CN117707342A - Virtual reality tourism experience system - Google Patents

Virtual reality tourism experience system Download PDF

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Publication number
CN117707342A
CN117707342A CN202410162525.9A CN202410162525A CN117707342A CN 117707342 A CN117707342 A CN 117707342A CN 202410162525 A CN202410162525 A CN 202410162525A CN 117707342 A CN117707342 A CN 117707342A
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comfort level
scenic spot
data
target
virtual reality
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CN117707342B (en
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史习雯
白颢
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Jiangsu Jinyu Information Technology Co ltd
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Jiangsu Jinyu Information Technology Co ltd
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Abstract

The invention relates to the technical field of virtual reality experience, and discloses a virtual reality travel experience system; establishing a scenic spot virtual scene in combination with a virtual reality technology, marking target scenic spots in the scenic spot virtual scene, generating a comfort level evaluation coefficient, comparing the comfort level evaluation coefficient with a preset comfort level evaluation threshold value, generating a comfort level and target scenic spot ranking list, and obtaining a travel experience recommendation list; according to the invention, the actual data of the tourist attraction is constructed into the attraction virtual scene through the virtual reality technology, the comfortableness of different target attractions is evaluated and calculated in the attraction virtual scene, and the high-low results corresponding to the comfortableness of different target attractions are obtained, so that an accurate selection basis of the target attractions can be provided for a user, a target attraction list of virtual reality tourist experience is generated, the hiking time of the user in the attraction virtual scene is reduced, the experience fatigue of the user is reduced, and the virtual reality tourist experience comfortableness is greatly improved.

Description

Virtual reality tourism experience system
Technical Field
The invention relates to the technical field of virtual reality experience, in particular to a virtual reality travel experience system.
Background
Virtual reality tourism is to build a virtual three-dimensional tourism environment by using virtual reality technology and simulating or super-realistic scene on the basis of real tourism landscape, so that the scene beautiful outside ten thousand can be seen in the three-dimensional virtual environment without going out, the image is lifelike, fine and vivid, and further, the tourism experience effect with high quality and high comfort level is provided for people.
The Chinese patent with the application publication number of CN110989837A discloses a virtual reality system for the cruise experience, combines the cruise reality technology with the virtual reality technology, creates an information environment which enables a user to be immersed and experienced and operable and realizes man-machine interaction, enables the user to carry out travel experience, cruise teaching and staff education training by means of a cruise virtual reality platform, greatly reduces the cost of the cruise front-end business and improves the cruise experience impression;
the prior art has the following defects:
the existing virtual reality travel experience system is used for guiding all scenic spots of a real travel scenic spot into a virtual scene in a moving mode, so that the user needs to face and experience more scenic spots in the virtual scene, experience comfort level brought by different scenic spots cannot be accurately judged, a scenic spot list with high comfort level cannot be provided for the user, hiking time of the user in the virtual scene cannot be reduced, and the experience comfort level of the virtual reality travel experience system is poor.
In view of the above, the present invention proposes a virtual reality travel experience system to solve the above-mentioned problems.
Disclosure of Invention
In order to overcome the defects in the prior art, the invention provides the following technical scheme for achieving the purposes: virtual reality tourism experience system is applied to virtual reality server, and the system includes:
the database is used for receiving and storing the data acquired by each data acquisition end in the tourist attraction;
the scenic spot data acquisition module is used for acquiring scenic spot data and environment data of the tourist attraction;
the virtual scene module is used for establishing a virtual scene of the scenic spot by combining a virtual reality technology based on the scenic spot data and the environment data and marking the virtual scene of the scenic spotTarget scenic spots;
user data acquisition module for acquiring user's presenceExperience data in individual target attractions based on +.>Individual test data, generate->A comfort assessment coefficient;
satisfaction evaluation module toComparing each comfort level evaluation coefficient with a preset comfort level evaluation threshold value to generateA comfort level;
and the experience recommendation module generates a target scenic spot list according to the comfort level, and generates a travel experience recommendation list based on the target scenic spot list.
Further, the sight spot data includes a sight spot view data, a building data, and a road data;
the environmental data includes weather data and season data.
Further, the method for establishing the virtual scene of the scenic spot comprises the following steps:
constructing a blank virtual scene through the tourist attraction contour map stored in the database;
the method comprises the steps of importing view point data, building data and road data in the current state of an actual tourist attraction into a blank virtual scene one by one to construct an initial virtual scene;
importing meteorological data and seasonal data in the current state of an actual tourist attraction into an initial virtual scene to construct an intermediate virtual scene;
and transmitting the intermediate virtual scene into the virtual platform through a virtual reality technology to obtain the scenic spot virtual scene.
