Data analysis-based text and travel integrated management method and system

Abstract

The embodiment of the invention relates to the technical field of document travel management, and particularly discloses a document travel comprehensive management method and system based on data analysis. According to the embodiment of the invention, the cultural travel route and the leisure travel route are planned by acquiring the basic travel data of the travel management target; performing data interaction with the mobile terminal of the tourism object to obtain travel record data; carrying out feature recognition and preference analysis, and determining a tourism preference type; and matching the preferred tourism route from the cultural tourism route and the leisure tourism route, and carrying out guide interaction with the mobile terminal. The system can plan cultural tourism routes and leisure tourism routes, perform data interaction with mobile terminals of tourism objects, identify and determine tourism preference types, further match preferred tourism routes, and perform guide interaction, thereby establishing an efficient and collaborative management linkage mechanism with the tourism objects, and improving tourism quality. The tourist object can conveniently visit the interested scenic spots, the shunting effect can be achieved, and the visit efficiency and comfort are improved.

Description

Technical Field

[0001] The present invention belongs to the field of cultural tourism management technology, and in particular relates to a cultural tourism comprehensive management method and system based on data analysis. Background Art

[0002] Cultural tourism management is a series of activities centered around tourists' cultural experience activities at tourist destinations, focusing on shaping the cultural image of tourist destinations, enhancing cultural appeal, cultural planning and construction, tourist cultural management, and cultivating cultural tourism management talents. It includes the protection of cultural resources, the formulation of tourism plans, the promotion of tourism products, the coordination and management of tourism activities, and many other aspects.

[0003] In the existing technology, the comprehensive management of cultural tourism is limited to the handling of internal affairs of scenic spots, and it is impossible to establish an efficient and coordinated management linkage mechanism with tourists. As a result, it is difficult for tourists to smoothly visit the attractions they are interested in during their tours, and there is a lack of effective diversion strategies. Popular attractions are often overcrowded, while relatively unpopular but distinctive places are deserted, which seriously affects the efficiency and comfort of tourists' tours, and also hinders the diversity and richness of cultural tourism. Summary of the Invention

[0004] The purpose of the embodiments of the present invention is to provide a comprehensive cultural and tourism management method and system based on data analysis, aiming to solve the problems raised in the background technology.

[0005] To achieve the above objectives, the embodiments of the present invention provide the following technical solutions: A comprehensive cultural tourism management method based on data analysis, the method specifically includes the following steps: Determine cultural tourism management goals, obtain basic cultural tourism data for the cultural tourism management goals, identify and analyze the basic cultural tourism data, and plan cultural tourism routes and leisure tourism routes; Interact with the mobile terminal of the tourist object to obtain cultural and travel record data; Extracting valid cultural and travel information from the cultural and travel record data, performing feature recognition and preference analysis on the valid cultural and travel information, and determining the travel preference type; According to the tourism preference type, a preferred tourism route is matched from the cultural tourism route and the leisure tourism route, and a guided tour interaction is performed with the mobile terminal.

[0006] As a further limitation of the technical solution of the embodiment of the present invention, determining the cultural tourism management target, obtaining basic cultural tourism data of the cultural tourism management target, identifying and analyzing the basic cultural tourism data, and planning the cultural tourism route and the leisure tourism route specifically include the following steps: Determine cultural tourism management objectives; Obtaining basic cultural and tourism data for the cultural and tourism management target; Performing scenic spot analysis on the basic cultural and tourism data to determine multiple internal cultural and tourism attractions; The plurality of internal cultural and tourism attractions are classified and routes are planned to generate cultural tourism routes and leisure tourism routes.

[0007] As a further limitation of the technical solution of the embodiment of the present invention, the classification and route planning of the plurality of internal cultural and tourist attractions to generate cultural tourism routes and leisure tourism routes specifically includes the following steps: Filtering the scenic spot information corresponding to the plurality of internal cultural and tourism scenic spots from the basic cultural and tourism data; Identifying the plurality of scenic spot information, and dividing the plurality of internal cultural and tourism scenic spots into a plurality of essential tourist attractions, a plurality of cultural tourist attractions, and a plurality of leisure tourist attractions; Planning and generating a cultural tourism route based on the plurality of necessary tourist attractions and the plurality of cultural tourism attractions; A leisure tourism route is planned and generated based on the plurality of necessary tourist attractions and the plurality of leisure tourism attractions.

[0008] As a further limitation of the technical solution of the embodiment of the present invention, the data interaction with the mobile terminal of the tourist object and the acquisition of cultural and travel record data specifically include the following steps: Identify the mobile terminal of tourist objects; Generate and send an interaction request to the mobile terminal; When the mobile terminal agrees to the interaction request, establishing an interactive communication channel with the mobile terminal; The cultural and travel record data transmitted by the mobile terminal is received through the interactive communication channel.

[0009] As a further limitation of the technical solution of the embodiment of the present invention, extracting valid cultural and travel information from the cultural and travel record data, performing feature recognition and preference analysis on the valid cultural and travel information, and determining the travel preference type specifically include the following steps: Extracting valid cultural and travel information from the cultural and travel record data; According to the preset multiple type features, feature recognition is performed on the multiple valid cultural and tourism information, and the feature recognition results are recorded; Based on the feature recognition results, preference analysis is conducted on tourist objects to determine the tourism preference type.

[0010] As a further limitation of the technical solution of the embodiment of the present invention, matching the preferred travel route from the cultural travel route and the leisure travel route according to the travel preference type, and performing navigation interaction with the mobile terminal specifically includes the following steps: According to the tourism preference type, matching a preferred tourism route from the cultural tourism route and the leisure tourism route; transmitting the preferred travel route to the mobile terminal via the interactive communication channel; Acquiring mobile positioning data of the mobile terminal in real time; Based on the preferred travel route, performing a guide analysis on the mobile positioning data to generate a cultural and tourism guide signal; Through the cultural and tourism guide signal, the guide interaction is carried out with the mobile terminal.

[0011] A comprehensive cultural and tourism management system based on data analysis, comprising a travel route planning unit, a data interaction processing unit, a cultural and tourism preference analysis unit, and a preference navigation interaction unit, wherein: A tourism route planning unit is used to determine cultural tourism management goals, obtain basic cultural tourism data for the cultural tourism management goals, identify and analyze the basic cultural tourism data, and plan cultural tourism routes and leisure tourism routes; A data interaction processing unit is used to interact with the mobile terminal of the tourist object and obtain cultural and travel record data; A cultural and travel preference analysis unit, configured to extract valid cultural and travel information from the cultural and travel record data, perform feature recognition and preference analysis on the valid cultural and travel information, and determine a travel preference type; The preference navigation interaction unit is used to match the preferred tourist route from the cultural tourist route and the leisure tourist route according to the tourist preference type, and to perform navigation interaction with the mobile terminal.

