Digitalized planning method and device for historical urban tourist route and electronic equipment

Abstract

The invention relates to a digital planning method and device for a historical urban tourist route and electronic equipment, and the method comprises the steps: obtaining the multi-modal data of a historical urban area, constructing a digital planning platform based on the multi-modal data of the historical urban area, obtaining the user input data, and carrying out the digital planning of the historical urban tourist route. And performing data planning on the user input data based on the digital planning platform to obtain an optimal tour route. According to the method provided by the invention, more comprehensive and personalized requirements of tourists are met, and a historical urban exploration experience route with detailed planning is provided.

Description

Technical Field

[0001] The present invention relates to the technical field of digital planning of tourist routes in historical urban areas, and in particular to a digital planning method, device and electronic equipment for tourist routes in historical urban areas. Background Art

[0002] Historical urban areas have always carried rich cultural heritage and unique historical landscapes, attracting countless tourists and history enthusiasts to visit. However, tourists often face problems such as information fragmentation and unclear route planning in the process of exploring historical urban areas. Traditional travel recommendation methods often cannot meet the diverse needs of tourists. At present, there are the following technical problems in the route planning of tourists' travel: First, the attractions are scattered and the theme is unclear. Traditional keyword searches usually lead to the long and scattered distances between urban attractions, and the transportation between them is inconvenient, which makes the tourists' tour inefficient, most of the time is wasted on transportation, and the tour experience is limited. Secondly, there is a lack of connection between scenic spot tours and catering and accommodation. Tourists find it difficult to find suitable catering and accommodation places during or after the tour, or the accommodation places they find are too far away from the attractions planned for future tours, resulting in more time wasted on the road. There is a lack of mature travel strategy formulation technology. Tourists usually lack a systematic travel strategy before going to the tourist destination and have limited knowledge of the destination. Therefore, when visiting, they often decide the itinerary at will based on a whim or online strategy, resulting in some attractions being too crowded, while other potential attractions are rarely visited by tourists. Summary of the invention

[0003] In view of this, it is necessary to provide a digital planning method, device and electronic equipment for historical city tourist routes, which can meet the more comprehensive and personalized needs of tourists and provide a detailed historical city exploration and experience route.

[0004] In order to achieve the above object, the present invention provides the following technical solutions: In a first aspect, the present invention provides a method for digitally planning a tourist route in a historical urban area, comprising: Obtain multimodal data of historic urban areas; Building a digital planning platform based on the multimodal data of the historic urban area; Acquire user input data, and perform data planning on the user input data based on the digital planning platform to obtain an optimal travel route; The digital planning platform includes: a data analysis unit, a theme recommendation unit and a route planning unit; The data analysis unit is used to classify the multimodal data of the historical city area to obtain a classification result, and send the classification result to the topic recommendation unit; The topic recommendation unit is used to formulate multiple topics based on the classification result and send the multiple topics to the route planning unit; The route planning unit is used to perform cluster analysis based on the user input data to obtain cluster analysis results, obtain user theme preference data based on the multiple themes, and perform route planning on the user theme preference data and the cluster analysis results to obtain the best travel route.

[0005] Optionally, the topic recommendation unit is further used to: The multiple themes are displayed visually on an interface based on the digital planning platform.

[0006] Optionally, obtaining the user's topic preference data based on the multiple topics includes: The user's interface dwelling time, user satisfaction and theme selection frequency when browsing visual themes through the digital planning platform are obtained, and the theme interest is calculated based on the interface dwelling time, the user satisfaction and the theme selection frequency to obtain the user's theme preference data.

[0007] Optionally, the topic interest calculation formula is as follows: ; Where: Select a frequency weight for the topic in question, Select a frequency for said topic, is the weight of average user satisfaction, For the user satisfaction, is the weight of the average interface residence time indicator, is the interface residence time and Topic interest.

[0008] Optionally, performing route planning on the user topic preference data and the cluster analysis results to obtain an optimal travel route includes: Route planning is performed on the user topic preference data and the cluster analysis results based on a reinforcement learning algorithm to obtain an optimal travel route.

