Aviation travel plan and service customization system

Abstract

The invention discloses an air travel plan and service customization system, and particularly relates to the technical field of big data, the air travel plan and service customization system comprises a user terminal module, an intelligent travel planning engine and a service integration platform, and the user terminal module is connected to the intelligent travel planning engine and the service integration platform through the Internet. A travel demand and a current position of a user are obtained through a travel preference input module and a positioning module of a user terminal module, a dynamic scheme is generated in combination with a flight dynamic database, a hotel resource pool and a scenic spot ticket API under an intelligent travel planning engine, and after the user confirms a travel, the travel demand and the current position of the user are obtained. The service integration platform synchronously books air tickets and hotels and generates electronic certificates, when flights are delayed, alternative traffic scheme calculation is automatically triggered, travel nodes are dynamically connected to map navigation service, and the travel state of a user is updated in real time.

Description

Technical Field

[0001] This invention relates to the field of big data technology, and more specifically, to a travel planning and service customization system. Background Technology

[0002] With the continuous growth in demand for air travel, traditional air travel services can no longer meet the needs of modern users for personalized, efficient, and intelligent services during their travels. Traditional air travel services are usually planned and managed using a single model, lacking sufficient flexibility and refined customization. This traditional model not only easily leads to inefficient user experiences but also suffers from significant information silos, making it difficult to integrate information from multiple sources such as flights, transportation, and hotels to provide accurate travel recommendations.

[0003] While some smart travel platforms offer flight recommendations and travel planning services, these systems largely rely on static user data, such as historical flight records and basic personal preferences, making it difficult to fully utilize users' dynamic needs and real-time information. Furthermore, traditional systems are typically limited to flight recommendations, lacking unified planning and recommendations for multi-dimensional services such as hotels, transportation, and attractions. Therefore, existing technologies cannot achieve intelligent and customized management of the entire air travel process, nor can they effectively address complex dynamic changes that may occur during travel, such as flight delays and weather changes at the destination. In particular, when users temporarily change their itineraries or encounter emergencies, existing systems lack the ability to fuse and perceive multimodal data in real time, failing to accurately determine the user's actual needs and potential problems at that moment. Consequently, they cannot provide highly adaptable and forward-looking personalized services, significantly diminishing the user experience. Summary of the Invention

[0004] In order to overcome the above-mentioned defects of the prior art, embodiments of the present invention provide a travel planning and service customization system to solve the problems mentioned in the background art.

[0005] To achieve the above objectives, the present invention provides the following technical solution: a travel planning and service customization system, specifically including a user terminal module, an intelligent itinerary planning engine, and a service integration platform, wherein the user terminal module is connected to the intelligent itinerary planning engine and the service integration platform via the Internet;

[0006] A user demand collection terminal and a multi-source data fusion platform are constructed. The user demand collection terminal includes a travel preference input module, a real-time location module, and a graphic interaction module. The multi-source data fusion platform includes a flight dynamics database, a hotel resource pool, and a scenic spot ticket API.

[0007] The user terminal module obtains the user's travel needs through the trip preference input module, including departure point, destination, time window, budget range and special needs, and obtains the user's current location through the real-time positioning module;

[0008] The intelligent itinerary planning engine calls real-time data from a multi-source data fusion platform and combines it with a flight intelligent matching module, an accommodation linkage recommendation module, and an itinerary conflict detection module to generate dynamic solutions.

[0009] The service integration platform simultaneously books air tickets and hotels and generates electronic vouchers. When a flight is delayed, it automatically triggers the calculation of alternative transportation options and dynamically integrates the itinerary nodes into the map navigation service.

[0010] When an abnormal situation occurs during the execution of the trip, the following procedure should be followed:

[0011] S1. The anomaly detection module captures change signals and assesses the scope of impact.

[0012] S2, the service reconfiguration engine automatically optimizes subsequent processes within preset thresholds;

[0013] S3. Push confirmation of the change plan to the user through the graphic interaction module;

[0014] All trip data and user behavior characteristics are stored in the database.