Further, the marking method of the target scenic spot comprises the following steps:
will beThe related space of the view point is divided into +.>A sub-region;
consulting by databaseThe number of visitors and browsing time of the sub-area in the preset time period, obtain +.>Sub-browsing index;
the expression of the sub-browsing index is:
in the method, in the process of the invention,is->Landscape Point->Sub-view index of sub-region,/->Is->Landscape Point->The number of visitors in a sub-area +.>Is->Landscape Point->Browsing time of the sub-region;
will beAveraging after accumulating sub browsing indexes to obtain a browsing evaluation value;
the expression of the browsing evaluation value is:
in the method, in the process of the invention,is->Browsing evaluation value of individual view, +.>Is->No. 5 of view>Sub-browsing index;
will beThe browsing evaluation values are arranged in descending order, and are ranked as front +.>The view point corresponding to the browsing evaluation value of the bit is marked as the target view point.
Further, experience data includes respiratory rate ascent rate, heart rate ascent value, brain wave fluctuation amplitude, and muscle relaxation;
the method for acquiring the respiratory rate ramp rate comprises the following steps:
recording by a respiratory rate sensor worn at the chest of a userThe respiratory frequency at the moment is recorded as an initial frequency;
when the user passes through the target scenic spot, the breathing frequency of the user starts to increase until the breathing frequency is no longer changed, the breathing frequency which is no longer changed is recorded as the terminal frequency, and the breathing frequency moment which is no longer changed is recorded asTime;
comparing the terminal frequency with the initial frequency difference value, and then comparing withTime and->Comparing the time difference values to obtain the respiratory rate;
the expression of the respiratory rate ramp rate is:
in the method, in the process of the invention,is->Respiratory rate increase rate of individual target spots, < ->Is->Terminal frequency of individual target spots, +.>Is->Initial frequencies of the individual target attractions.
Further, the method for acquiring the heart rate rise value comprises the following steps:
acquiring an initial heart rate value when the target scenic spot is not passed through by a heart rate monitoring bracelet worn on the wrist;
when a user passes through a target scenic spot, acquiring a maximum heart rate value of the user;
comparing the maximum heart rate value with the initial heart rate value difference value to obtain a heart rate rising value;
the expression for the heart rate rise is:
in the method, in the process of the invention,is->Heart rate rise value of individual target spots, +.>Is->Maximum heart rate value of each target scenic spot, +.>Is->Initial heart rate values for the individual target attractions;
the method for acquiring the brain wave fluctuation amplitude comprises the following steps:
acquiring brain wave signals when the brain wave signals do not pass through a target scenic spot through a brain wave electrode sheet worn on the head of a user, and transmitting the brain wave signals to a brain wave instrument to acquire initial fluctuation peaks;
when a user passes through a target scenic spot, acquiring brain wave signals of the user, and transmitting the brain wave signals to a brain wave instrument to acquire a terminal fluctuation peak value;
comparing the terminal fluctuation peak value with the initial fluctuation peak value difference value to obtain brain wave fluctuation amplitude;
the expression of the brain wave fluctuation amplitude is:
in the method, in the process of the invention,is->Brain wave fluctuation amplitude of individual target scenic spots, < ->Is->Terminal fluctuation peak of individual target scenic spots, +.>Is->Initial fluctuation peak of each target sight.
Further, the comfort evaluation coefficient is expressed as:
in the method, in the process of the invention,is->Comfort evaluation coefficient of individual target scenic spots, < ->Is->Muscle relaxation of the individual target spots, which is monitored by sticking the electrode patch of the muscle relaxation monitoring instrument to the skin of the user's leg muscle, +.>、/>、/>、/>Is a weight factor.
Further, the comfort level includes a primary comfort level, a secondary comfort level, and a tertiary comfort level;
the method for generating the primary comfort level, the secondary comfort level and the tertiary comfort level comprises the following steps:
will beComfort evaluation coefficient->Is equal to a first predetermined comfort level evaluation threshold +.>And a second comfort evaluation threshold +.>One by one contrast (I/O)>Less than->
When (when)Less than->Generating three-level comfort level;
when (when)Less than or equal to->And->Less than->Generating a second comfort level when;
when (when)Is greater than->When a first level of comfort is generated.