[0009] Optionally, the digital planning platform further includes: a service evaluation module; The service evaluation module is used to receive the best travel route sent by the route planning unit, collect opinions and suggestions from users after experiencing the best travel route, and update and maintain the digital planning platform based on the opinions and suggestions.

[0010] Optionally, the digital planning platform further includes: an information recommendation module; The information recommendation module is used to receive the best travel route sent by the route planning unit, and recommend hotels, restaurants, public toilets and tourist rest areas along the way based on the best travel route.

[0011] In a second aspect, the present invention further provides a digital planning device for a tourist route in a historical urban area, comprising: An acquisition module is used to obtain multimodal data of the historical urban area; A construction module for constructing a digital planning platform based on multimodal data of the historic urban area; An output module is used to obtain user input data, perform data planning on the user input data based on the digital planning platform, and obtain an optimal travel route; The digital planning platform includes: a data analysis unit, a theme recommendation unit and a route planning unit; The data analysis unit is used to classify the multimodal data of the historical city area to obtain a classification result, and send the classification result to the topic recommendation unit; The topic recommendation unit is used to formulate multiple topics based on the classification result and send the multiple topics to the route planning unit; The route planning unit is used to perform cluster analysis based on the user input data to obtain cluster analysis results, obtain user theme preference data based on the multiple themes, and perform route planning on the user theme preference data and the cluster analysis results to obtain the best travel route.

[0012] In a third aspect, the present invention further provides an electronic device for executing a program stored in a memory to implement the steps in a method for digitally planning a tourist route in a historical urban area as in any of the above implementations.

[0013] In a fourth aspect, the present invention further provides a transient computer-readable storage medium for storing a computer program capable of implementing the steps in a method for digitally planning a tourist route in a historical urban area in any of the above-mentioned implementation modes.

[0014] The present invention provides a digital planning method, device, electronic device and storage medium for a tourist route in a historical city, which obtains multimodal data of a historical city, constructs a digital planning platform based on the multimodal data of the historical city, obtains user input data, and performs data planning on the user input data based on the digital planning platform to obtain an optimal tourist route. The digital planning platform includes: a data analysis unit, which is used to classify the multimodal data of the historical city to obtain a classification result, and send the classification result to the theme recommendation unit; the theme recommendation unit is used to formulate multiple themes based on the classification result, and send the multiple themes to the route planning unit; the route planning unit is used to perform cluster analysis based on the user input data to obtain a cluster analysis result, obtain the user's theme preference data based on the multiple themes, and perform route planning on the user's theme preference data and the cluster analysis result to obtain an optimal tourist route. The present application obtains multimodal data of a historical city, constructs a digital planning platform, obtains user input data, and performs data planning on the user input data based on the digital planning platform to obtain an optimal tourist route. Compared with the existing technology, this application provides a digital planning method for historical city tourist routes, which meets the more comprehensive and personalized needs of tourists and provides a detailed historical city exploration and experience route. BRIEF DESCRIPTION OF THE DRAWINGS

[0015] In order to more clearly illustrate the technical solutions in the embodiments of the present invention, the drawings required for use in the description of the embodiments will be briefly introduced below. Obviously, the drawings described below are only some embodiments of the present invention. For those skilled in the art, other drawings can be obtained based on these drawings without creative work.

[0016] Figure 1 A method flow chart of an embodiment of a digital planning method for a historical urban tourist route provided by the present invention; Figure 2 A method algorithm flow chart of an embodiment of a digital planning method for a historical urban tourist route provided by the present invention; Figure 3 A schematic diagram of the structure of an embodiment of a digital planning method for a historical urban tourist route provided by the present invention; Figure 4 A schematic structural diagram of an embodiment of an electronic device provided by the present invention. DETAILED DESCRIPTION

[0017] The technical solutions in the embodiments of the present invention will be described clearly and completely below in conjunction with the accompanying drawings in the embodiments of the present invention. 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 those skilled in the art without creative work are within the scope of protection of the present invention.

[0018] In the description of the embodiments of the present application, unless otherwise specified, “plurality” means two or more than two.

