Scenic area guide intelligent interaction method and system based on data analysis

Abstract

The invention discloses a scenic spot guide intelligent interaction method and system based on data analysis, and belongs to the technical field of data analysis. According to the method, terminal equipment is configured in zoned scenic spots of a scenic area, and monitoring equipment is arranged along a route to collect data; constructing a navigation database to record route information and time-phased people flow data, and forming an initial touring route of the user; dynamically updating the route according to user operation and generating a preorder scenic spot set; and locking route information based on the preorder set, analyzing the overlap ratio of route segments, and recommending an optimal route to the user in combination with real-time people flow data. The system comprises a terminal and monitoring configuration module, a guide data management module, a route updating and preorder set generation module and an optimal route recommendation module. According to the invention, dynamic, personalized and intelligent scenic area guide is realized, congestion can be avoided in real time, user demand changes can be responded in real time, the sightseeing efficiency and experience of users are improved, and data support is provided for scenic area management.

Description

Technical Field

[0001] The present invention relates to the technical field of data analysis, and in particular to a method and system for intelligent interaction of scenic spot navigation based on data analysis. Background Art

[0002] With the rapid development of the tourism industry, the demand for intelligent scenic spot guide services is becoming increasingly prominent. Existing scenic spot guide systems often rely on fixed route signage, paper maps, or simple electronic maps, which have significant shortcomings: First, they cannot obtain real-time pedestrian flow data for each route segment, making it easy for users to stray into congested sections, resulting in inefficient tours and poor real-time performance. Second, route recommendations are fixed, not taking into account users' dynamically adjusted tour sequences (such as temporary changes in attraction priorities), lacking personalized adaptation. Third, user behavior data (such as the determined tour sequence) and scenic spot environmental data (such as route distribution) are not effectively integrated, making intelligent interaction difficult and fragmenting the guide data. Furthermore, although some scenic spots have introduced electronic guide systems, they often focus on displaying attraction information and recommend routes based solely on distance, without considering the universal applicability of routes (such as overlapping sections selected by most users). This may lead to the recommendation of niche and difficult routes, resulting in a single-minded decision. Summary of the Invention

[0003] The purpose of the present invention is to provide a method and system for intelligent interaction of scenic area navigation based on data analysis, so as to solve the problems raised in the above background technology.

[0004] In order to solve the above technical problems, the present invention provides the following technical solutions:

[0005] An intelligent interactive system for scenic area tours based on data analysis, comprising: a terminal and monitoring configuration module, a tour data management module, a route update and preamble generation module, and an optimal route recommendation module;

[0006] The terminal and monitoring configuration module is used to configure terminal devices at scenic spots, deploy monitoring equipment along the route and divide the route into sections;

[0007] The guide data management module is used to build a guide database for each zoned scenic spot, record route information and number of people, divide the time nodes and count the number of people in each route section, and collect the zoned scenic spots visited by users and the order in which they are visited to form a tour route;

[0008] The route updating and pre-order set generating module is used to update the tour route according to the user operation, and generate a pre-order scenic spot set with a certain sub-area scenic spot as the next tour object based on the updated route;

[0009] The optimal route recommendation module is used to lock the route information based on the previous scenic spot set, analyze the degree of overlap of route segments, and recommend the optimal route to the user based on the number of people in each time period.

[0010] Furthermore, the terminal and monitoring configuration module includes a terminal configuration unit and a monitoring deployment unit;

[0011] The terminal configuration unit is used to configure terminal devices at each scenic spot in the scenic area to display tourist project information;

[0012] The monitoring arrangement unit is used to arrange monitoring devices along the tour route and encode them in sequence, forming route segments between adjacent monitoring devices.

[0013] Furthermore, the navigation data management module includes a database configuration unit, a time node division unit and a user route collection unit;

[0014] The database configuration unit is used to configure a guide database for each sub-area scenic spot, recording route information between different sub-area scenic spots and the number of people in the route segment;

[0015] The time node division unit is used to divide the time of the scenic spot opening day into multiple time nodes, and instruct the monitoring device to count the number of people on the route section at each time node;

[0016] The user route collection unit is used to collect the sub-area attractions and the order of the visits determined by the user after the user passes the terminal device identity authentication, so as to form the user's visit route.

