Intelligent modular line design and display system using AI technology

Abstract

The invention, which relates to the technical field of the line design and display system, discloses an intelligent modular line design and display system using an AI technology, comprising a position information database module, a line design module, a line confirmation module, a line display module, an intelligent matching module and a personalized label module. The position information database module is used for collecting and sorting basic information of a tourist destination by adopting an artificial intelligence automatic matching method to obtain a comprehensive data set; the intelligent matching module is used for preliminarily planning a travel route by adopting an artificial intelligence algorithm based on the comprehensive data set and generating a preliminary route suggestion; the route design module is used for further optimizing a route by adopting an artificial intelligence algorithm taking time, place and personal preference as variables based on the preliminary route suggestion to generate a personalized travel route; and the personalized label module is used for further customizing the personalized travel route by adopting a label classification method.

Description

Technical Field

[0001] The present invention relates to the technical field of circuit design and display systems, and in particular to an intelligent modular circuit design and display system using AI technology. Background Art

[0002] The circuit design and display system is an intelligent modular system based on artificial intelligence technology, aiming to provide users with efficient, personalized and flexible travel planning services.

[0003] In the field of circuit design and display systems, traditional travel planning tools rely on static data or manual searches by users, resulting in lagging, incomplete information updates, and even misleading information. At the same time, the traditional travel planning process usually requires users to manually search, compare, and combine various information, which is not only time-consuming and laborious, but also prone to missing important details. Moreover, traditional systems lack sufficient flexibility and response capabilities in the face of emergencies and are difficult to quickly adjust the itinerary to adapt to new conditions. Summary of the Invention

[0004] In view of the above existing problems, the present invention is proposed.

[0005] Therefore, the present invention provides an intelligent modular circuit design and display system using AI technology to solve the problems that traditional travel planning tools rely on static data or manual searches by users, resulting in lagging, incomplete information updates, and even misleading information. At the same time, the traditional travel planning process usually requires users to manually search, compare, and combine various information, which is not only time-consuming and laborious, but also prone to missing important details.

[0006] To solve the above technical problems, the present invention provides the following technical solutions:

[0007] In a first aspect, the present invention provides an intelligent modular circuit design and display system using AI technology, which includes:

[0008] A location information database module, a circuit design module, a circuit confirmation module, a circuit display module, an intelligent matching module, and a personalized label module;

[0009] The location information database module is used to collect and organize the basic information of tourist destinations by using an artificial intelligence automatic matching method to obtain a comprehensive data set;

[0010] The intelligent matching module is based on the comprehensive data set and is used to initially plan a travel route by using an artificial intelligence algorithm to generate a preliminary path suggestion;

[0011] The circuit design module is based on the preliminary path suggestion and further optimizes the route by using an artificial intelligence algorithm with time, location, and personal preferences as variables to generate a personalized travel route;

[0012] The personalized label module further customizes the personalized travel route by using the label classification method and obtains the customization result;

[0013] The route confirmation module, based on the customization result, uses an audit mechanism to finally confirm and adjust the entire travel route to obtain the final travel route;

[0014] The route display module is used to receive the final route plan and personalized settings from the route confirmation module, and is used to intuitively display them to users in various modes of pictures, texts and videos to obtain the display result.

[0015] As a preferred solution of the AI technology intelligent modular line design and display system described in the present invention, wherein: the basic information of the tourist destination is crawled from the Internet through the web crawler technology;

[0016] The basic information includes scenic spot introductions and recommendations for surrounding special cuisine;

[0017] Combined with user feedback and evaluations, a basic information database is constructed, and the attractiveness score of each destination is evaluated. The expression is:

[0018]

[0019] Wherein, S d is the final score of the destination calculated according to the distance and the score, R i represents the score of the i-th user, D i represents the distance from the user to the destination, λ is a preset attenuation coefficient used to adjust the influence degree of the distance on the score, and n is the total number of users participating in the scoring;

[0020] Based on the calculation results, the more popular destinations are identified, and their relevant information is preferentially integrated into the comprehensive data set to obtain the comprehensive data set;

[0021] During the process of generating the comprehensive data set, the system provides an artificial intervention interface, allowing operators to adjust and optimize the data according to the actual situation;

[0022] The adjustment and optimization include manually adding or deleting specific destinations, modifying the score and distance parameters, and the operator can make special markings or recommendations for certain special situations based on historical data.