[0019] The terms "including" and "having" and any variations thereof in the embodiments of the present invention are intended to cover non-exclusive inclusions. For example, a process, method, apparatus, product or equipment comprising a series of steps or modules is not necessarily limited to those steps or modules clearly listed, but may include other steps or modules not clearly listed or inherent to these processes, methods, products or equipment.

[0020] The naming or numbering of the steps in the embodiments of the present invention does not mean that the steps in the method flow must be executed in the time / logical sequence indicated by the naming or numbering. The execution order of the named or numbered process steps can be changed according to the technical purpose to be achieved, as long as the same or similar technical effects can be achieved.

[0021] Reference to "embodiments" herein means that a particular feature, structure, or characteristic described in conjunction with the embodiments may be included in at least one embodiment of the present invention. The appearance of the phrase in various places in the specification does not necessarily refer to the same embodiment, nor is it an independent or alternative embodiment that is mutually exclusive with other embodiments. It is explicitly and implicitly understood by those skilled in the art that the embodiments described herein may be combined with other embodiments.

[0022] The present invention provides a method, device, electronic equipment and storage medium for digitally planning tourist routes in a historical urban area, which are respectively described below.

[0023] Figure 1 A method flow chart of an embodiment of a digital planning method for a historical urban tourist route provided by the present invention and Figure 2 A method algorithm flow chart of an embodiment of a digital planning method for a historical urban tourist route provided by the present invention includes: S110, obtaining multimodal data of the historical urban area; S120, build a digital planning platform based on multimodal data of historical urban areas; S130, obtaining user input data, and performing data planning on the user input data based on the digital planning platform to obtain the best travel route; The digital planning platform includes: data analysis unit, theme recommendation unit and route planning unit; A data analysis unit is used to classify the multimodal data of the historical city area, obtain classification results, and send the classification results to the topic recommendation unit; A topic recommendation unit, configured to formulate a plurality of topics based on the classification results and send the plurality of topics to the route planning unit; The route planning unit is used to perform cluster analysis based on user input data to obtain cluster analysis results, obtain user's theme preference data based on multiple topics, and perform route planning on the user's theme preference data and cluster analysis results to obtain the best travel route.

[0024] In this embodiment, the application obtains multimodal data of the historical city area, builds a digital planning platform, obtains user input data, and performs data planning on the user input data based on the digital planning platform to obtain the best travel route.

[0025] The digital planning platform includes: data analysis unit, theme recommendation unit and route planning unit; A data analysis unit is used to classify the multimodal data of the historical city area, obtain classification results, and send the classification results to the topic recommendation unit; A topic recommendation unit, configured to formulate a plurality of topics based on the classification results and send the plurality of topics to the route planning unit; The route planning unit is used to perform cluster analysis based on user input data to obtain cluster analysis results, obtain user's theme preference data based on multiple topics, and perform route planning on the user's theme preference data and cluster analysis results to obtain the best travel route.

[0026] Compared with the existing technology, this application provides a digital planning method for historical city tourist routes, which meets the more comprehensive and personalized needs of tourists and provides a detailed historical city exploration and experience route.

[0027] In this embodiment, multimodal data of the historical city area is obtained, including but not limited to historical planning drawings in the plane category, land use type division data, OSM (Open Street Map) data, geographic tag information, traffic density and density information at different time periods, crowd tour experience survey reports in the spatial category, street view image analysis reports, semantic analysis result reports based on APP open source data, and architectural cultural heritage information in the historical city area; among them, the architectural cultural heritage information in the historical city area includes: the geographic coordinates of existing historical buildings, the appearance introduction information of existing historical buildings, the historical introduction information of existing historical buildings, ancient blocks, city walls, city gates, and cultural attractions. Based on relevant documents, such as historical archives, local chronicles, professional research, etc., the historical context stories of the historical city area are deeply excavated, including information on historical events, important figures, cultural heritage, etc.

[0028] In this embodiment, the data analysis unit classifies and processes the multimodal data of the historical city area obtained in the previous text based on the indicators of the richest thematic historical and cultural resources, the richest business, the highest keyword frequency, the best crowd evaluation, the highest pedestrian density, and the lowest congestion.