Further, the method for generating the target scenic spot list comprises the following steps:
sequentially numbering the target scenic spot experience sequences corresponding to the primary comfort level and the secondary comfort level, and importing the numbers into a first row of a blank table;
arranging comfort level evaluation coefficients of target scenic spots corresponding to the first-level comfort level and the second-level comfort level in a descending order, and importing the arranged comfort level evaluation coefficients into a third row of a blank table;
and importing the comfort level into a second row of the blank table to generate a target scenic spot ranking list.
Further, the method for generating the travel experience recommendation list comprises the following steps:
marking the target scenic spot numbers corresponding to the first-level comfort level according to a comfort level evaluation coefficient descending order mode to form a first recommendation list;
marking the target scenic spot number corresponding to the second comfort level to form a second recommendation list;
and performing rank combination on the first recommendation list and the second recommendation list, wherein the rank of the first recommendation list is first, and the rank of the second recommendation list is second, so that the travel experience recommendation list is generated.
The virtual reality travel experience system has the technical effects and advantages that:
according to the invention, scenic spot data and environment data of a tourist attraction are obtained from a database, a virtual reality technology is combined to establish a scenic spot virtual scene, target scenic spots in the scenic spot virtual scene are marked, then experience data of users in the target scenic spots are collected, a comfort evaluation coefficient is generated, the comfort evaluation coefficient is compared with a preset comfort evaluation threshold value, a comfort level is generated, finally, a target scenic spot list is generated according to the comfort level, and a tourist experience recommendation list is generated based on the target scenic spot list, so that the optimal tourist experience effect of comfort level is recommended for the users.
Drawings
FIG. 1 is a schematic diagram of a virtual reality travel experience system provided in embodiment 1 of the present invention;
fig. 2 is a flow chart of a virtual reality travel experience method provided in embodiment 2 of the present invention.
Detailed Description
The following description of the embodiments of the present invention will be made clearly and completely with reference to the accompanying drawings, in which it is apparent that the embodiments described are only some embodiments of the present invention, but not all embodiments. All other embodiments, which can be made by those skilled in the art based on the embodiments of the invention without making any inventive effort, are intended to be within the scope of the invention.
Example 1: referring to fig. 1, the virtual reality travel experience system of the present embodiment is applied to a virtual reality server, and the system includes:
the database is used for receiving and storing the data acquired by each data acquisition end in the tourist attraction;
the data acquisition end is various electronic devices arranged in the tourist attraction and is used for acquiring tourist data of different types in the tourist attraction;
the data acquisition end comprises, but is not limited to, a people flow counter, a camera and an air image detector; the people flow counter is used for counting the number of people in the tourist attraction, the camera is used for collecting video picture data of the tourist attraction, and the weather detector is used for collecting weather data in the tourist attraction;
the scenic spot data acquisition module acquires comprehensive tourist data of a tourist attraction, wherein the comprehensive tourist data comprises scenic spot data and environment data;
when a user experiences a tourist attraction through a virtual reality tourist experience system, virtual simulation is needed to be carried out on the tourist attraction through a virtual reality technology, and before virtual simulation of the tourist attraction, all comprehensive data of the tourist attraction are acquired in advance, and a virtual scene corresponding to the tourist attraction is virtually simulated according to the acquired data;
the scenic spot data refer to various data contained in the scenic spot and are used for representing various historical conditions about the scenic spot in the scenic spot, and the scenic spot data comprise scenic spot view data, building data and road data;
the view point data indicates the geographic position of each view point in the tourist attraction, and the position information of each view point can be accurately identified by obtaining view point data; the building data are geographic positions of the buildings in the tourist attraction, and the position information of the buildings in the tourist attraction can be accurately identified by acquiring the building data; the road data is used for indicating the distribution trend of each road in the tourist attraction, and the distribution information of each road in the tourist attraction can be accurately identified by acquiring the road data; the view point data, the building data and the road data are all obtained through a database in the virtual reality server;
the environment data refers to external data not contained in the tourist attraction itself, and is used for representing various historical conditions about the environment of the tourist attraction in the tourist attraction, and the environment data comprises meteorological data and seasonal data;