[0015] Preferably, as a preferred embodiment of the travel planning and service customization system of the present invention, the user terminal module obtains the user's travel needs through the itinerary preference input module, including departure point, destination, time window, budget range, and special requirements, and obtains the user's current location through the real-time positioning module, specifically including:

[0016] When a user clicks on the user terminal application on a mobile device, its main interface is loaded and displayed. This includes an entry point for the trip preference input module, which guides the user to input their travel preferences. Users can type the departure and destination names in the text input boxes, select the desired departure and return dates using the date picker, determine the travel time window, set their desired total travel budget range (including minimum and maximum budgets) using the numeric input boxes, and a voice input interface is provided, allowing users to express special needs by voice, which is then converted into text using voice recognition technology.

[0017] When a user selects "Use current location as departure point" in the trip preference input module, the location module obtains the user's current location information, integrates it with the structured travel demand data obtained from the trip preference input module, encrypts it, and transmits it to the backend intelligent trip planning engine.

[0018] Preferably, as a preferred embodiment of the travel planning and service customization system of the present invention, the intelligent flight matching module receives user travel demand parameters from the intelligent itinerary planning engine, including: departure point, destination, departure date, return date, number of passengers, cabin class preference, and budget range. Through interface with the real-time flight data of a multi-source data fusion platform, it sends query requests to the API of airline providers to obtain flight information, including flight number, airline, aircraft type, departure airport, arrival airport, departure time, arrival time, number of transfers, transfer airport, transfer duration, flight punctuality rate, baggage allowance, and refund / change policies. Based on the user-input departure point, destination, date, and number of passengers, it initially filters flights, precisely matches them to the user-specified time window, filters flights with matching prices based on the user-set budget range, prioritizes direct flights according to user preferences, and comprehensively evaluates and sorts the filtered flights. The scoring dimensions include price score, time efficiency score, user preference score, and punctuality rate score. The filtered and sorted flight plan list is returned to the intelligent itinerary planning engine. The specific formula is as follows: ,in, Indicates price weighting. Indicates time efficiency weight. Indicates user preference weights, This indicates the weighting of on-time performance, and S is the overall flight score. , , , These represent the price score, time efficiency score, user preference score, and punctuality score, respectively.

[0019] Preferably, as a preferred embodiment of the travel planning and service customization system of the present invention, the accommodation linkage recommendation module receives preliminary itinerary planning results from the intelligent itinerary planning engine, connects with the real-time accommodation data interface of the multi-source data fusion platform, sends a query request to the API of the hotel booking platform to obtain hotel information, including hotel name, address, price, star rating, rating, hotel facility list, service list, pictures, user review summary, and surrounding transportation convenience. Based on the destination, check-in / check-out dates, number of people, and budget range, hotels are initially screened. Based on the daily itinerary activity locations provided by the intelligent itinerary planning engine, the distance and travel time from the hotel to the activity locations are calculated, and hotels with convenient transportation are prioritized for recommendation. The room availability and price for the selected date range are checked to ensure that the recommended hotels are bookable and the price is within the budget. The screened hotels are comprehensively evaluated and ranked, and the scoring dimensions include price score, location score, user review score, facility and service score, and brand and reputation score. The filtered and ranked accommodation plan list is then returned to the intelligent itinerary planning engine.

[0020] Preferably, as a preferred embodiment of the travel planning and service customization system of the present invention, the itinerary conflict detection module receives a list of flight and accommodation options from an intelligent itinerary planning engine, and performs itinerary conflict detection and adjustment through a real-time data interface with a multi-source data fusion platform, further comprising:

[0021] Receive filtered and sorted flight and accommodation options from the flight intelligent matching module and the accommodation linkage recommendation module, and compare them with the user's initial itinerary plan, including flight departure and arrival times, and accommodation check-in and check-out times;

[0022] Match flight and accommodation times to check for time conflicts in the user's itinerary. If the flight arrival time is later than the hotel check-in time or the flight departure time is earlier than the hotel check-out time, a conflict is indicated, and the conflict itinerary is marked as a conflict itinerary and the intelligent itinerary planning engine is notified.

[0023] For trips with multiple segments, based on the departure date, return date, and itinerary for each destination provided by the user, check whether there is sufficient transfer time between each flight to ensure that the user can transfer smoothly and not miss any flights;

[0024] Check the geographical coordination between flights and hotels to ensure that users can travel from the airport to the hotel and complete check-in within a reasonable timeframe;

[0025] If a travel conflict occurs, the system will automatically adjust the itinerary, including adjusting flight times and accommodation arrangements. Once the travel conflict detection module has completed its checks and adjustments, it will return the final travel plan without conflicts to the intelligent travel planning engine and provide the user with suggestions for travel optimization to ensure the smoothness and efficiency of the entire travel plan.