[0017] Furthermore, the route updating and preamble set generating module includes a route updating unit and a preamble scenic spot set generating unit;

[0018] The route updating unit is used to update the user's tour route when the user determines to change the tour order of the zoned attractions; if the tour order remains unchanged, the original tour route is maintained;

[0019] The preceding scenic spot set generating unit is configured to generate a preceding scenic spot set with a certain subarea scenic spot as the next touring object based on the updated touring route.

[0020] Furthermore, the optimal route recommendation module includes a route coincidence analysis unit and a route screening and recommendation unit;

[0021] The route overlap analysis unit is used to lock relevant route information based on the previous scenic spot set and analyze the overlap degree of route segments;

[0022] The route screening and recommendation unit is used to combine the number of people in the route segments counted at each time node to screen out the route with the best combination of overlap and number of people, and use it as the best route for the user to go to the next sub-area attraction, and interactively display it through the terminal device.

[0023] A method for intelligent interaction of scenic area guide based on data analysis, comprising the following steps:

[0024] Step S1: terminal devices are configured at scenic spots within the scenic area, and monitoring devices are deployed along the tour route to divide the route into sections;

[0025] Step S2: Build a guide database for each zoned scenic spot, record route information and the number of people on the route, divide the time nodes and count the number of people on each route section during each time period, collect the zoned scenic spots determined by the user to visit and the order of visiting, and form the user's tour route;

[0026] Step S3: updating the tour route according to the user's operation at the sub-area scenic spot, and generating a previous scenic spot set with a certain sub-area scenic spot as the next tour target based on the updated tour route;

[0027] Step S4: Based on the previous set of scenic spots, relevant route information is locked, the overlap of route segments is analyzed, and the optimal route to the next sub-area scenic spot is recommended to the user based on the number of people in each time period.

[0028] Furthermore, the specific implementation process of step S1 includes:

[0029] A display terminal is configured at each sub-area scenic spot in the scenic area, and the display terminal is used to display the tourist project information of each sub-area scenic spot in the scenic area. The tourist project information is displayed by clicking the project option box on the display terminal interface;

[0030] The surveillance camera points are arranged along the route, and the surveillance camera points are coded in the order of arrangement. The e-th surveillance camera point is recorded as P e , P e+1 The surveillance camera points P are arranged in sequence e The next surveillance camera point is the surveillance camera point P arranged in sequence. e With surveillance camera point P e+1 The route segment is composed of e .

[0031] Furthermore, the specific implementation process of step S2 includes:

[0032] A navigation database is configured for each sub-area attraction, wherein the navigation database records route information from one sub-area attraction to another sub-area attraction, wherein the route information includes route segments and the number of people in the route segments;

[0033] Based on the i-th zone attraction S i With the jth partition attraction S j The route information formed between them generates a route information set, which is recorded as V(S i , S j )={K(W h )|h∈[1,H]}, and K(W h )={Le |e∈[1,E]},where K(W h ) represents the set of route segments generated by the h-th route, H represents the total number of routes, E represents the total number of route segments, and i≠j;

[0034] The time range of the scenic spot opening day is divided into time nodes, and the rth time node is recorded as t r , and at time node t r Time command monitoring camera point P e Take a video and count the route segment L e The number of people, denoted as U(L e |t r );

[0035] After the user authenticates his / her identity through the display terminal, the user determines whether to visit the partitioned attractions based on the tour item information; all the partitioned attractions that the user has decided to visit are collected, and the user's tour route cluster is formed according to the order in which the user visits the determined partitioned attractions, which is recorded as UC x ={S i |i∈[1, I]}, where I represents the total number of scenic spots in the scenic area, and x is the user's identity index number.

[0036] Furthermore, the specific implementation process of step S3 includes:

[0037] The user arrives at the zoned attraction S i When passing through the zone attractions S i After the display terminal determines the tour order of the sub-area attractions, if the determined tour order of the sub-area attractions changes, the tour route cluster UC x If the order of the sightseeing spots in the determined zones does not change, the tour route cluster UC x No update will be performed, and updated or unupdated tour routes will be grouped into UC x Recorded as like is an unupdated tour route cluster, then Among them, in the tour route cluster Central District Attractions j For zoned attractions S i The next tour order object;

[0038] Based on tour route cluster By zoning attractions S j When it is the next tour sequence object of different partition attractions, it constitutes the tour pre-order attraction set, recorded as in, represents the preceding label, and y represents the total number of users within the current scenic spot opening day.