[0012] As a further limitation of the technical solution of the embodiment of the present invention, the travel route planning unit specifically includes: Target determination module, used to determine cultural tourism management goals; A data acquisition module, used to acquire basic cultural and tourism data of the cultural and tourism management target; An attraction analysis module is used to perform attraction analysis on the basic cultural and tourism data to determine multiple internal cultural and tourism attractions; The classification planning module is used to classify and plan routes for the plurality of internal cultural and tourism attractions, and generate cultural tourism routes and leisure tourism routes.

[0013] As a further limitation of the technical solution of the embodiment of the present invention, the classification planning module specifically includes: An information screening submodule, configured to screen scenic spot information corresponding to a plurality of internal cultural and tourism scenic spots from the basic cultural and tourism data; A scenic spot division submodule is used to identify the plurality of scenic spot information and divide the plurality of internal cultural and tourism scenic spots into a plurality of necessary tourist attractions, a plurality of cultural tourist attractions and a plurality of leisure tourist attractions; A cultural tourism route planning submodule is used to plan and generate a cultural tourism route based on the plurality of necessary tourist attractions and the plurality of cultural tourism attractions; The leisure tourism route planning submodule is used to plan and generate a leisure tourism route based on the multiple necessary tourist attractions and the multiple leisure tourism attractions.

[0014] As a further limitation of the technical solution of the embodiment of the present invention, the data interaction processing unit specifically includes: Mobile terminal identification module, used to identify the mobile terminal of the tourist object; A request sending module, configured to generate and send an interaction request to the mobile terminal; a channel building module, configured to build an interactive communication channel with the mobile terminal when the mobile terminal agrees to the interaction request; The data receiving module is used to receive the cultural and travel record data transmitted by the mobile terminal through the interactive communication channel.

[0015] Compared with the prior art, the present invention has the following beneficial effects: The embodiment of the present invention plans cultural tourism routes and leisure tourism routes by acquiring basic cultural tourism data of cultural tourism management targets; interacting with the mobile terminal of the tourist object to obtain cultural tourism record data; performing feature recognition and preference analysis to determine the tourism preference type; matching the preferred tourism routes from the cultural tourism routes and leisure tourism routes, and interacting with the mobile terminal for guided tours. It is possible to plan cultural tourism routes and leisure tourism routes, interact with the mobile terminal of the tourist object to identify and determine the tourism preference type, and then match the preferred tourism routes and interact with the mobile terminal for guided tours, thereby establishing an efficient and coordinated management linkage mechanism with the tourist object, which can not only facilitate the tourist object's visit to the attractions of interest, but also play a diversion role, improving the efficiency and comfort of the tour. BRIEF DESCRIPTION OF THE DRAWINGS

[0016] In order to more clearly illustrate the technical solutions in the embodiments of the present invention, the following briefly introduces the drawings required for use in the embodiments or the description of the prior art. Obviously, the drawings described below are only some embodiments of the present invention.

[0017] Figure 1 A flow chart of a method provided by an embodiment of the present invention is shown.

[0018] Figure 2 A flowchart of identifying and analyzing basic cultural and tourism data in the method provided in an embodiment of the present invention is shown.

[0019] Figure 3 A flow chart of generating cultural tourism routes and leisure tourism routes in the method provided by an embodiment of the present invention is shown.

[0020] Figure 4 A flowchart of obtaining cultural and travel record data in the method provided in an embodiment of the present invention is shown.

[0021] Figure 5 A flow chart of determining travel preference types in the method provided by an embodiment of the present invention is shown.

[0022] Figure 6 The flowchart of the preferred travel route navigation interaction in the method provided by the embodiment of the present invention is shown.

[0023] Figure 7 The application architecture diagram of the system provided by the embodiment of the present invention is shown.

[0024] Figure 8 The structure block diagram of the travel route planning unit in the system provided by the embodiment of the present invention is shown.

[0025] Figure 9 The structural block diagram of the classification planning module in the system provided by the embodiment of the present invention is shown.

[0026] Figure 10 The structure block diagram of the data interaction processing unit in the system provided by the embodiment of the present invention is shown. DETAILED DESCRIPTION

[0027] In order to make the purpose, technical solutions and advantages of the present invention more clearly understood, the present invention will be further described in detail below with reference to the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are only used to explain the present invention and are not intended to limit the present invention.

[0028] It is understandable that in the existing technology, the comprehensive management of cultural tourism is limited to the handling of internal affairs of scenic spots, and it is impossible to establish an efficient and coordinated management linkage mechanism with tourists. As a result, it is difficult for tourists to smoothly visit the attractions they are interested in during the tour, and there is a lack of effective diversion strategies. Popular attractions are often overcrowded, while relatively unpopular but distinctive places are deserted, which seriously affects the efficiency and comfort of tourists' tours, and also hinders the diversity and richness of cultural tourism.

[0029] To solve the above problems, the embodiments of the present invention determine the cultural and tourism management goals, obtain the basic cultural and tourism data of the cultural and tourism management goals, and identify and analyze the basic cultural and tourism data to plan cultural tourism routes and leisure tourism routes; perform data interaction with the mobile terminal of the tourist object to obtain cultural and tourism record data; extract valid cultural and tourism information from the cultural and tourism record data, perform feature identification and preference analysis on the valid cultural and tourism information, and determine the tourism preference type; match the preferred tourism routes from the cultural and leisure tourism routes based on the tourism preference type, and perform guided tour interaction with the mobile terminal. It is possible to plan cultural and leisure tourism routes, perform data interaction with the mobile terminal of the tourist object, identify and determine the tourism preference type, and then match the preferred tourism routes and perform guided tour interaction, thereby establishing an efficient and coordinated management linkage mechanism with the tourist object, which can not only facilitate the tourist object's visit to the attractions of interest, but also play a diversion role, thereby improving the efficiency and comfort of the tour.

[0030] Figure 1 A flow chart of a method provided by an embodiment of the present invention is shown.

[0031] Specifically, in one embodiment of the present invention, a comprehensive cultural tourism management method based on data analysis includes the following steps: Step S101: determine the cultural tourism management target, obtain basic cultural tourism data of the cultural tourism management target, identify and analyze the basic cultural tourism data, and plan cultural tourism routes and leisure tourism routes.

