[0029] Figure 1 It is a structural schematic diagram of the present invention.

[0030] Figure 2 It is the workflow diagram of the present invention.

[0031] Figure 3 A flowchart for generating a recommended night tour route for the central processing module of the present invention.

[0032] Figure 4 This is a relationship diagram between the average frequency of the spectrum of the user input voice, the total duration of the user input voice, and the sound index of the present invention. DETAILED DESCRIPTION

[0033] The following is an explanation of the embodiments of the present invention through specific embodiments. Those skilled in the art can understand the advantages and effects of the present invention from the contents disclosed in this specification. The present invention can be implemented or applied through other different specific embodiments, and the details in this specification can also be modified and changed in various ways based on different viewpoints and applications without departing from the spirit of the present invention. In addition, the drawings of the present invention are only simple schematic illustrations and are not depicted in actual size. It is stated in advance. The following embodiments will further explain the relevant technical content of the present invention in detail, but the disclosed content is not intended to limit the scope of protection of the present invention.

[0034] Example 1: According to Figure 1 、 Figure 2 、 Figure 3 and Figure 4 This embodiment provides a VR-based night tour intelligent display system, comprising an environmental data collection module, a data processing module, a VR display module, a user data collection module, a central processing module, and an interaction module. The environmental data collection module is configured to collect environmental data from various night tour locations. The data processing module is configured to process the data collected by the environmental data collection module. The interaction module is configured to receive user instructions and send display instructions within the user instructions to the user data collection module. The interaction module is further configured to send display content instructions within the user instructions to the VR display module. The user data collection module is configured to collect user data using VR devices based on the user display instructions. The central processing module is configured to calculate the user's mood index based on the collected user data and determine the user's mood type based on the mood index, thereby generating a recommended night tour route for the user. The VR display module is configured to display a VR display image based on the display content instructions, the data processed by the data processing module, and the recommended night tour route from the central processing module. The display instructions include instructions indicating the need to display the recommended night tour route, and the display content instructions include instructions for displaying specific content.

[0035] Furthermore, the data acquisition module includes a drone and a roadside camera. The drone includes a shooting unit. The roadside camera and the shooting unit are both used to capture images of different night tour areas. The roadside camera is provided with a sound detection unit, and the sound detection unit is used to detect the decibels of different night tour areas.

[0036] Specifically, the data processing module includes a data cleaning and integration unit for performing noise reduction, format conversion and integration on the collected data.

[0037] Furthermore, the VR display module includes a scene generation unit, a head-mounted display and a tracking unit. The scene generation unit includes a rendering engine and a special effects generator. The rendering engine is used to generate a virtual night tour scene based on the data processed by the data processing module. The special effects generator is used to generate special effects based on the processing results processed by the central processing module. The head-mounted display is used to display the content generated by the scene generation unit. The tracking unit is used to track the user's head movement and eye movement and adjust the display content of the head-mounted display according to the tracking results.

[0038] Specifically, the rendering engine generates a virtual night tour scene through a real-time rendering engine such as Unity or Unreal Engine, and the tracking unit can perform head tracking through IMU and SLAM sensors, and perform eye tracking through the HMD's built-in infrared sensor.

[0039] Furthermore, the interaction module includes a speech recognition unit and a VR controller, the speech recognition unit is used to recognize user voice, the VR controller is used to capture the user's hand and finger movements and map these movements to the VR space, the speech recognition unit includes a microphone array, a natural language processing unit and a sound data analysis unit, the microphone array is used to receive user voice, the natural language processing unit is used to convert the received voice into processable text data and generate corresponding voice commands, and the sound data analysis unit is used to analyze the user voice.

[0040] Specifically, the VR controller may be Oculus Touch or HTC Vive Controller.

[0041] Furthermore, the user data acquisition module includes a heart rate detection unit, a skin conductance detection unit and a blood oxygen saturation detection unit. The heart rate detection unit is used to detect the user's heart rate, the skin conductance detection unit is used to detect the user's skin conductance, and the blood oxygen saturation detection unit is used to detect the user's blood oxygen saturation.

[0042] Specifically, the heart rate detection unit is arranged in a bracelet that matches the VR controller. The heart rate detection unit can be an electrode sensor, the skin conductance detection unit can be an electrode sheet integrated in the VR controller, and the blood oxygen saturation detection unit can be an infrared light optical sensor arranged in the head-mounted display.