[0039] Furthermore, the specific implementation process of step S4 includes:

[0040] Based on the pre-order scenic spot set G(S j ), lock the route information set V(S i , S j ) and take route segment L e For guidance, quantify the route segment L e The degree of overlap:

[0041] Under the constraints: the route segment set K(W h ) satisfies K(W h )∈V(S i , S j ),

[0042] Construct the judgment function F[·], if the route segment L e Exists in the route segment set K(W h ), and K(W h )∈V(S i , S j ), Then order Otherwise, Then the route segment L e The degree of overlap D(L e ):

[0043]

[0044] Where, |V(S i , S j )| represents the route information set V(S i , S j ) the number of routes included;

[0045] Based on the degree of overlap, predict the zone attractions S j The best route as the next tour sequence object for the user with identity index x:

[0046] If the user arrives at the zoned attraction S i The time at time node t r-1 and time node t r interval, then the time node t r As the index, retrieve the route segment L e The number of people U(L e |t r ), by filtering the function: Output route W h As a cluster of tour routes Central District Attractions j For zoned attractions Si The optimal route for the next tour sequence object is displayed on the display terminal. The best route for each tour sequence.

[0047] Compared with the existing technology, the beneficial effects achieved by the present invention are as follows: the present invention provides an intelligent interactive method and system for scenic spot navigation based on data analysis, by configuring terminal devices at scenic spots in the scenic area and deploying monitoring equipment along the route to collect data; building a navigation database to record route information and time-divided crowd flow data to form the user's initial tour route; dynamically updating the route according to user operations and generating a previous scenic spot set; locking the route information based on the previous set, analyzing the overlap of route segments and combining real-time crowd flow data to recommend the best route to the user; the present invention realizes the dynamic, personalized and intelligent scenic spot navigation, can avoid congestion in real time, can respond to changes in user needs in real time, improve user tour efficiency and experience, and provide data support for scenic spot management. BRIEF DESCRIPTION OF THE DRAWINGS

[0048] The accompanying drawings are used to provide further understanding of the present invention and constitute a part of the specification. They are used to explain the present invention together with the embodiments of the present invention and do not constitute a limitation of the present invention.

[0049] Figure 1 This is a schematic diagram of the steps of an intelligent interactive method for scenic area navigation based on data analysis of the present invention. DETAILED DESCRIPTION

[0050] The following will clearly and completely describe the technical solutions in the embodiments of the present invention in conjunction with the accompanying drawings. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without making creative efforts are within the scope of protection of the present invention.

[0051] In the first embodiment of the present invention, a scenic area tour intelligent interactive system based on data analysis is provided, which includes: a terminal and monitoring configuration module, a tour data management module, a route update and preamble generation module, and an optimal route recommendation module;

[0052] The terminal and monitoring configuration module is used to configure terminal devices at scenic spots, deploy monitoring equipment along the route and divide the route into sections;

[0053] Among them, the terminal and monitoring configuration module includes a terminal configuration unit and a monitoring layout unit;

[0054] The terminal configuration unit is used to configure terminal devices at each scenic spot in the scenic area to display tourist project information;

[0055] A monitoring layout unit is used to layout monitoring devices along the tour route and code them in sequence to form route segments between adjacent monitoring devices;

[0056] The guide data management module is used to build a guide database for each zoned attraction, record route information and number of people, divide time nodes and count the number of people on each route section during each time period, and collect the zoned attractions visited by users and the order in which they are visited to form a tour route;

[0057] Among them, the navigation data management module includes a database configuration unit, a time node division unit and a user route collection unit;

[0058] A database configuration unit is used to configure a guide database for each zoned scenic spot, and record route information between different zoned scenic spots and the number of people in the route segment;

[0059] A time node division unit is used to divide the time of the scenic spot opening day into multiple time nodes, and instruct the monitoring equipment to count the number of people on the route section at each time node;

[0060] The user route collection unit is used to collect the sub-areas and the order of the visits determined by the user after the user passes the terminal device identity authentication, so as to form the user's visit route;

[0061] The route update and pre-order set generation module is used to update the tour route according to user operations and generate a pre-order attraction set with a certain sub-area attraction as the next tour object based on the updated route;

