CN114065055A - Intelligent tour route recommendation method and query system thereof - Google Patents
Intelligent tour route recommendation method and query system thereof Download PDFInfo
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Abstract
The invention discloses an intelligent tour route recommendation method and a query system thereof, which comprises the steps of obtaining a planar map of a target area to generate a corresponding hand-drawn map, and registering the hand-drawn map of the target area with a third-party map to form a tour map; establishing a tourist attraction database, acquiring the attraction information of all the attractions in the tourist map, and storing the attraction information in the tourist attraction database in a classified manner; acquiring scenic spot information of corresponding scenic spots in a tourist spot database based on N target scenic spots planned to be visited by a user, and generating a first tour route according to the preference of the user; when the user finishes the tour of the first target scenic spot, the second tour route is generated based on the remaining N-1 target scenic spots according to the preference of the user again, so that the tour route is updated in real time in the tour process of the user, a personalized tour route is generated, the tour route can be adjusted adaptively in time according to weather changes and other changing factors, and the use experience of the user is improved.
Description
Technical Field
The invention relates to the technical field of tour route generation, and particularly discloses an intelligent tour route recommendation method and an inquiry system thereof.
Background
With the development of the national economic level, the demand of people for tourism is increasing, how to plan a route before tourism for tourists, have good experience in the tourism, evaluate the satisfaction degree of tourism for scenic spots after tourism, and whether to recommend relatives and friends to travel later becomes a problem to be solved urgently by tourism scenic spot managers.
At present, map software can only provide conventional driving, walking and public transportation routes, and usually performs route planning for the first selection according to the way, so that the function is single, the planned tour route does not meet the personalized requirements of users, meanwhile, the users can only visit according to the originally planned tour route from beginning to end, the adaptability is low, and emergencies (such as sudden change of weather, scenic spot reception capacity and the like) in the visiting process cannot be coped with.
Disclosure of Invention
In view of the above, the present invention provides an intelligent tour route recommendation method and an inquiry system thereof, so as to solve the problems that in the prior art, a map software has a single function, and cannot specify an individualized tour route for a user and has low adaptability in a tour route making process.
In order to achieve the purpose, the invention provides the following technical scheme:
in a first aspect of the present invention, an intelligent tour route recommendation method is provided, which includes the following steps:
s1: acquiring a planar map of a target area, processing the planar map into a hand-drawn map only containing travel related elements, and registering the hand-drawn map of the target area with a third-party map to form a travel map;
s2: creating a tourist attraction database, acquiring the attraction information of all the attractions in the tourist map, and storing the attractions and the attraction information corresponding to the attractions in the tourist attraction database according to preset classification;
s3: acquiring scenic spot information of corresponding scenic spots in a tourist spot database based on N target scenic spots planned to be visited by a user, and generating a first tour route according to the preference of the user;
s4: and acquiring the real-time position of the user, and when the user finishes the tour of the first target scenic spot, generating a second tour route based on the remaining N-1 target scenic spots according to the preference of the user again so as to update the tour route in real time in the tour process of the user until the tour is finished.
Further, the specific step of step S1 includes:
s101: acquiring a plane map of a target area according to a preset map grade, processing the plane map into a preset format, and acquiring longitude and latitude coordinates of at least two opposite angles on the plane map;
s102: removing non-travel related elements except travel related elements on the plane map by using third-party drawing software to generate a hand-drawn map of the target area;
s103: and registering the hand-drawn map and a third-party map to obtain a tourist map of a target area.
Further, the specific step of step S103 includes:
s1031: calculating longitude and latitude coordinates of a central point of the plane map according to the longitude and latitude coordinates of at least two opposite angles acquired on the plane map in the step S101;
s1032: accessing a third-party map in a unity engine, and endowing the longitude and latitude coordinates of the central point in the step S1031 to a map of a target area in the third-party map;
s1033: and adjusting the position of a third-party map in a working visible area of a unity engine based on the longitude and latitude coordinates of the central point, setting the map grade of the third-party map to be the same as that of the planar map, importing the hand-drawn map into the unity engine, and registering the hand-drawn map and the third-party map to obtain the tourist map.
Further, the specific step of step S2 includes:
s201: creating a tourist attraction database, and acquiring all attraction information in a target area;
s202: dividing the area of each scenic spot in the tourist map into a plurality of scenic spot maps according to a preset size, amplifying the scenic spot maps according to the same map grade as the tourist map, and storing the amplified scenic spot maps into corresponding scenic spot information in a tourist spot database;
s203: the method comprises the steps of obtaining real-time weather data and real-time passenger flow of each scenic spot in a target area and real-time distance between a user and each scenic spot in the target area, and dynamically storing the real-time weather data, the real-time passenger flow and the real-time distance in corresponding scenic spot information in a tourist spot database.
Further, the specific step of step S3 includes:
s301: acquiring corresponding scenic spot information in a tourist spot database based on N target scenic spots planned to be visited by a user;
s302: the method comprises the steps of obtaining preferences of a user and setting a corresponding priority sequence, wherein the preferences at least comprise the distance between a target scenic spot and the current position of the user, real-time weather data of the target scenic spot and real-time passenger flow of the target scenic spot;
s303: and generating a first tour route according to the priority corresponding to the preference.
