CN116503209A - Digital twin system based on artificial intelligence and data driving - Google Patents
Digital twin system based on artificial intelligence and data driving Download PDFInfo
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Abstract
The invention discloses a digital twin system based on artificial intelligence and data driving, and relates to the technical field of scenic spot management; the system comprises a model management module, a tourist registration module, a tourist number monitoring module, a scenic spot recommendation module and a database; through monitoring and classifying the visitor quantity of each scenic spot in the scenic spot, according to the time length of playing and the scenic spot quantity of having played of visitor in the reposition of redundant personnel scenic spot, the recommended scenic spot quantity of visitor is analyzed, and then the recommended scenic spot that the visitor corresponds in the reposition of redundant personnel scenic spot is selected from the drainage scenic spot, can't improve the intelligent level's of scenic spot reposition of redundant personnel in the current technique problem, realized the personalized recommendation of visitor's play scenic spot and the rationalization distribution of visitor quantity in the scenic spot, improved the reposition of redundant personnel effect of the too high scenic spot of people's flow, still improved the experience sense of playing of visitor and the service of playing, also great guarantee the coordinated development in scenic spot simultaneously.
Description
Technical Field
The invention relates to the technical field of scenic spot management, in particular to a digital twin system based on artificial intelligence and data driving.
Background
Along with the vigorous development of artificial intelligence and big data, the integration of the business industry and a digital twin system is more and more compact, the operation and maintenance level of scenic spots is greatly improved by constructing a digital twin space, but along with the coming of a traveling season, the increase of the people flow influences the experience of tourists, so that the reasonable guiding and recommending of tourist spots in the scenic spots are very important.
In the prior art, the diversion mode of the scenic spot with more people flow in the scenic spot is mainly guided by staff or is used for carrying out congestion prompt through a large display screen in the scenic spot, and obviously, the diversion mode has at least the following problems:
1. whether staff guides or displays the suggestion of large screen, all can't improve the intelligent level of sight spot reposition of redundant personnel, also increase staff's work burden simultaneously, and can't promote the service in sight spot yet, on the other hand, current technique does not provide individuation and pertinence's sight spot for the visitor according to visitor's age and sex, thereby can't improve the service in sight spot, also reduced visitor's efficiency and the effect of playing, also can't ensure the reposition of redundant personnel effect in too high sight spot of people's flow and the experience sense that the visitor played simultaneously.
2. In the prior art, the scenic spots are not classified according to the pedestrian flow of the scenic spots in the scenic spots, so that tourists of the scenic spots with excessive pedestrian flow cannot be accurately guided to the scenic spots with less pedestrian flow, the uniformity of the pedestrian flow distribution of the scenic spots in the scenic spots cannot be guaranteed, the tourists are caused to receive different resources and services, pleasure and comfortable playing demands of the tourists cannot be met, and meanwhile, the coordinated development of the scenic spots cannot be guaranteed.
Disclosure of Invention
To solve the above problems; it is an object of the present invention to provide a digital twin system based on artificial intelligence and data driving.
In order to solve the technical problems, the invention adopts the following technical scheme: a digital twin system based on artificial intelligence and data driving, comprising: the model management module is used for constructing a digital twin model corresponding to the target scenic spot and updating and displaying the digital twin model corresponding to the target scenic spot;
the tourist number monitoring module is used for monitoring the number of tourists of each scenic spot in a specified time period of the target scenic spot according to a digital twin model corresponding to the target scenic spot, so as to screen out each target diversion scenic spot, each target drainage scenic spot and each target maintenance scenic spot;
the scenic spot recommendation module comprises a scenic spot diversion unit and a tourist prompting unit;
the scenic spot shunting unit is used for analyzing each target recommended scenic spot corresponding to each tourist in each target shunting scenic spot in a specified time period and recommending, and the specific process is as follows: obtaining a shunt recommendation coefficient corresponding to each tourist in each target shunt scenic spot in a specified time period, comparing the shunt recommendation coefficient corresponding to each tourist in each target shunt scenic spot in the specified time period with the number of recommended scenic spots corresponding to preset shunt recommendation coefficients to obtain the number of recommended scenic spots corresponding to each tourist in each target shunt scenic spot in the specified time period, obtaining the matching degree of each tourist in each target shunt scenic spot in the specified time period and each target drainage scenic spot, screening to obtain each target recommended scenic spot corresponding to each tourist in each target shunt scenic spot in the specified time period, and sending the target recommended scenic spot to a user terminal of each tourist in each target shunt scenic spot;
the tourist prompting unit is used for sending each target diversion scenic spot in a specified time period to the user terminals of each tourist in each target diversion scenic spot and each target maintenance scenic spot, and performing rule prompt.