[0062] The route update and pre-order set generation module includes a route update unit and a pre-order scenic spot set generation unit;

[0063] A route updating unit is used to update the user's tour route when the user decides to change the tour order of the zoned attractions; if the tour order remains unchanged, the original tour route is maintained;

[0064] A preceding scenic spot set generating unit is used to generate a preceding scenic spot set with a certain subarea scenic spot as the next touring object based on the updated touring route;

[0065] The best route recommendation module is used to lock the route information based on the previous scenic spot set, analyze the degree of overlap of route segments, and recommend the best route for users based on the number of people at each time period;

[0066] Among them, the optimal route recommendation module includes a route overlap analysis unit and a route screening and recommendation unit;

[0067] A route overlap analysis unit is used to lock relevant route information based on the previous scenic spot set and analyze the overlap degree of route segments;

[0068] The route screening and recommendation unit is used to combine the number of route segments counted at each time node to screen out the route with the best overall overlap and number of people, which serves as the best route for users to travel to the next sub-area attraction and is displayed interactively through terminal devices.

[0069] See also Figure 1 In the second embodiment, a method for intelligent interaction of scenic area navigation based on data analysis is provided, which is applicable to the first embodiment. The method includes the following steps:

[0070] Step S1: terminal devices are configured at scenic spots within the scenic area, and monitoring devices are deployed along the tour route to divide the route into sections;

[0071] For example, a display terminal is configured at each sub-area scenic spot in the scenic area, and the display terminal is used to display the tourist project information of each sub-area scenic spot in the scenic area. The tourist project information is displayed by clicking the project option box on the display terminal interface;

[0072] The surveillance camera points are arranged along the route, and the surveillance camera points are coded in the order of arrangement. The e-th surveillance camera point is recorded as P e , P e+1 The surveillance camera points P are arranged in sequence e The next surveillance camera point is the surveillance camera point P arranged in sequence. e With surveillance camera point P e+1 The route segment is composed of e ;

[0073] For example, taking a mountain scenic area (including five sub-attractions: A waterfall, B ancient temple, C viewing platform, D flower sea, and E plank road) as an example, display terminals are configured at each attraction AE. Each sub-attraction can be configured with multiple display terminals to support ID card / ticket authentication; 10 surveillance camera points (P1-P10) are deployed along the route, and route sections L1-L9 are formed between adjacent camera points (for example, L1 is P1-P2, corresponding to part of the section from A to B).

[0074] Step S2: Build a guide database for each zoned scenic spot, record route information and the number of people on the route, divide the time nodes and count the number of people on each route section during each time period, collect the zoned scenic spots determined by the user to visit and the order of visiting, and form the user's tour route;

[0075] Exemplarily, a navigation database is configured for each sub-area attraction, and the navigation database records route information from one sub-area attraction to another sub-area attraction, and the route information includes route segments and the number of people in the route segments;

[0076] Based on the i-th zone attraction S i With the jth partition attraction S jThe route information formed between them generates a route information set, which is recorded as V(S i , S j )={K(W h )|h∈[1,H]}, and K(W h )={L e |e∈[1,E]},where K(W h ) represents the set of route segments generated by the h-th route, H represents the total number of routes, E represents the total number of route segments, and i≠j;

[0077] The time range of the scenic spot opening day is divided into time nodes, and the rth time node is recorded as t r , and at time node t r Time command monitoring camera point P e Take a video and count the route segment L e The number of people, denoted as U(L e |t r );

[0078] After the user authenticates his / her identity through the display terminal, the user determines whether to visit the partitioned attractions based on the tour item information; all the partitioned attractions that the user has decided to visit are collected, and the user's tour route cluster is formed according to the order in which the user visits the determined partitioned attractions, which is recorded as UC x ={S i |i∈[1, I]}, where I represents the total number of scenic spots in the scenic area, and x is the user's identity index number;

[0079] For example, the guide database stores route information between scenic spots (e.g., there are two routes from A to B, passing through L1-L2 and L1-L3 respectively); the daytime is divided into 24 time nodes (one node every half hour, t1-t24), and surveillance cameras count the number of people on the route segment at each node (e.g., at t3, the number of people in L1 is 50, and the number of people in L2 is 30); user A (authenticated by ID card) determines the initial tour route: A→B→C→D→E, forming a route cluster.