the meteorological data are historical data showing that the tourist attraction is in different meteorological environments, and the real situation of the tourist attraction in different meteorological environments can be known by acquiring the meteorological data; the season data is historical data indicating that the tourist attraction is in different season time, and the real situation of the tourist attraction in different season time can be known by acquiring the season data; the meteorological data and the seasonal data are obtained through a database in the virtual reality server;
the virtual scene module is used for establishing a virtual scene of the scenic spot by combining a virtual reality technology based on the scenic spot data and the environment data and marking the virtual scene of the scenic spotTarget scenic spots;
the scenic spot virtual scene is simulated by a virtual reality technology, has a virtual world with the same structure and environment as the scenic spot, is presented in the virtual platform by virtual reality equipment, and can be interacted with the scenic spot virtual scene in the virtual platform by wearing the virtual reality equipment by a user;
the method for establishing the scenic spot virtual scene comprises the following steps:
constructing a blank virtual scene through the tourist attraction contour map stored in the database;
the method comprises the steps of importing view point data, building data and road data in the current state of an actual tourist attraction into a blank virtual scene one by one to construct an initial virtual scene;
importing meteorological data and seasonal data in the current state of an actual tourist attraction into an initial virtual scene to construct an intermediate virtual scene; by selecting the data conforming to the current state of the tourist attraction, the real-time tourist condition of the tourist attraction can be accurately simulated, and the synchronous adjustment of the attraction environment and the environment data can be realized with the tourist attraction, so that a user can be helped to experience the current scenery of the tourist attraction more truly, and the synchronous realistic effect of the virtual scenery of the attraction and the real tourist attraction is realized;
transmitting the intermediate virtual scene into a virtual platform through a virtual reality technology to obtain a scenic spot virtual scene;
the target scenic spot is a scenic spot with high attention of tourists in the tourist attraction, and the user can quickly and accurately know the positions of hot scenic spots in the virtual scene of the scenic spot by marking the target scenic spot, so that the hiking time of the user in the virtual scene of the scenic spot is reduced, the fatigue is reduced, and the comfort is improved;
the marking method of the target scenic spot comprises the following steps:
will beThe related space of the view point is divided into +.>A sub-region; the related space of the view point is the space in the view point and the safety view distance around the view point, when the related space of the view point is positioned in the related space of the view point, the view point can be safely and conveniently viewed, and the related space of the view point is obtained by actual mapping calculation of the view point according to the safety system of an actual tourist attraction;
consulting by databaseThe number of visitors and browsing time of the sub-area in the preset time period, obtain +.>Sub-browsing index; the preset time period is obtained by acquiring time interval values corresponding to a large number of historical tourist persons and browsing time and optimizing coefficients;
the expression of the sub-browsing index is:
in the method, in the process of the invention,is->Landscape Point->Sub-view index of sub-region,/->Is->Landscape Point->The number of visitors in a sub-area +.>Is->Landscape Point->Browsing time of the sub-region;
will beAveraging after accumulating sub browsing indexes to obtain a browsing evaluation value;
the expression of the browsing evaluation value is:
in the method, in the process of the invention,is->Browsing evaluation value of individual view, +.>Is->No. 5 of view>Sub-browsing index;
will beThe browsing evaluation values are arranged in descending order, and are ranked as front +.>The view point corresponding to the browsing evaluation value of the bit is marked as the target view point, < >>Less than or equal to->
User data acquisition module for acquiring user's presenceExperience data in individual target attractions based on +.>Individual test data, generate->A comfort assessment coefficient;
the experience data refers to comprehensive data generated when a user wears the virtual reality device and is matched with the scenic spot virtual scene to travel in the scenic spot virtual scene, and after the user wears the virtual reality device, the virtual reality device acquires physiological change data of the user in real time, so that the experience situation of the user in the scenic spot virtual scene is monitored and acquired;
experience data includes respiratory rate ramp rate, heart rate ramp value, brain wave fluctuation amplitude and muscle relaxation;
the respiratory rate increase rate refers to the increase amplitude of the respiratory rate in unit time when a user experiences in a virtual scenic spot scene, and when the respiratory rate increase rate is larger, the greater the stress response amplitude of the user in the scenic spot scene is, the smaller the comfort evaluation coefficient is;
the method for acquiring the respiratory rate ramp rate comprises the following steps:
recording by a respiratory rate sensor worn at the chest of a userThe respiratory frequency at the moment is recorded as an initial frequency;
when the user passes through the target scenic spot, the breathing frequency of the user starts to increase until the breathing frequency is no longer changed, the breathing frequency which is no longer changed is recorded as the terminal frequency, and the breathing frequency moment which is no longer changed is recorded asTime;
comparing the terminal frequency with the initial frequency difference value, and then comparing withTime and->Comparing the time difference values to obtain the respiratory rate;