[0032] In an embodiment of the present invention, a cultural and tourism management target with comprehensive cultural and tourism management is determined, basic cultural and tourism data of the cultural and tourism management target is obtained, and then a scenic spot analysis is performed on the basic cultural and tourism data to determine multiple internal cultural and tourism scenic spots in the cultural and tourism management target. From the basic cultural and tourism data, scenic spot information corresponding to multiple internal cultural and tourism scenic spots is matched and screened. By identifying multiple scenic spot information, the multiple internal cultural and tourism scenic spots are classified and analyzed, and the multiple internal cultural and tourism scenic spots are divided into multiple necessary tourist attractions, multiple cultural tourist attractions and multiple leisure tourist attractions. The locations of the scenic spots are marked in a preset electronic map, and a cultural tourism route is planned and generated based on the multiple necessary tourist attractions and the multiple cultural tourist attractions. A leisure tourism route is planned and generated based on the multiple necessary tourist attractions and the multiple leisure tourist attractions.

[0033] It is understandable that the goal of cultural and tourism management is to create a comprehensive scenic area with multiple internal cultural and tourism attractions.

[0034] Specifically, Figure 2 A flowchart of identifying and analyzing basic cultural and tourism data in the method provided in an embodiment of the present invention is shown.

[0035] In a preferred embodiment of the present invention, determining the cultural tourism management target, obtaining basic cultural tourism data of the cultural tourism management target, identifying and analyzing the basic cultural tourism data, and planning cultural tourism routes and leisure tourism routes specifically include the following steps: Step S1011, determining cultural tourism management goals; Step S1012, obtaining basic cultural and tourism data of the cultural and tourism management target; Step S1013, performing scenic spot analysis on the basic cultural and tourism data to determine multiple internal cultural and tourism scenic spots; Step S1014: classify the plurality of internal cultural and tourism attractions and perform route planning to generate cultural tourism routes and leisure tourism routes.

[0036] Specifically, Figure 3 A flow chart of generating cultural tourism routes and leisure tourism routes in the method provided by an embodiment of the present invention is shown.

[0037] Among them, in the preferred embodiment provided by the present invention, the classification and route planning of the plurality of internal cultural and tourist attractions to generate cultural tourism routes and leisure tourism routes specifically include the following steps: Step S10141, filtering the scenic spot information corresponding to the plurality of internal cultural and tourism scenic spots from the basic cultural and tourism data; Step S10142: Identify the plurality of scenic spot information, and divide the plurality of internal cultural and tourism scenic spots into a plurality of essential tourist attractions, a plurality of cultural tourist attractions, and a plurality of leisure tourist attractions; Step S10143: planning and generating a cultural tourism route based on the plurality of necessary tourist attractions and the plurality of cultural tourism attractions; Step S10144: plan and generate a leisure tourism route based on the plurality of necessary tourist attractions and the plurality of leisure tourism attractions.

[0038] Specifically, the plurality of scenic spot information is identified, and the plurality of internal cultural and tourism scenic spots are divided into a plurality of necessary tourist attractions, a plurality of cultural tourist attractions, and a plurality of leisure tourist attractions. The specific steps are as follows: Acquire raw data based on the information of the plurality of scenic spots, the raw data including feature data, historical value scores, and visitor quantity and scale scores; The historical value score, tourist number score, and natural landscape score are used as dimensions of the original features, and a list of candidate attractions is generated based on the original features. Each original feature in the candidate attraction list corresponds to a score of one dimension. Determine the original feature weight according to the original features in the candidate scenic spot list, multiply each original feature by the corresponding original feature weight to obtain the weighted original feature; Determine the necessary attractions judgment threshold and cultural attractions judgment threshold through basic cultural tourism data, filter and sort the dimensions of the original features based on the necessary attractions judgment threshold, and obtain the necessary attractions judgment ranking table; Determine the weights of necessary attractions based on the necessary attractions ranking table, and calculate the comprehensive scores of necessary attractions using the weights of necessary attractions and the weighted original features; The dimensions of the original features are filtered and sorted based on the necessary cultural attractions judgment threshold to obtain a cultural attractions judgment ranking table; Determine the weight of cultural attractions based on the cultural attractions ranking table, and calculate the comprehensive score of cultural attractions through the weight of cultural attractions and the weighted original features; Determine the qualifying score ranges for essential attractions and cultural attractions through basic cultural and tourism data; The scenic spot classification results are generated based on the comprehensive scores of necessary scenic spots, the comprehensive scores of cultural scenic spots, the standard score intervals of necessary scenic spots, and the standard score intervals of cultural scenic spots; Through the results of scenic spot classification, we can obtain multiple necessary tourist attractions, multiple cultural tourist attractions and multiple leisure tourist attractions.

[0039] Furthermore, a leisure tourism route is planned and generated based on the plurality of necessary tourist attractions and the plurality of leisure tourism attractions. The specific steps are as follows: Determining a list of essential attractions based on the plurality of essential tourist attractions, and determining a list of leisure attractions based on the plurality of leisure tourist attractions, wherein each element in the list of leisure attractions includes a comfort score, a duration of play, and an average spending amount per person; Obtaining a transportation distance table between attractions based on the plurality of necessary tourist attractions and the plurality of leisure tourist attractions; The list of necessary attractions and the list of leisure attractions are integrated into a complete candidate combination, and then combined with the transportation distance table between attractions to generate an initial route framework; Generate a complete data list of candidate attractions based on the initial route framework. The data in the complete data list of candidate attractions includes the attraction name, location coordinates, comfort score, playing time and living consumption amount; Obtain the comfort scores of the attractions from the complete data list of candidate attractions, then accumulate and sum the comfort scores of all attractions to obtain the total comfort score of the route plan; Determining a subset of attractions selected by the user from the plurality of leisure tourism attractions, obtaining the duration of the attractions through a complete data list of candidate attractions, and determining the travel time between adjacent attractions through the location coordinates of the attractions; The playing time of all scenic spots is accumulated to obtain the cumulative playing time value, and the total transportation time is calculated by calculating the playing time of the scenic spot and the transportation time between adjacent scenic spots; Add the accumulated time spent on playing to the total time spent on transportation to get the total time spent on the route; Determine the weight distribution ratio of comfort and time cost based on the total comfort score of the route plan and the total route time; Multiply the total comfort score of the route plan by the weighted distribution ratio of comfort and time cost to obtain the weighted total comfort score; The total time of the route is processed using the weight distribution ratio of comfort and time cost to obtain the processed total time score of the route; The optimized score of the route is obtained by subtracting the total time score of the processed route from the weighted total comfort score. Determine the minimum number of attractions required by a plurality of the necessary tourist attractions and a plurality of the leisure tourist attractions, and obtain the total number of attractions by a complete data list of candidate attractions; The total number of attractions is judged using the minimum number of attractions requirement, and the attraction routes that meet the minimum number of attractions requirement are selected as the attraction routes that have passed one inspection; Determine the maximum distance limit between adjacent attractions based on the location coordinates of the attractions; The scenic spot routes that have passed one inspection are screened based on the maximum distance limit between adjacent scenic spots, and the scenic spot routes that have passed one inspection and are less than the maximum distance limit between adjacent scenic spots are screened as the scenic spot routes that have passed two inspections; Based on the scenic spot routes that have passed the two checks, the average per capita consumption amount of each route is obtained, and the average per capita consumption amount of each route is accumulated to obtain the total consumption amount of each route; The user's total budget limit is determined through the scenic spot information corresponding to the internal cultural and tourism scenic spots, and the scenic spot routes that have passed the two checks are screened based on the user's total budget limit and the total consumption amount of each route. The scenic spot routes that have passed the two checks and whose total consumption amount of the route is not greater than the user's total budget limit are selected as the scenic spot routes that have passed the three checks; The scenic spot routes that have undergone three inspections are sorted in descending order based on the optimization scores of the routes, and the scenic spot route that has undergone three inspections and has the highest optimization score is selected as the leisure tourism route.