Further, in step S303, a specific method for generating the first tour route is as follows:
recording the preference of a user as first to Mth preferences according to a set priority sequence, extracting the scenic spot information corresponding to the N target scenic spots, respectively acquiring values corresponding to the N target scenic spots from the scenic spot information according to the first preference to form first preference factors, and sequencing the N scenic spots according to the first preference factors to obtain a first target scenic spot sequence;
judging whether target scenic spots with equal first preference factors exist in the first target scenic spot sequence, if not, generating the first tour route according to the sequence of N target scenic spots determined by the first target scenic spot sequence; if yes, extracting X target scenic spots with equal first preference factors from the first target scenic spot sequence, respectively obtaining values corresponding to the X target scenic spots from the scenic spot information according to second preference to form second preference factors, and sequencing the X target scenic spots according to the second preference factors to obtain a second target scenic spot sequence;
judging whether a target scene with the same second preference factor exists in the second target scene sequence, if not, inserting the second target scene sequence into the original sequence of the first target scene sequence to determine the sequence of N target scenes to generate the first tour route; if yes, Y target scenic spots with the same second preference factor are extracted from the second target scenic spot sequence, values corresponding to the Y target scenic spots are obtained from the scenic spot information respectively according to third preference to form third preference factors, the Y target scenic spots are sequenced according to the third preference factors to obtain a third target scenic spot sequence, and the process is repeated until the Mth preference factor obtained by the Mth preference calculation is judged to be finished to generate the first tour route.
Further, in step S303, it is determined whether the first to mth preference factors are equal, first to mth error coefficients are respectively set for the first to mth preference factors, and the first to mth preference factors are all regarded as equal when meeting the corresponding first to mth error coefficients.
Further, the specific method of step S4 is as follows:
the method comprises the steps that the real-time position of a user is obtained, and after the user reaches a corresponding first target scenic spot in a first tour route, whether the user finishes the tour of the first target scenic spot is judged according to preset conditions; and after the user finishes the tour of the first target scenic spot, generating a second tour route on the basis of the rest N-1 target scenic spots according to the preference of the user and the method in the step S303, and dynamically updating the tour route by analogy until the tour is finished.
In a second aspect of the present invention, an intelligent tour route inquiry system is provided, which comprises:
the tourist map generation module is used for generating a hand-drawn map of the target area according to the acquired plane map of the target area and registering the hand-drawn map and a third-party map to form a tourist map containing tourist related elements;
the scenic spot map generating module is used for generating a scenic spot map corresponding to each scenic spot according to the tourist map;
the data acquisition module is used for acquiring the real-time distance between the user and each scenic spot in the target area and the real-time weather data and the real-time passenger flow volume of each scenic spot in the target area;
the tourist attraction database is used for storing the attraction information of all the attractions in the target area in a classified manner, wherein the attraction information comprises static information and dynamic information, the static information at least comprises attraction names, attraction introduction and attraction maps, and the dynamic information at least comprises the real-time distance between the attractions and a user, the real-time weather data of the attractions and the real-time passenger flow of the attractions; and
the tour route generation module is used for generating and dynamically updating tour routes, and comprises a scenic spot information acquisition unit, a preference weight setting unit, a route generation unit and a route updating unit, wherein:
the scenic spot information acquisition unit is used for acquiring corresponding scenic spot information in the tourist spot data according to N target scenic spots planned to be visited by the user;
the preference weight setting unit is used for setting the priority order of each preference according to the preference of the user;
the route generating unit is used for generating a first tour route according to the priority order of the preference;
and the route updating unit is used for updating the tour route on the basis of the rest (N-N) th target scenic spots according to the priority order of the preference again until the tour is finished when the user finishes the tour of the nth target scenic spot.
Further comprises a scenic spot classification display module,
the scenic spot classification display module is used for identifying the ID number of the corresponding scenic spot type according to the request of the user, extracting all the scenic spot information under the type according to the ID number for displaying, and hiding the scenic spots of the rest types and the scenic spot maps thereof.
The method and the device set the corresponding priority sequence according to the preference of the user, sequentially calculate the preference factors of the target scenic spots based on the priority sequence, sort the tour sequence of the target scenic spots according to the preference factors to generate the tour route meeting the personalized requirements of the user, meanwhile, continuously acquire the dynamic information of the target scenic spots in the tour process of the user, and update the tour route based on the remaining target scenic spots which are not visited according to the dynamic information, so that the whole tour route is in a dynamically updated state in the tour process of the user, and the adaptability is high. In addition, the hand-drawn map only containing travel related factors in the scheme abandons excessive interference information in a conventional map, enhances the navigation effect of the hand-drawn map, combines the hand-drawn map with a third-party map, can ensure the attractiveness, retains the original function of the third-party map, and can increase the experience of users; and whether the user finishes the tour of a certain target scenic spot can be judged by adding the formation of tasks in the tour process, corresponding rewards are given when the user finishes the tour, the stickiness of the user to the scenic spot can be increased, and the win-win situation is achieved.
Additional advantages, objects, and features of the invention will be set forth in part in the description which follows and in part will become apparent to those having ordinary skill in the art upon examination of the following or may be learned from practice of the invention. The objectives and other advantages of the invention may be realized and attained by the means of the instrumentalities and combinations particularly pointed out hereinafter.
Drawings
Fig. 1 is a flowchart of an intelligent travel route recommendation method according to embodiment 1 of the present invention.
Fig. 2 is a flowchart of step S1 in fig. 1.
Fig. 3 is a schematic diagram illustrating the position of the diagonal point A, B, C, D in step S101 in fig. 2.
Fig. 4 is a flowchart of step S103 in fig. 2.
Fig. 5 is a flowchart of step S2 in fig. 1.
Fig. 6 is a flowchart of step S3 in fig. 1.
Fig. 7 is a control block diagram of an intelligent travel route recommendation method according to embodiment 2 of the present invention.
Detailed Description
The following is further detailed by way of specific embodiments:
example 1
In order to solve the problems that when the existing tourism route is planned, the personalized tourism route cannot be set according to the preference of a user, and the tourism route cannot be dynamically updated in time according to sudden events such as sudden change of weather, sudden increase of passenger flow and the like in the tourism process, so that the adaptability of the tourism route is poor and the user experience is poor, the embodiment provides the intelligent tourism route recommendation method, a plane map of a target area is processed into a hand-drawn map only containing tourism related elements, the hand-drawn map and a third-party map are combined to form a tourism map, and then the tourism route is formed on the tourism map based on the preference of the user, so that the use experience of the user can be increased practically; the corresponding tour route is generated on the tour map based on the preference of the user, the individual requirements of the user can be met, the tour route can be updated in real time through the acquired dynamic information of the target scenic spot in the tour process, the tour experience of the user is improved, and the stickiness of the user is further increased.