[0026] Preferably, as a preferred embodiment of the travel planning and service customization system of the present invention, it includes the service integration platform simultaneously booking air tickets and hotels and generating electronic vouchers, automatically triggering the calculation of alternative transportation options when flights are delayed, and dynamically integrating travel nodes into map navigation services, specifically including:

[0027] Receive the final itinerary plan confirmed by the intelligent itinerary planning engine, and automatically complete the booking of air tickets, hotels and other travel services through seamless integration with the airline's GDS interface and the hotel booking platform's API. After successful booking, automatically collect and integrate all booking information to generate unified and standardized electronic air tickets, hotel booking confirmations and attraction ticket QR code electronic vouchers, and push them to the user's account.

[0028] By continuously monitoring real-time updates on flight status, hotel status, and traffic conditions from a multi-source data fusion platform, the platform captures signals that may affect users' travel plans. When a user's booked flight is detected to be delayed to a preset threshold (more than 30 minutes), the service integration platform will immediately trigger the following process:

[0029] Immediately mobilize the computing power of the intelligent trip planning engine, and automatically calculate and recommend alternative transportation options by combining the user's current location, subsequent itinerary, and time budget factors;

[0030] Assess the scope and severity of the impact of this delay on users' subsequent travel plans, including hotel check-in times and attraction opening hours;

[0031] The system dynamically pushes key nodes in the user's trip to the API of mainstream map navigation services, allowing users to directly launch external map navigation applications for any trip node within the trip application, achieving "one-click navigation" to the destination, and obtaining real-time traffic data through map navigation services, which is then fed back to the intelligent trip planning engine for dynamic route optimization.

[0032] When an abnormal situation occurs during the execution of the trip, the following procedure shall be followed:

[0033] S1. The anomaly detection module captures change signals and assesses the scope of impact.

[0034] S2, the service reconfiguration engine automatically optimizes subsequent processes within preset thresholds;

[0035] S3. Push confirmation of the change plan to the user through the graphic interaction module;

[0036] All trip data and user behavior characteristics are stored in the database.

[0037] Preferably, as a preferred embodiment of the travel planning and service customization system of the present invention, the anomaly identification module is a sub-module of the service integration platform, responsible for monitoring the trip execution status, capturing various anomaly signals, and assessing their impact on the user's trip and their urgency, specifically including:

[0038] Deeply integrated with multi-source data fusion platforms, it receives and parses updates from the following external data sources in real time, including aviation data providers, hotel booking platforms, transportation information service providers, meteorological services, and emergency warnings;

[0039] This calculation determines the direct and indirect delays caused by abnormal events to various points in a user's itinerary, including expected arrival times for flights, hotel check-ins, and attraction visits. It also predicts additional costs incurred due to the abnormality, including rebooking fees, ticket refunds, additional accommodation costs, and emergency transportation fees. The specific formula is as follows: ,in, It is a comprehensive impact score, representing the overall impact of the abnormal event on the user's trip. and These are weighting coefficients that reflect the relative importance of delay duration and cost to users' travel. It is the delay duration of the i-th node. is the weight of the i-th node, and n is the number of nodes affected. The fee is incurred due to flight rescheduling. The losses incurred due to flight and hotel cancellations and resulting ticket refunds The additional accommodation costs are due to changes in the itinerary. These are emergency transportation costs incurred in response to emergencies.

[0040] On the other hand, the present invention provides a computer device, including a memory and a processor, wherein the memory stores a computer program, wherein when the computer program is executed by the processor, it implements the functional modules of a travel planning and service customization system as described above.

[0041] On the other hand, the present invention provides a computer-readable storage medium having a computer program stored thereon, wherein: when the computer program is executed by a processor, it implements a travel planning and service customization system as described above.