the expression of the respiratory rate ramp rate is:
in the method, in the process of the invention,is->Respiratory rate increase rate of individual target spots, < ->Is->Terminal frequency of individual target spots, +.>Is->Initial frequencies of the target scenic spots;
the heart rate rising value refers to the rising amplitude of the heart rate of the user when the user experiences in the scenic spot virtual scene, and when the heart rate rising value is larger, the stress response amplitude of the user when the user experiences in the scenic spot virtual scene is larger, the comfort level evaluation coefficient is smaller;
the heart rate rise value acquisition method comprises the following steps:
acquiring an initial heart rate value when the target scenic spot is not passed through by a heart rate monitoring bracelet worn on the wrist;
when a user passes through a target scenic spot, acquiring a maximum heart rate value of the user;
comparing the maximum heart rate value with the initial heart rate value difference value to obtain a heart rate rising value;
the expression for the heart rate rise is:
in the method, in the process of the invention,is->Heart rate rise value of individual target spots, +.>Is->Maximum heart rate value of each target scenic spot, +.>Is->Initial heart rate values for the individual target attractions;
the brain wave fluctuation range refers to the variation range of brain wave peak values when a user experiences in a virtual scene of a scenic spot, and when the brain wave fluctuation range is larger, the stress response range of the user in the tourism experience is larger, the comfort evaluation coefficient is smaller;
the method for acquiring the brain wave fluctuation amplitude comprises the following steps:
acquiring brain wave signals when the brain wave signals do not pass through a target scenic spot through a brain wave electrode sheet worn on the head of a user, and transmitting the brain wave signals to a brain wave instrument to acquire initial fluctuation peaks;
when a user passes through a target scenic spot, acquiring brain wave signals of the user, and transmitting the brain wave signals to a brain wave instrument to acquire a terminal fluctuation peak value;
comparing the terminal fluctuation peak value with the initial fluctuation peak value difference value to obtain brain wave fluctuation amplitude;
the expression of the brain wave fluctuation amplitude is:
in the method, in the process of the invention,is->Brain wave fluctuation amplitude of individual target scenic spots, < ->Is->Terminal fluctuation peak of individual target scenic spots, +.>Is->Initial fluctuation peaks of the target scenic spots;
muscle relaxation refers to the relaxation degree of leg muscles when a user experiences in a virtual scene of a scenic spot, and when the muscle relaxation degree is larger, the smaller the stress change of the user in the travel experience is, the larger the comfort evaluation coefficient is; the muscle sag is obtained by sticking electrode patches of a muscle relaxation monitoring instrument on the skin of the leg muscles of a user for monitoring;
the comfort level evaluation coefficient refers to the comfort level of the user traveling experience in the scenic spot virtual scene, and the larger the comfort level evaluation coefficient is, the higher the comfort level of the user traveling experience in the scenic spot virtual scene is, and vice versa;
the expression of the comfort evaluation coefficient is:
in the method, in the process of the invention,is->Comfort evaluation coefficient of individual target scenic spots, < ->Is->Muscle relaxation of individual target spots, < ->、/>、/>、/>Is a weight factor; substituting the set weight factors and the acquired experience data into formulas, forming a quaternary once equation set by any four formulas, screening the calculated weight factors and taking an average value to obtain +.>、/>、/>、/>Average value of (a);
in addition, it should be noted that the size of the weight factor is a specific numerical value obtained by quantizing each data, so that the subsequent comparison is convenient, and the size of the weight factor depends on the amount of experience data and the person skilled in the art to initially set the corresponding weight factor for each group of experience data;
satisfaction evaluation module toComparing each comfort level evaluation coefficient with a preset comfort level evaluation threshold value to generateA comfort level;
the comfort level is used for evaluating the corresponding comfort level of the user when experiencing the target scenic spot, and different comfort levels represent the comfort level of the user for different target scenic spots;
the comfort level comprises a first comfort level, a second comfort level and a third comfort level, wherein the comfort level of the first comfort level is higher than the comfort level of the second comfort level, and the comfort level of the second comfort level is higher than the comfort level of the third comfort level;
the method for generating the primary comfort level, the secondary comfort level and the tertiary comfort level comprises the following steps:
will beComfort evaluation coefficient->Is equal to a first predetermined comfort level evaluation threshold +.>And a second comfort evaluation threshold +.>One by oneContrast, the->Less than->The method comprises the steps of carrying out a first treatment on the surface of the The first comfort level evaluation threshold and the second comfort level evaluation threshold are the basis for judging which comfort level the comfort level evaluation coefficient is at, and are obtained after coefficient optimization through collecting judgment thresholds corresponding to comfort levels to which a large number of comfort level evaluation coefficients of the history belong;
when (when)Less than->Description of the->The comfort level evaluation coefficient of the individual target scenic spots is smaller than the first comfort level evaluation threshold value, at which time the +.>The comfort level of each target scenic spot is low, and three-level comfort levels are generated;