As shown in fig. 1, the intelligent travel route recommendation method of the embodiment includes the following steps:
s1: a travel map is generated that includes travel-related elements.
Specifically, a planar map of a target area is obtained through third-party map software, non-travel-related elements in the planar map are removed, the planar map is processed into a hand-drawn map only containing travel-related elements, and the hand-drawn map of the target area and the third-party map are led into a unity engine to be registered, so that the travel map of the target area is formed.
As shown in fig. 2, the specific steps of step S1 include:
s101: and acquiring the plane map and longitude and latitude coordinates of opposite angles of the plane map.
Firstly, a planar map of a target area is obtained through third-party map software according to a preset map grade. In this embodiment, the third-party map software is a water channel injection universal map downloader; in other embodiments, a google satellite map downloader, a BIGEMAP map downloader, or a full-featured electronic map downloader may also be used to obtain satellite images of the target area. Specifically, a planar map of a target area is searched in a water channel injection universal map downloader, a map grade is set according to requirements, the planar map is downloaded, and the planar map is stored in a tif format; in the present embodiment, the map level is preferably 15 levels.
As shown in fig. 3, at least two diagonal longitude and latitude coordinates are determined on the plane map, and the two diagonal longitude and latitude coordinates may be the longitude and latitude coordinates (X) of the upper left corner point a of the plane mapA,YA) (wherein: xAIs the longitude of point A, YALatitude of point a) and longitude and latitude coordinates (X) of lower right corner point DD,YD) (wherein: xDIs the longitude of point D, YDLatitude of point D), or latitude and longitude coordinates (X) of upper right corner point B of the plane mapB,YB) (wherein: xBIs the longitude of point B, YBLatitude of point B) and longitude and latitude coordinates (X) of lower left corner point CC,YC) (wherein: xCIs the longitude of point C, YCThe latitude of point C) or the longitude and latitude coordinates of each point on four opposite angles on the plane map.
S102: and removing non-travel related elements to generate a hand-drawn map of the target area.
And removing non-travel related elements except travel related elements on the plane map by using third-party drawing software to generate a hand-drawn map of the target area. In this embodiment, the third party drawing software is Photoshop; in other embodiments, other mapping software such as coreldaw, SAI, etc. may be used to process the planar map.
Specifically, the planar map of the target area is imported into Photoshop, unnecessary elements (namely non-travel related elements) in the planar map are removed, only travel related elements in the planar map are reserved, and the Photoshop is used for performing hand-drawing on the travel related elements on the planar map to form a hand-drawn map only containing the travel related elements, so that the effect that the whole map only exists for the travel related elements is achieved, the visual effect of a user can be improved, and travel is focused. In the present embodiment, the travel-related elements include, but are not limited to, scenic spots, transportation lines (roads, railways, etc.), transportation facilities (stations, yards, etc.), meals, lodging, parking lots, etc.
S103: and registering the hand-drawn map and the third-party map to generate a travel map.
Specifically, longitude and latitude coordinates of a central point on a plane map are calculated, a third-party map is accessed into a unity engine, the hand-drawn map is imported into the unity engine, and the hand-drawn map and the third-party map are registered based on the longitude and latitude coordinates of the central point to obtain a tourist map of a target area.
In this embodiment, after the hand-drawn map is registered with the third-party map, the user may autonomously select to display or hide the hand-drawn map. Namely, when the hand-drawn map is displayed, the hand-drawn map is covered on a third-party map, so that the purpose of beautifying the visual effect is achieved, the use experience of a user is improved, and when the hand-drawn map is hidden, the third-party map of a target area is displayed, so that the navigation and other functions of the original map are not influenced, original various map marks (such as road names, villages, towns, mountains, buildings and the like) are displayed, and the hand-drawn map is used as a common map, so that the scheme has higher adaptability.
As shown in fig. 4, the specific steps of step S103 include:
s1031: and calculating the longitude and latitude coordinates of the central point on the plane map according to the longitude and latitude coordinates of the diagonal point on the plane map.
Specifically, the longitude and latitude coordinates of the center point P of the plane map are calculated according to the longitude and latitude coordinates of at least two opposite angles acquired on the plane map in step S101 (as shown in fig. 3). In the present embodiment, the latitude and longitude coordinates (X) of the upper left corner point a on the plane map are passedA,YA) And longitude and latitude coordinates (X) of the lower right corner point DD,YD) Calculating longitude and latitude coordinates (X) of the central point P of the plane mapP,YP) Wherein: xPLongitude of the center point P, XP＝(XD-XA)/2；YPLatitude, Y, of the center point PP＝(YD-YA)/2. In other embodiments, the latitude and longitude coordinates (X) of the upper right corner B can also be passedB,YB) And the longitude and latitude coordinates of the lower left corner point C, the longitude and latitude coordinates of the central point P are calculated, and the calculation method is consistent with the present embodiment and is not repeated here.
S1032: and accessing a third-party map in the unity engine, and endowing the longitude and latitude of the central point to the third-party map in the unity engine.
Specifically, a third-party map is accessed in a unity engine, a map of a target area in the third-party map is used as a working visual area of the unity engine, and longitude and latitude coordinates (X) of a central point P on the plane map are usedP,YP) And importing the map into the unity engine and giving the map to the third party. In this embodiment, the third-party map is an Tencent map, and an interface for accessing the Tencent map to a unity engine is provided by Tencent map software.