[0040] Furthermore, the comprehensive cultural tourism management method based on data analysis also includes the following steps: Step S102: interact with the mobile terminal of the tourist object to obtain cultural and travel record data.

[0041] In an embodiment of the present invention, in the ticket inspection area of the scenic spot, the mobile terminal of the tourist object is identified, an interaction request is generated, and the interaction request is sent to the mobile terminal. The tourist object can agree or reject the interaction request on the mobile terminal. If the tourist object agrees to the interaction request, the interactive communication permission of the mobile terminal is obtained, and then an interactive communication channel with the mobile terminal is established, and then the cultural and travel record data transmitted by the mobile terminal is received through the interactive communication channel.

[0042] It is understandable that the cultural and tourism record data includes historical travel data of tourist objects.

[0043] Specifically, Figure 4 A flowchart of obtaining cultural and travel record data in the method provided in an embodiment of the present invention is shown.

[0044] Among them, in the preferred embodiment provided by the present invention, the data interaction with the mobile terminal of the tourist object and the acquisition of cultural and travel record data specifically include the following steps: Step S1021, identifying the mobile terminal of the tourist object; Step S1022: Generate and send an interaction request to the mobile terminal; Step S1023: When the mobile terminal agrees to the interaction request, an interactive communication channel is established with the mobile terminal; Step S1024: receiving the cultural and travel record data transmitted by the mobile terminal through the interactive communication channel.

[0045] Specifically, when the mobile terminal agrees to the interaction request, an interactive communication channel with the mobile terminal is established, wherein a session key sequence is generated to improve the security of the communication channel. The specific steps of generating the session key sequence are as follows: After unifying the interaction request on the mobile terminal, triggering the positioning function and determining the current location coordinates; Use the local service base station to locate and determine the coordinates of the verification base station closest to the tourist object; Convert the current location coordinates and the verification base station coordinates closest to the tourist object into three-dimensional space vectors to obtain the current location coordinate vector and the verification base station coordinate vector closest to the tourist object; The moving speed of the tourist object is retrieved through the mobile terminal of the tourist object, and the spatial attenuation coefficient is determined based on the moving speed of the tourist object; The straight-line distance between the tourist object and the verification base station is calculated by using the current location coordinate vector and the coordinate vector of the verification base station closest to the tourist object; Multiply the straight-line distance between the tourist object and the verification base station by the spatial attenuation coefficient to obtain the spatial attenuation value; Determine the current timestamp and the user authentication timestamp through the mobile terminal of the tourist object, and determine the time decay coefficient through the timestamp and the user authentication timestamp; Calculate the difference between the user authentication timestamp and the current timestamp to obtain the time deviation value, input the time deviation value into the exponential decay function and multiply it by the time decay coefficient to obtain the time decay value; The spatial attenuation value range and the time attenuation value are added, and the result of the addition is encrypted using the national secret standard hash algorithm to obtain a hash encryption result; Normalizing the hash encryption result to obtain a normalized hash encryption result, and mapping the normalized hash encryption result to a standard numerical range to generate a dynamic security reference value; Acquire real-time biometric data from the tourist's mobile device. Real-time biometric parameters include facial parameters and fingerprint parameters, and determine the biometric matching threshold through the local service base station; Screening the real-time biometric parameters based on the biometric matching threshold, and forming the screened real-time biometric parameters into a biometric verification status identifier; Logically binding the security reference value of the update period with the biometric verification status identifier to obtain a logical binding result; Perform bitwise cross-processing on each logical binding result to generate an irreversible key, which is then used as a session key sequence.

[0046] Furthermore, the comprehensive cultural tourism management method based on data analysis also includes the following steps: Step S103: extracting valid cultural and travel information from the cultural and travel record data, performing feature recognition and preference analysis on the valid cultural and travel information, and determining the travel preference type.

[0047] In an embodiment of the present invention, by effectively analyzing cultural and travel record data, identifying and extracting effective cultural and travel information in the cultural and travel record data, and then performing feature recognition on multiple effective cultural and travel information according to multiple preset type features, recording the feature recognition results, and then performing statistical analysis on the feature recognition results, from multiple type features, the type feature with the highest statistical proportion is screened out, and it is marked as a tourism preference type, thereby realizing preference analysis of tourism objects.

[0048] Specifically, Figure 5 A flow chart of determining travel preference types in the method provided by an embodiment of the present invention is shown.

[0049] In a preferred embodiment of the present invention, extracting valid cultural and travel information from the cultural and travel record data, performing feature recognition and preference analysis on the valid cultural and travel information, and determining the travel preference type specifically include the following steps: Step S1031, extracting valid cultural and travel information from the cultural and travel record data; Step S1032: performing feature recognition on the plurality of valid cultural and tourism information according to the plurality of preset type features, and recording the feature recognition results; Step S1033: Based on the feature recognition results, preference analysis is performed on the tourist object to determine the tourist preference type.