[0043] Furthermore, the central processing module includes an instruction receiving unit, a calculation unit, a judgment unit, a night tour route matching unit and a command generation unit. The instruction receiving unit is used to receive the voice command of the voice recognition unit and the user voice analysis result. The calculation unit is used to calculate the user's mood index based on the collected data of the user data collection module. The judgment unit is used to judge the user's mood type based on the mood index. The night tour route matching unit is used to match the night tour route that best suits the user based on the judgment result of the judgment unit. The command generation unit is used to generate corresponding image commands based on the matching results and send them to the VR display module.

[0044] Furthermore, the workflow of the system includes the following steps:

[0045] S1, the environmental data collection module collects environmental data of each night tour location.

[0046] S2, the data processing module processes the collected environmental data.

[0047] S3, the VR display module generates a VR display image based on the processed environmental data.

[0048] S4, the user requests to generate a night tour route through the interactive module.

[0049] S5, the user data collection module collects user data, and the central processing module generates a recommended night tour route based on the collected user data.

[0050] S6, the VR display module displays a route guidance effect on the displayed area map according to the generated recommended night tour route.

[0051] Furthermore, the central processing module generates a recommended night tour route based on the collected user data, including the following steps:

[0052] S51, a calculation unit calculates a user's mood index based on the user data;

[0053] Specifically, the mood index can be calculated according to the following formula:

[0054]

[0055] Among them, XQZB is a mood index used to characterize the user's mood, V is a voice parameter, and the voice parameter is obtained by the voice data analysis unit. When the voice data analysis unit analyzes that the user's emotion is negative, the voice parameter is set to -1, and when the user's emotion is positive, the voice parameter is set to 1. Voice is a voice index used to characterize the user's excitement. The larger the index value, the more excited the user's voice is. LV is the user's average heart rate during the data collection process, lv is the reference heart rate in a calm state, and this value is generally set to 55. e is a natural constant, A is the number of moments experienced during the collection process, t is the time experienced at each collection moment, and LV a is the heart rate detected at the ath moment, LV a-1 is the heart rate detected at the a-1th moment, SPO is the user's average blood oxygen saturation during the collection process, GSR is the skin conductance parameter. The larger the skin conductance parameter is, the more excited the user is. When the acquired skin conductance is greater than 0 and less than or equal to 3, the skin conductance parameter is set to 1. When the acquired skin conductance range is greater than 3 and less than or equal to 7, the skin conductance parameter is set to 1.5. When the acquired skin conductance range is greater than 7, the skin conductance parameter is set to 2.

[0056] F is the average frequency of the spectrum of the user input speech, T is the total duration of the user input speech, and F(t) is the frequency of the user input speech at time t.

[0057] Specifically, the sound data analysis unit determines whether the user's emotion is positive or negative by using a speech data set labeled with emotion tags (such as EMO-DB, IEMOCAP).

[0058] like Figure 4 As shown, Figure 4 Assumption When the value of is 1000, the relationship between the average frequency of the spectrum of the user input voice, the total duration of the user input voice, and the sound indicators is shown in the figure.

[0059] The following is the code for calculating the mood index:

[0060]

[0061]

[0062] S52: The judgment unit judges the user's mood type according to the user mood index.

[0063] Specifically, when the value of XQZB is less than 0, the user's mood is considered to be negative; when the value of XQZB is between 0 and 1.5, the user's mood is considered to be calm; when the value of XQZB is between 1.5 and 2.5, the user's mood is considered to be happy; when the value of XQZB is above 2.5, the user's mood is considered to be excited.

[0064] S53, the night tour route matching unit selects a night tour location suitable for the user according to the user's mood type, and generates a recommended night tour route based on the obtained night tour location.

[0065] Specifically, when the user is in a negative or calm mood, the recommended night tour locations may be relatively quiet places such as river banks and natural parks; when the user is in a happy mood, the recommended night tour locations may be pedestrian streets or squares; when the user is in an excited mood, the recommended night tour locations may be night tour event sites; the night tour route matching unit obtains the shortest path that can pass through all night tour locations as the recommended night tour route through the shortest path algorithm.

[0066] S54, the command generation unit generates corresponding image commands according to the generated night tour route and sends them to the VR display module.

[0067] Specifically, the command generation unit encodes the route data into instructions according to a unified image command protocol, the VR display module decodes the instructions according to the image command protocol and generates special effects of the guidance route on the three-dimensional map through the scene generation unit, thereby displaying the recommended night tour route on the VR display module.

[0068] The beneficial effects of this solution are: 1. By using VR technology to generate night tour scenes, it is beneficial for users to experience activities in different night tour locations from a distance, thereby stimulating users' enthusiasm for participating in activities. At the same time, using VR technology to reproduce night tour locations is more intuitive than directly displaying images of night tour locations, avoiding unclear images caused by shooting at night.