S1033: and importing the hand-drawn map into a unity engine to be registered with a third-party map, so as to obtain the tourist map.
Firstly, adjusting the position of a third-party map in the work visible area of the unity engine based on the longitude and latitude coordinates of the central point P, and enabling the third-party map to be horizontally and vertically centered and displayed in the work visible area of the unity engine by taking the central point P as a reference. Then, the map level of the third party map is set to the same map level as the plan map (i.e., 15 levels of the present embodiment). And finally, importing the hand-drawn map into a unity engine, setting the hand-drawn map in a working visual area of the unity engine to be horizontally, vertically and centrally by taking the true north as a direction, so that the travel related elements on the hand-drawn map are overlapped with the corresponding elements on a third-party map, and obtaining the travel map of a target area only containing the travel related elements, thereby achieving the purpose of beautifying the map visual effect and improving the use experience of a user.
In this embodiment, since the hand-drawn map is drawn from the planar map, and the map level of the planar map is 15 levels, which is consistent with the map level of the third-party map, the hand-drawn map and the third-party map can be registered by horizontally centering the hand-drawn map and the third-party map in the working visible area of the unity engine with the central point P as the reference without converting the scale between the hand-drawn map and the third-party map, which is convenient and fast.
S2: and creating a tourist scenic spot database and storing scenic spots in a classified mode.
And establishing a tourist attraction database, acquiring the attraction information of all the attractions in the tourist map, and storing the attractions and the attraction information corresponding to the attractions in the tourist attraction database according to preset classification.
As shown in fig. 5, the specific steps of step S2 include:
s201: and creating a tourist attraction database and acquiring all the attraction information in the target area.
Specifically, a tourist attraction database is created, and a plurality of attraction category sets are formed in the tourist attraction data based on preset attraction categories, and in this embodiment, the preset attraction categories include cultural searches (such as historical ancient sites, cultural relic protection, museums, red cultural tourist bases, knight memorial places, and the like), climbing overlook (such as mountaineering sightseeing spots, natural scenery, and the like), swimming canyons (such as sightseeing ships, canyons, and the like), and parks (such as theme parks, children's paradises, zoos, and the like). And then obtaining the scenic spot information of each scenic spot in the target area, in this embodiment, the scenic spot information includes static information and dynamic information, the static information includes but is not limited to a name of the scenic spot, an introduction of the scenic spot, and a map of the scenic spot, and the dynamic information includes but is not limited to a distance between each scenic spot in the target area and the user, real-time weather data and real-time passenger flow volume data of each scenic spot, wherein the content of the name of the scenic spot, the introduction of the scenic spot, and the like can be obtained by crawling and the like, the map of the scenic spot is obtained according to the following step S202, and the distance between each scenic spot in the target area and the user, the real-time weather data and the real-time passenger flow volume data of each scenic spot are obtained through the following step S203.
S202: and (4) segmenting the tourist map to obtain the scenic spot map of each scenic spot.
Specifically, the area of each scenic spot in the tourist map is divided into a plurality of scenic spot maps according to a preset size, each scenic spot corresponds to one scenic spot map, the scenic spot maps are amplified according to the map grade (namely 15 grades) equal to that of the tourist map, and the amplified scenic spot maps are stored in the corresponding scenic spot information in the tourist spot database, so that when a user selects a certain scenic spot, the user can quickly link to the corresponding scenic spot map stored in the tourist spot database and display the scenic spot map, and the user can check detailed information such as an entrance, a route and the like of the scenic spot in detail.
S203: and acquiring and storing scenic spot distance, real-time weather data and real-time passenger flow.
Specifically, third-party map software (in this embodiment, an Tencent map) is accessed, the position of the user is obtained in real time, the real-time distance between the current position of the user and each scenic spot in the target area is calculated, and the real-time distance is stored in the corresponding scenic spot information in the tourist spot database. In this embodiment, since the user is moving, the real-time distance between the user and the scenic spot needs to be obtained, so that the tour route can be recommended to the client according to the distance. And accessing a third-party weather platform (such as a Chinese weather network, Google weather and the like), acquiring real-time weather data of each scenic spot in the target area, and storing the real-time weather data into the corresponding scenic spot information in the tourist-scene-spot database. And accessing a third-party passenger flow volume statistical platform (such as passenger flow volume statistical software of a Baidu intelligent cloud) to obtain the real-time passenger flow volume of each scenic spot in the target area, and storing the real-time passenger flow volume into the corresponding scenic spot information in the tourist spot database.
S3: based on the N target scenic spots planned to be visited by the user, a first tour route is generated according to the user preference.
Specifically, before going out a tour, a user selects N target scenic spots planned to be browsed, then based on the N target scenic spots selected by the user, information of the corresponding scenic spots is acquired in a tourist spot database, and a first tour route is generated according to the preference of the user.
As shown in fig. 6, the specific steps of step S3 include:
s301: and acquiring the scenic spot information of the N target scenic spots.
And acquiring the distance between the corresponding target scenic spot and the user, real-time weather data and real-time passenger flow data of each target scenic spot in the tourist spot database based on the N target scenic spots planned to be visited by the user.
S302: the preferences of the user are obtained and the priority order is set.
Acquiring the preference of a user for visiting, wherein in the embodiment, the preference at least comprises the distance between a target scenic spot and the current position of the user, real-time weather data of the target scenic spot and real-time passenger flow of the target scenic spot; and acquiring a priority sequence set by the user for the preference, wherein the priority sequence represents the priority sequence considered by the user for the preference during the tour, if the distance between the target scenic spot and the current position of the target scenic spot is considered preferentially, the distance is listed as a first considered factor, then the real-time weather of the target scenic spot is considered, the weather is listed as a second considered factor, finally the real-time passenger flow of the target scenic spot is considered, the passenger flow is listed as a third considered factor, and so on, various personalized priority sequences can be formed according to the preference of the user, and further a personalized tour route is generated.