[0042] The technical effects and advantages provided by the present invention in the above technical solution are as follows:

[0043] By constructing a travel planning and service customization system, real-time collection and analysis of itinerary data are achieved. Combined with a multi-source data platform and intelligent algorithms, anomalies in the itinerary can be quickly identified, improving the accuracy of anomaly prediction and handling. When itinerary changes are detected, dynamic optimization is automatically performed, subsequent itinerary arrangements are quickly adjusted, and the changed plans are pushed to users through a graphic and text interaction module. This invention not only improves the flexibility and safety of travel, but also shortens the response time from itinerary changes to user feedback, optimizes the user experience, and effectively improves the overall efficiency and satisfaction of travel services. Attached Figure Description

[0044] To more clearly illustrate the technical solutions in the embodiments of this application or the prior art, the drawings used in the embodiments will be briefly introduced below. Obviously, the drawings described below are only some embodiments recorded in this invention. For those skilled in the art, other drawings can be obtained based on these drawings.

[0045] Figure 1 This is a flowchart of a method for a customized travel planning and service system according to the present invention.

[0046] Figure 2 This is a structural block diagram of a travel planning and service customization system according to the present invention. Detailed Implementation

[0047] The technical solutions of the embodiments of this application will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some embodiments of this application, and not all embodiments. Based on the embodiments of this application, all other embodiments obtained by those skilled in the art without creative effort are within the scope of protection of this application.

[0048] In the description of this application, the terms "first" and "second" are used for descriptive purposes only and should not be construed as indicating or implying relative importance or implicitly specifying the number of indicated technical features. Thus, a feature defined as "first" or "second" may explicitly or implicitly include one or more of the stated features. In the description of this application, "multiple" means two or more, unless otherwise explicitly specified.

[0049] In the description of this application, the term "for example" is used to mean "used as an example, illustration, or description." Any embodiment described as "for example" in this application is not necessarily to be construed as being more preferred or advantageous than other embodiments. The following description is provided to enable any person skilled in the art to make and use the invention. Details are set forth in the following description for purposes of explanation. It should be understood that those skilled in the art will recognize that the invention can be made without using these specific details. In other instances, well-known structures and processes will not be described in detail to avoid obscuring the description of the invention with unnecessary detail. Therefore, the invention is not intended to be limited to the embodiments shown, but is consistent with the broadest scope of the principles and features disclosed in this application.

[0050] Example 1

[0051] This embodiment provides, for example Figure 1 The system shown is a customized travel planning and service system, which specifically includes a user terminal module, an intelligent itinerary planning engine, and a service integration platform. The user terminal module is connected to the intelligent itinerary planning engine and the service integration platform via the Internet.

[0052] A user demand collection terminal and a multi-source data fusion platform are constructed. The user demand collection terminal includes a travel preference input module, a real-time location module, and a graphic interaction module. The multi-source data fusion platform includes a flight dynamics database, a hotel resource pool, and a scenic spot ticket API.

[0053] The user terminal module obtains the user's travel needs through the trip preference input module, including departure point, destination, time window, budget range and special needs, and obtains the user's current location through the real-time positioning module;

[0054] The intelligent itinerary planning engine calls real-time data from a multi-source data fusion platform and combines it with a flight intelligent matching module, an accommodation linkage recommendation module, and an itinerary conflict detection module to generate dynamic solutions.

[0055] The service integration platform simultaneously books air tickets and hotels and generates electronic vouchers. When a flight is delayed, it automatically triggers the calculation of alternative transportation options and dynamically integrates the itinerary nodes into the map navigation service.

[0056] When an abnormal situation occurs during the execution of the trip, the following procedure should be followed:

[0057] S1. The anomaly detection module captures change signals and assesses the scope of impact.

[0058] S2, the service reconfiguration engine automatically optimizes subsequent processes within preset thresholds;

[0059] S3. Push confirmation of the change plan to the user through the graphic interaction module;

[0060] All trip data and user behavior characteristics are stored in the database.

[0061] In this embodiment, the user terminal module is specifically described. This module obtains the user's travel needs, including departure point, destination, time window, budget range, and special requirements, through the trip preference input module, and obtains the user's current location through the real-time positioning module. Specifically, this includes:

[0062] When a user clicks on the user terminal application on a mobile device, its main interface is loaded and displayed. This includes an entry point for the trip preference input module, which guides the user to input their travel preferences. Users can type the departure and destination names in the text input boxes, select the desired departure and return dates using the date picker, determine the travel time window, set their desired total travel budget range (including minimum and maximum budgets) using the numeric input boxes, and a voice input interface is provided, allowing users to express special needs by voice, which is then converted into text using voice recognition technology.