Preferably, the model management module comprises a model construction unit, a model display unit and a model updating unit, wherein the model construction unit is used for acquiring an initial image set corresponding to the target scenic spot and positions corresponding to all scenic spots in the target scenic spot, so as to construct a digital twin model corresponding to the target scenic spot; the model display unit is used for acquiring a digital twin model corresponding to the target scenic spot and displaying the digital twin model in the visual platform; the model updating unit is used for acquiring videos of all the sceneries of the target sceneries in the appointed time period through all the cameras installed in the sceneries, further updating the digital twin model corresponding to the target sceneries in the appointed time period according to the videos of all the sceneries in the appointed time period, and simultaneously transmitting an initial image set corresponding to the target sceneries and the videos of all the sceneries in the appointed time period into the database for storage.
Preferably, the system further comprises a tourist registration module, wherein the tourist registration module is used for registering and authorizing a position tracking request through the user terminal when each tourist enters the target scenic spot, acquiring identity information, position and registration completion time corresponding to each tourist after the registration is completed, taking the registration completion time of each tourist as play starting time, wherein the identity information comprises age, gender and images, and simultaneously sending the identity information and the registration completion time corresponding to each tourist to a database for storage.
Preferably, the specific process of the visitor number monitoring module is as follows: dividing the appointed time period according to preset time length to obtain all the acquisition time points, further obtaining the number of tourists of all the scenic spots in all the acquisition time points from a digital twin model of the target scenic spot, and obtaining the average number of the tourists of all the scenic spots in the appointed time period through mean value calculation to serve as the number of the tourists of all the scenic spots in the appointed time period;
comparing the number of tourists of each scenic spot in a designated time period with a preset first tourist number threshold value of each scenic spot, and if the number of tourists of a certain scenic spot is larger than the first tourist number threshold value of the scenic spot, marking the scenic spot as a target diversion scenic spot;
comparing the number of tourists of each scenic spot within a specified time period with a preset second tourist number threshold value of each scenic spot, and marking the scenic spot as a target drainage scenic spot if the number of tourists of a certain scenic spot is smaller than the second tourist number threshold value of the scenic spot;
if the number of tourists in a certain scenic spot is smaller than or equal to the first tourist number threshold of the scenic spot and is larger than or equal to the second tourist number threshold of the scenic spot, the scenic spot is marked as a target maintenance scenic spot, and each target shunting scenic spot, each target drainage scenic spot and each target maintenance scenic spot are obtained through screening in the mode.
Preferably, the specific acquisition process of the shunt recommendation coefficient corresponding to each tourist in each target shunt scenic spot is as follows: obtaining images of tourists in each target shunting scenic spot in a specified time period from a digital twin model of the target scenic spot, taking the image obtaining time of each tourist in each target shunting scenic spot in the specified time period as a playing time, further extracting the playing starting time corresponding to each tourist in each target shunting scenic spot from a database, and according to the tourists in each target shunting scenic spot in the specified time periodThe playing time and the starting playing time are used for obtaining the playing time length of each tourist in each target shunting scenic spot in the appointed time period and are recorded as T ij Where i denotes the number corresponding to each target shunt attraction, i=1, 2. J represents the number corresponding to each guest, j=1, 2....m, based on the position tracking corresponding to each tourist and the position corresponding to each scenic spot, the number of the scenic spots played by each tourist in each target shunting scenic spot in a specified time period is obtained and recorded as Q ij Thereby, the playing time length and the number of the played scenic spots corresponding to each tourist in each target shunting scenic spot in the appointed time period are calculated by a calculation formulaObtaining a distribution recommendation coefficient alpha corresponding to each tourist in each target distribution scenic spot in a specified time period ij Wherein T 'and Q' are respectively a preset reference playing time length and a reference number of points to be played, epsilon 1 、ε 2 The weight factors corresponding to the set playing time length and the number of the points to be played are respectively set.