S303: and generating a first tour route according to the priority corresponding to the preference.
Specifically, according to a set priority order, marking the preference of a user as first to Mth preferences, extracting the scenic spot information corresponding to the N target scenic spots, respectively acquiring values corresponding to the N target scenic spots from the scenic spot information according to the first preference to form first preference factors, and sequencing the N scenic spots according to the first preference factors to obtain a first target scenic spot sequence; judging whether target scenic spots with equal first preference factors exist in the first target scenic spot sequence, if not, generating the first tour route according to the sequence of N target scenic spots determined by the first target scenic spot sequence; if the target scenic spot sequence exists, extracting X target scenic spots with equal first preference factors from the first target scenic spot sequence (wherein X is less than or equal to N), respectively obtaining values corresponding to the X target scenic spots from the scenic spot information according to second preference to form second preference factors, and sequencing the X target scenic spots according to the second preference factors to obtain a second target scenic spot sequence; judging whether a target scene with the same second preference factor exists in the second target scene sequence, if not, inserting the second target scene sequence into the original sequence of the first target scene sequence to determine the sequence of N target scenes to generate the first tour route; if yes, Y target scenic spots with the same second preference factor are extracted from the second target scenic spot sequence (wherein Y is less than or equal to X), values corresponding to the Y target scenic spots are obtained from the scenic spot information respectively according to third preference to form third preference factors, the Y target scenic spots are sequenced according to the third preference factors to obtain a third target scenic spot sequence, and the like until the first tour route is generated after the M preference factor obtained by the M preference calculation is judged to be finished.
In this embodiment, it is determined whether the first to mth preference factors are equal, first to mth error coefficients are respectively set for the first to mth preference factors, and the first to mth preference factors satisfying the corresponding first to mth error coefficients are all regarded as being equal.
In the present embodiment, the above step S303 is described by taking the priority order of distance > weather > passenger flow as an example. Assuming that a user plans to visit 5 target scenic spots, which are recorded as a1, a2, A3, a4 and a5, first, if the distance is a first preference, the first preference factors formed by obtaining values of the distances between the user and the target scenic spots a1, a2, A3, a4 and a5 are 40KM, 27.9KM, 10KM, 30.4KM and 26.8KM, respectively, then the 5 target scenic spots are sorted according to the first preference factors to obtain a first target scenic spot sequence A3-a5-a2-a4-a1, the error coefficient of the distance is set to be 5KM, the first preference factors of the target scenic spots a5, a2 and A3 are considered to be equal, and then the target scenic spots with the same first preference factor exist in the first target scenic spot sequence. Secondly, the weather is a second preference, because the weather data is non-numerical data, in this embodiment, three second preference factors with priority order of clear day (including clear, cloudy-cloudy, and so on) > rainy day (light rain, medium rain, heavy rain, and so on) > snowy day (including small snow, medium snow, and heavy snow, and so on) are formed by a admittance method, then the second preference factors formed by the real-time weather of the target scenic spots a5, a2, and A3 are obtained as rainy day, clear day, and clear day, respectively, and then the target scenic spots a5, a2, and A3 are sorted according to the second preference factors to obtain a second target scenic spot sequence a2-A3-a5, and since the second preference factors of the target scenic spots a2 and A3 are both clear days, then target scenic spots with the second preference factors being equal exist in the second target scenic spot sequence. Finally, the passenger flow is the third preference, the third preference factors formed by the values of the real-time passenger flows of the target scenic spots A2 and A3 are obtained and are 1200 persons and 1000 persons respectively, the target scenic spots A2 and A3 are subjected to deviation sequence according to the third preference factors to form a third target scenic spot sequence A3-A2, the error coefficient of the third preference factors is set to be 100 persons, the target scenic spots with the same third preference factors do not exist in the third target scenic spot sequence at the moment, the third target scenic spot sequence is inserted into the second target scenic spot sequence to obtain a new second target scenic spot sequence A3-A2-A5, the new second target scenic spot sequence is inserted into the first target scenic spot sequence to obtain a first tour route A4-A3-A2-A5-A1, and the process is repeated according to the set preference factors, until all the preferences are sorted or no target scene with the same n-th preference factor exists in the mth target scene sequence (wherein M is less than or equal to M).
S4: and acquiring the real-time position of the user, and updating the tour route.
Specifically, the real-time position of a user is obtained, and after the user reaches a corresponding first target scenic spot in a first tour route, whether the user finishes the tour of the first target scenic spot is judged according to a preset condition; and after the user finishes the tour of the first target scenic spot, generating a second tour route on the basis of the rest N-1 target scenic spots according to the preference of the user and the method in the step S303, and by analogy, dynamically updating the tour route until the tour is finished so as to deal with the emergency in the tour process, so that the generated tour route has higher adaptability.
In this embodiment, when determining whether the target scenic spot is visited completely, the method may be performed in combination with an interesting task, for example, when it is recognized that the user walks to a specified location, a corresponding pattern or object is found, the pattern or object photo is uploaded by means of photographing, scanning, and the like, the photo uploaded by the user is compared with a pre-stored picture, and if the comparison is successful, the task is regarded as completed, and the text introduction, the voice introduction, the video introduction, and the like of the corresponding pattern, object, or current scenic spot are pushed to the user, so that the effects of popularization and culture propagation enhancement can be achieved, and the stickiness of the user can be increased. As another example, the user may be considered to complete the task when walking to the specified location, according to the task direction.
According to the embodiment, the personalized tour route is generated based on the preference of the user, the follow-up tour route can be updated in real time in the tour process, sudden events such as weather and sudden passenger flow can be responded in time, the adaptability is better, the adverse effect on the tour process of the user is avoided, and the tour experience of the user is greatly improved.