[0029] It is understandable that according to historical records, the excavated architectural and planning heritage of the historical city should be sorted out according to chronicles, biographies, architectural history and other factors to form a variety of historical city tourist routes and subdivide different themes when possible.

[0030] In this embodiment, the theme concept in the theme recommendation unit includes elements such as the name of the route, highlight attractions, recommended routes, historical background introduction, and cultural characteristics. For example, for a route with the theme of the former residence of a historical celebrity, a specific route can be designed to highlight the celebrity's life story and influence. For a route with the theme of ancient architecture, the style, craftsmanship and cultural background of the architecture can be emphasized. By designing wonderful theme concepts, more tourists can be attracted to explore the historical city and improve the quality of the tourism experience. Finally, one or several tourist routes in the historical city are determined as the basic reference for the planning of tourist routes in the historical city. The theme-related historical and cultural resources involved in the route, the accessibility of major attractions, crowd evaluation, and traffic conditions are listed together for comparison to determine the route.

[0031] In this embodiment, the digital planning method proposed in this application can help cities better display their historical and cultural heritage and provide tourists with a more in-depth and rich historical city tourism experience. This method can also provide tourists with convenient guided tour services through digital tools such as mobile applications, thereby increasing the attractiveness of historical city tourism.

[0032] In one embodiment, the topic recommendation unit is further used to: Multiple topics are visualized on the interface based on the digital planning platform.

[0033] In this embodiment, multiple topics are visualized on an interface based on a digital planning platform.

[0034] In this embodiment, the planned multiple topics and their subtitles are displayed visually on the interface, allowing visitors to select related topics and their subtitles under the list.

[0035] In one embodiment, obtaining the user's topic preference data based on multiple topics includes: The user's interface dwell time, user satisfaction and theme selection frequency when browsing visual themes through the digital planning platform are obtained, and the theme interest is calculated based on the interface dwell time, user satisfaction and theme selection frequency to obtain the user's theme preference data.

[0036] In this embodiment, the user's interest level in different topic paths is calculated by performing topic interest analysis, so as to recommend topic paths that best suit the interests of different types of users. Through topic interest analysis, the digital planning platform can recommend topic paths of interest to different types of users.

[0037] In this embodiment, the user's interface dwelling time, user satisfaction and theme selection frequency when browsing visual themes through the digital planning platform are obtained, and the theme interest is calculated based on the interface dwelling time, user satisfaction and theme selection frequency to obtain the user's theme preference data.

[0038] In one embodiment, the topic interest calculation formula is as follows: ; Where: Choose a frequency weight for the topic, Select a frequency for the topic, is the weight of average user satisfaction, For user satisfaction, is the weight of the average interface residence time indicator, is the interface residence time and Topic interest.

[0039] Furthermore, the calculation formula for topic selection frequency is as follows: ; In the formula, For user type, u is the number of times the topic path is selected, p To select a topic path, The total number of times all paths are accessed for a user type and Select a frequency for the topic; Going further, the calculation formula for user satisfaction is as follows: ; In the formula, The first i Rating, is the total number of ratings, u For user type, p The theme path and For user satisfaction; Furthermore, the calculation formula for the average user stay time is as follows: ; In the formula, For user type, u The first i The dwell time, is the total number of stays, p The theme path and The interface dwell time.

[0040] In this embodiment, the subject path interest formula can calculate the user's interest in different subject paths according to the user type, thereby recommending the subject paths that best suit the interests of different types of users.

[0041] In one embodiment, route planning is performed based on user topic preference data and cluster analysis results to obtain an optimal travel route, including: Route planning is performed based on the reinforcement learning algorithm based on user topic preference data and cluster analysis results to obtain the best travel route; Furthermore, the calculation formula for the total time of the best travel route is as follows: ; In the formula, is the total time spent on theme route 1, n, m and z are the total number of tourists visiting each node, and t is the average time spent by a single tourist visiting a single node.