[0063] When a user selects "Use current location as departure point" in the trip preference input module, the location module obtains the user's current location information, integrates it with the structured travel demand data obtained from the trip preference input module, encrypts it, and transmits it to the backend intelligent trip planning engine.

[0064] In this embodiment, the intelligent flight matching module is specifically described. This module receives user travel demand parameters from the intelligent itinerary planning engine, including: departure point, destination, departure date, return date, number of passengers, cabin class preference, and budget range. Through interface with the real-time flight data of the multi-source data fusion platform, it sends query requests to the airline provider's API to obtain flight information, including flight number, airline, aircraft type, departure airport, arrival airport, departure time, arrival time, number of transfers, transfer airport, transfer duration, on-time performance, baggage allowance, and refund / change policies. Based on the user-input departure point, destination, date, and number of passengers, it initially filters flights, precisely matches them to the user-specified time window, and filters flights with matching prices based on the user's budget range. Direct flights are prioritized according to user preference. The filtered flights are then comprehensively evaluated and ranked, with scoring dimensions including price score, time efficiency score, user preference score, and on-time performance score. The filtered and ranked flight list is returned to the intelligent itinerary planning engine. The specific formula is as follows: ,in, Indicates price weighting. Indicates time efficiency weight. Indicates user preference weights, This indicates the weighting of on-time performance, and S is the overall flight score. , , , These represent the price score, time efficiency score, user preference score, and punctuality score, respectively.

[0065] In this embodiment, the accommodation recommendation module is specifically described. This module receives preliminary itinerary planning results from the intelligent itinerary planning engine, interfaces with the real-time accommodation data interface of the multi-source data fusion platform, sends query requests to the hotel booking platform's API to obtain hotel information, including hotel name, address, price, star rating, rating, list of hotel facilities, list of services, pictures, user review summaries, and surrounding transportation convenience. Based on the destination, check-in / check-out dates, number of people, and budget range, it initially filters hotels. Based on the daily itinerary activity locations provided by the intelligent itinerary planning engine, it calculates the distance and travel time from the hotel to the activity locations, prioritizing hotels with convenient transportation. It checks room availability and prices for the selected date range to ensure recommended hotels are bookable and within budget. It then comprehensively evaluates and ranks the filtered hotels, using scoring dimensions including price score, location score, user review score, facilities and services score, and brand and reputation score. Finally, it returns the filtered and ranked accommodation list to the intelligent itinerary planning engine.

[0066] In this embodiment, the specific module to be described is the itinerary conflict detection module. This module receives a list of flight and accommodation options from the intelligent itinerary planning engine, and through a real-time data interface with a multi-source data fusion platform, performs itinerary conflict detection and adjustment. It further includes:

[0067] Receive filtered and sorted flight and accommodation options from the flight intelligent matching module and the accommodation linkage recommendation module, and compare them with the user's initial itinerary plan, including flight departure and arrival times, and accommodation check-in and check-out times;

[0068] Match flight and accommodation times to check for time conflicts in the user's itinerary. If the flight arrival time is later than the hotel check-in time or the flight departure time is earlier than the hotel check-out time, a conflict is indicated, and the conflict itinerary is marked as a conflict itinerary and the intelligent itinerary planning engine is notified.

[0069] For trips with multiple segments, based on the departure date, return date, and itinerary for each destination provided by the user, check whether there is sufficient transfer time between each flight to ensure that the user can transfer smoothly and not miss any flights;

[0070] Check the geographical coordination between flights and hotels to ensure that users can travel from the airport to the hotel and complete check-in within a reasonable timeframe;

[0071] If a travel conflict occurs, the system will automatically adjust the itinerary, including adjusting flight times and accommodation arrangements. Once the travel conflict detection module has completed its checks and adjustments, it will return the final travel plan without conflicts to the intelligent travel planning engine and provide the user with suggestions for travel optimization to ensure the smoothness and efficiency of the entire travel plan.