when (when)Less than or equal to->And->Less than->Description of the->The comfort level evaluation coefficient of each target scenic spot is larger than or equal to the first comfort level evaluation threshold value and smaller than the second comfort level evaluation threshold value, and the comfort level evaluation coefficient is larger than or equal to the first comfort level evaluation threshold valueTime->Generating a second comfort level in the comfort level of each target scenic spot;
when (when)Is greater than->Description of the->The comfort level evaluation coefficient of the individual target scenic spots is larger than the second comfort level evaluation threshold value, at which time the +.>The comfort level of each target scenic spot is high, and a first-level comfort level is generated;
the experience recommendation module generates a target scenic spot ranking list according to the comfort level, and generates a travel experience recommendation list based on the target scenic spot ranking list;
the target scenic spot list is used for statistics and markingThe comfort evaluation coefficient and the comfort level of each target scenic spot can be intuitively known through the target scenic spot list>Related travel information of the individual target scenic spots;
the method for generating the target scenic spot list comprises the following steps:
sequentially numbering the target scenic spot experience sequences corresponding to the primary comfort level and the secondary comfort level, and importing the numbers into a first row of a blank table;
arranging comfort level evaluation coefficients of target scenic spots corresponding to the first-level comfort level and the second-level comfort level in a descending order, and importing the arranged comfort level evaluation coefficients into a third row of a blank table;
importing the comfort level into a second row of the blank table to generate a target scenic spot ranking list;
for example, the target scenic spot list is generated based on the method for generating the target scenic spot list, and details are shown in table 1:
TABLE 1
Target sight numbering 1 3 5 4 2
Comfort level First level comfort level First level comfort level First level comfort level Secondary comfort level Secondary comfort level
Comfort assessment coefficient 8.8 8.2 8.0 7.2 7.1
As can be seen from table 1, the comfort level evaluation coefficient of the target scenic spot with the number 1 is the highest, the comfort level evaluation coefficient of the target scenic spot with the number 2 is the lowest, and the comfort level of the target scenic spot with the number 2 is the lowest;
the method for generating the travel experience recommendation list comprises the following steps:
marking the target scenic spot numbers corresponding to the first-level comfort level according to a comfort level evaluation coefficient descending order mode to form a first recommendation list;
marking the target scenic spot number corresponding to the second comfort level to form a second recommendation list;
performing rank combination on the first recommendation list and the second recommendation list, wherein the rank of the first recommendation list is first, and the rank of the second recommendation list is second, so that a travel experience recommendation list is generated;
it should be noted that the travel experience recommendation list is a recommendation for giving the user a sequence of the target scenic spots in the travel scenic spot, the user can first perform virtual reality travel experience on the target scenic spot corresponding to the first recommendation list through the information in the travel experience recommendation list, then perform virtual reality travel experience on the target scenic spot corresponding to the second recommendation list, and then the optimal experience comfort effect of the virtual reality travel experience can be achieved, and further the virtual reality travel experience effect of the user is improved.
In this embodiment, scenic spot data and environment data of a tourist attraction are obtained from a database, a scenic spot virtual scene is established by combining a virtual reality technology, target scenic spots in the scenic spot virtual scene are marked, then experience data of users in the target scenic spot are collected, a comfort level is generated by comparing the comfort level evaluation coefficient with a preset comfort level evaluation threshold, finally a target scenic spot list is generated according to the comfort level, a tourist experience recommendation list is generated based on the target scenic spot list, so that the optimal tourist experience effect of comfort level is recommended for the users.
Example 2: referring to fig. 2, the details of embodiment 1 are not described in the detail of this embodiment, and a virtual reality travel experience method is provided, which is applied to a virtual reality server and implemented based on a virtual reality travel experience system, and the method includes:
s1: receiving and storing data acquired by each data acquisition end in the tourist attraction;
s2: collecting scenic spot data and environment data of a tourist attraction;
s3: based on the scenic spot data and the environment data, a scenic spot virtual scene is established by combining a virtual reality technology, and the scenic spot virtual scene is markedTarget scenic spots;
s4: collecting the user's presenceExperience data in individual target attractions based on +.>Individual test data, generate->A comfort assessment coefficient;
s5: will beThe individual comfort level evaluation coefficient is compared with a preset comfort level evaluation threshold value to generate +.>A comfort level;
s6: and generating a target scenic spot list according to the comfort level, and generating a travel experience recommendation list based on the target scenic spot list.