[0023] As a preferred solution of the AI technology intelligent modular line design and display system described in the present invention, wherein: according to the comprehensive data set provided by the position information database module, an improved distance-score model is applied to calculate the attractiveness score of each potential tourist spot;

[0024] Based on the scores and the user's input interest preferences, calculate the total attractiveness value of each possible path, and the expression is:

[0025]

[0026] Among them, A path represents the total attractiveness of the entire path, S j is the attractiveness score of the j-th location, x j , y j are the geographical coordinates of the j-th location respectively, T j is the time required from the previous location to the current location, α is a preset time decay coefficient, and m is the total number of locations included in the path;

[0027] Through the above calculations, identify the most attractive path, and provide it to the user as a preliminary path suggestion, and obtain the preliminary path suggestion.

[0028] As a preferred solution of the AI technology intelligent modular line design and display system described in the present invention, wherein: based on the preliminary path suggestion, an improved time-preference model will be applied to calculate the suitability score of each potential activity point at different time periods, and the expression is:

[0029]

[0030] Among them, F activity represents the final suitability score of the activity point, P k represents the user's preference score for a specific type of activity, W k is the weight of the activity type, T current and T optimal are the current time and the best time period of the activity respectively, β is a preset time difference decay coefficient, and p is the total number of types included in the activity;

[0031] According to the above calculation results, combined with the user's personal preferences and actual available time, use an optimization algorithm to adjust the itinerary;

[0032] The system further analyzes factors such as transportation methods and accommodation options, and combines real-time data to fine-tune the itinerary;

[0033] The real-time data includes traffic conditions and hotel price fluctuations;

[0034] Combine the obtained data to generate a personalized travel route.

[0035] As a preferred solution of the AI technology - based intelligent modular route design and display system of the present invention, wherein: based on the optimized personalized travel route, the system calculates the correlation score between each activity point and the user's interest tags according to the user's personal preferences and historical behavior data by applying an improved label matching model. The expression is:

[0036]

[0037] Among them, R tag represents the correlation score between the activity point and the user's interest tags, T z is the importance weight of the z - th interest tag, I z is the score of the activity point on the z - th interest tag, I user is the preference value of the user on the z - th interest tag, δ is a preset preference difference decay coefficient, and r refers to the total number of interest tags;

[0038] Based on the correlation score, use the K - means clustering algorithm to group all activity points to form different theme categories;

[0039] The theme categories include historical and cultural exploration and natural scenery sightseeing;

[0040] According to the user's personal preferences and actual needs, select the most relevant activity points from each theme category and add them to the final itinerary plan to obtain the customized result.

[0041] As a preferred solution of the AI technology - based intelligent modular route design and display system of the present invention, wherein: conduct a comprehensive review of the customized travel route transmitted from the personalized label module;

[0042] The comprehensive review includes checking whether the arrangement of each activity point is reasonable, whether the time allocation meets the user's time limit, and whether the transportation connection is smooth;

[0043] Integrate the latest weather forecast and traffic conditions to evaluate the feasibility of the current itinerary arrangement;

[0044] When bad weather is predicted during a certain period, the system searches for alternative solutions or adjusts the activity order to avoid adverse conditions;

[0045] Based on the analysis results of real - time data, calculate the priority for adjustment. The expression is:

[0046]

[0047] Among them, A adjust represents the priority score of the activity that needs to be adjusted, S u is the importance weight of the u - th activity, Dcurrent is the current actual condition, D optimal is the optimal condition for this activity, is a preset condition difference attenuation coefficient, and v is the quantity included in the activity;

[0048] After the adjustment is completed, the system provides the final travel route to the user for review;

[0049] After the user's review and possible adjustments, the final travel route is generated.