Preferably, the matching degree of each tourist in each target diversion scenic spot and each target diversion scenic spot in the specified time period is obtained, and the specific obtaining process is as follows: obtaining images of tourists corresponding to all the target drainage scenic spots in a specified time period from a digital twin model corresponding to the target scenic spot, extracting ages and sexes of the tourists corresponding to all the target drainage scenic spots in the specified time period from a database, comparing the ages of the tourists in all the target drainage scenic spots in the specified time period with preset age periods, counting to obtain the number of the tourists corresponding to all the age periods in all the target drainage scenic spots in the specified time period, and counting to obtain the number of the tourists corresponding to all the sexes in all the target drainage scenic spots in the specified time period according to the sexes of the tourists corresponding to all the target drainage scenic spots in the specified time period;
acquiring the gender and age corresponding to each tourist in each target diversion spot in the specified time period, comparing the gender and age with the number of tourists corresponding to each age range in each target diversion spot in the specified time period, and if the age of a certain target tourist in a certain target diversion spot in the specified time period is in a certain target diversion spotIn the age group, the number of tourists corresponding to the age group in the target diversion scenic spot is recorded as the number of age-matched tourists corresponding to the target tourists and the target diversion scenic spot in the target diversion scenic spot, so as to obtain the number of age-matched tourists corresponding to each tourist and each target diversion scenic spot in the designated time period, and the number is recorded asu represents the corresponding number of each target drainage sight, u=1, 2. V; the sex corresponding to each tourist and each target diversion scenic spot in the appointed time period is obtained by the same analysis and accords with the number of tourists, and is marked as +.>The positions corresponding to the target diversion scenic spots and the positions corresponding to the tourists in the target diversion scenic spots in the appointed time period are obtained, and the distance between the tourists in the target diversion scenic spots and the target diversion scenic spots in the appointed time period is obtained and is recorded as +.>The age, sex and distance of tourists in each target diversion scenic spot and corresponding to each target diversion scenic spot in the designated time period are matched with the number of tourists, and the number and distance of tourists are calculated by a calculation formulaCalculating to obtain the matching degree (corresponding to each target diversion scenic spot) of each tourist in each target diversion scenic spot in the designated time period>Wherein R is u The number of tourists corresponding to each target drainage scenic spot in a specified time period is represented, L' is the set play transfer distance of the reference tourist, eta 1 、η 2 、η 3 Respectively set weight factors corresponding to the age matching coefficient, the sex matching coefficient and the distance matching coefficient of the tourist and the target drainage scenic spot.
Preferably, the screening obtains each target recommended scenic spot corresponding to each tourist in each target shunting scenic spot within the specified time period, and the specific screening process is as follows: s1, comparing the played scenery spot corresponding to each tourist in each target shunting scenery spot in a specified time period with each target recommended scenery spot, screening out each target recommended scenery spot which is different from the played scenery spot of each tourist in each target shunting scenery spot in the specified time period, and recording as each primary screening scenery spot corresponding to each tourist in each target shunting scenery spot;
s2, obtaining the matching degree of each tourist in each target shunting scenic spot in the designated time period and each primary screening scenic spot, sorting in descending order according to the matching degree, and taking each primary screening scenic spot with the sorting order smaller than or equal to the number of the recommended scenic spots corresponding to each tourist in each target shunting scenic spot in the designated time period as each target recommended scenic spot corresponding to each tourist in each target shunting scenic spot in the designated time period.
Preferably, the system further comprises a database, wherein the database is used for storing identity information and registration completion time corresponding to each tourist and storing an initial image set corresponding to a target scenic spot and videos of each scenic spot in a specified time period.
