KR101611438B1 - Tour Service System and Method for Providing Recommended Tour Course - Google Patents

Abstract

A tour service system for providing a recommended travel course according to the present invention includes a tour service server, a tour operator terminal, and a travel agent server, and the tour service method performed in the tour service system comprises: Creating a plan, generating a tourist pre-experience image using the virtual reality based on the generated tour plan, and providing metadata of the tourist pre-experience image and the tourist spot to the visitor terminal.

Description

{Tour Service System and Method for Providing Recommended Tour Course}

BACKGROUND OF THE INVENTION 1. Field of the Invention The present invention relates to a tourism service system and method for providing a recommended travel course, and more particularly, to a tourism service system and method for providing a tour plan suitable for the preference of a tourist based on information of tourists, will be.

Currently, most tourist products are arranged in a manner that a travel agency sets a schedule and promotes tour products of the designated route to tourists. However, tourists' favorite travel method is free travel. Tourists want to know more information about sightseeing facilities, accommodation, meals, etc. in advance, and want to experience it when they can not see it. However, information on sightseeing places that can be accessed on the Internet or on television is extremely fragmented, or there is a problem in that it is insufficient or time-consuming to obtain information that is vivid due to type-oriented information provision.

In order to solve such a problem, an invention according to Patent Publication No. 10-2006-0112960 has been proposed. The present invention relates to a virtual reality travel method, and more particularly, to a method of enabling a tourist experience in a virtual space through a travel agent site access. In addition, the above-described method has an advantage in that convenience is provided to the user because the user can purchase a product such as accommodation reservation or souvenir in the same site.

However, the conventional virtual reality travel method as described above has the problem that the information obtained through the virtual experience is limited local information or a simple image file.

Thus, as the necessity of creating a customized travel plan more accessible to the user is increased, Patent Publication No. 10-2011-0051464 has been proposed. The present invention relates to a moving picture panorama-based storytelling type local information providing method and system, and more particularly, to a method and system for providing local information of a GPS (Global Positioning System) Describes how to provide local information using the Panorama Virtual Reality by the camera.

However, the related art video panorama-based storytelling type local information providing method and system have a problem in that a range of information selection provided to a user is limited.

Therefore, there has been a demand for a method of automatically providing a recommended travel course so that a more efficient and interesting trip can be carried out, and providing a preliminary experience video through the panoramic video of the travel course, so that the user can plan the trip conveniently.

(Patent Document 1) Patent Publication No. 10-2006-0112960 (Patent Document 2) Patent Publication No. 10-2011-0051464

SUMMARY OF THE INVENTION The present invention has been made to solve the above-mentioned problems, and it is an object of the present invention to provide a tour plan which is suitable for the preference of tourists through a recommendation algorithm to tourists, And to provide a tourism service system and method for providing a sightseeing experience video.

According to an aspect of the present invention, there is provided a tourism service system for providing a recommended travel course, comprising: a tourism service server for creating a tour plan tailored to a tourist and providing virtual experience images and metadata based on the tour plan; A tourist terminal for inputting a travel plan and reproducing a tourist experience video; And a travel agency server for sending a tourist detailed plan to the tourist terminal based on the tour plan and the metadata provided from the tourist service server and confirming a transportation plan or a lodging plan for the tour plan, A tour plan generating unit for generating a tour course in accordance with a travel plan input from the tourist terminal through the communication unit, a video editor for producing a tourist destination experience video using a virtual reality based on the tour plan generated, And a database for storing photographed images and metadata necessary for producing a tourist attraction experience video.

Preferably, the tourism service server is connected to a Korea Tourism Organization Corporation server, a tourism zone local government server, or a public application program interface map server through a network, and the metadata provider may include a Korea Tourism Organization server, The server, or the open application interface map server.