[0050] As a preferred solution of the intelligent modular line design and display system using AI technology described in the present invention, wherein: the final determined travel route and all related personalized setting information are obtained from the line confirmation module;

[0051] According to the obtained information, a detailed itinerary description text, map markers, and multimedia materials are generated;

[0052] Using a preset template and algorithm to combine the above-generated content to form an itinerary guide with pictures and texts;

[0053] Based on the user's preferences and needs, multiple versions of itinerary display materials are generated, including a concise version, a detailed version, and a special requirements version;

[0054] Integrate interactive functions on the final display page;

[0055] The integrated interactive functions include a comment area, a favorite button, and one-click sharing to social media.

[0056] As a preferred solution of the intelligent modular line design and display system using AI technology described in the present invention, wherein: the personalized setting information includes daily activity arrangements, transportation methods, accommodation details, scenic spot introductions, and recommended content of local special cuisine;

[0057] The final confirmation and adjustment of the entire travel route are carried out by adopting an audit mechanism to obtain the final travel route, and it further includes:

[0058] During the audit and adjustment process, the system can use various modes of pictures, texts, and videos through the line display module to visually display to the user, and automatically match a suitable display style according to the user's preferences and journey characteristics, and perform personalized adjustments;

[0059] The system background supports freely changing the interface content, and travel agencies or users can update any part of the itinerary at any time according to the actual situation.

[0060] In a second aspect, the present invention provides a computer device, including a memory and a processor, where the memory stores a computer program, and: when the computer program is executed by the processor, it implements any step of the intelligent modular circuit design and display system using AI technology as described in the first aspect of the present invention.

[0061] In a third aspect, the present invention provides a computer-readable storage medium, on which a computer program is stored, and: when the computer program is executed by the processor, it implements any step of the intelligent modular circuit design and display system using AI technology as described in the first aspect of the present invention.

[0062] The beneficial effects of the present invention are as follows: By adopting an artificial intelligence automatic matching method to collect and sort out the basic information of tourist destinations, a quantitative evaluation of the destination attractiveness is realized, which not only improves the effectiveness and timeliness of data, but also enables more popular destinations to be preferentially displayed to users, thereby helping users find popular and suitable travel locations for themselves more quickly. By introducing a time-preference model to calculate the suitability scores of activity points at different time periods and combining the actual available time and preferences of users to adjust the itinerary, a highly personalized travel arrangement is realized. The customization not only improves the user experience, but also ensures that each activity is carried out at the best time period, maximizing the fun and satisfaction of the travel. By applying an improved label matching model to calculate the correlation scores between each activity point and the user interest labels, and using the K-means clustering algorithm to group the activity points into different theme categories, the system can select the most relevant activities according to the user's preferences to join the final itinerary plan. This method not only increases the diversity and flexibility of the itinerary, but also better meets the specific needs of different user groups, improving the quality of the overall travel experience. BRIEF DESCRIPTION OF THE DRAWINGS

[0063] In order to more clearly illustrate the technical solutions of the embodiments of the present invention, the following will briefly introduce the drawings required for the description of the embodiments. Obviously, the following drawings are only some embodiments of the present invention. For those of ordinary skill in the art, without creative efforts, other drawings can also be obtained based on these drawings.

[0064] Figure 1 It is a schematic diagram of the intelligent modular circuit design and display system using AI technology in Embodiment 1. DETAILED DESCRIPTION OF THE EMBODIMENTS

[0065] In order to make the above objects, features, and advantages of the present invention more obvious and understandable, the following will make a detailed description of the specific embodiments of the present invention in conjunction with the drawings in the specification.

[0066] In the following description, numerous specific details are set forth in order to provide a thorough understanding of the present invention. However, the present invention may be practiced in other ways than those specifically described herein, and those skilled in the art may make similar extensions without departing from the spirit of the present invention. Therefore, the present invention is not limited by the specific embodiments disclosed below.