Compared with the prior art, the invention has the beneficial effects that:
1. according to the digital twin system based on artificial intelligence and data driving, the number of tourists in all scenic spots in a scenic spot is monitored and classified, so that target diversion scenic spots matched with the tourists are pushed to the tourists in the target diversion scenic spot, the problem that the intelligent level of scenic spot diversion is not high in the prior art is solved, personalized recommendation of tourist playing scenic spots in the scenic spot and reasonable distribution of the flow of people are realized, the diversion effect of the scenic spots with too high number of tourists is guaranteed, the playing experience and playing service of the tourists are improved, and meanwhile, the coordinated development of the scenic spot is also greatly guaranteed.
2. According to the invention, the scenic spot recommendation module not only guides the tourists with too many scenic spots to the scenic spots with fewer tourists, but also prompts the tourists outside the too many scenic spots, so that the tourists can avoid when playing, the entry of the tourists in the too many scenic spots is effectively reduced, and the pleasure and comfortable playing demands of the tourists are met.
Drawings
In order to more clearly illustrate the embodiments of the invention or the technical solutions in the prior art, the drawings that are required in the embodiments or the description of the prior art will be briefly described, it being obvious that the drawings in the following description are only some embodiments of the invention, and that other drawings may be obtained according to these drawings without inventive effort for a person skilled in the art.
Fig. 1 is a schematic block diagram of the system 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.
Referring to fig. 1, the invention provides a digital twin system based on artificial intelligence and data driving, which comprises a model management module, a tourist registration module, a tourist number monitoring module, a scenic spot recommendation module and a database.
The database is respectively connected with the model management module, the tourist registration module and the scenic spot recommendation module, and the tourist number monitoring module is respectively connected with the model management module and the scenic spot recommendation module.
The model management module is used for constructing a digital twin model corresponding to the target scenic spot and updating and displaying the digital twin model corresponding to the target scenic spot; the model management module comprises a model construction unit, a model display unit and a model updating unit, wherein the model construction unit is used for acquiring an initial image set corresponding to a target scenic spot and positions corresponding to all scenic spots in the target scenic spot, and further constructing a digital twin model corresponding to the target scenic spot; the model display unit is used for acquiring a digital twin model corresponding to the target scenic spot and displaying the digital twin model in the visual platform; the model updating unit is used for acquiring videos of all the sceneries of the target sceneries in the appointed time period through all the cameras installed in the sceneries, further updating the digital twin model corresponding to the target sceneries in the appointed time period according to the videos of all the sceneries in the appointed time period, and simultaneously transmitting an initial image set corresponding to the target sceneries and the videos of all the sceneries in the appointed time period into the database for storage.
It should be noted that, the initial image corresponding to the target scenic spot is collected by the camera carried by the unmanned aerial vehicle, and the position corresponding to each scenic spot in the target scenic spot is obtained by the GPS positioning system carried by the unmanned aerial vehicle.
According to the embodiment of the invention, the initial image set corresponding to the target scenic spot and the video of each scenic spot in the appointed time period are transmitted into the database to be stored, so that the data loss in the target scenic spot is prevented.
The visitor registration module is used for registering and authorizing a position tracking request through the user terminal when each visitor enters a target scenic spot, acquiring identity information, position and registration completion time corresponding to each visitor after registration is completed, and taking the registration completion time of each visitor as play starting time, wherein the identity information comprises age, gender and images, and simultaneously sending the identity information and the registration completion time corresponding to each visitor to a database for storage.
It should be noted that, the user terminal includes a mobile phone, a tablet, and the like.
And the tourist number monitoring module is used for monitoring the number of tourists of each scenic spot in a specified time period of the target scenic spot according to the digital twin model corresponding to the target scenic spot, so as to screen out each target diversion scenic spot, each target drainage scenic spot and each target maintenance scenic spot.