Example 2
FIG. 7 is a control block diagram of an intelligent tour route query system according to this embodiment. The intelligent tour route query system of the embodiment can perform personalized tour route recommendation on the user through the intelligent tour route recommendation method of the embodiment 1, and can perform classified display on scenic spots based on the request of the user, so as to improve the use experience of the user. Specifically, the present embodiment includes a tourist map generating module 1, a scenic spot map generating module 2, a data acquiring module 3, a tourist spot database 4, a tour route generating module 5, and a scenic spot classification displaying module 6. In this embodiment, the tourist map generation module, the scenic spot map generation module, the data acquisition module, the tourist spot database, the tour route generation module, and the scenic spot classification display module are all built in a mobile terminal in an application program manner, and the mobile terminal may be a mobile phone, a tablet computer, a notebook computer, or any other electronic device having functions of storage, display, human-computer interaction, high-speed calculation, and the like. Wherein:
the tourist map generation module 1 generates a hand-drawn map of a target area according to a planar map of the target area acquired from third-party map software, and registers the hand-drawn map and the third-party map to form a tourist map containing tourist related elements. Specifically, the planar map of the target area is imported into Photoshop, unnecessary elements (namely non-travel related elements) in the planar map are removed, only travel related elements in the planar map are reserved, and the Photoshop is used for performing hand-drawing on the travel related elements on the planar map to form a hand-drawn map only containing the travel related elements, so that the effect that the whole map only exists for the travel related elements is achieved, the visual effect of a user can be improved, and travel is focused. In the present embodiment, the travel-related elements include, but are not limited to, scenic spots, transportation lines (roads, railways, etc.), transportation facilities (stations, yards, etc.), meals, lodging, parking lots, etc. And then, calculating longitude and latitude coordinates of a central point on the plane map, accessing a third-party map in a unity engine, importing the hand-drawn map into the unity engine, and registering the hand-drawn map and the third-party map based on the longitude and latitude coordinates of the central point to obtain a tourist map of a target area. In this embodiment, after the hand-drawn map is registered with the third-party map, the user may autonomously select to display or hide the hand-drawn map. Namely, when the hand-drawn map is displayed, the hand-drawn map is covered on a third-party map, so that the purpose of beautifying the visual effect is achieved, the use experience of a user is improved, and when the hand-drawn map is hidden, the third-party map of a target area is displayed, so that the navigation and other functions of the original map are not influenced, original various map marks (such as road names, villages, towns, mountains, buildings and the like) are displayed, and the hand-drawn map is used as a common map, so that the scheme has higher adaptability.
The scenic spot map generating module 2 receives the tourist map generated by the tourist map generating module 1, divides the area of each scenic spot in the tourist map into a plurality of scenic spot maps according to the preset size, wherein each scenic spot corresponds to one scenic spot map, and amplifies the scenic spot maps according to the map grade equal to that of the tourist map so as to independently display each scenic spot.
The data acquisition module 3 acquires the real-time distance between the user and each scenic spot in the target area, and the real-time weather data and the real-time passenger flow volume of each scenic spot in the target area. Specifically, third-party map software (in this embodiment, an Tencent map) is accessed, the position of the user is obtained in real time, the real-time distance between the current position of the user and each scenic spot in the target area is calculated, and the real-time distance is stored in the corresponding scenic spot information in the tourist spot database. In this embodiment, since the user is moving, the real-time distance between the user and the scenic spot needs to be obtained, so that the tour route can be recommended to the client according to the distance. And accessing a third-party weather platform (such as a Chinese weather network, Google weather and the like), acquiring real-time weather data of each scenic spot in the target area, and storing the real-time weather data into the corresponding scenic spot information in the tourist-scene-spot database. And accessing a third-party passenger flow volume statistical platform (such as passenger flow volume statistical software of a Baidu intelligent cloud) to obtain the real-time passenger flow volume of each scenic spot in the target area, and storing the real-time passenger flow volume into the corresponding scenic spot information in the tourist spot database.
The scenic spot database 4 stores scenic spot information of all scenic spots in the target area in a classified manner. Specifically, the method comprises the steps of establishing corresponding scene zone classification sets in tourist scene zone data according to the types of the scene zones (such as cultural exploration types, overlook types, tourist gorges and parks types and the like), storing the corresponding scene zones in the corresponding scene zone classification sets in a classification mode, and endowing each scene zone classification set with a unique ID number. When a user selects a certain scenic spot, the corresponding scenic spot map stored in the scenic spot database can be quickly linked and displayed, so that the user can check detailed information such as an entrance, a route and the like of the scenic spot in detail.
In this embodiment, the scenic spot information of the tourist spot includes static information and dynamic information, the static information at least includes a name of the scenic spot, an introduction of the scenic spot, and a map of the scenic spot, and the dynamic information at least includes a real-time distance between the scenic spot and the user, real-time weather data of the scenic spot, and a real-time passenger flow volume of the scenic spot. In this embodiment, the scenic spot names, the scenic spot profiles and other contents can be obtained by crawling and other manners, the scenic spot map is generated by the scenic spot map generation module 3, and the distances between the scenic spots and the users in the target area, the real-time weather data and the real-time passenger flow data of the scenic spots are obtained by the data obtaining module 4.
The tour route generating module 5 generates and dynamically updates the tour route according to the tour map generated by the tour map generating module 1 and the scenic spot information stored in the scenic spot database 4. Specifically, the tour route generating module 5 includes a scenic spot information acquiring unit 51, a preference weight setting unit 52, a route generating unit 53, and a route updating unit 54. Wherein:
the scenic spot information obtaining unit 51 obtains, based on the N target scenic spots that the user plans to visit, the distance between the corresponding target scenic spot and the user, real-time weather data and real-time passenger flow volume data of each target scenic spot in the tourist-scene-spot database 4.