[0067] Secondly, the so-called "one embodiment" or "embodiment" herein refers to a specific feature, structure, or characteristic that may be included in at least one implementation manner of the present invention. The phrase "in one embodiment" that appears in different places in this specification does not necessarily refer to the same embodiment, nor is it an individual or alternative embodiment that is mutually exclusive with other embodiments.

[0068] Embodiment 1, referring to Figure 1 , is the first embodiment of the present invention. This embodiment provides an AI technology-based intelligent modular circuit design and display system, including the following steps:

[0069] Use the artificial intelligence automatic matching method to collect and organize the basic information of the tourist destination to obtain a comprehensive data set;

[0070] Furthermore, use web crawler technology to scrape the basic information of the tourist destination from the Internet;

[0071] The basic information includes scenic spot introductions and recommended local specialties around;

[0072] Combine user feedback and evaluations to build a basic information database, and evaluate the attractiveness score of each destination. The expression is:

[0073]

[0074] Among them, S d is the final score of the destination calculated based on distance and rating, R i represents the rating of the i-th user, D i represents the distance from the user to the destination, λ is a preset attenuation coefficient used to adjust the influence degree of distance on the rating, and n is the total number of users participating in the rating;

[0075] Based on the calculation results, identify the more popular destinations and preferentially integrate their relevant information into the comprehensive data set to obtain the comprehensive data set;

[0076] During the process of generating the comprehensive data set, the system provides an artificial intervention interface, allowing operators to adjust and optimize the data according to the actual situation;

[0077] The adjustment and optimization include manually adding or deleting specific destinations, modifying ratings and distance parameters, and operators can make special markings or recommendations for certain special situations based on historical data;

[0078] It should be noted that by combining user feedback and evaluations to build a basic information database and evaluating the attractiveness scores of each destination, the system can not only provide the latest travel information, but also dynamically adjust the recommended content according to the user's preferences, improving the accuracy and practicality of the recommendations and helping users discover destinations that truly match their interests.

[0079] Based on the comprehensive data set, it is used to initially plan the travel route by using artificial intelligence algorithms and generate preliminary path suggestions;

[0080] Furthermore, according to the comprehensive data set provided by the location information database module, an improved distance - scoring model is applied to calculate the attractiveness scores of each potential tourist spot;

[0081] Based on the scores and the user - input interest preferences, calculate the total attractiveness value of each possible path, and the expression is:

[0082]

[0083] where, A path represents the total attractiveness of the entire path, S j is the attractiveness score of the j - th location, x j , y j are the geographical coordinates of the j - th location respectively, T j is the time required from the previous location to the current location, α is a preset time decay coefficient, and m is the total number of locations included in the path;

[0084] Through the above calculations, identify the most attractive path and provide it to the user as a preliminary path suggestion, and obtain the preliminary path suggestion;

[0085] It should be noted that by calculating the attractiveness scores of potential tourist spots based on the improved distance - scoring model, this step ensures that the generated preliminary path suggestions not only consider geographical distance and scoring factors, but also take into account the actual needs and preferences of users, and the method significantly improves the rationality of path planning and the user experience.

[0086] Based on the preliminary path suggestions, further optimize the route by using an artificial intelligence algorithm with time, location, and personal preferences as variables to generate a personalized travel route;

[0087] Furthermore, based on the preliminary path suggestions, an improved time - preference model will be applied to calculate the suitability scores of each potential activity point at different time periods, and the expression is:

[0088]

[0089] where, F activityRepresents the final suitability score of the active point, P k Represents the preference score of the user for a specific type of activity, W k Is the weight of the activity type, T current And T optimal Are the current time and the best time period for the activity respectively, β is a preset time difference attenuation coefficient, p is the total number of types included in the activity;

[0090] According to the above calculation results, combined with the user's personal preferences and actual available time, use an optimization algorithm to adjust the itinerary;

[0091] The system further analyzes factors such as transportation methods and accommodation options, and combines real-time data to fine-tune the itinerary;

[0092] Real-time data includes traffic conditions and hotel price fluctuations;

[0093] Combine the obtained data to generate a personalized travel route;

[0094] It should be noted that applying the improved time-preference model to calculate the suitability scores of each potential activity point at different time periods enables the system to provide more flexible and personalized travel arrangements. The meticulous optimization process not only takes into account time allocation and personal preferences but also further fine-tunes with real-time data to ensure the coherence and comfort of the itinerary.