In the above, the specific process of the visitor number monitoring module is as follows: dividing the appointed time period according to preset time length to obtain all the acquisition time points, further obtaining the number of tourists of all the scenic spots in all the acquisition time points from a digital twin model of the target scenic spot, and obtaining the average number of the tourists of all the scenic spots in the appointed time period through mean value calculation to serve as the number of the tourists of all the scenic spots in the appointed time period;
comparing the number of tourists of each scenic spot in a designated time period with a preset first tourist number threshold value of each scenic spot, and if the number of tourists of a certain scenic spot is larger than the first tourist number threshold value of the scenic spot, marking the scenic spot as a target diversion scenic spot;
comparing the number of tourists of each scenic spot within a specified time period with a preset second tourist number threshold value of each scenic spot, and marking the scenic spot as a target drainage scenic spot if the number of tourists of a certain scenic spot is smaller than the second tourist number threshold value of the scenic spot;
if the number of tourists in a certain scenic spot is smaller than or equal to the first tourist number threshold of the scenic spot and is larger than or equal to the second tourist number threshold of the scenic spot, the scenic spot is marked as a target maintenance scenic spot, and each target shunting scenic spot, each target drainage scenic spot and each target maintenance scenic spot are obtained through screening in the mode.
The scenic spot recommendation module comprises a scenic spot diversion unit and a tourist prompting unit; the scenic spot shunting unit is used for analyzing each target recommended scenic spot corresponding to each tourist in each target shunting scenic spot in a specified time period and recommending, and the specific process is as follows: obtaining a shunt recommendation coefficient corresponding to each tourist in each target shunt scenic spot in a specified time period, comparing the shunt recommendation coefficient corresponding to each tourist in each target shunt scenic spot in the specified time period with the number of recommended scenic spots corresponding to preset shunt recommendation coefficients to obtain the number of recommended scenic spots corresponding to each tourist in each target shunt scenic spot in the specified time period, obtaining the matching degree of each tourist in each target shunt scenic spot in the specified time period and each target drainage scenic spot, screening to obtain each target recommended scenic spot corresponding to each tourist in each target shunt scenic spot in the specified time period, and sending the target recommended scenic spot to a user terminal of each tourist in each target shunt scenic spot; the tourist prompting unit is used for sending each target diversion scenic spot in a specified time period to the user terminals of each tourist in each target diversion scenic spot and each target maintenance scenic spot, and performing rule prompt.
In a specific embodiment, the specific acquisition process of the shunt recommendation coefficient corresponding to each tourist in each target shunt scenic spot is as follows: a1, slaveThe method comprises the steps of obtaining images of tourists in each target shunting scenic spot in a designated time period from a digital twin model of a target scenic spot, taking the image obtaining time of each tourist in each target shunting scenic spot in the designated time period as a playing time, further extracting playing starting time corresponding to each tourist in each target shunting scenic spot from a database, and obtaining the playing time of each tourist in each target shunting scenic spot in the designated time period according to the playing time and the playing starting time of each tourist in each target shunting scenic spot in the designated time period, and recording as T ij Where i denotes the number corresponding to each target shunt attraction, i=1, 2. J represents the number corresponding to each guest, j=1, 2..m;
a2, tracking the positions of all tourists in all target shunting attractions in a specified time period to obtain all play positions corresponding to all tourists in all target shunting attractions in the specified time period, and if the play position of all tourists in some target shunting attractions in the specified time period is the same as the position corresponding to some attraction, taking the attraction as the played attraction of all tourists in the target shunting attractions in the specified time period, thereby obtaining the number of the played attractions of all tourists in all target shunting attractions in the specified time period, and marking as Q ij ；
A3, passing the playing time length and the number of the played scenic spots corresponding to each tourist in each target shunting scenic spot in the appointed time period through a calculation formulaObtaining a distribution recommendation coefficient alpha corresponding to each tourist in each target distribution scenic spot in a specified time period ij Wherein T 'and Q' are respectively a preset reference playing time length and a reference number of points to be played, epsilon 1 、ε 2 The weight factors corresponding to the set playing time length and the number of the points to be played are respectively set.