[0050] Specifically, according to the preset multiple type features, feature recognition is performed on the multiple valid cultural and tourism information, and the feature recognition results are recorded. The specific steps are as follows: Based on multiple preset type features, dynamic weight coefficients are generated through the LSTM network; Based on the type characteristics, effective cultural and tourism information and dynamic weight coefficient, the feature matching confidence of cultural and tourism information is obtained. The corresponding relationship is: ; in, represents the feature matching confidence, represents the total number of type features, an index representing a type feature, represents the dynamic weight coefficient, represents the real-time scene adjustment factor, Indicates valid cultural and tourism information. Represents type characteristics, represents semantic similarity calculation, Represents historical data, Indicates the frequency of occurrence of type features in user historical data; Select valid cultural and tourism information with high feature matching confidence for feature recognition, and finally record the feature recognition results.

[0051] Furthermore, the comprehensive cultural tourism management method based on data analysis also includes the following steps: Step S104: Match a preferred travel route from the cultural travel route and the leisure travel route according to the travel preference type, and perform navigation interaction with the mobile terminal.

[0052] In an embodiment of the present invention, cultural tourism routes and leisure tourism routes are matched according to tourism preference types, and a preferred tourism route is selected from the cultural tourism routes and leisure tourism routes. The preferred tourism route is then transmitted to a mobile terminal through an interactive communication channel, and the mobile terminal is positioned in real time to obtain mobile positioning data of the mobile terminal. Based on the preferred tourism route, a navigation analysis is performed on the mobile positioning data to generate a cultural tourism navigation signal, and then a navigation interaction is performed with the mobile terminal through the cultural tourism navigation signal, so that the tourist object can conduct cultural tourism according to the corresponding preferred tourism route.

[0053] Specifically, Figure 6 The flowchart of the preferred travel route navigation interaction in the method provided by the embodiment of the present invention is shown.

[0054] In a preferred embodiment of the present invention, matching a preferred travel route from the cultural travel route and the leisure travel route according to the travel preference type, and performing navigation interaction with the mobile terminal specifically includes the following steps: Step S1041, matching a preferred travel route from the cultural travel route and the leisure travel route according to the travel preference type; Step S1042: transmitting the preferred travel route to the mobile terminal via the interactive communication channel; Step S1043, obtaining the mobile positioning data of the mobile terminal in real time; Step S1044, performing navigation analysis on the mobile positioning data based on the preferred travel route to generate a cultural and tourism navigation signal; Step S1045: interact with the mobile terminal via the cultural tourism guide signal.

[0055] Specifically, based on the preferred travel route, the mobile positioning data is analyzed for navigation and a cultural and tourism navigation signal is generated. The specific steps are as follows: Determine user location coordinates through mobile positioning data; Extract the coordinates of the route at the corresponding time point from the preferred travel route as the recommended coordinates; Based on the user's location coordinates and the recommended coordinates, calculate the straight-line distance between the user's location and the recommended location within the period; The cycle is divided into multiple time points, and the cycle decay weight is determined based on the multiple time points. The straight-line distance between the user location and the recommended location is weighted summed using the cycle decay weight to obtain the trajectory deviation after time decay. Further determining the user's movement speed within the period based on the user's position coordinates, and obtaining a fluctuation amplitude of the speed value based on the user's movement speed within the period to generate a speed stability index value; Determine environmental adaptation analysis parameters based on the actual number of tourists in the local area; The time-attenuated trajectory deviation is multiplied by the environmental adaptation analysis parameter to obtain the product of the deviation and the analysis parameter. The speed stability index is then used to perform sensitivity compensation on the product of the deviation and the analysis parameter to obtain the standardized deviation value. The deviation value is standardized within the statistical period, and the slope of the deviation value change is calculated. The deviation dynamic threshold is further determined by the slope of the deviation value change; The standardized deviation value is judged based on the dynamic deviation threshold. When the standardized deviation value does not exceed the dynamic deviation threshold, the instruction is triggered and a cultural and tourism guide signal is generated.

[0056] Further, Figure 7 The application architecture diagram of the system provided by the embodiment of the present invention is shown.

[0057] Among them, in another preferred embodiment provided by the present invention, the comprehensive cultural and tourism management system based on data analysis includes: The tourism route planning unit 101 is used to determine the cultural tourism management goals, obtain the basic cultural tourism data of the cultural tourism management goals, identify and analyze the basic cultural tourism data, and plan cultural tourism routes and leisure tourism routes.

[0058] In an embodiment of the present invention, the travel route planning unit 101 determines a cultural and tourism management target with comprehensive cultural and tourism management, obtains basic cultural and tourism data of the cultural and tourism management target, and then performs scenic spot analysis on the basic cultural and tourism data to determine multiple internal cultural and tourism scenic spots in the cultural and tourism management target. From the basic cultural and tourism data, it matches and filters the scenic spot information corresponding to the multiple internal cultural and tourism scenic spots, identifies the multiple scenic spot information, classifies and analyzes the multiple internal cultural and tourism scenic spots, divides the multiple internal cultural and tourism scenic spots into multiple necessary tourist attractions, multiple cultural tourist attractions and multiple leisure tourist attractions, and marks the locations of the scenic spots in a preset electronic map. According to the multiple necessary tourist attractions and the multiple cultural tourist attractions, a cultural tourism route is planned and generated, and according to the multiple necessary tourist attractions and the multiple leisure tourist attractions, a leisure tourism route is planned and generated.

[0059] Specifically, Figure 8 FIG. 1 shows a structural block diagram of the travel route planning unit 101 in the system provided by an embodiment of the present invention.

[0060] In a preferred embodiment of the present invention, the travel route planning unit 101 specifically includes: Target determination module 1011, used to determine cultural tourism management targets; The data acquisition module 1012 is used to acquire the basic cultural and tourism data of the cultural and tourism management target; The scenic spot analysis module 1013 is used to perform scenic spot analysis on the basic cultural and tourism data to determine multiple internal cultural and tourism scenic spots; The classification planning module 1014 is used to classify the plurality of internal cultural and tourism attractions and plan routes, and generate cultural tourism routes and leisure tourism routes.

[0061] Specifically, Figure 9 It shows a structural block diagram of the classification planning module 1014 in the system provided by an embodiment of the present invention.