[0072] In this embodiment, the service integration platform needs to be specifically described. This platform simultaneously books airline tickets and hotels and generates electronic vouchers. When a flight is delayed, it automatically triggers the calculation of alternative transportation options and dynamically integrates the itinerary nodes into the map navigation service. Specifically, this includes:

[0073] Receive the final itinerary plan confirmed by the intelligent itinerary planning engine, and automatically complete the booking of air tickets, hotels and other travel services through seamless integration with the airline's GDS interface and the hotel booking platform's API. After successful booking, automatically collect and integrate all booking information to generate unified and standardized electronic air tickets, hotel booking confirmations and attraction ticket QR code electronic vouchers, and push them to the user's account.

[0074] By continuously monitoring real-time updates on flight status, hotel status, and traffic conditions from a multi-source data fusion platform, the platform captures signals that may affect users' travel plans. When a user's booked flight is detected to be delayed to a preset threshold (more than 30 minutes), the service integration platform will immediately trigger the following process:

[0075] Immediately mobilize the computing power of the intelligent trip planning engine, and automatically calculate and recommend alternative transportation options by combining the user's current location, subsequent itinerary, and time budget factors;

[0076] Assess the scope and severity of the impact of this delay on users' subsequent travel plans, including hotel check-in times and attraction opening hours;

[0077] The system dynamically pushes key nodes in the user's trip to the API of mainstream map navigation services, allowing users to directly launch external map navigation applications for any trip node within the trip application, achieving "one-click navigation" to the destination, and obtaining real-time traffic data through map navigation services, which is then fed back to the intelligent trip planning engine for dynamic route optimization.

[0078] When an abnormal situation occurs during the execution of the trip, the following procedure shall be followed:

[0079] S1. The anomaly detection module captures change signals and assesses the scope of impact.

[0080] S2, the service reconfiguration engine automatically optimizes subsequent processes within preset thresholds;

[0081] S3. Push confirmation of the change plan to the user through the graphic interaction module;

[0082] All trip data and user behavior characteristics are stored in the database.

[0083] In this embodiment, the anomaly identification module needs to be specifically described. This module is a sub-module of the service integration platform, responsible for monitoring the process execution status, capturing various anomaly signals, and assessing their impact on the user's process and their urgency. Specifically, it includes:

[0084] Deeply integrated with multi-source data fusion platforms, it receives and parses updates from the following external data sources in real time, including aviation data providers, hotel booking platforms, transportation information service providers, meteorological services, and emergency warnings;

[0085] This calculation determines the direct and indirect delays caused by abnormal events to various points in a user's itinerary, including expected arrival times for flights, hotel check-ins, and attraction visits. It also predicts additional costs incurred due to the abnormality, including rebooking fees, ticket refunds, additional accommodation costs, and emergency transportation fees. The specific formula is as follows: ,in, It is a comprehensive impact score, representing the overall impact of the abnormal event on the user's trip. and These are weighting coefficients that reflect the relative importance of delay duration and cost to users' travel. It is the delay duration of the i-th node. is the weight of the i-th node, and n is the number of nodes affected. The fee is incurred due to flight rescheduling. The losses incurred due to flight and hotel cancellations and resulting ticket refunds The additional accommodation costs are due to changes in the itinerary. These are emergency transportation costs incurred in response to emergencies.

[0086] The computer device can be a terminal, comprising a processor, memory, communication interface, display screen, and input devices connected via a system bus. The processor provides computing and control capabilities. The memory includes non-volatile storage media and internal memory. The non-volatile storage media stores the operating system and computer programs. The internal memory provides an environment for the operation of the operating system and computer programs stored in the non-volatile storage media. The communication interface is used for wired or wireless communication with external terminals; wireless communication can be achieved through Wi-Fi, carrier networks, NFC (Near Field Communication), or other technologies. The display screen can be an LCD screen or an e-ink screen. The input devices can be a touch layer covering the display screen, buttons, a trackball, or a touchpad on the computer device's casing, or an external keyboard, touchpad, or mouse.

[0087] This embodiment also provides a storage medium storing a computer program. When executed by a processor, the program implements the functional modules of a travel planning and service customization system as proposed in the above embodiments. 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 Red-Only Memory (PROM), Read-Only Memory (ROM), magnetic storage, flash memory, magnetic disk, or optical disk.