The foregoing is merely illustrative of the present invention, and the present invention is not limited thereto, and any person skilled in the art will readily recognize that variations or substitutions are within the scope of the present invention. Therefore, the protection scope of the present invention shall be subject to the protection scope of the claims.

Claims (10)

1. Virtual reality tourism experience system is applied to virtual reality server, and its characterized in that, the system includes:
the database is used for receiving and storing the data acquired by each data acquisition end in the tourist attraction;
the scenic spot data acquisition module is used for acquiring scenic spot data and environment data of the tourist attraction;
the virtual scene module is used for establishing a virtual scene of the scenic spot by combining a virtual reality technology based on the scenic spot data and the environment data and marking the virtual scene of the scenic spotTarget scenic spots;
user data acquisition module for acquiring user's presenceExperience data in individual target attractions based on +.>Individual test data, generate->A comfort assessment coefficient;
satisfaction evaluation module toThe individual comfort level evaluation coefficient is compared with a preset comfort level evaluation threshold value to generate +.>A comfort level;
and the experience recommendation module generates a target scenic spot list according to the comfort level, and generates a travel experience recommendation list based on the target scenic spot list.
2. The virtual reality travel experience system of claim 1, wherein the sight spot data comprises a view point data, a building data, and a road data;
the environmental data includes weather data and season data.
3. The virtual reality travel experience system of claim 2, wherein the method of creating the attraction virtual scene comprises:
constructing a blank virtual scene through the tourist attraction contour map stored in the database;
the method comprises the steps of importing view point data, building data and road data in the current state of an actual tourist attraction into a blank virtual scene one by one to construct an initial virtual scene;
importing meteorological data and seasonal data in the current state of an actual tourist attraction into an initial virtual scene to construct an intermediate virtual scene;
and transmitting the intermediate virtual scene into the virtual platform through a virtual reality technology to obtain the scenic spot virtual scene.
4. The virtual reality travel experience system of claim 3, wherein the target attraction marking method comprises:
will beThe related space of the view point is divided into +.>A sub-region;
consulting by databaseThe number of visitors and browsing time of the sub-area in the preset time period, obtain +.>Sub-browsing index;
the expression of the sub-browsing index is:
in the method, in the process of the invention,is->Landscape Point->Sub-view index of sub-region,/->Is->Landscape Point->The number of visitors in a sub-area +.>Is->Landscape Point->Browsing time of the sub-region;
will beAveraging after accumulating sub browsing indexes to obtain a browsing evaluation value;
the expression of the browsing evaluation value is:
in the method, in the process of the invention,is->Browsing evaluation value of individual view, +.>Is->No. 5 of view>Sub-browsing index;
will beThe browsing evaluation values are arranged in descending order, and are ranked as front +.>The view point corresponding to the browsing evaluation value of the bit is marked as the target view point.
5. The virtual reality travel experience system of claim 4, wherein the experience data comprises respiratory rate ramp rate, heart rate ramp value, brain wave fluctuation amplitude, and muscle relaxation;
the method for acquiring the respiratory rate ramp rate comprises the following steps:
recording by a respiratory rate sensor worn at the chest of a userThe respiratory frequency at the moment is recorded as an initial frequency;
when the user passes through the target scenic spot, the breathing frequency of the user starts to increase until the breathing frequency is no longer changed, the breathing frequency which is no longer changed is recorded as the terminal frequency, and the breathing frequency moment which is no longer changed is recorded asTime;
comparing the terminal frequency with the initial frequency difference value, and then comparing withTime and->Comparing the time difference values to obtain the respiratory rate;
the expression of the respiratory rate ramp rate is:
in the method, in the process of the invention,is->Respiratory rate increase rate of individual target spots, < ->Is->Terminal frequency of individual target spots, +.>Is->Of individual target spotsAn initial frequency.