[0062] In the preferred embodiment of the present invention, the classification planning module 1014 specifically includes: The information screening submodule 10141 is used to screen the scenic spot information corresponding to the plurality of internal cultural and tourism scenic spots from the basic cultural and tourism data; The scenic spot division submodule 10142 is used to identify the plurality of scenic spot information and divide the plurality of internal cultural and tourism scenic spots into a plurality of necessary tourist attractions, a plurality of cultural tourist attractions, and a plurality of leisure tourist attractions; The cultural tourism route planning submodule 10143 is configured to plan and generate a cultural tourism route based on the plurality of necessary tourist attractions and the plurality of cultural tourism attractions; The leisure tourism route planning submodule 10144 is used to plan and generate a leisure tourism route based on the multiple necessary tourist attractions and the multiple leisure tourism attractions.

[0063] Furthermore, the cultural tourism integrated management system based on data analysis also includes: The data interaction processing unit 102 is used to interact with the mobile terminal of the tourist object and obtain cultural and travel record data.

[0064] In an embodiment of the present invention, in the ticket inspection area of the scenic spot, the data interaction processing unit 102 identifies the mobile terminal of the tourist object, generates an interaction request, and sends the interaction request to the mobile terminal. The tourist object can agree or reject the interaction request on the mobile terminal. If the tourist object agrees to the interaction request, the interactive communication permission of the mobile terminal is obtained, and then an interactive communication channel with the mobile terminal is established, and then the cultural and travel record data transmitted by the mobile terminal is received through the interactive communication channel.

[0065] Specifically, Figure 10 It shows a structural block diagram of the data interaction processing unit 102 in the system provided by an embodiment of the present invention.

[0066] In a preferred embodiment of the present invention, the data interaction processing unit 102 specifically includes: Mobile terminal identification module 1021, used to identify the mobile terminal of the tourist object; A request sending module 1022, configured to generate and send an interaction request to the mobile terminal; A channel building module 1023 is configured to build an interactive communication channel with the mobile terminal when the mobile terminal agrees to the interactive request; The data receiving module 1024 is used to receive the cultural and travel record data transmitted by the mobile terminal through the interactive communication channel.

[0067] Furthermore, the cultural tourism integrated management system based on data analysis also includes: The cultural travel preference analysis unit 103 is used to extract valid cultural travel information from the cultural travel record data, perform feature recognition and preference analysis on the valid cultural travel information, and determine the travel preference type.

[0068] In an embodiment of the present invention, the cultural and tourism preference analysis unit 103 effectively analyzes the cultural and tourism record data, identifies and extracts valid cultural and tourism information from the cultural and tourism record data, and then performs feature recognition on multiple valid cultural and tourism information according to multiple preset type features, records the feature recognition results, and then performs statistical analysis on the feature recognition results. From the multiple type features, the type feature with the highest statistical proportion is screened out and marked as a tourism preference type, thereby realizing preference analysis of tourism objects.

[0069] The preference navigation interaction unit 104 is used to match a preferred travel route from the cultural travel route and the leisure travel route according to the travel preference type, and perform navigation interaction with the mobile terminal.

[0070] In an embodiment of the present invention, the preference navigation interaction unit 104 matches cultural tourism routes and leisure tourism routes according to tourism preference types, selects a preferred tourism route from the cultural tourism routes and leisure tourism routes, and then transmits the preferred tourism route to the mobile terminal through an interactive communication channel, and locates the mobile terminal in real time to obtain the mobile positioning data of the mobile terminal. Based on the preferred tourism route, the mobile positioning data is analyzed for navigation, and a cultural tourism navigation signal is generated. Then, through the cultural tourism navigation signal, a navigation interaction is performed with the mobile terminal, so that the tourist object can conduct cultural tourism according to the corresponding preferred tourism route.

[0071] It should be understood that, although the various steps in the flow chart of each embodiment of the present invention are shown in sequence according to the indication of the arrows, these steps are not necessarily performed in sequence according to the order indicated by the arrows. Unless otherwise specified herein, the execution of these steps is not strictly limited in order, and these steps can be performed in other orders. Moreover, at least a portion of the steps in each embodiment may include a plurality of sub-steps or a plurality of stages, and these sub-steps or stages are not necessarily performed at the same time, but can be performed at different times, and the execution order of these sub-steps or stages is not necessarily performed in sequence, but can be performed in turn or alternately with at least a portion of other steps or sub-steps or stages of other steps.

[0072] Those skilled in the art will appreciate that all or part of the processes in the above-described method embodiments can be implemented by instructing the relevant hardware through a computer program. The program can be stored in a non-volatile computer-readable storage medium. When executed, the program can include the processes of the above-described method embodiments. Any reference to memory, storage, database, or other media used in the various embodiments provided herein may include non-volatile and / or volatile memory. Non-volatile memory may include read-only memory (ROM), programmable ROM (PROM), electrically programmable ROM (EPROM), electrically erasable programmable ROM (EEPROM), or flash memory. Volatile memory may include random access memory (RAM) or external cache memory. By way of illustration and not limitation, RAM is available in various forms, such as static RAM (SRAM), dynamic RAM (DRAM), synchronous DRAM (SDRAM), double data rate SDRAM (DDRSDRAM), enhanced SDRAM (ESDRAM), synchronous link DRAM (SLDRAM), RAMbus direct RAM (RDRAM), direct RAMbus dynamic RAM (DRDRAM), and RAMbus dynamic RAM (RDRAM).

[0073] The technical features of the above-mentioned embodiments can be combined arbitrarily. In order to make the description concise, not all possible combinations of the technical features in the above-mentioned embodiments are described. However, as long as there is no contradiction in the combination of these technical features, they should be considered to be within the scope of this specification.

[0074] The above-described embodiments merely illustrate several implementations of the present invention, and while their descriptions are relatively specific and detailed, they should not be construed as limiting the scope of the present invention. It should be noted that a person skilled in the art would be able to make numerous variations and improvements without departing from the spirit of the present invention, all of which fall within the scope of protection of the present invention. Therefore, the scope of protection of the present invention shall be determined by the appended claims.

[0075] The above description is only a preferred embodiment of the present invention and is not intended to limit the present invention. Any modifications, equivalent substitutions and improvements made within the spirit and principles of the present invention should be included in the scope of protection of the present invention.

Claims

1. A comprehensive cultural tourism management method based on data analysis, characterized by: The method specifically comprises the following steps: Determine cultural tourism management goals, obtain basic cultural tourism data for the cultural tourism management goals, identify and analyze the basic cultural tourism data, and plan cultural tourism routes and leisure tourism routes; Interact with the mobile terminal of the tourist object to obtain cultural and travel record data; Extracting valid cultural and travel information from the cultural and travel record data, performing feature recognition and preference analysis on the valid cultural and travel information, and determining the travel preference type; According to the tourism preference type, a preferred tourism route is matched from the cultural tourism route and the leisure tourism route, and a guided tour interaction is performed with the mobile terminal.