[0095] Use the method of label classification to further customize the personalized travel route and obtain the customization result;

[0096] Furthermore, based on the optimized personalized travel route, the system applies the improved label matching model to calculate the correlation score between each activity point and the user's interest labels according to the user's personal preferences and historical behavior data. The expression is:

[0097]

[0098] Among them, R tag Represents the correlation score between the activity point and the user's interest label, T z Is the importance weight of the z-th interest label, I z Is the score of the activity point on the z-th interest label, I user Is the preference value of the user on the z-th interest label, δ is a preset preference difference attenuation coefficient, r refers to the total number of interest labels;

[0099] Based on the correlation score, use the K-means clustering algorithm to group all activity points to form different theme categories;

[0100] The theme categories include historical and cultural exploration as well as natural scenery tours;

[0101] Based on the user's personal preferences and actual needs, the most relevant activity points will be selected from each theme category and added to the final itinerary plan to obtain a customized result;

[0102] It should be noted that using the K-means clustering algorithm to group all activity points into different theme categories not only increases the diversity of the itinerary but also enables the system to provide a highly customized travel experience based on the user's interest tags. This method effectively meets the specific needs of different user groups and improves the quality of the overall travel plan.

[0103] Based on the customized result, an audit mechanism is adopted to finally confirm and adjust the entire travel route to obtain the final travel route;

[0104] Furthermore, a comprehensive review is conducted on the customized travel route passed from the personalized tag module;

[0105] The comprehensive review includes checking whether the arrangement of each activity point is reasonable, whether the time allocation meets the user's time limit, and whether the transportation connection is smooth;

[0106] The latest weather forecast and traffic conditions will be integrated to evaluate the feasibility of the current itinerary arrangement;

[0107] When bad weather is predicted during a certain period, the system searches for alternative solutions or adjusts the activity order to avoid adverse conditions;

[0108] Based on the analysis results of real-time data, the priority for adjustment is calculated, and the expression is:

[0109]

[0110] where A adjust represents the priority score for adjusting the activity, S u is the importance weight of the u-th activity, D current is the current actual condition, D optimal is the best condition for this activity, is a preset condition difference attenuation coefficient, and v is the quantity included in the activity;

[0111] After the adjustment is completed, the system provides the final travel route to the user for review;

[0112] After the user's review and possible adjustments, the final travel route is generated;

[0113] During the review and adjustment process, the system can use the route display module to visually present to users in multiple modes of pictures, texts, and videos. According to the user's preferences and journey characteristics, it automatically matches a suitable display style and makes personalized adjustments.

[0114] The system background supports freely modifying the interface content, and travel agencies or users can update any part of the itinerary at any time according to the actual situation.

[0115] It should be noted that by comprehensively reviewing the customized travel route and integrating the latest weather forecasts and traffic conditions, the system can make necessary adjustments before final confirmation, ensuring that the entire journey arrangement not only meets the user's expectations but also can cope with various unforeseen situations, such as bad weather or traffic jams, thereby improving the safety and smoothness of the travel.

[0116] Receive the final route plan and personalized settings from the route confirmation module, and use multiple modes of pictures, texts, and videos to visually present to users to obtain the display result.

[0117] Furthermore, obtain the finally determined travel route and all related personalized setting information from the route confirmation module.

[0118] Generate detailed itinerary description texts, map markers, and multimedia materials based on the obtained information.

[0119] Use preset templates and algorithms to combine the above-generated content to form a picture-rich itinerary guide.