Preferably, the tour plan generating unit performs primary data filtering on the basis of the travel keyword and the theme travel planning data input from the tourist terminal, arranges the filtered data in accordance with the priority order, Secondary data filtering is performed according to the viewing time of the point of interest (POI), and the moving time between each point of interest (POI) is calculated to generate and output a recommended course.

At this time, the data alignment according to the priority order is calculated by the following equation.

[Mathematical Expression]

Where G is the expert rating for the point of interest (POI), S is the viewer rating for the point of interest (POI), F is the viewer rating rating of the total point of interest (POI) Means the highest point that can be given to the point of interest (POI), and? And? Are weight values, and? +? = 1.

According to another aspect of the present invention, there is provided a tourism service method performed in a tourism service system that provides a recommended travel course including a tourism service server, a tourist terminal, and a travel agent server, Creating a tour plan according to the travel plan; Creating a tourist destination experience image using a virtual reality based on the generated tour plan; And providing the visitor terminal with the meta data of the tourist experience experience video and the sightseeing spot.

Preferably, the step of generating the tour plan comprises the steps of: (a) receiving travel plan data of a travel keyword, a theme, a travel period, and a transportation from the tourist terminal; (b) performing primary data filtering based on the travel keyword and the theme input; (c) sorting the filtered data in order of priority; (d) filtering the secondary data according to the travel time and the viewing time of the point of interest (POI); (e) calculating a movement time between points of interest (POI) to generate and output a recommended course.

Preferably, in the step (c), the data alignment according to the priority order is calculated by the following equation.

[Mathematical Expression]

Where G is the expert rating for the point of interest (POI), S is the viewer rating for the point of interest (POI), F is the viewer rating rating of the total point of interest (POI) Means the highest point that can be given to the point of interest (POI), and? And? Are weight values, and? +? = 1.

Preferably, in the step (d), the secondary data filtering is performed by the following equation.

[Mathematical Expression]

In the equation, T _total is inputted by the user to travel period, N _POI is the number of primary filter POI total, T _tour (i) the viewing time, T _weight (i) of the i-th point of interest (POI) is And a predetermined travel time for the travel distance between points of interest (POI).

Advantageously, in step (e), (e1) selecting a point of interest (POI) having the highest priority among a list of sorted and secondary filtered data as a starting point; (e2) moving to a point of interest (POI) having the closest distance from the origin; (e3) storing the current travel course as a recommended travel course candidate when the following equation is satisfied; (e4) If the following equation is not satisfied, it is checked whether or not the secondary sorted POI list is the last, and if it is the last, the current travel course and the recommended course candidate are output as a recommended course. Moving to the nearest POI, and then moving back to step (e3).

[Mathematical Expression]

In the equation, T _total is inputted by the user to travel period, N _POI is the number of secondary filtering POI total, T _tour (i) the viewing time, T _move (i) in the i-th point of interest (POI) is (POI). ≪ / RTI >

Preferably, in the step (e3), if the recommended travel course candidate does not satisfy the predetermined criterion that should include the upper POI, the lower POI of the collation is deleted, and the travel course is initialized to newly start the course creation.

According to the present invention, tourists can plan a tour plan or a sightseeing course in accordance with the preference, so that it is possible to plan the sightseeing schedule and appropriately reduce the expenses for the sightseeing.

In addition, information and maps of sightseeing places according to the tour plan can be provided as realistic sightseeing places through experience video using Panorama Virtual Reality, which can enhance the pre-experience effect of tourists.

Furthermore, through partnership with domestic and foreign travel agencies, Korea Tourism Organization and local governments, it is possible to activate tourism business such as sharing of tourist information, accommodation, traffic and so on, thereby making it possible to distribute advertisement revenue or profit among travel agencies.

1 is a schematic diagram for explaining a tourism service system according to an embodiment of the present invention.
2 is a block diagram illustrating a tourism service server according to an embodiment of the present invention.
3 is a flowchart illustrating a tour plan generation method according to an embodiment of the present invention.
4 is a flowchart illustrating a method of generating a recommended travel course according to an embodiment of the present invention.