The preference weight setting unit 52 sets the priority order of the preferences according to the preference of the user. In this embodiment, the preference at least includes a distance between the target scenic spot and the current position of the user, real-time weather data of the target scenic spot, and real-time passenger flow volume of the target scenic spot; the priority order of the preferences is distance > weather > traffic volume.
The route generating unit 53 generates a first tour route according to the scenic spot information of the N target scenic spots acquired by the scenic spot information acquiring unit 51 and the priority order of the preference set by the preference weight setting unit 52. Specifically, according to a set priority order, marking the preference of a user as first to Mth preferences, extracting the scenic spot information corresponding to the N target scenic spots, respectively acquiring values corresponding to the N target scenic spots from the scenic spot information according to the first preference to form first preference factors, and sequencing the N scenic spots according to the first preference factors to obtain a first target scenic spot sequence; judging whether target scenic spots with equal first preference factors exist in the first target scenic spot sequence, if not, generating the first tour route according to the sequence of N target scenic spots determined by the first target scenic spot sequence; if the target scenic spot sequence exists, extracting X target scenic spots with equal first preference factors from the first target scenic spot sequence (wherein X is less than or equal to N), respectively obtaining values corresponding to the X target scenic spots from the scenic spot information according to second preference to form second preference factors, and sequencing the X target scenic spots according to the second preference factors to obtain a second target scenic spot sequence; judging whether a target scene with the same second preference factor exists in the second target scene sequence, if not, inserting the second target scene sequence into the original sequence of the first target scene sequence to determine the sequence of N target scenes to generate the first tour route; if yes, Y target scenic spots with the same second preference factor are extracted from the second target scenic spot sequence (wherein Y is less than or equal to X), values corresponding to the Y target scenic spots are obtained from the scenic spot information respectively according to third preference to form third preference factors, the Y target scenic spots are sequenced according to the third preference factors to obtain a third target scenic spot sequence, and the like until the first tour route is generated after the M preference factor obtained by the M preference calculation is judged to be finished.
In this embodiment, it is determined whether the first to mth preference factors are equal, first to mth error coefficients are respectively set for the first to mth preference factors, and the first to mth preference factors satisfying the corresponding first to mth error coefficients are all regarded as being equal.
The route updating unit 54 may obtain the position of the user in real time, and when the user finishes the tour of the nth target scenic spot (where N is less than or equal to N), update the tour route on the basis of the remaining nth-nth target scenic spots again according to the scenic spot information of the N-N target scenic spots obtained by the scenic spot information obtaining unit 51 and the priority order of the preference set by the preference weight setting unit 52 until the tour is finished to cope with an emergency in the tour process, so that the generated tour route has more adaptability.
The scenic spot classification display module 6 can identify the ID number of the corresponding scenic spot type based on the request of the user, extract all the scenic spot information under the type from the tourist spot database 4 according to the ID number for display, and hide the scenic spots and the scenic spot maps of the remaining types. In the specific implementation of this embodiment, when a user requests to query a certain category of scenic spots, the scenic spot classification display module first identifies the unique ID number of the category, so as to retrieve all of the scenic spots of the category, so that only the scenic spots of the category are displayed on the tourist map and the rest of the scenic spots are hidden, so that the user can quickly find the scenic spots desired to be visited and view the scenic spot information corresponding to the scenic spots.
In the embodiment, the tourist map generating module 1 is arranged, and the tourist map only containing tourist related elements is generated by combining the hand-drawn map and the third-party map, so that the attractiveness of the hand-drawn map is ensured, the original function of the third-party map is retained, and the experience of a user can be effectively improved; and through setting up scenic spot classified storage and classified display of scenic spot database 4 and scenic spot classified display module 6 to the scenic spot classification of target area, can help the user to filter the scenic spot of different types fast, be convenient for the user to find the scenic spot of planning the tourism fast, further promoted user's use experience, be favorable to improving the user to the viscidity of system and scenic spot, promote the double exhibition of platform and scenic spot, reach the situation of win-win.
The foregoing is merely an example of the present invention and common general knowledge of known specific structures and features of the embodiments is not described herein in any greater detail. It should be noted that, for those skilled in the art, without departing from the structure of the present invention, several changes and modifications can be made, which should also be regarded as the protection scope of the present invention, and these will not affect the effect of the implementation of the present invention and the practicability of the present invention.
Claims (10)
1. An intelligent tour route recommendation method is characterized by comprising the following steps:
s1: acquiring a planar map of a target area, processing the planar map into a hand-drawn map only containing travel related elements, and registering the hand-drawn map of the target area with a third-party map to form a travel map;
s2: creating a tourist attraction database, acquiring the attraction information of all the attractions in the tourist map, and storing the attractions and the attraction information corresponding to the attractions in the tourist attraction database according to preset classification;
s3: acquiring scenic spot information of corresponding scenic spots in a tourist spot database based on N target scenic spots planned to be visited by a user, and generating a first tour route according to the preference of the user;
s4: and acquiring the real-time position of the user, and when the user finishes the tour of the first target scenic spot, generating a second tour route based on the remaining N-1 target scenic spots according to the preference of the user again so as to update the tour route in real time in the tour process of the user until the tour is finished.
2. The intelligent tour route recommendation method according to claim 1, wherein the specific steps of step S1 include:
s101: acquiring a plane map of a target area according to a preset map grade, processing the plane map into a preset format, and acquiring longitude and latitude coordinates of at least two opposite angles on the plane map;
s102: removing non-travel related elements except travel related elements on the plane map by using third-party drawing software to generate a hand-drawn map of the target area;
s103: and registering the hand-drawn map and a third-party map to obtain a tourist map of a target area.