[0042] In this embodiment, route planning is performed on user topic preference data and cluster analysis results based on a reinforcement learning algorithm to obtain an optimal travel route.

[0043] In this embodiment, the collected historical scenic spots are marked on the map, and a tour route is planned based on these marks to calculate the total time consumption of the entire tour route.

[0044] In this embodiment, based on the theme recommendation unit, multiple themes can be visualized on the interface based on the digital planning platform, and the route time data can also be displayed as a visualization parameter in the theme path navigation interface for tourists' reference. This can remind tourists to avoid spending too much time at a certain attraction, thereby affecting the overall itinerary.

[0045] In this embodiment, the user input data, including the user's location information (latitude and longitude information) and the submitted point of interest information (attraction name information), is obtained by calling Baidu Maps. Customized route planning can be provided for users, and the best route and time estimate can be recommended for them based on the user's points of interest. Create an account on the official website of Baidu Map Open Platform and create a new mobile application, start the forward / reverse geocoding service, and obtain AK (Access Key). Use Baidu Map's forward / reverse geocoding service to batch obtain the precise coordinates of customer devices. This helps to determine the user's exact location. Construct an access URL (Uniform Resource Locater) based on the address information of the user's device and the Baidu Map forward / reverse geocoding service, and use the acquired AK to batch obtain the Baidu coordinates of the user's device.

[0046] In this embodiment, if the user provides information about points of interest, the reinforcement learning algorithm is used to optimize the path planning to maximize user satisfaction and reduce walking time. Furthermore, the user is recommended a travel route and time estimate that passes through all points of interest. This step can be implemented using the Deep Q-Network (DQN) algorithm in deep reinforcement learning. If the user selects too many points of interest, the platform will pop up a suggestion to visit on different days or reduce the number of points of interest. If the user is located outside the historical city, it is recommended to start the tour from the recommended departure point.

[0047] Each scenic spot has its own unique historical background. The digital planning method of the present invention can help cities better display their historical and cultural heritage and provide tourists with a more in-depth and rich historical city tourism experience. This method can also provide tourists with convenient guided tour services through digital tools such as mobile applications, increase the attractiveness of historical city tourism, adapt to the historical city planning needs of different cities, and promote the inheritance and protection of historical and cultural heritage.

[0048] In one embodiment, the route planning unit is also used to obtain real-time monitoring indicators during the user's tour, re-plan the route based on the real-time monitoring indicators, and obtain the re-planned optimal travel route.

[0049] Furthermore, the real-time monitoring indicators are shown in Table 1: Table 1

[0050] It is understandable that during the user's tour, the tour route is adjusted and corrected in real time based on scenic spot information, city traffic information and weather information.

[0051] In this embodiment, if the user deviates from the established route, the system will prompt the user to adjust the direction or skip the node that deviates too far. If the weather changes suddenly, the system will suggest the user to take corresponding actions, such as buying rain gear or choosing indoor attractions to visit. If there is traffic congestion around a certain attraction, the system will suggest the user to choose other means of transportation. If the system detects that the attraction at the user's next stop is closed within the expected tour time, the system will suggest the user to skip the node and go directly to the next one; if the user stays at a certain attraction for too long, the system will remind the following attractions to speed up the tour progress or skip some attractions with relatively low recommendation values.

[0052] In one embodiment, the calculation formula for cluster analysis is as follows: ; In the formula, is the number of user categories, For the i The dataset has categories, For the i The center point of each category.

[0053] In this embodiment, cluster analysis can help classify users into different types or groups.

[0054] In one embodiment, the digital planning platform further includes: a service evaluation module; The service evaluation module is used to collect users' opinions and suggestions after experiencing the best travel routes, and to update and maintain the digital planning platform based on the opinions and suggestions.

[0055] In this embodiment, after the user completes the tour, the user is invited to evaluate the theme route. The evaluation includes landscape experience satisfaction, traffic experience satisfaction, and service experience satisfaction. These evaluations will be used to improve the system and incorporated into the algorithm of the next batch of theme route recommendation mechanisms. Landscape experience satisfaction covers the quality score of the attractions along the entire tour route, traffic experience satisfaction covers the evaluation of the transportation convenience of the attractions, and service experience satisfaction focuses on the quality of the services provided by the attractions. These evaluations will provide future users with a better travel experience.