[0088] The foregoing has only described certain exemplary embodiments of the present invention by way of illustration. Undoubtedly, those skilled in the art can modify the described embodiments in various ways without departing from the spirit and scope of the present invention. Therefore, the foregoing drawings and descriptions are illustrative in nature and should not be construed as limiting the scope of protection of the claims of the present invention.

Claims

1. A travel planning and service customization system, characterized in that: It includes a user terminal module, an intelligent trip planning engine, and a service integration platform. The user terminal module is connected to the intelligent trip planning engine and service integration platform via the Internet. A user demand collection terminal and a multi-source data fusion platform are constructed. The user demand collection terminal includes a travel preference input module, a real-time location module, and a graphic interaction module. The multi-source data fusion platform includes a flight dynamics database, a hotel resource pool, and a scenic spot ticket API. The user terminal module obtains the user's travel needs through the trip preference input module, including departure point, destination, time window, budget range and special needs, and obtains the user's current location through the real-time positioning module; The intelligent itinerary planning engine calls real-time data from a multi-source data fusion platform and combines it with a flight intelligent matching module, an accommodation linkage recommendation module, and an itinerary conflict detection module to generate dynamic solutions. The service integration platform simultaneously books air tickets and hotels and generates electronic vouchers. When a flight is delayed, it automatically triggers the calculation of alternative transportation options and dynamically integrates the itinerary nodes into the map navigation service. When an abnormal situation occurs during the execution of the trip, the following procedure should be followed: S1. The anomaly detection module captures change signals and assesses the scope of impact. S2, the service reconfiguration engine automatically optimizes subsequent processes within preset thresholds; S3. Push confirmation of the change plan to the user through the graphic interaction module; All trip data and user behavior characteristics are stored in the database.

2. The travel planning and service customization system according to claim 1, characterized in that: The user terminal module obtains the user's travel needs through the trip preference input module, including departure point, destination, time window, budget range, and special requirements, and obtains the user's current location through the real-time positioning module, specifically including: When a user clicks on the user terminal application on a mobile device, its main interface is loaded and displayed. This includes an entry point for the trip preference input module, which guides the user to input their travel preferences. Users can type the departure and destination names in the text input boxes, select the desired departure and return dates using the date picker, determine the travel time window, set their desired total travel budget range (including minimum and maximum budgets) using the numeric input boxes, and a voice input interface is provided, allowing users to express special needs by voice, which is then converted into text using voice recognition technology. When a user selects "Use current location as departure point" in the trip preference input module, the location module obtains the user's current location information, integrates it with the structured travel demand data obtained from the trip preference input module, encrypts it, and transmits it to the backend intelligent trip planning engine.

3. The travel planning and service customization system according to claim 1, characterized in that: The intelligent flight matching module receives user travel demand parameters from the intelligent itinerary planning engine, interfaces with the real-time flight data interface of the multi-source data fusion platform, sends query requests to the airline provider's API to obtain flight information, and initially filters flights based on the user's input departure point, destination, date, and number of passengers. It then precisely matches flights within the user-specified time window, filters flights with suitable prices based on the user's budget range, prioritizes direct flights according to user preferences, and comprehensively evaluates and ranks the filtered flights. The scoring dimensions include price score, time efficiency score, user preference score, and punctuality score. The filtered and ranked flight options are then returned to the intelligent itinerary planning engine. The specific formula is as follows: ,in, Indicates price weighting. Indicates time efficiency weight. Indicates user preference weights, This indicates the weighting of on-time performance, and S is the overall flight score. , , , These represent the price score, time efficiency score, user preference score, and punctuality score, respectively.

4. The travel planning and service customization system according to claim 1, characterized in that: The accommodation recommendation module receives preliminary itinerary planning results from the intelligent itinerary planning engine, connects with the real-time accommodation data interface of the multi-source data fusion platform, sends query requests to the hotel booking platform's API to obtain hotel information, calculates the distance and travel time from the hotel to the activity location based on the daily itinerary activity locations provided by the intelligent itinerary planning engine, prioritizes recommending hotels with convenient transportation, checks room availability and prices for the selected date range, and comprehensively evaluates and ranks the filtered hotels. The scoring dimensions include price score, location score, user review score, facilities and service score, and brand and reputation score. The filtered and ranked accommodation options are then returned to the intelligent itinerary planning engine.