2. The comprehensive cultural tourism management method based on data analysis according to claim 1 is characterized in that: Determining the cultural tourism management target, obtaining basic cultural tourism data for the cultural tourism management target, identifying and analyzing the basic cultural tourism data, and planning cultural tourism routes and leisure tourism routes specifically include the following steps: Determine cultural tourism management objectives; Obtaining basic cultural and tourism data for the cultural and tourism management target; Performing scenic spot analysis on the basic cultural and tourism data to determine multiple internal cultural and tourism attractions; The plurality of internal cultural and tourism attractions are classified and routes are planned to generate cultural tourism routes and leisure tourism routes.

3. The comprehensive cultural tourism management method based on data analysis according to claim 2 is characterized in that: The classification and route planning of the plurality of internal cultural and tourist attractions to generate cultural tourism routes and leisure tourism routes specifically includes the following steps: Filtering the scenic spot information corresponding to the plurality of internal cultural and tourism scenic spots from the basic cultural and tourism data; Identifying the plurality of scenic spot information, and dividing the plurality of internal cultural and tourism scenic spots into a plurality of essential tourist attractions, a plurality of cultural tourist attractions, and a plurality of leisure tourist attractions; Planning and generating a cultural tourism route based on the plurality of necessary tourist attractions and the plurality of cultural tourism attractions; A leisure tourism route is planned and generated based on the plurality of necessary tourist attractions and the plurality of leisure tourism attractions.

4. The comprehensive cultural tourism management method based on data analysis according to claim 3 is characterized in that: Identify the plurality of scenic spot information and divide the plurality of internal cultural and tourism scenic spots into a plurality of necessary tourist attractions, a plurality of cultural tourist attractions, and a plurality of leisure tourist attractions. The specific steps are as follows: Acquire raw data based on the information of the plurality of scenic spots, the raw data including feature data, historical value scores, and visitor quantity and scale scores; The historical value score, tourist number score, and natural landscape score are used as dimensions of the original features, and a list of candidate attractions is generated based on the original features. Each original feature in the candidate attraction list corresponds to a score of one dimension. Determine the original feature weight according to the original features in the candidate scenic spot list, multiply each original feature by the corresponding original feature weight to obtain the weighted original feature; Determine the necessary attractions judgment threshold and cultural attractions judgment threshold through basic cultural tourism data, filter and sort the dimensions of the original features based on the necessary attractions judgment threshold, and obtain the necessary attractions judgment ranking table; Determine the weights of necessary attractions based on the necessary attractions ranking table, and calculate the comprehensive scores of necessary attractions using the weights of necessary attractions and the weighted original features; The dimensions of the original features are filtered and sorted based on the necessary cultural attractions judgment threshold to obtain a cultural attractions judgment ranking table; Determine the weight of cultural attractions based on the cultural attractions ranking table, and calculate the comprehensive score of cultural attractions through the weight of cultural attractions and the weighted original features; Determine the qualifying score ranges for essential attractions and cultural attractions through basic cultural and tourism data; The scenic spot classification results are generated based on the comprehensive scores of necessary scenic spots, the comprehensive scores of cultural scenic spots, the standard score intervals of necessary scenic spots, and the standard score intervals of cultural scenic spots; Through the results of scenic spot classification, we can obtain multiple necessary tourist attractions, multiple cultural tourist attractions and multiple leisure tourist attractions.

5. The comprehensive cultural tourism management method based on data analysis according to claim 4 is characterized in that: According to the plurality of necessary tourist attractions and the plurality of leisure tourist attractions, a leisure tourist route is planned and generated, and the specific steps are as follows: Determining a list of essential attractions based on the plurality of essential tourist attractions, and determining a list of leisure attractions based on the plurality of leisure tourist attractions, wherein each element in the list of leisure attractions includes a comfort score, a duration of play, and an average spending amount per person; Obtaining a transportation distance table between attractions based on the plurality of necessary tourist attractions and the plurality of leisure tourist attractions; The list of necessary attractions and the list of leisure attractions are integrated into a complete candidate combination, and then combined with the transportation distance table between attractions to generate an initial route framework; Generate a complete data list of candidate attractions based on the initial route framework. The data in the complete data list of candidate attractions includes the attraction name, location coordinates, comfort score, playing time and living consumption amount; Obtain the comfort scores of the attractions from the complete data list of candidate attractions, then accumulate and sum the comfort scores of all attractions to obtain the total comfort score of the route plan; Determining a subset of attractions selected by the user from the plurality of leisure tourism attractions, obtaining the duration of the attractions through a complete data list of candidate attractions, and determining the travel time between adjacent attractions through the location coordinates of the attractions; The playing time of all scenic spots is accumulated to obtain the cumulative playing time value, and the total transportation time is calculated by calculating the playing time of the scenic spot and the transportation time between adjacent scenic spots; Add the accumulated time spent on playing to the total time spent on transportation to get the total time spent on the route; Determine the weight distribution ratio of comfort and time cost based on the total comfort score of the route plan and the total route time; Multiply the total comfort score of the route plan by the weighted distribution ratio of comfort and time cost to obtain the weighted total comfort score; The total time of the route is processed using the weight distribution ratio of comfort and time cost to obtain the processed total time score of the route; The optimized score of the route is obtained by subtracting the total time score of the processed route from the weighted total comfort score. Determine the minimum number of attractions required by a plurality of the necessary tourist attractions and a plurality of the leisure tourist attractions, and obtain the total number of attractions by a complete data list of candidate attractions; The total number of attractions is judged using the minimum number of attractions requirement, and the attraction routes that meet the minimum number of attractions requirement are selected as the attraction routes that have passed one inspection; Determine the maximum distance limit between adjacent attractions based on the location coordinates of the attractions; The scenic spot routes that have passed one inspection are screened based on the maximum distance limit between adjacent scenic spots, and the scenic spot routes that have passed one inspection and are less than the maximum distance limit between adjacent scenic spots are screened as the scenic spot routes that have passed two inspections; Based on the scenic spot routes that have passed the two checks, the average per capita consumption amount of each route is obtained, and the average per capita consumption amount of each route is accumulated to obtain the total consumption amount of each route; The user's total budget limit is determined through the scenic spot information corresponding to the internal cultural and tourism scenic spots, and the scenic spot routes that have passed the two checks are screened based on the user's total budget limit and the total consumption amount of each route. The scenic spot routes that have passed the two checks and whose total consumption amount of the route is not greater than the user's total budget limit are selected as the scenic spot routes that have passed the three checks; The scenic spot routes that have undergone three inspections are sorted in descending order based on the optimization scores of the routes, and the scenic spot route that has undergone three inspections and has the highest optimization score is selected as the leisure tourism route.