Hereinafter, embodiments of the present invention will be described in detail with reference to the accompanying drawings. BRIEF DESCRIPTION OF THE DRAWINGS The advantages and features of the present invention and the manner of achieving them will become apparent with reference to the embodiments described in detail with reference to the accompanying drawings. However, the embodiments of the present invention can be modified into various forms, and the names and functions used in the present invention are intended to illustrate the embodiments and not to limit the present invention. It is to be understood, however, that these embodiments are provided so that this disclosure will be thorough and complete, and will fully convey the scope of the invention to those skilled in the art to which the invention pertains, It is just defined.

FIG. 1 is a schematic diagram for explaining a tourism service system according to an embodiment of the present invention, and FIG. 2 is a block diagram for explaining a tourism service server according to an embodiment of the present invention.

Referring first to FIG. 1, a tourism service system according to an embodiment of the present invention includes a tourism service server 100, at least one tourist terminal 200, and a travel agency server 300. The tourism service server 100 is a tourism service platform system that provides a customized tourism experience video to tourists, creates a customized tour plan, and provides virtual experience images and metadata based on the tour plan.

The tourist terminal 200 generally means a terminal capable of performing normal data communication through wired / wireless communication such as a smart device or a computer. The tourist terminal 200 can connect to the travel agent server 300 and the tourist service server to create a tour plan. The tourist terminal 200 inputs the travel plan and reproduces the tourist experience video.

The travel agent server 300 obtains the personal information of the tourist from the tourist terminal 200 connected to the tourist service server 100 and provides the tourist service server 100 with the information necessary for establishing the travel information and the travel plan. In addition, the travel agency server 300 sends a tourist detailed plan to the tourist terminal 200 based on the tour plan and the metadata provided from the tourist service server 100, and determines a transportation plan and a lodging for the tour plan .

In addition, the tourism service server 100 is connected to a Korea Tourism Organization server or a tourist zone local government server 400 or a public application program interface map server 500 through a network.

2, the tourism service server 100 includes a communication unit 110, a tour plan generating unit 120, a video editing unit 130, a metadata providing unit 140, and a database (150).

The communication unit 110 may include a tourist terminal 200, a travel agency server 300, a Korea Tourism Organization server or a tourist zone local government server 400, or a public application program interface map server 500 And the like.

The tour plan generating unit 120 generates a travel course according to the travel plan requested from the tourist terminal 200 through the communication unit 110. [ These travel courses can be provided in multiple lists, which can be selected and finalized by tourists.

The image editing unit 130 produces a tourist destination experience image using the panoramic virtual reality based on the generated tour plan. That is, the image editing unit 130 combines the image data produced for each tourist spot according to the order of the prior experience, and produces a customized tourist spot experience image.

The meta data providing unit 140 replenishes the missing information with only the tour plan and the experience video. Here, the metadata is detailed data for the data, which means additional information. The metadata in the present invention may include the map information of the tourist spot and the surrounding area information, in addition to the additional information such as time and resolution at the time of shooting the moving image. The meta data providing unit 140 may receive meta data of a tourist spot from a tourism related site 400 or 500 such as a Korea Tourism Organization Corporation, a tourist zone local government server, or a public application program interface map server.

Here, the Open Application Program Interface MAPS (MAPS) is an Internet Application Program Interface (MAPS) that allows Internet users to generally provide web search results and user interfaces related to maps, Means a map that can be used by anyone. For example, maps that are served on various portals such as google and naver, can be one of them.

The database 150 stores photographed images and metadata necessary for producing a tourist attraction experience video.

Hereinafter, a tour plan generating method performed by the tour plan generating unit 120 will be described in detail. 3 is a flowchart illustrating a tour plan generation method according to an embodiment of the present invention.