[0056] In this embodiment, the overall design of the digital planning platform is guided by the comprehensive protection of historical and cultural resources rather than commercial historical blocks. Secondly, the main aspects to be considered include the overall concept based on the theme, the protection and utilization plan of historical and cultural resources, the general planning and design plan, the traffic flow line arrangement dominated by pedestrian flow lines, the transformation and improvement of the street and landscape interface, the design and installation of the guide sign system, and the supplement of supporting facilities. Historical and cultural resource protection and utilization plan: Propose solutions for the protection and utilization of historical and cultural resources based on the characteristics of the scenic area. Traffic flow line arrangement dominated by pedestrian flow lines: Based on the current general plan of the scenic area, traffic flow lines dominated by pedestrian flow lines are proposed to avoid the mixing of a large number of people and vehicles as much as possible. Auxiliary, the internal streets and landscape interfaces of the scenic area are transformed and improved.

[0057] In one embodiment, the digital planning platform further includes: an information recommendation module; The information recommendation module is used to recommend hotels, restaurants, public toilets and tourist rest areas along the way based on the best travel route.

[0058] In this embodiment, dining places and accommodation places are recommended to users in combination with the number of users, the specific route selected, and the tour time period. Dining and accommodation suggestions are provided according to the user's needs and itinerary, such as displaying the prices and comfort of dining and accommodation. If the number of users traveling is 2, a specific route is selected, the travel time is 9 am, and it is expected to arrive near place A around 12 noon, the system will recommend nearby restaurants for users to choose from, and provide nearby accommodation suggestions after the tour of place B is over. If no restaurant or accommodation is found within the vicinity of the tour location, the system will expand the search range, or look for restaurants within one kilometer of the next tour node, and recommend tourists to dine or stay at the next node.

[0059] Figure 3 A schematic diagram of a digital planning method for a historical urban tourist route provided by the present invention includes: An acquisition module 301 is used to acquire multimodal data of a historical city area; A construction module 302 is used to construct a digital planning platform based on multimodal data of the historical urban area; The output module 303 is used to obtain the user input data, perform data planning on the user input data based on the digital planning platform, and obtain the best travel route; The digital planning platform includes: data analysis unit, theme recommendation unit and route planning unit; A data analysis unit is used to classify the multimodal data of the historical city area, obtain classification results, and send the classification results to the topic recommendation unit; A topic recommendation unit, configured to formulate a plurality of topics based on the classification results and send the plurality of topics to the route planning unit; The route planning unit is used to perform cluster analysis based on user input data to obtain cluster analysis results, obtain user's theme preference data based on multiple topics, and perform route planning on the user's theme preference data and cluster analysis results to obtain the best travel route.

[0060] The digital planning device for a historical urban tourist route provided in the above embodiment can implement the technical solution described in the above embodiment of a digital planning method for a historical urban tourist route. The specific implementation principles of the above modules or units can be found in the corresponding contents in the above embodiment of a digital planning method for a historical urban tourist route, which will not be repeated here.

[0061] like Figure 4 As shown, the present invention also provides an electronic device 400. The electronic device 400 includes a processor 401, a memory 402 and a display 403. Figure 4 Only some components of the electronic device 400 are shown, but it should be understood that it is not required to implement all of the components shown, and more or fewer components may be implemented instead.

[0062] In some embodiments, the memory 402 may be an internal storage unit of the electronic device 400, such as a hard disk or memory of the electronic device 400. In other embodiments, the memory 402 may also be an external storage device of the electronic device 400, such as a plug-in hard disk, a smart media card (SMC), a secure digital (SD) card, a flash card, etc., equipped on the electronic device 400.

[0063] Furthermore, the memory 402 may include both an internal storage unit of the electronic device 400 and an external storage device. The memory 402 is used to store application software installed in the electronic device 400 and various data.