[0080] Step S3: updating the tour route according to the user's operation at the sub-area scenic spot, and generating a previous scenic spot set with a certain sub-area scenic spot as the next tour target based on the updated tour route;

[0081] For example, the user arrives at the zoned attraction S i When passing through the zone attractions S i After the display terminal determines the tour order of the sub-area attractions, if the determined tour order of the sub-area attractions changes, the tour route cluster UC x If the order of the sightseeing spots in the determined zones does not change, the tour route cluster UC xNo update will be performed, and updated or unupdated tour routes will be grouped into UC x Recorded as like is an unupdated tour route cluster, then Among them, in the tour route cluster Central District Attractions j For zoned attractions S i The next tour order object;

[0082] Based on tour route cluster By zoning attractions S j When it is the next tour sequence object of different partition attractions, it constitutes the tour pre-order attraction set, recorded as in, represents the preceding label, and y represents the total number of users within the current scenic spot opening day;

[0083] For example, after user A arrives at attraction B, he adjusts his route to A→B→D→C→E through the terminal. The system updates the route cluster and generates a set of predecessor attractions (for example, the predecessor attraction of D is B, and the predecessor tags of user A and other users from B to D are recorded).

[0084] Step S4: Based on the previous set of scenic spots, relevant route information is locked, the overlap of route segments is analyzed, and the optimal route to the next sub-area scenic spot is recommended to the user based on the number of people in each time period;

[0085] For example, based on the previous scenic spot set G(S j ), lock the route information set V(S i , S j ) and take route segment L e For guidance, quantify the route segment L e The degree of overlap:

[0086] Under the constraints: the route segment set K(W h ) satisfies K(W h )∈V(S i , S j ),

[0087] Construct the judgment function F[·], if the route segment L e Exists in the route segment set K(W h ), and K(W h )∈V(S i , S j ), Then order Otherwise, Then the route segment L e The degree of overlap D(L e ):

[0088]

[0089] Where, |V(S i , S j )| represents the route information set V(S i , S j ) the number of routes included;

[0090] Based on the degree of overlap, predict the zone attractions S j The best route as the next tour sequence object for the user with identity index x:

[0091] If the user arrives at the zoned attraction S i The time at time node t r-1 and time node t r interval, then the time node t r As the index, retrieve the route segment L e The number of people U(L e |t r ), by filtering the function: Output route W h As a cluster of tour routes Central District Attractions j For zoned attractions S i The optimal route for the next tour sequence object is displayed on the display terminal. The best route for each tour sequence;

[0092] For example, when the subarea attraction S3 is the next tour sequence object of different subarea attractions, the tour sequence attraction set

[0093] Lock the route information set:

[0094] V(S1, S3): contains 4 routes, such as W1 to W4;

[0095] V(S4, S3): contains 5 routes W5 to W9;

[0096] For the route segment set K(W1) that satisfies K(W1)∈V(S1,S3), The route segment L1 exists in the route segment set K(W1), K(W1) satisfies the constraints stK(W1)∈V(S1, S3), Then order

[0097] Since the judgment function is designed to judge whether any route segment satisfies the inherent route information set, and the inherent route information set is locked by the tour route determined by the user's interaction in real time through the display terminal, the overlap degree D(L e ) is the cumulative sum of the number of routes in the locked route information set, for example, V(S1, S3) contains 4 routes, V(S4, S3) contains 5 routes, and the denominator is 4+5=9; while the numerator is the dynamic and real-time route segments that meet the constraints, aiming to determine the overlap of route segments in different routes. The constraints combine the static and inherent route information set with the dynamic set of previous attractions to meet the dynamic and real-time requirements of route recommendation;

[0098] For static route segments, different route options are formed between different zoned attractions, and the degree of overlap is used as the route segment L e The number of people U(L e |t r ) real-time weight, thereby obtaining the dynamic congestion degree D(L e )×U(L e |t r ), and based on the dynamic congestion, select the route with the least dynamic congestion as the best route, and then use the screening function to select the route with the best combination of overlap and passenger flow, to ensure that the recommended route not only meets the selection habits of most users but also avoids congestion.