Referring to FIG. 3, the travel-related data such as a travel keyword, a theme, a travel period, and transportation are input from the tourist terminal 200 (S301). Next, primary data filtering is performed on the basis of the input data (S302), and the filtered data is aligned according to the priority order (S303). The sorted data are subjected to secondary data filtering in accordance with the total touring period of the tourists and the sightseeing place, that is, the viewing time of each point of interest (POI) (S304) The time is calculated to generate and output a recommended course (S305).

More specifically, in the travel data input step (S301), the more data input through the tourist terminal 200, the more accurate the tour plan creation is made. However, it is desirable to extract the maximum amount of information from the minimum input data, since it may cause inconvenience to tourists if a lot of input is received. Therefore, the input of the tourist terminal 200 can be limited to four kinds of travel keywords, theme, travel period, and transportation. Here, keywords and themes are inputted to confirm tourists' purpose of travel, and time portions of travel can be confirmed through travel periods. In addition, the travel time between destinations can be grasped through the input of the transportation.

The primary data filtering (S302) is performed based on the input keywords and the theme. If the tourists input "Kyeongbok Palace" and "Bukchon" as keywords and enter "historical tour" and "experience tour" as the themes, among the POIs in the database, Only the POI is filtered.

keyword theme POI GPS location Time (minutes) Guide points Audience rating Gyeongbokgung Historical sightseeing Kunjongon 37.5, 126.9 10 5.0 5.0 Gyeongbokgung Historical sightseeing Sommelier 38.5, 130.5 5 4.7 3.7 Gyeongbokgung Historical sightseeing Gyotaejeon 40.5, 125.3 5 4.5 3.2 Gyeongbokgung Historical sightseeing Revised 42.5, 130.5 5 3.9 5.0 Gyeongbokgung Historical sightseeing Gyeonghoeru 43.5, 135.5 10 5.0 4.5 Bukchon Experience tour Embroidery Museum 50.2, 122.3 60 4.8 4.5

In the data sorting step S303, data sorting is performed according to the priority order of the first filtered information. For example, the reference Sort at the time of sorting can be calculated through Equation (1).

In Equation (1), G denotes a specialist point such as a guide through the tourist information, and is a criterion for showing an evaluation of the point of interest (POI) from an objective point of view. S denotes a point of view of a single point of interest (POI), and F denotes an average point of view of the point of interest (POI) of the primary data filtered. However, since the F value is a subjective value due to the experience created after the viewer visits the point of interest (POI), the data is corrected using P, which is the highest point of the point. That is, P means the highest point that a viewer can give to a point of interest (POI), so (F / P) is always less than one. That is, the objective guide point is more important in the data sorting than the subjective visitor point in Equation (1).

In Equation (1), it is possible to generate a plurality of recommended courses by adjusting the data alignment reference weights alpha and beta. (α and β are weight values and α + β = 1).

In the secondary data filtering step (S304), some of the data-aligned POIs are filtered again. The calculation of the GPS distance of all the primary filtered data results in unnecessary calculations, so that it is possible to roughly filter the tourist sites that are available within the travel period entered by the tourists based on the sightseeing times of the aligned travel destinations. Equation 2 can be used for the secondary data filtering.

In the equation (2), _Ttotal denotes the travel period inputted by the user, N _POI denotes the total number of the first filtered POIs, T _tour (i) denotes the touring time of the ith POI it means. T _weight (i) is a value considering a movement distance between points of interest (POI), and means a predetermined movement time. T _weight (i) can be set to a small value, for example, 10 minutes so that many points of interest (POIs) are included.

The calculation is performed until the total time of the N POIs is greater than the _total touring time (T _total ), and the list up to the order in which this formula is satisfied is used as the travel destination candidate POI. When secondary data filtering is performed, more points of interest (POIs) than the number of actual travelable points of interest (POIs) are included and filtered.

The contents of the above process do not include details of the time, such as the moving time or the viewing time, between POIs. Therefore, in order to output an accurate travel course as much as possible within the entered travel period, it is necessary to apply data such as the distance between the points of interest (POI) and the travel time. Applying these points, in the step of creating a recommended travel course (S304), a travel course is created according to Fig.