[0069] 2. By calculating the user's mood index to judge the user's mood and recommending night tour routes based on the user's mood, it is conducive to meeting the user's night tour needs, improving the user's night tour experience, and improving the humanization of the system.

[0070] Embodiment 2: This embodiment should be understood to include all the features of any of the aforementioned embodiments and further improve upon them, further comprising a method for classifying night tour locations, for classifying different night tour locations and matching them with different types of user moods. The central processing module further comprises a night tour location analysis unit, which is configured to perform image recognition on captured images and analyze the liveliness index of the night tour locations. The classification method is implemented by the following steps:

[0071] The lively index of different night tour locations at a certain time is calculated according to the following formula:

[0072]

[0073] Among them, RNZB is the bustling index. The larger the index, the busier the night tour location. R is the floor space of the night tour location where people can stand. This floor space is the inherent floor space of the building and can be obtained in advance by those skilled in the art based on architectural drawings or maps. num is the current number of people at the night tour location. r is the estimated floor space per person, which can be set to 0.25m 2 , D max D is the maximum decibel level ever detected at a night tour location. ain is the minimum decibel value ever detected at the night tour location, D is the current decibel value detected at the night tour location, LIGHT is the light index. The larger the index, the more lively the atmosphere of the night tour location. B is the number of landscapes included in the night tour location, C b is the landscape weight of the b-th landscape at the night tour location, CS b is the area occupied by the landscape weight of the bth landscape at the night tour location; P is the number of images taken at the night tour location, L is the number of colors of the lights at the night tour location, PX pl Q is the ratio of the number of pixels containing the lth type of light in the pth captured image of the night tour location to the total number of pixels in the image, l is the liveliness coefficient of the lth light.

[0074] The following are the liveliness coefficients corresponding to various colors: mixed colors 1.7, red 1.5, orange 1.3, yellow 1.1, white 1.0, purple 0.8, green 0.7, blue 0.5.

[0075] Specifically, when there is only one captured image:

[0076]

[0077] Among them, LIGHT is the lighting index, L is the number of colors of lights at night tour locations, PX l For PX pl Q is the ratio of the number of pixels containing the lth type of light in the image taken at the night tour location to the total number of pixels in the image, l is the liveliness coefficient of the lth light.

[0078] Specifically, different colors can be distinguished by the HSV hue range.

[0079] Specifically, the landscape weights of different landscapes are set between 0 and 1 by those skilled in the art based on experience. The more lively the landscape is, the greater its landscape weight. For example, landscapes can be classified into natural scenery and man-made objects. The landscape weight of natural scenery can be set to 0.4, and the landscape weight of man-made objects can be set to 0.8.

[0080] Specifically, when the value of the liveliness index is less than 0.3, the night tour location is recommended for users with a negative or calm mood; when the value of the liveliness index is greater than or equal to 0.3 and less than or equal to 0.6, the night tour location is recommended for users with a happy mood; when the value of the liveliness index is greater than 0.6, the night tour location is recommended for users with an excited mood.

[0081] The beneficial effects of this embodiment are as follows: by setting a liveliness index to judge the liveliness of different night tour locations, it is helpful to recommend different night tour locations to users with different moods according to the liveliness, and it is helpful to distinguish the liveliness of the same type of night tour locations, providing users with more humane recommendations.

[0082] The above disclosure is only a preferred embodiment of the present invention and does not limit the scope of protection of the present invention. Therefore, any equivalent technical changes made by using the contents of the present invention and the drawings are included in the scope of protection of the present invention. In addition, as technology develops, the elements therein may be updated. The above units are only examples. Those skilled in the art can make different designs and adopt corresponding units according to actual needs when implementing this solution.