In another specific embodiment, the matching degree of each tourist in each target diversion scenic spot and each target diversion scenic spot in the specified time period is obtained, and the specific obtaining process is as follows: b1, obtaining images of tourists corresponding to all target drainage scenic spots in a specified time period from a digital twin model corresponding to the target scenic spot, further extracting ages and sexes of the tourists corresponding to all target drainage scenic spots in the specified time period from a database, comparing the ages of the tourists in all target drainage scenic spots in the specified time period with preset age periods, counting to obtain the number of the tourists corresponding to all age periods in all target drainage scenic spots in the specified time period, and counting to obtain the number of the tourists corresponding to all sexes in all target drainage scenic spots in the specified time period according to the sexes of the tourists corresponding to all target drainage scenic spots in the specified time period;
b2, acquiring the gender and age corresponding to each tourist in each target diversion spot in the specified time period, comparing the gender and age corresponding to each tourist in each age range in each target diversion spot in the specified time period, if the age of each target tourist in each target diversion spot in the specified time period is in a certain age range in a certain target diversion spot, recording the number of tourists corresponding to the age range in the target diversion spot as the number of the tourists corresponding to the age of each target tourist in the target diversion spot and the age corresponding to each target diversion spot, thereby obtaining the number of the tourists corresponding to each age corresponding to each target diversion spot in the specified time period, and recording as the number of the tourists corresponding to each target diversion spotu represents the corresponding number of each target drainage sight, u=1, 2. The term "v", the sex corresponding to each tourist and each target diversion scenic spot in the appointed time period is obtained by the same analysis and accords with the number of tourists, and is marked as +.>
B3, acquiring the positions corresponding to the target shunting scenic spots and the positions corresponding to the tourists in the target shunting scenic spots in the appointed time period, further acquiring the distance between the tourists in the target shunting scenic spots and the target drainage scenic spots in the appointed time period, and recording as
B4, dividing tourists and objects in each target division scenic spot within the appointed time periodThe age corresponding to the standard drainage scenic spot accords with the number of tourists, the gender accords with the number of tourists and the distance is substituted into the calculation formulaObtaining the matching degree (corresponding to each target diversion scenic spot) of each tourist in each target diversion scenic spot in the designated time period>Wherein R is u The number of tourists corresponding to each target drainage scenic spot in a specified time period is represented, L' is the set play transfer distance of the reference tourist, eta 1 、η 2 、η 3 Respectively set weight factors corresponding to the age matching coefficient, the sex matching coefficient and the distance matching coefficient of the tourist and the target drainage scenic spot.
In another specific embodiment, the target recommended attractions corresponding to the tourists in the target shunting attractions in the designated time period are obtained through screening, and the specific screening process is as follows: s1, comparing the played scenery spot corresponding to each tourist in each target shunting scenery spot in a specified time period with each target recommended scenery spot, screening out each target recommended scenery spot which is different from the played scenery spot of each tourist in each target shunting scenery spot in the specified time period, and recording as each primary screening scenery spot corresponding to each tourist in each target shunting scenery spot;
s2, obtaining the matching degree of each tourist in each target shunting scenic spot in the designated time period and each primary screening scenic spot, sorting in descending order according to the matching degree, and taking each primary screening scenic spot with the sorting order smaller than or equal to the number of the recommended scenic spots corresponding to each tourist in each target shunting scenic spot in the designated time period as each target recommended scenic spot corresponding to each tourist in each target shunting scenic spot in the designated time period.
According to the invention, the scenic spot recommendation module not only guides the tourists with too many scenic spots to the scenic spots with fewer tourists, but also prompts the tourists outside the too many scenic spots, so that the tourists can avoid when playing, the entry of the tourists in the too many scenic spots is effectively reduced, and the pleasure and comfortable playing demands of the tourists are met.
The database is used for storing the identity information and the registration completion time corresponding to each tourist, and storing the initial image set corresponding to the target scenic spot and the video of each scenic spot in the appointed time period.
According to the embodiment of the invention, the number of tourists in each scenic spot is monitored and classified, so that the target diversion scenic spot matched with the tourists in the target diversion scenic spot is pushed, the problem that the intelligent level of scenic spot diversion cannot be improved in the prior art is solved, the personalized recommendation of the tourist attraction in the scenic spot and the rationalized distribution of the flow of people are realized, the diversion effect of the scenic spot with too high number of tourists is ensured, the game experience and the game service of the tourists are also improved, and the coordinated development of the scenic spot is also greatly ensured.