[0099] It should be noted that, in this document, relational terms such as first and second, etc., are used only to distinguish one entity or operation from another entity or operation, and do not necessarily require or imply any actual relationship or order between these entities or operations. Moreover, the terms "comprises," "comprising," or any other variations thereof are intended to cover non-exclusive inclusion, such that a process, method, article, or apparatus that includes a list of elements includes not only those elements but also other elements not explicitly listed, or elements inherent to such process, method, article, or apparatus.

[0100] Finally, it should be noted that the above description is merely a preferred embodiment of the present invention and is not intended to limit the present invention. Although the present invention has been described in detail with reference to the aforementioned embodiments, those skilled in the art will be able to modify the technical solutions described in the aforementioned embodiments or substitute equivalents for some of the technical features. Any modifications, equivalent substitutions, and improvements made within the spirit and principles of the present invention shall be included within the scope of protection of the present invention.

Claims

1. A method for intelligent interaction of scenic area tour based on data analysis, characterized in that: The method comprises the following steps: Step S1: terminal devices are configured at scenic spots within the scenic area, and monitoring devices are deployed along the tour route to divide the route into sections; Step S2: Build a guide database for each zoned scenic spot, record route information and the number of people on the route, divide the time nodes and count the number of people on each route section during each time period, collect the zoned scenic spots determined by the user to visit and the order of visiting, and form the user's tour route; Step S3: updating the tour route according to the user's operation at the sub-area scenic spot, and generating a previous scenic spot set with a certain sub-area scenic spot as the next tour target based on the updated tour route; Step S4: Based on the previous set of scenic spots, relevant route information is locked, the overlap of route segments is analyzed, and the optimal route to the next sub-area scenic spot is recommended to the user based on the number of people in each time period.

2. The method for intelligent interaction of scenic area navigation based on data analysis according to claim 1, characterized in that: The specific implementation process of step S1 includes: A display terminal is configured at each sub-area scenic spot in the scenic area, and the display terminal is used to display the tourist project information of each sub-area scenic spot in the scenic area. The tourist project information is displayed by clicking the project option box on the display terminal interface; The surveillance camera points are arranged along the route, and the surveillance camera points are coded in the order of arrangement. The e-th surveillance camera point is recorded as P e , P e+1 The surveillance camera points P are arranged in sequence e The next surveillance camera point is the surveillance camera point P arranged in sequence. e With surveillance camera point P e+1 The route segment is composed of e .

3. The method for intelligent interaction of scenic area navigation based on data analysis according to claim 2, characterized in that: The specific implementation process of step S2 includes: A navigation database is configured for each sub-area attraction, wherein the navigation database records route information from one sub-area attraction to another sub-area attraction, wherein the route information includes route segments and the number of people in the route segments; Based on the i-th zone attraction S i With the jth partition attraction S j The route information formed between them generates a route information set, which is recorded as V(S i , S j )={K(W h )|h∈[1,H]}, and K(W h )={L e |e∈[1,E]},where K(W h ) represents the set of route segments generated by the h-th route, H represents the total number of routes, E represents the total number of route segments, and i≠j; The time range of the scenic spot opening day is divided into time nodes, and the rth time node is recorded as t r , and at time node t r Time command monitoring camera point P e Take a video and count the route segment L e The number of people, denoted as U(L e |t r ); After the user authenticates his / her identity through the display terminal, the user determines whether to visit the partitioned attractions based on the tour item information; all the partitioned attractions that the user has decided to visit are collected, and the user's tour route cluster is formed according to the order in which the user visits the determined partitioned attractions, which is recorded as UC x ={S i |i∈[1, I]}, where I represents the total number of scenic spots in the scenic area, and x is the user's identity index number.

4. The method for intelligent interaction of scenic area navigation based on data analysis according to claim 3, characterized in that: The specific implementation process of step S3 includes: The user arrives at the zoned attraction S i When passing through the zone attractions S i After the display terminal determines the tour order of the sub-area attractions, if the determined tour order of the sub-area attractions changes, the tour route cluster UC x If the order of the sightseeing spots in the determined zones does not change, the tour route cluster UC x No update will be performed, and updated or unupdated tour routes will be grouped into UC x Recorded as like is an unupdated tour route cluster, then Among them, in the tour route cluster Central District Attractions j For zoned attractions S i The next tour order object; Based on tour route cluster By zoning attractions S j When it is the next tour sequence object of different partition attractions, it constitutes the tour pre-order attraction set, recorded as in, represents the preceding label, and y represents the total number of users within the current scenic spot opening day.