[0064] In some embodiments, the processor 401 may be a central processing unit (CPU), a microprocessor or other data processing chip, used to run program codes or process data stored in the memory 402, such as a digital planning method for a historical city tourist route in the present invention.

[0065] In some embodiments, the display 403 may be an LED display, a liquid crystal display, a touch-sensitive liquid crystal display, an OLED (Organic Light-Emitting Diode) touch device, etc. The display 403 is used to display information on the electronic device 400 and to display a visual user interface. The components 401-403 of the electronic device 400 communicate with each other via a system bus.

[0066] In some embodiments of the present invention, when the processor 401 executes the digital planning program of the historical city tourist route in the memory 402, the following steps may be implemented: Obtain multimodal data of historic urban areas; Build a digital planning platform based on multimodal data of historical urban areas; Obtain user input data, perform data planning on the user input data based on the digital planning platform, and obtain the best travel route; The digital planning platform includes: data analysis unit, theme recommendation unit and route planning unit; A data analysis unit is used to classify the multimodal data of the historical city area, obtain classification results, and send the classification results to the topic recommendation unit; A topic recommendation unit, configured to formulate a plurality of topics based on the classification results and send the plurality of topics to the route planning unit; The route planning unit is used to perform cluster analysis based on user input data to obtain cluster analysis results, obtain user's theme preference data based on multiple topics, and perform route planning on the user's theme preference data and cluster analysis results to obtain the best travel route.

[0067] It should be understood that: when the processor 401 executes the digital planning program for the historical city tourist route in the memory 402, in addition to the above functions, it can also realize other functions. For details, please refer to the description of the corresponding method embodiment above.

[0068] Furthermore, the embodiment of the present invention does not specifically limit the type of the electronic device 400 mentioned, and the electronic device 400 may be a portable electronic device such as a mobile phone, a tablet computer, a personal digital assistant (PDA), a wearable device, a laptop computer, etc. Exemplary embodiments of portable electronic devices include but are not limited to portable electronic devices equipped with IOS, Android, Microsoft or other operating systems. The above-mentioned portable electronic device may also be other portable electronic devices, such as a laptop computer with a touch-sensitive surface (e.g., a touch panel). It should also be understood that in some other embodiments of the present invention, the electronic device 400 may not be a portable electronic device, but a desktop computer with a touch-sensitive surface (e.g., a touch panel).

[0069] In another aspect, the present invention further provides a non-transitory computer-readable storage medium having a computer program stored thereon, which is implemented when the computer program is executed by a processor to execute a digital planning method for a historical city tourist route provided by the above methods, the method comprising: Obtain multimodal data of historic urban areas; Build a digital planning platform based on multimodal data of historical urban areas; Obtain user input data, perform data planning on the user input data based on the digital planning platform, and obtain the best travel route; The digital planning platform includes: data analysis unit, theme recommendation unit and route planning unit; A data analysis unit is used to classify the multimodal data of the historical city area, obtain classification results, and send the classification results to the topic recommendation unit; A topic recommendation unit, configured to formulate a plurality of topics based on the classification results and send the plurality of topics to the route planning unit; The route planning unit is used to perform cluster analysis based on user input data to obtain cluster analysis results, obtain user's theme preference data based on multiple topics, and perform route planning on the user's theme preference data and cluster analysis results to obtain the best travel route.

[0070] Those skilled in the art will appreciate that all or part of the processes of the above-mentioned embodiments can be implemented by instructing related hardware through a computer program, and the program can be stored in a computer-readable storage medium, wherein the computer-readable storage medium is a disk, an optical disk, a read-only storage memory, or a random access memory, etc.

[0071] The above is a detailed introduction to the digital planning method, device, electronic device and storage medium for a historical city tourist route provided by the present invention. Specific examples are used in this article to illustrate the principles and implementation methods of the present invention. The description of the above embodiments is only used to help understand the method of the present invention and its core idea; at the same time, for technical personnel in this field, according to the idea of ​​the present invention, there will be changes in the specific implementation method and application scope. In summary, the content of this specification should not be understood as a limitation on the present invention.