[0120] Generate multiple versions of itinerary display materials based on the user's preferences and needs, including a concise version, a detailed version, and a special needs version.

[0121] Integrate interactive functions on the final display page.

[0122] The integrated interactive functions include a comment area, a favorite button, and one-click sharing to social media.

[0123] The personalized setting information includes daily activity arrangements, transportation methods, accommodation details, scenic spot introductions, and recommendations for local special cuisine.

[0124] It should be noted that integrating interactive functions such as a comment area, a favorite button, and one-click sharing to social media on the final display page not only enhances the user's sense of participation and sharing desire but also provides a convenient communication platform for users. Users can easily obtain others' experiences and suggestions through these functions to further enrich their travel plans. In addition, multiple versions of itinerary display materials (concise version, detailed version, and special needs version) meet the needs of different users and provide a more personalized service experience.

[0125] This embodiment also provides a computer device, which is applicable to the situation of using AI technology for intelligent modular circuit design and display system, including: a memory and a processor; the memory is used to store computer-executable instructions, and the processor is used to execute the computer-executable instructions to implement the intelligent modular circuit design and display system using AI technology as proposed in the above embodiment.

[0126] The computer device can be a terminal. The computer device includes a processor, a memory, a communication interface, a display screen, and an input device connected through a system bus. Among them, the processor of the computer device is used to provide computing and control capabilities. The memory of the computer device includes a non-volatile storage medium and an internal memory. The non-volatile storage medium stores an operating system and a computer program. The internal memory provides an environment for the operation of the operating system and the computer program in the non-volatile storage medium. The communication interface of the computer device is used to communicate with an external terminal in a wired or wireless manner. The wireless manner can be implemented through Wi-Fi, a carrier network, NFC (Near Field Communication), or other technologies. The display screen of the computer device can be a liquid crystal display screen or an electronic ink display screen. The input device of the computer device can be a touch layer covering the display screen, or a button, a trackball, or a touchpad provided on the outer shell of the computer device, or an external keyboard, a touchpad, or a mouse, etc.

[0127] This embodiment also provides a storage medium, on which a computer program is stored. When the program is executed by a processor, it implements the intelligent modular circuit design and display system using AI technology as proposed in the above embodiment; the storage medium can be implemented by any type of volatile or non-volatile storage device or a combination thereof, such as Static Random Access Memory (SRAM), Electrically Erasable Programmable Read-Only Memory (EEPROM), Erasable Programmable Read Only Memory (EPROM), Programmable Read-Only Memory (PROM), Read-Only Memory (ROM), magnetic memory, flash memory, a magnetic disk, or an optical disc.

[0128] In summary, the present invention collects and organizes the basic information of tourist destinations through an artificial intelligence automatic matching method, realizes the quantitative evaluation of the attractiveness of destinations, not only improves the effectiveness and timeliness of data, but also enables more popular destinations to be preferentially displayed to users, thereby helping users find popular and suitable travel locations faster. By introducing a time-preference model to calculate the suitability scores of activity points at different time periods and combining the actual available time and preferences of users for itinerary adjustment, highly personalized travel arrangements are achieved. The customization not only enhances the user experience, but also ensures that each activity is carried out at the best time period, maximizing the fun and satisfaction of the trip. By applying an improved label matching model to calculate the correlation scores between each activity point and the user's interest labels and using the K-means clustering algorithm to group the activity points into different theme categories, the system can select the most relevant activities according to the user's preferences to add to the final itinerary plan. This method not only increases the diversity and flexibility of the itinerary, but also better meets the specific needs of different user groups, improving the quality of the overall travel experience.

[0129] It should be noted that the above embodiments are only used to illustrate the technical solutions of the present invention and not to limit them. Although the present invention has been described in detail with reference to the preferred embodiments, those of ordinary skill in the art should understand that the technical solutions of the present invention can be modified or equivalently replaced without departing from the spirit and scope of the technical solutions of the present invention, and they should all be covered by the scope of the claims of the present invention.