5. The method for intelligent interaction of scenic area navigation based on data analysis according to claim 4, characterized in that: The specific implementation process of step S4 includes: Based on the pre-order scenic spot set G(S j ), lock the route information set V(S i , S j ) and take route segment L e For guidance, quantify the route segment L e The degree of overlap: Under the constraints: the route segment set K(W h ) satisfies K(W h )∈V(S i , S j ), Construct the judgment function F[·], if the route segment L e Exists in the route segment set K(W h ), and K(W h )∈V(S i , S j ), Then order Otherwise, Then the route segment L e The degree of overlap D(L e ): Where, |V(S i , S j )| represents the route information set V(S i , S j ) the number of routes included; Based on the degree of overlap, predict the zone attractions S j The best route as the next tour sequence object for the user with identity index x: If the user arrives at the zoned attraction S i The time at time node t r-1 and time node t r interval, then the time node t r As the index, retrieve the route segment L e The number of people U(L e |t r ), by filtering the function: Output route W h As a cluster of tour routes Central District Attractions j For zoned attractions S i The optimal route for the next tour sequence object is displayed on the display terminal. The best route for each tour sequence.

6. A scenic area tour intelligent interactive system based on data analysis, which executes the scenic area tour intelligent interactive method according to any one of claims 1 to 5, characterized in that: The system includes: a terminal and monitoring configuration module, a navigation data management module, a route update and preamble generation module, and an optimal route recommendation module; The terminal and monitoring configuration module is used to configure terminal devices at scenic spots, deploy monitoring equipment along the route and divide the route into sections; The guide data management module is used to build a guide database for each zoned scenic spot, record route information and number of people, divide the time nodes and count the number of people in each route section, and collect the zoned scenic spots visited by users and the order in which they are visited to form a tour route; The route updating and pre-order set generating module is used to update the tour route according to the user operation, and generate a pre-order scenic spot set with a certain sub-area scenic spot as the next tour object based on the updated route; The optimal route recommendation module is used to lock the route information based on the previous scenic spot set, analyze the degree of overlap of route segments, and recommend the optimal route to the user based on the number of people in each time period.

7. The scenic area navigation intelligent interactive system based on data analysis according to claim 6, characterized in that: The terminal and monitoring configuration module includes a terminal configuration unit and a monitoring deployment unit; The terminal configuration unit is used to configure terminal devices at each scenic spot in the scenic area to display tourist project information; The monitoring arrangement unit is used to arrange monitoring devices along the tour route and encode them in sequence, forming route segments between adjacent monitoring devices.

8. The scenic area navigation intelligent interactive system based on data analysis according to claim 6, characterized in that: The navigation data management module includes a database configuration unit, a time node division unit and a user route collection unit; The database configuration unit is used to configure a guide database for each sub-area scenic spot, recording route information between different sub-area scenic spots and the number of people in the route segment; The time node division unit is used to divide the time of the scenic spot opening day into multiple time nodes, and instruct the monitoring device to count the number of people on the route section at each time node; The user route collection unit is used to collect the sub-area attractions and the order of the visits determined by the user after the user passes the terminal device identity authentication, so as to form the user's visit route.

9. The scenic area tour intelligent interactive system based on data analysis according to claim 6, characterized in that: The route update and preamble set generation module includes a route update unit and a preamble scenic spot set generation unit; The route updating unit is used to update the user's tour route when the user decides to change the order of visiting the zoned attractions; If the tour sequence remains unchanged, the original tour route will be maintained; The preceding scenic spot set generating unit is configured to generate a preceding scenic spot set with a certain subarea scenic spot as the next touring object based on the updated touring route.

10. The scenic area tour intelligent interactive system based on data analysis according to claim 6, characterized in that: The optimal route recommendation module includes a route coincidence analysis unit and a route screening and recommendation unit; The route overlap analysis unit is used to lock relevant route information based on the previous scenic spot set and analyze the overlap degree of route segments; The route screening and recommendation unit is used to combine the number of people in the route segments counted at each time node to screen out the route with the best combination of overlap and number of people, and use it as the best route for the user to go to the next sub-area attraction, and interactively display it through the terminal device.

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