5. The travel planning and service customization system according to claim 1, characterized in that: The itinerary conflict detection module receives a list of flight and accommodation options from the intelligent itinerary planning engine, and performs itinerary conflict detection and adjustment through a real-time data interface with a multi-source data fusion platform. This further includes: Receive filtered and sorted flight and accommodation options from the flight intelligent matching module and the accommodation linkage recommendation module, and compare them with the user's initial itinerary plan, including flight departure and arrival times, and accommodation check-in and check-out times; Match flight and accommodation times, check for time conflicts in the user's itinerary. If the flight arrival time is later than the hotel check-in time or the flight departure time is earlier than the hotel check-out time, it indicates a conflict, is marked as a conflict itinerary, and the intelligent itinerary planning engine is notified. For trips with multiple segments, check whether the layover time between each flight is sufficient, based on the departure date, return date, and itinerary provided by the user for each destination. Check the geographical coordination between flights and hotels to ensure that users can travel from the airport to the hotel and complete check-in within a reasonable timeframe; If a travel conflict occurs, the system will automatically adjust the itinerary, including adjusting flight times and accommodations. Once the travel conflict detection module has completed its checks and adjustments, it will return the final travel plan without conflicts to the intelligent travel planning engine and provide the user with suggestions for travel optimization.

6. The travel planning and service customization system according to claim 1, characterized in that: The service integration platform simultaneously books air tickets and hotels and generates electronic vouchers. When flights are delayed, it automatically triggers the calculation of alternative transportation options and dynamically integrates the itinerary nodes into the map navigation service, specifically including: Receive the final itinerary plan confirmed by the intelligent itinerary planning engine, and automatically complete the booking of air tickets, hotels and other travel services through seamless integration with the airline's GDS interface and the hotel booking platform's API. After successful booking, automatically collect and integrate all booking information, generate unified electronic air tickets, hotel booking confirmations and attraction ticket QR code electronic vouchers, and push them to the user's account. By continuously monitoring real-time updates on flight status, hotel status, and traffic conditions from a multi-source data fusion platform, the platform captures signals that may affect users' travel plans. When a user's booked flight is detected to be delayed to a preset threshold (more than 30 minutes), the service integration platform triggers the following process: Immediately mobilize the computing power of the intelligent trip planning engine, and automatically calculate and recommend alternative transportation options by combining the user's current location, subsequent itinerary, and time budget factors; Assess the scope and severity of the impact of this delay on users' subsequent travel plans, including hotel check-in times and attraction opening hours; The system dynamically pushes key nodes in the user's journey to the API of mainstream map navigation services. For any node in the journey, the system can directly launch an external map navigation application to achieve "one-click navigation" to the destination. It also obtains real-time traffic data through map navigation services and feeds it back to the intelligent journey planning engine for dynamic route optimization.

7. The travel planning and service customization system according to claim 1, characterized in that: The anomaly detection module is a sub-module of the service integration platform. It is responsible for monitoring the execution status of the trip, capturing various anomaly signals, and assessing their impact on the user's trip and their urgency. Specifically, it includes: Deeply integrated with multi-source data fusion platforms, it receives and parses updates from the following external data sources in real time, including aviation data providers, hotel booking platforms, transportation information service providers, meteorological services, and emergency warnings; This calculation determines the direct and indirect delays caused by abnormal events to various points in a user's itinerary, including expected arrival times for flights, hotel check-ins, and attraction visits. It also predicts additional costs incurred due to the abnormality, including rebooking fees, ticket refunds, additional accommodation costs, and emergency transportation fees. The specific formula is as follows: ,in, It is a comprehensive impact score. and These are weighting coefficients. It is the delay duration of the i-th node. is the weight of the i-th node, and n is the number of nodes affected. The fee is incurred due to flight rescheduling. The losses incurred due to flight and hotel cancellations and resulting ticket refunds The additional accommodation costs are due to changes in the itinerary. These are emergency transportation costs incurred in response to emergencies.

8. A computer device comprising a memory and a processor, wherein the memory stores a computer program, characterized in that: When the processor executes the computer program, it implements the functional modules of the travel planning and service customization system according to any one of claims 1 to 7.

9. 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 functional modules of the travel planning and service customization system according to any one of claims 1 to 7.

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