Claims

1. An intelligent modular circuit design and display system using AI technology, characterized in that: Including: A location information database module, a route design module, a route confirmation module, a route display module, an intelligent matching module, and a personalized tagging module; The location information database module is used to collect and organize the basic information of tourist destinations by using an artificial intelligence automatic matching method to obtain a comprehensive data set; The intelligent matching module, based on the comprehensive data set, is used to preliminarily plan travel routes by using an artificial intelligence algorithm to generate preliminary route suggestions; The route design module, based on the preliminary route suggestions, further optimizes the route by using an artificial intelligence algorithm with time, location, and personal preferences as variables to generate personalized travel routes; The personalized tagging module further customizes the personalized travel routes by using a tagging classification method and obtains the customization results; The route confirmation module, based on the customization results, uses an auditing mechanism to finally confirm and adjust the entire travel route to obtain the final travel route; The route display module is used to receive the final route plan and personalized settings from the route confirmation module and is used to intuitively display them to users in various modes of graphics, text, and video to obtain the display results.

2. The intelligent modular circuit design and display system using AI technology according to claim 1, characterized in that: The specific steps for collecting and organizing the basic information of tourist destinations by using an artificial intelligence automatic matching method to obtain a comprehensive data set are as follows: Scrape the basic information of tourist destinations from the Internet through web crawler technology; The basic information includes scenic spot introductions and recommendations for surrounding special cuisine; Combine user feedback and evaluations to construct a basic information database and evaluate the attractiveness score of each destination. The expression is: Among them, S d is the final score of the destination calculated based on the distance and the rating, R i represents the rating of the i-th user, D i represents the distance from the user to the destination, λ is a preset attenuation coefficient used to adjust the influence degree of the distance on the rating, and n is the total number of users participating in the rating; Based on the calculation results, identify the more popular destinations and preferentially integrate their relevant information into the comprehensive data set to obtain the comprehensive data set; During the process of generating the comprehensive data set, the system provides an artificial intervention interface, allowing operators to adjust and optimize the data according to the actual situation; The adjustments and optimizations include manually adding or deleting specific destinations, modifying scores, and distance parameters, and operators can make special markings or recommendations for certain special situations based on historical data.

3. The AI technology-based intelligent modular circuit design and display system according to claim 2, wherein: The specific steps for preliminarily planning travel routes by using an artificial intelligence algorithm based on the comprehensive data set to generate preliminary route suggestions are as follows: According to the comprehensive data set provided by the location information database module, apply an improved distance-score model to calculate the attractiveness score of each potential tourist spot; Based on the scores and the user's input interest preferences, calculate the total attractiveness value of each possible route. The expression is: Among them, A path represents the total attraction of the entire path, S j is the attraction score of the j-th location, x j , y j are the geographical coordinates of the j-th location respectively, T j is the time required to travel from the previous location to the current location, α is a preset time decay coefficient, and m is the total number of locations included in the path; Through the above calculations, identify the most attractive route and provide it to the user as a preliminary route suggestion to obtain the preliminary route suggestion.

4. The AI technology-enabled intelligent modular circuit design and display system according to claim 3, wherein: The specific steps for further optimizing the route by using an artificial intelligence algorithm with time, location, and personal preferences as variables based on the preliminary route suggestions to generate personalized travel routes are as follows: Based on the preliminary route suggestions, apply an improved time-preference model to calculate the suitability score of each potential activity point at different time periods. The expression is: Among them, F activity represents the final suitability score of the active point, P k represents the preference score of the user for a specific type of activity, W k is the weight of the activity type, T current and T optimal are the current time and the best time period of the activity respectively, β is a preset time difference decay coefficient, and p is the total number of types included in the activity; According to the above calculation results, combined with the user's personal preferences and actual available time, use an optimization algorithm to adjust the itinerary arrangement; The system further analyzes transportation modes and accommodation selection factors, and combines real-time data to fine-tune the itinerary; The real-time data includes traffic conditions and hotel price fluctuations; Based on the combined data, a personalized travel route is generated.