Referring to FIG. 4, first the point of interest (POI) having the highest priority among the lists is selected as the departure point according to sorted and secondary filtered data (S401). Then, the point of interest (POI) having the closest distance from the departure point among the remaining points of interest (POI) is visited first (S402). The distance between the sightseeing places can be obtained on the basis of the GPS position value and the moving means recorded on the point of interest (POI), and can be calculated using the open application program interface map 500.

Then, the route creation of the travel course satisfies the following condition (3), or when the POIs that have been subjected to the second-order filtering are visited.

In the equation (3), N _POI represents the total number of the secondary filtered POIs, T _total represents the travel period entered by the user, T _tour (i) represents the tour time of the visited POI, T _move represents the travel time between points of interest (POIs).

If the equation (3) is satisfied in step S403, that is, if the sum of the tour time and travel distance of all N POIs is greater than the travel period, the current travel course is stored as a recommended travel course candidate in step S406.

If the recommended travel course candidate thus created does not satisfy the predetermined criteria that should include the upper POI, the lower POI of the data sorting is deleted in step S407. Since the step of sorting the POI list (S303) indicates a list to be given priority by an expert or traveler, it is preferable to enter the recommended course. However, if the recommended travel course candidate does not include a higher POI, it is desirable to revise the recommended course. This criterion refers to, for example, when the top three POIs are not included in the recommended travel course candidates, or when more than 10% of the number of the secondarily filtered POIs is not included in the recommended travel course candidates. In this case, the POI at the lowest level among the POIs included in the recommended travel course candidates is deleted (S407), and the travel course is initialized (S408) to newly start the course creation.

If the equation (3) is not satisfied in step S403, that is, if the sum of the viewing times and travel times of all the N POIs is not greater than the travel period, a new POI must be added. Accordingly, the last check of the POI list sorted in step S404 is checked. If it is the last POI, all the points of interest (POI) on the list are visited, and the current travel course and recommended course candidates are output to the recommended course (S409). If not, the process moves to the POI closest to the current POI (S405), and then returns to step S403.

Generally, when outputting a number of recommendation courses generated in this manner, users will most likely see and use the recommended course at the top of the list. Therefore, it can be said that the recommendation course located at the top of the recommended course output is important.

Therefore, when outputting the recommended course, it is possible to adjust using the weight value by? And? According to Equation (1). For example, according to α and β values, the recommendation of three cases (α = 0.9, β = 0.1), visitor center (α = 0.1, β = 0.9) You can make a course. At this time, if the created recommendation course is the same as the expert-oriented course and the visitor-oriented course, it means that the opinion of the expert is the same as that of the tourist. If the same course is not created, the recommendation course can be output in the order of expert-centered, tourist-oriented, intermediate-level courses.

Also, in order to prevent a case where the route to be output is overlapped according to the weight of each, and the recommendation course is less, it is also possible to output the data in the recommended course candidate to provide a sufficient recommendation course to the tourists.

100: Tourist service server
110:
120: Tour plan generating section
130:
140: metadata provider
150: Database
200: Tourist terminal
300: travel agency server
400: Korea Tourism Organization or local government server
500: Map Server

Claims (10)

In a tourism service system providing a recommended travel course,
A tourism service server for creating a tour plan tailored to tourists and providing virtual experience images and metadata based on the tour plan;
A tourist terminal for inputting a travel plan and reproducing a tourist experience video;
And a travel agency server for sending a tourist detailed plan to the tourist terminal based on the tour plan and the metadata provided from the tourist service server and confirming a transportation plan or a lodging plan for the tour plan,
The tourism service server includes a communication unit, a tour plan generating unit that generates a travel course according to the travel plan input from the tourist terminal through the communication unit, and a tourist destination experience video using virtual reality based on the generated tour plan A metadata editing unit, a metadata providing unit for providing meta data for a tourist spot, and a database for storing photographed images and metadata necessary for producing a tourist spot experience video,
The tour plan generating unit performs primary data filtering based on the travel keyword and the theme travel planning data input from the tourist terminal, arranges the filtered data in accordance with the priority order, The second data filtering is performed according to the viewing time of the POI, and the moving time between each point of interest (POI) is calculated to generate and output a recommended course,
Wherein the secondary data filtering is performed through the following equation.
[Mathematical Expression]