Claims

1. A digital planning method for a historical urban tourist route, characterized in that: include: Obtain multimodal data of historic urban areas; Building a digital planning platform based on the multimodal data of the historic urban area; Acquire user input data, and perform data planning on the user input data based on the digital planning platform to obtain an optimal travel route; The digital planning platform includes: a data analysis unit, a theme recommendation unit and a route planning unit; The data analysis unit is used to classify the multimodal data of the historical city area to obtain a classification result, and send the classification result to the topic recommendation unit; The topic recommendation unit is used to formulate multiple topics based on the classification result and send the multiple topics to the route planning unit; The route planning unit is used to perform cluster analysis based on the user input data to obtain cluster analysis results, obtain user theme preference data based on the multiple themes, and perform route planning on the user theme preference data and the cluster analysis results to obtain the best travel route.

2. The digital planning method for a historical city tourist route according to claim 1 is characterized in that: The topic recommendation unit is further used for: The multiple themes are displayed visually on an interface based on the digital planning platform.

3. The digital planning method for a historical city tourist route according to claim 1 is characterized in that: The obtaining the user's topic preference data based on the multiple topics includes: The user's interface dwelling time, user satisfaction and theme selection frequency when browsing visual themes through the digital planning platform are obtained, and the theme interest is calculated based on the interface dwelling time, the user satisfaction and the theme selection frequency to obtain the user's theme preference data.

4. The digital planning method for a historical city tourist route according to claim 3 is characterized in that: The topic interest calculation formula is as follows: R u，p =w1·M u，p，1 +w2·M u，p，2 +w3·M u，p，3 ; Where: w1 is the weight of the topic selection frequency, M u，p，1 is the frequency of topic selection, w2 is the weight of average user satisfaction, M u，p，2 is the user satisfaction, w3 is the weight of the average interface dwell time indicator, M u，p，3 is the interface residence time and R u，p Topic interest.

5. The digital planning method for a historical city tourist route according to claim 1 is characterized in that: The performing route planning on the user topic preference data and the cluster analysis results to obtain the best travel route includes: Route planning is performed on the user topic preference data and the cluster analysis results based on a reinforcement learning algorithm to obtain an optimal travel route.

6. The digital planning method for a historical city tourist route according to claim 1 is characterized in that: The digital planning platform also includes: a service evaluation module; The service evaluation module is used to receive the best travel route sent by the route planning unit, collect opinions and suggestions from users after experiencing the best travel route, and update and maintain the digital planning platform based on the opinions and suggestions.

7. The digital planning method for a historical city tourist route according to claim 1 is characterized in that: The digital planning platform also includes: an information recommendation module; The information recommendation module is used to receive the best travel route sent by the route planning unit, and recommend hotels, restaurants, public toilets and tourist rest areas along the way based on the best travel route.

8. A digital planning device for a tourist route in a historical city, characterized in that: include: An acquisition module is used to obtain multimodal data of the historical urban area; A construction module for constructing a digital planning platform based on multimodal data of the historic urban area; An output module is used to obtain user input data, perform data planning on the user input data based on the digital planning platform, and obtain an optimal travel route; The digital planning platform includes: a data analysis unit, a theme recommendation unit and a route planning unit; The data analysis unit is used to classify the multimodal data of the historical city area to obtain a classification result, and send the classification result to the topic recommendation unit; The topic recommendation unit is used to formulate multiple topics based on the classification results and send the multiple topics to the route planning unit; The route planning unit is used to perform cluster analysis based on the user input data to obtain cluster analysis results, obtain user theme preference data based on the multiple themes, and perform route planning on the user theme preference data and the cluster analysis results to obtain the best travel route.

9. An electronic device, characterized in that: comprising a memory and a processor, wherein: The memory is used to store programs; The processor is coupled to the memory and is used to execute the program stored in the memory to implement the steps in the digital planning method for a historical city tourist route as described in any one of claims 1 to 7.

10. A non-transitory computer-readable storage medium having a computer program stored thereon, characterized in that: When the computer program is executed by a processor, it implements a method for digitally planning a tourist route in a historical urban area as described in any one of claims 1 to 7.

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