It will be apparent to those skilled in the art that various modifications and variations can be made to the present invention without departing from the spirit or scope of the invention. Thus, it is intended that the present invention also include such modifications and alterations insofar as they come within the scope of the appended claims or the equivalents thereof.
Claims (8)
1. A digital twin system based on artificial intelligence and data driving, comprising:
the model management module is used for constructing a digital twin model corresponding to the target scenic spot and updating and displaying the digital twin model corresponding to the target scenic spot;
the tourist number monitoring module is used for monitoring the number of tourists of each scenic spot in a specified time period of the target scenic spot according to a digital twin model corresponding to the target scenic spot, so as to screen out each target diversion scenic spot, each target drainage scenic spot and each target maintenance scenic spot;
the scenic spot recommendation module comprises a scenic spot diversion unit and a tourist prompting unit;
the scenic spot shunting unit is used for analyzing each target recommended scenic spot corresponding to each tourist in each target shunting scenic spot in a specified time period and recommending, and the specific process is as follows: obtaining a shunt recommendation coefficient corresponding to each tourist in each target shunt scenic spot in a specified time period, comparing the shunt recommendation coefficient corresponding to each tourist in each target shunt scenic spot in the specified time period with the number of recommended scenic spots corresponding to preset shunt recommendation coefficients to obtain the number of recommended scenic spots corresponding to each tourist in each target shunt scenic spot in the specified time period, obtaining the matching degree of each tourist in each target shunt scenic spot in the specified time period and each target drainage scenic spot, screening to obtain each target recommended scenic spot corresponding to each tourist in each target shunt scenic spot in the specified time period, and sending the target recommended scenic spot to a user terminal of each tourist in each target shunt scenic spot;
the tourist prompting unit is used for sending each target diversion scenic spot in a specified time period to the user terminals of each tourist in each target diversion scenic spot and each target maintenance scenic spot, and performing rule prompt.
2. The digital twin system based on artificial intelligence and data driving as claimed in claim 1, wherein the model management module comprises a model construction unit, a model display unit and a model updating unit, the model construction unit is used for acquiring an initial image set corresponding to the target scenic spot and positions corresponding to all scenic spots in the target scenic spot, and further constructing a digital twin model corresponding to the target scenic spot; the model display unit is used for acquiring a digital twin model corresponding to the target scenic spot and displaying the digital twin model in the visual platform; the model updating unit is used for acquiring videos of all the sceneries of the target sceneries in the appointed time period through all the cameras installed in the sceneries, further updating the digital twin model corresponding to the target sceneries in the appointed time period according to the videos of all the sceneries in the appointed time period, and simultaneously transmitting an initial image set corresponding to the target sceneries and the videos of all the sceneries in the appointed time period into the database for storage.
3. The artificial intelligence and data driven digital twin system according to claim 1, further comprising a guest registration module for registering and authorizing a location tracking request by a user terminal when each guest enters a target scenic spot, acquiring identity information, location and registration completion time corresponding to each guest after registration is completed, and taking the registration completion time of each guest as a start play time, wherein the identity information includes age, sex and image, and simultaneously transmitting the identity information and the registration completion time corresponding to each guest to a database for storage.
4. The digital twin system based on artificial intelligence and data driving as recited in claim 2, wherein the specific process of the guest number monitoring module is as follows:
dividing the appointed time period according to preset time length to obtain all the acquisition time points, further obtaining the number of tourists of all the scenic spots in all the acquisition time points from a digital twin model of the target scenic spot, and obtaining the average number of the tourists of all the scenic spots in the appointed time period through mean value calculation to serve as the number of the tourists of all the scenic spots in the appointed time period;
comparing the number of tourists of each scenic spot in a designated time period with a preset first tourist number threshold value of each scenic spot, and if the number of tourists of a certain scenic spot is larger than the first tourist number threshold value of the scenic spot, marking the scenic spot as a target diversion scenic spot;
comparing the number of tourists of each scenic spot within a specified time period with a preset second tourist number threshold value of each scenic spot, and marking the scenic spot as a target drainage scenic spot if the number of tourists of a certain scenic spot is smaller than the second tourist number threshold value of the scenic spot;
if the number of tourists in a certain scenic spot is smaller than or equal to the first tourist number threshold of the scenic spot and is larger than or equal to the second tourist number threshold of the scenic spot, the scenic spot is marked as a target maintenance scenic spot, and each target shunting scenic spot, each target drainage scenic spot and each target maintenance scenic spot are obtained through screening in the mode.