6. The virtual reality travel experience system of claim 5, wherein the method of obtaining the heart rate boost value comprises:
acquiring an initial heart rate value when the target scenic spot is not passed through by a heart rate monitoring bracelet worn on the wrist;
when a user passes through a target scenic spot, acquiring a maximum heart rate value of the user;
comparing the maximum heart rate value with the initial heart rate value difference value to obtain a heart rate rising value;
the expression for the heart rate rise is:
in the method, in the process of the invention,is->Heart rate rise value of individual target spots, +.>Is->Maximum heart rate value of each target scenic spot, +.>Is->Initial heart rate values for the individual target attractions;
the method for acquiring the brain wave fluctuation amplitude comprises the following steps:
acquiring brain wave signals when the brain wave signals do not pass through a target scenic spot through a brain wave electrode sheet worn on the head of a user, and transmitting the brain wave signals to a brain wave instrument to acquire initial fluctuation peaks;
when a user passes through a target scenic spot, acquiring brain wave signals of the user, and transmitting the brain wave signals to a brain wave instrument to acquire a terminal fluctuation peak value;
comparing the terminal fluctuation peak value with the initial fluctuation peak value difference value to obtain brain wave fluctuation amplitude;
the expression of the brain wave fluctuation amplitude is:
in the method, in the process of the invention,is->Brain wave fluctuation amplitude of individual target scenic spots, < ->Is->Terminal fluctuation peak of individual target scenic spots, +.>Is->Initial fluctuation peak of each target sight.
7. The virtual reality travel experience system of claim 6, wherein the comfort assessment factor is expressed as:
in the method, in the process of the invention,is->Comfort evaluation coefficient of individual target scenic spots, < ->Is->Muscle relaxation of the individual target spots, which is monitored by sticking the electrode patch of the muscle relaxation monitoring instrument to the skin of the user's leg muscle, +.>、/>、/>、/>Is a weight factor.
8. The virtual reality travel experience system of claim 7, wherein the comfort levels comprise a primary comfort level, a secondary comfort level, and a tertiary comfort level;
the method for generating the primary comfort level, the secondary comfort level and the tertiary comfort level comprises the following steps:
will beComfort evaluation coefficient->Is equal to a first predetermined comfort level evaluation threshold +.>And a second comfort evaluation threshold +.>1. A contrast of->Less than->
When (when)Less than->Generating three-level comfort level;
when (when)Less than or equal to->And->Less than->Generating a second comfort level when;
when (when)Is greater than->When a first level of comfort is generated.
9. The virtual reality travel experience system of claim 8, wherein the method of generating the target sight schedule comprises:
sequentially numbering the target scenic spot experience sequences corresponding to the primary comfort level and the secondary comfort level, and importing the numbers into a first row of a blank table;
arranging comfort level evaluation coefficients of target scenic spots corresponding to the first-level comfort level and the second-level comfort level in a descending order, and importing the arranged comfort level evaluation coefficients into a third row of a blank table;
and importing the comfort level into a second row of the blank table to generate a target scenic spot ranking list.
10. The virtual reality travel experience system of claim 9, wherein the method of generating the travel experience recommendation list comprises:
marking the target scenic spot numbers corresponding to the first-level comfort level according to a comfort level evaluation coefficient descending order mode to form a first recommendation list;
marking the target scenic spot number corresponding to the second comfort level to form a second recommendation list;
and performing rank combination on the first recommendation list and the second recommendation list, wherein the rank of the first recommendation list is first, and the rank of the second recommendation list is second, so that the travel experience recommendation list is generated.
CN202410162525.9A 2024-02-05 2024-02-05 Virtual reality tourism experience system Active CN117707342B (en)

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Citations (6)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN106648045A (en) * 2016-08-04 2017-05-10 德胜国际科技有限公司 Virtual reality technology-based real-time travel experience system
CN106780185A (en) * 2017-01-13 2017-05-31 厦门轻游信息科技有限公司 A kind of intelligent tourism system based on VR equipment
KR20180044653A (en) * 2016-10-24 2018-05-03 주식회사 웰스텍 System for experiencing tour by V.R and for servicing tour plan
WO2018120708A1 (en) * 2016-12-29 2018-07-05 深圳前海弘稼科技有限公司 Method and apparatus for virtual tour of scenic area
CN112395518A (en) * 2020-11-30 2021-02-23 浙江神韵文化科技有限公司 Intelligent virtual tourism system based on Internet
CN112446804A (en) * 2020-11-30 2021-03-05 长沙学院 Intelligent tourism system based on country culture and virtual reality

Patent Citations (6)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN106648045A (en) * 2016-08-04 2017-05-10 德胜国际科技有限公司 Virtual reality technology-based real-time travel experience system
KR20180044653A (en) * 2016-10-24 2018-05-03 주식회사 웰스텍 System for experiencing tour by V.R and for servicing tour plan
WO2018120708A1 (en) * 2016-12-29 2018-07-05 深圳前海弘稼科技有限公司 Method and apparatus for virtual tour of scenic area
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