Claims

1. A night tour intelligent display system based on VR design, characterized in that: It includes an environmental data acquisition module, a data processing module, a VR display module, a user data acquisition module, a central processing module and an interaction module; the environmental data acquisition module is used to collect environmental data of various night tour locations, the data processing module is used to process the data collected by the environmental data acquisition module, the interaction module is used to receive user instructions and send display instructions in the user instructions to the user data acquisition module, the interaction module is further used to send display content instructions in the user instructions to the VR display module, the user data acquisition module is used to collect user data using VR devices according to the user's display instructions, the central processing module is used to calculate the user's mood index based on the collected user data and determine the user's mood type through the mood index, and then generate a recommended night tour route for the user, and the VR display module is used to display a VR display image based on the display content instruction, the data processed by the data processing module, and the recommended night tour route of the central processing module; The central processing module includes an instruction receiving unit, a calculation unit, a judgment unit, a night tour route matching unit and a command generation unit. The instruction receiving unit is used to receive the voice command and the user voice analysis result of the voice recognition unit. The calculation unit is used to calculate the user's mood index based on the data collected by the user data collection module. The judgment unit is used to judge the user's mood type based on the mood index. The night tour route matching unit is used to match the night tour route that best suits the user based on the judgment result of the judgment unit. The command generation unit is used to generate a corresponding image command based on the matching result and send it to the VR display module. The workflow of the system includes the following steps: S1, the environmental data collection module collects environmental data of each night tour location; S2, the data processing module processes the collected environmental data; S3, the VR display module generates a VR display image based on the processed environmental data; S4, the user requests to generate a night tour route through the interactive module; S5, the user data collection module collects user data, and the central processing module generates a recommended night tour route based on the collected user data; S6, the VR display module displays a route guidance effect on the displayed area map according to the generated recommended night tour route; The central processing module generates a recommended night tour route based on the collected user data, including the following steps: S51, a calculation unit calculates a user's mood index based on the user data; S52, the judgment unit judges the user's mood type according to the user mood index; S53, the night tour route matching unit selects a night tour location suitable for the user according to the user's mood type, and generates a recommended night tour route based on the obtained night tour location; S54, the command generation unit generates a corresponding image command according to the generated night tour route and sends it to the VR display module; The system's workflow also includes a night tour location classification method, which is used to classify different night tour locations and match them with different types of user moods; The central processing module further includes a night tour location analysis unit, which is used to perform image recognition on the captured images and analyze the liveliness index of the night tour locations. The classification method is implemented by the following steps: The lively index of different night tour locations at a certain time is calculated according to the following formula: ； ； Among them, RNZB is the bustling index. The larger the index, the busier the night tour location. R is the floor space of the night tour location where people can stand. This floor space is the inherent floor space of the building and is obtained in advance by those skilled in the art based on architectural drawings or maps. num is the current number of people at the night tour location. r is the estimated floor space per person, which is set to 0.

25. , This is the maximum decibel level ever detected at a night tour location. is the minimum decibel value ever detected at the night tour location, D is the current decibel value detected at the night tour location, LIGHT is the lighting index. The larger the index, the more lively the atmosphere of the night tour location. B is the number of landscapes included in the night tour location. is the landscape weight of the b-th landscape at the night tour location, is the area occupied by the landscape weight of the bth landscape at the night tour location; P is the number of images taken at the night tour location, L is the number of colors of the lights at the night tour location, is the ratio of the number of pixels containing the lth type of light in the pth captured image of the night tour location to the total number of pixels in the image, is the liveliness coefficient of the lth light.

2. The night tour intelligent display system based on VR design according to claim 1 is characterized in that: The data acquisition module includes a drone and a roadside camera. The drone includes a shooting unit. The roadside camera and the shooting unit are both used to capture images of different night tour areas. The roadside camera is provided with a sound detection unit, which is used to detect the decibels in different night tour areas.

3. The night tour intelligent display system based on VR design according to claim 2 is characterized in that: The VR display module includes a scene generation unit, a head-mounted display and a tracking unit. The scene generation unit includes a rendering engine and a special effects generator. The rendering engine is used to generate a virtual night tour scene based on the data processed by the data processing module. The special effects generator is used to generate special effects based on the processing results processed by the central processing module. The head-mounted display is used to display the content generated by the scene generation unit. The tracking unit is used to track the user's head movement and eye movement and adjust the display content of the head-mounted display according to the tracking results.

4. The night tour intelligent display system based on VR design according to claim 3 is characterized in that: The interaction module includes a speech recognition unit and a VR controller. The speech recognition unit is used to recognize user speech. The VR controller is used to capture the user's hand and finger movements and map these movements to the VR space. The speech recognition unit includes a microphone array, a natural language processing unit and a sound data analysis unit. The microphone array is used to receive user speech. The natural language processing unit is used to convert the received speech into processable text data and generate corresponding voice commands. The sound data analysis unit is used to analyze the user speech.

5. The night tour intelligent display system based on VR design according to claim 4 is characterized in that: The user data acquisition module includes a heart rate detection unit, a skin conductance detection unit and a blood oxygen saturation detection unit. The heart rate detection unit is used to detect the user's heart rate, the skin conductance detection unit is used to detect the user's skin conductance, and the blood oxygen saturation detection unit is used to detect the user's blood oxygen saturation.

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