6. The comprehensive cultural tourism management method based on data analysis according to claim 5 is characterized in that: The data interaction with the mobile terminal of the tourist object to obtain the cultural and travel record data specifically includes the following steps: Identify the mobile terminal of tourist objects; Generate and send an interaction request to the mobile terminal; When the mobile terminal agrees to the interaction request, establishing an interactive communication channel with the mobile terminal; The cultural and travel record data transmitted by the mobile terminal is received through the interactive communication channel.

7. The comprehensive cultural tourism management method based on data analysis according to claim 6 is characterized in that: When the mobile terminal agrees to the interaction request, an interactive communication channel with the mobile terminal is established, wherein a session key sequence is generated to improve the security of the communication channel. The specific steps of generating the session key sequence are as follows: After unifying the interaction request on the mobile terminal, triggering the positioning function and determining the current location coordinates; Use the local service base station to locate and determine the coordinates of the verification base station closest to the tourist object; Convert the current location coordinates and the verification base station coordinates closest to the tourist object into three-dimensional space vectors to obtain the current location coordinate vector and the verification base station coordinate vector closest to the tourist object; The moving speed of the tourist object is retrieved through the mobile terminal of the tourist object, and the spatial attenuation coefficient is determined based on the moving speed of the tourist object; The straight-line distance between the tourist object and the verification base station is calculated by using the current location coordinate vector and the coordinate vector of the verification base station closest to the tourist object; Multiply the straight-line distance between the tourist object and the verification base station by the spatial attenuation coefficient to obtain the spatial attenuation value; Determine the current timestamp and the user authentication timestamp through the mobile terminal of the tourist object, and determine the time decay coefficient through the timestamp and the user authentication timestamp; Calculate the difference between the user authentication timestamp and the current timestamp to obtain the time deviation value, input the time deviation value into the exponential decay function and multiply it by the time decay coefficient to obtain the time decay value; The spatial attenuation value range and the time attenuation value are added, and the result of the addition is encrypted using the national secret standard hash algorithm to obtain a hash encryption result; Normalizing the hash encryption result to obtain a normalized hash encryption result, and mapping the normalized hash encryption result to a standard numerical range to generate a dynamic security reference value; Acquire real-time biometric data from the tourist's mobile device. Real-time biometric parameters include facial parameters and fingerprint parameters, and determine the biometric matching threshold through the local service base station; Screening the real-time biometric parameters based on the biometric matching threshold, and forming the screened real-time biometric parameters into a biometric verification status identifier; Logically binding the security reference value of the update period with the biometric verification status identifier to obtain a logical binding result; Perform bitwise cross-processing on each logical binding result to generate an irreversible key, which is then used as a session key sequence.

8. The comprehensive cultural tourism management method based on data analysis according to claim 7 is characterized in that: Extracting valid cultural and travel information from the cultural and travel record data, performing feature recognition and preference analysis on the valid cultural and travel information, and determining the travel preference type specifically include the following steps: Extracting valid cultural and travel information from the cultural and travel record data; According to the preset multiple type features, feature recognition is performed on the multiple valid cultural and tourism information, and the feature recognition results are recorded; Based on the feature recognition results, preference analysis is conducted on tourist objects to determine the tourism preference type.

9. The comprehensive cultural tourism management method based on data analysis according to claim 8 is characterized in that: The step of matching a preferred travel route from the cultural travel route and the leisure travel route according to the travel preference type and performing navigation interaction with the mobile terminal specifically includes the following steps: According to the tourism preference type, matching a preferred tourism route from the cultural tourism route and the leisure tourism route; transmitting the preferred travel route to the mobile terminal via the interactive communication channel; Acquiring mobile positioning data of the mobile terminal in real time; Based on the preferred travel route, performing a navigation analysis on the mobile positioning data to generate a cultural and tourism navigation signal; Through the cultural and tourism guide signal, the guide interaction is carried out with the mobile terminal.

10. The comprehensive cultural tourism management method based on data analysis according to claim 9 is characterized in that: Based on the preferred travel route, the mobile positioning data is analyzed for navigation and a cultural and tourism navigation signal is generated. The specific steps are as follows: Determine user location coordinates through mobile positioning data; Extract the coordinates of the route at the corresponding time point from the preferred travel route as the recommended coordinates; Based on the user's location coordinates and the recommended coordinates, calculate the straight-line distance between the user's location and the recommended location within the period; The cycle is divided into multiple time points, and the cycle decay weight is determined based on the multiple time points. The straight-line distance between the user location and the recommended location is weighted summed using the cycle decay weight to obtain the trajectory deviation after time decay. Further determining the user's movement speed within the period based on the user's position coordinates, and obtaining a fluctuation amplitude of the speed value based on the user's movement speed within the period to generate a speed stability index value; Determine environmental adaptation analysis parameters based on the actual number of tourists in the local area; The time-attenuated trajectory deviation is multiplied by the environmental adaptation analysis parameter to obtain the product of the deviation and the analysis parameter. The speed stability index is then used to perform sensitivity compensation on the product of the deviation and the analysis parameter to obtain the standardized deviation value. The deviation value is standardized within the statistical period, and the slope of change of the deviation value is calculated. The deviation dynamic threshold is further determined by the slope of change of the deviation value; The standardized deviation value is judged based on the dynamic deviation threshold. When the standardized deviation value does not exceed the dynamic deviation threshold, the instruction is triggered and a cultural and tourism guide signal is generated.

11. The integrated cultural and tourism management system based on data analysis is characterized by: The system applies the comprehensive cultural and tourism management method based on data analysis as described in any one of claims 1 to 10 above, and the system includes: A tourism route planning unit is used to determine cultural tourism management goals, obtain basic cultural tourism data for the cultural tourism management goals, identify and analyze the basic cultural tourism data, and plan cultural tourism routes and leisure tourism routes; A data interaction processing unit is used to interact with the mobile terminal of the tourist object and obtain cultural and travel record data; A cultural and travel preference analysis unit, configured to extract valid cultural and travel information from the cultural and travel record data, perform feature recognition and preference analysis on the valid cultural and travel information, and determine a travel preference type; The preference navigation interaction unit is used to match the preferred tourist route from the cultural tourist route and the leisure tourist route according to the tourist preference type, and to perform navigation interaction with the mobile terminal.

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