3. The intelligent tour route recommendation method according to claim 2, wherein the specific steps of step S103 include:
s1031: calculating longitude and latitude coordinates of a central point of the plane map according to the longitude and latitude coordinates of at least two opposite angles acquired on the plane map in the step S101;
s1032: accessing a third-party map in a unity engine, and endowing the longitude and latitude coordinates of the central point in the step S1031 to a map of a target area in the third-party map;
s1033: and adjusting the position of a third-party map in a working visible area of a unity engine based on the longitude and latitude coordinates of the central point, setting the map grade of the third-party map to be the same as that of the planar map, importing the hand-drawn map into the unity engine, and registering the hand-drawn map and the third-party map to obtain the tourist map.
4. The intelligent tour route recommendation method according to claim 1, wherein the specific steps of step S2 include:
s201: creating a tourist attraction database, and acquiring all attraction information in a target area;
s202: dividing the area of each scenic spot in the tourist map into a plurality of scenic spot maps according to a preset size, amplifying the scenic spot maps according to the same map grade as the tourist map, and storing the amplified scenic spot maps into corresponding scenic spot information in a tourist spot database;
s203: the method comprises the steps of obtaining real-time weather data and real-time passenger flow of each scenic spot in a target area and real-time distance between a user and each scenic spot in the target area, and dynamically storing the real-time weather data, the real-time passenger flow and the real-time distance in corresponding scenic spot information in a tourist spot database.
5. The intelligent tour route recommendation method of claim 4, wherein the specific steps of step S3 include:
s301: acquiring corresponding scenic spot information in a tourist spot database based on N target scenic spots planned to be visited by a user;
s302: the method comprises the steps of obtaining preferences of a user and setting a corresponding priority sequence, wherein the preferences at least comprise the distance between a target scenic spot and the current position of the user, real-time weather data of the target scenic spot and real-time passenger flow of the target scenic spot;
s303: and generating a first tour route according to the priority corresponding to the preference.
6. The intelligent tour route recommendation method according to claim 5, wherein in step S303, the specific method for generating the first tour route is as follows:
recording the preference of a user as first to Mth preferences according to a set priority sequence, extracting the scenic spot information corresponding to the N target scenic spots, respectively acquiring values corresponding to the N target scenic spots from the scenic spot information according to the first preference to form first preference factors, and sequencing the N scenic spots according to the first preference factors to obtain a first target scenic spot sequence;
judging whether target scenic spots with equal first preference factors exist in the first target scenic spot sequence, if not, generating the first tour route according to the sequence of N target scenic spots determined by the first target scenic spot sequence; if yes, extracting X target scenic spots with equal first preference factors from the first target scenic spot sequence, respectively obtaining values corresponding to the X target scenic spots from the scenic spot information according to second preference to form second preference factors, and sequencing the X target scenic spots according to the second preference factors to obtain a second target scenic spot sequence;
judging whether a target scene with the same second preference factor exists in the second target scene sequence, if not, inserting the second target scene sequence into the original sequence of the first target scene sequence to determine the sequence of N target scenes to generate the first tour route; if yes, Y target scenic spots with the same second preference factor are extracted from the second target scenic spot sequence, values corresponding to the Y target scenic spots are obtained from the scenic spot information respectively according to third preference to form third preference factors, the Y target scenic spots are sequenced according to the third preference factors to obtain a third target scenic spot sequence, and the process is repeated until the Mth preference factor obtained by the Mth preference calculation is judged to be finished to generate the first tour route.
7. The method as claimed in claim 6, wherein in step S303, if the first to M-th preference factors are equal, the first to M-th error coefficients are set for the first to M-th preference factors, respectively, and the first to M-th preference factors are equal to each other.
8. The intelligent tour route recommendation method according to claim 6, wherein the specific method in step S4 is as follows:
the method comprises the steps that the real-time position of a user is obtained, and after the user reaches a corresponding first target scenic spot in a first tour route, whether the user finishes the tour of the first target scenic spot is judged according to preset conditions; and after the user finishes the tour of the first target scenic spot, generating a second tour route on the basis of the rest N-1 target scenic spots according to the preference of the user and the method in the step S303, and dynamically updating the tour route by analogy until the tour is finished.
9. An intelligent tour route inquiry system, comprising:
the tourist map generation module is used for generating a hand-drawn map of the target area according to the acquired plane map of the target area and registering the hand-drawn map and a third-party map to form a tourist map containing tourist related elements;
the scenic spot map generating module is used for generating a scenic spot map corresponding to each scenic spot according to the tourist map;
the data acquisition module is used for acquiring the real-time distance between the user and each scenic spot in the target area and the real-time weather data and the real-time passenger flow volume of each scenic spot in the target area;
the tourist attraction database is used for storing the attraction information of all the attractions in the target area in a classified manner, wherein the attraction information comprises static information and dynamic information, the static information at least comprises attraction names, attraction introduction and attraction maps, and the dynamic information at least comprises the real-time distance between the attractions and a user, the real-time weather data of the attractions and the real-time passenger flow of the attractions; and
the tour route generation module is used for generating and dynamically updating tour routes, and comprises a scenic spot information acquisition unit, a preference weight setting unit, a route generation unit and a route updating unit, wherein:
the scenic spot information acquisition unit is used for acquiring corresponding scenic spot information in the tourist spot data according to N target scenic spots planned to be visited by the user;
the preference weight setting unit is used for setting the priority order of each preference according to the preference of the user;
the route generating unit is used for generating a first tour route according to the priority order of the preference;
and the route updating unit is used for updating the tour route on the basis of the rest (N-N) th target scenic spots according to the priority order of the preference again until the tour is finished when the user finishes the tour of the nth target scenic spot.
10. The intelligent tour route inquiry system of claim 9, further comprising a scenic region classification display module,
the scenic spot classification display module is used for identifying the corresponding scenic spot type according to the request of the user, extracting all the scenic spot information under the type to display, and hiding the scenic spots of the rest types and the scenic spot maps thereof.
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