In the equation, T _total is inputted by the user to travel period, N _POI is the number of primary filter POI total, T _tour (i) the viewing time, T _weight (i) of the i-th point of interest (POI) is And a predetermined travel time for the travel distance between points of interest (POI). The method according to claim 1,
Wherein the tourism service server is connected to a Korea Tourism Organization Corporation server, a tourism zone local government server, or a public application program interface map server through a network, and the metadata provider includes the Korea Tourism Organization server, the tourist zone local government server, And the meta data of a tourist spot is provided from the open application program interface map server. delete 2. The tourism service system according to claim 1, wherein the data sort according to the priority order is calculated by the following equation.
[Mathematical Expression]

Where G is the expert rating for the point of interest (POI), S is the viewer rating for the point of interest (POI), F is the viewer rating rating of the total point of interest (POI) Means the highest point that can be given to the point of interest (POI), and? And? Are weight values, and? +? = 1. 1. A tourism service method performed in a tourist service system that provides a recommended travel course including a tourist service server, a tourist terminal, and a travel agent server,
Creating a tour plan according to a travel plan received from the tourist terminal;
Creating a tourist destination experience image using a virtual reality based on the generated tour plan;
Providing the visitor terminal with the meta data of the tourist experience experience video and the sightseeing spot,
Wherein the step of creating the tour plan comprises:
(a) receiving travel plan data of a travel keyword, a theme, a travel period, and a transportation from the tourist terminal;
(b) performing primary data filtering based on the travel keyword and the theme input;
(c) sorting the filtered data in order of priority;
(d) filtering the secondary data according to the travel time and the viewing time of the point of interest (POI);
(e) calculating a movement time between points of interest (POI) to generate and output a recommended course,
Wherein, in the step (d), the secondary data filtering is performed through the following equation.
[Mathematical Expression]

In the equation, T _total is inputted by the user to travel period, N _POI is the number of primary filter POI total, T _tour (i) the viewing time, T _weight (i) of the i-th point of interest (POI) is And a predetermined travel time for the travel distance between points of interest (POI). delete 6. The method of claim 5, wherein in the step (c)
Wherein the data sort according to the priority order is calculated through the following equation.
[Mathematical Expression]

Where G is the expert rating for the point of interest (POI), S is the viewer rating for the point of interest (POI), F is the viewer rating rating of the total point of interest (POI) Means the highest point that can be given to the point of interest (POI), and? And? Are weight values, and? +? = 1. delete 6. The method of claim 5, wherein in the step (e)
(e1) selecting a point of interest (POI) having the highest priority among a list of sorted and secondary filtered data as a starting point;
(e2) moving to a point of interest (POI) having the closest distance from the origin;
(e3) storing the current travel course as a recommended travel course candidate when the following equation is satisfied;
(e4) If the following equation is not satisfied, it is checked whether or not the secondary sorted POI list is the last, and if it is the last, the current travel course and the recommended course candidate are output as a recommended course. Moving to the nearest POI, and then moving back to step (e3).
[Mathematical Expression]

In the equation, T _total is inputted by the user to travel period, N _POI is the number of secondary filtering POI total, T _tour (i) the viewing time, T _move (i) in the i-th point of interest (POI) is (POI). ≪ / RTI > 10. The method according to claim 9, wherein in the step (e3)
If the recommended travel course candidate does not satisfy the predetermined criteria that should include the upper POI, deletes the lower POI of the collation and initializes the travel course to newly start the course creation.

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