5. The AI technology - enabled intelligent modular circuit design and display system according to claim 4, wherein: The method of using tag classification is adopted to further customize the personalized travel route and obtain the customization result. The specific steps are as follows: Based on the optimized personalized travel route, the system applies an improved tag matching model according to the user's personal preferences and historical behavior data to calculate the correlation score between each activity point and the user's interest tags. The expression is: Among them, R tag represents the correlation score between the activity point and the user interest label, T z is the importance weight of the z-th interest label, I z is the score of the activity point on the z-th interest label, I user is the preference value of the user on the z-th interest label, δ is a preset preference difference attenuation coefficient, and r refers to the total number of interest labels; Based on the correlation scores, the K-means clustering algorithm is used to group all activity points to form different theme categories; The theme categories include historical and cultural exploration and natural scenery tours; According to the user's personal preferences and actual needs, the most relevant activity points are selected from each theme category and added to the final itinerary plan to obtain the customization result.

6. The AI technology-based intelligent modular circuit design and display system according to claim 5, characterized in that: Based on the customization result, an audit mechanism is adopted to finally confirm and adjust the entire travel route to obtain the final travel route. The specific steps are as follows: Conduct a comprehensive review of the customized travel route passed from the personalized tag module; The comprehensive review includes checking whether the arrangement of each activity point is reasonable, whether the time allocation meets the user's time limit, and whether the transportation connection is smooth; Integrate the latest weather forecast and traffic conditions to evaluate the feasibility of the current itinerary arrangement; When bad weather is predicted during a certain period, the system searches for alternative solutions or adjusts the activity order to avoid adverse conditions; Based on the analysis results of real-time data, calculate the priority of adjustment. The expression is: Among them, A adjust represents the priority score for adjusting the activity, S u is the importance weight of the u-th activity, D current is the current actual condition, D optimal is the optimal condition for this activity, is a preset condition difference attenuation coefficient, and v is the quantity included in the activity; After the adjustment is completed, the system provides the final travel route to the user for review; After the user's review and possible adjustments, the final travel route is generated.

7. The AI technology-based intelligent modular circuit design and display system according to claim 6, characterized in that: Receive the final route plan and personalized settings from the route confirmation module, and use various modes of pictures, texts, and videos to intuitively display them to the user to obtain the display result. The specific steps are as follows: Obtain the finally determined travel route and all related personalized setting information from the route confirmation module; According to the obtained information, generate a detailed itinerary description text, map markers, and multimedia materials; Use a preset template and algorithm to combine the generated content to form a picture-and-text itinerary guide; Based on the user's preferences and needs, generate multiple versions of itinerary display materials, including a brief version, a detailed version, and a special needs version; Integrate interactive functions on the final display page; The integrated interactive functions include a comment area, a favorite button, and a one-click share to social media.

8. The AI technology-based intelligent modular circuit design and display system according to claim 7, wherein: The personalized setting information includes daily activity arrangements, transportation modes, accommodation details, scenic spot introductions, and recommendations for surrounding special cuisine; The adoption of an audit mechanism to finally confirm and adjust the entire travel route to obtain the final travel route also includes: During the audit and adjustment process, the system can use various modes of pictures, texts, and videos to intuitively display them to the user through the route display module, and automatically match a suitable display style according to the user's preferences and journey characteristics, and perform personalized adjustments; The system background supports freely modifying the interface content, and travel agencies or users can update any part of the itinerary at any time according to the actual situation.

9. A computer device, comprising a memory and a processor, the memory storing a computer program, characterized in that: When the processor executes the computer program, it implements the steps of the AI technology-based intelligent modular route design and display system according to any one of claims 1 to 8.

10. A computer-readable storage medium having a computer program stored thereon, characterized in that: When the computer program is executed by the processor, it implements the steps of the AI technology-based intelligent modular route design and display system according to any one of claims 1 to 8.

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