5. The digital twin system based on artificial intelligence and data driving as claimed in claim 3, wherein the specific acquisition process of the shunt recommendation coefficient corresponding to each tourist in each target shunt scenic spot is as follows: the method comprises the steps of obtaining images of tourists in each target shunting scenic spot in a designated time period from a digital twin model of a target scenic spot, taking the image obtaining time of each tourist in each target shunting scenic spot in the designated time period as playing time, further extracting playing starting time corresponding to each tourist in each target shunting scenic spot from a database, obtaining playing time of each tourist in each target shunting scenic spot in the designated time period according to the playing time and the playing starting time of each tourist in each target shunting scenic spot in the designated time period, tracking the positions corresponding to each tourist and the positions corresponding to each scenic spot, and obtaining the number of the played scenic spots of each tourist in each target shunting scenic spot in the designated time period, thereby obtaining the shunting recommendation coefficient corresponding to each tourist in each target shunting scenic spot in the designated time period through calculation.
6. The digital twin system based on artificial intelligence and data driving as recited in claim 5, wherein the obtaining the matching degree of each tourist in each target diversion scenic spot and each target diversion scenic spot in the specified time period comprises the following steps: obtaining images of tourists corresponding to all the target drainage scenic spots in a specified time period from a digital twin model corresponding to the target scenic spot, extracting ages and sexes of the tourists corresponding to all the target drainage scenic spots in the specified time period from a database, comparing the ages of the tourists in all the target drainage scenic spots in the specified time period with preset age periods, counting to obtain the number of the tourists corresponding to all the age periods in all the target drainage scenic spots in the specified time period, and counting to obtain the number of the tourists corresponding to all the sexes in all the target drainage scenic spots in the specified time period according to the sexes of the tourists corresponding to all the target drainage scenic spots in the specified time period;
the method comprises the steps of obtaining the gender and age corresponding to each tourist in each target diversion scenic spot in a specified time period, comparing the gender and age corresponding to each tourist in each target diversion scenic spot in each specified time period with the number of tourists corresponding to each age period in each target diversion scenic spot in each specified time period, if the age of each target tourist in each target diversion scenic spot in each specified time period is in a certain age period in each target diversion scenic spot, recording the number of tourists corresponding to each age period in each target diversion scenic spot as the number of tourists corresponding to each age period in each target diversion scenic spot, obtaining the number of the tourists corresponding to each target diversion scenic spot in each target diversion scenic spot, and calculating the number of the tourists corresponding to each target diversion scenic spot in each target diversion scenic spot by matching the number of tourists corresponding to each age period in each target diversion scenic spot in each specified time period.
7. The digital twin system based on artificial intelligence and data driving as recited in claim 1, wherein the screening obtains each target recommended attraction corresponding to each tourist in each target shunting attraction in a specified time period, and the specific screening process is as follows:
s1, comparing the played scenery spot corresponding to each tourist in each target shunting scenery spot in a specified time period with each target recommended scenery spot, screening out each target recommended scenery spot which is different from the played scenery spot of each tourist in each target shunting scenery spot in the specified time period, and recording as each primary screening scenery spot corresponding to each tourist in each target shunting scenery spot;
s2, obtaining the matching degree of each tourist in each target shunting scenic spot in the designated time period and each primary screening scenic spot, sorting in descending order according to the matching degree, and taking each primary screening scenic spot with the sorting order smaller than or equal to the number of the recommended scenic spots corresponding to each tourist in each target shunting scenic spot in the designated time period as each target recommended scenic spot corresponding to each tourist in each target shunting scenic spot in the designated time period.
8. The artificial intelligence and data driven digital twin system of claim 1, further comprising a database for storing identity information and registration completion time corresponding to each guest, storing an initial image set corresponding to a target scenic spot and video of each scenic spot within a specified time period.
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