Flight data change publishing system and method

Abstract

The invention relates to the technical field of aviation information, in particular to a flight data change publishing system and method, and the system comprises a flight state monitoring module, a network modeling and analysis module, a flight influence prediction module, an optimization scheduling decision module, a scheduling execution and state updating module, and an information publishing and updating module. According to the method, the state change of the flights and the airport is monitored in real time, passengers and airport operators are ensured to obtain real-time flight information, key nodes and influence chains in an aviation network are identified by analyzing the mutual influence relationship among the flights and constructing an interaction relationship graph among the flights, and flight faults and changes are predicted and coped with. According to the method, system analysis is carried out on the influence of flight change, the flexibility and efficiency of flight scheduling are optimized, inconvenience to passengers and operation chaos caused by inaccurate information and untimely updating are reduced, and the experience and satisfaction degree of the passengers are enhanced by updating an airport information system and navigation facilities and pushing real-time updating to the passengers.

Description

Technical Field

[0001] The present invention relates to the field of aviation information technology, and in particular to a flight data change publishing system and method. Background Art

[0002] The field of aviation information technology includes systems and methods for processing and publishing aviation-related data, supporting the flow of information between airlines, airports and passengers, and improving the ability to respond to rapidly changing flight information and emergencies through flight tracking, passenger information management, ticketing systems, flight scheduling and management, combined with real-time data processing and timely release, thereby improving aviation safety and operational flexibility and enhancing the overall travel experience of passengers.

[0003] Among them, the flight data change release system is a system used to track and release flight status changes, including flight delays, cancellations or time adjustments, to ensure that passengers, airlines and airport operators can instantly receive the latest information about flight status changes. By accurately and quickly releasing flight status changes, it improves the efficiency of flight management and passengers' travel experience, reduces confusion and inconvenience caused by information delays or errors, and improves the overall efficiency of airport operations.

[0004] Traditional flight data publishing systems fail to reflect the dependencies and real-time status of flights in real time, resulting in passengers and airlines having difficulty obtaining updated information in a timely manner when flights are delayed or canceled, causing confusion and unnecessary waiting for passengers when transferring. Traditional flight data publishing systems find it difficult to analyze the impact relationships between flights, making it difficult for dispatchers to make quick data-based decisions, affecting the optimization of flight scheduling, increasing operating costs, and affecting the airport's reputation and passenger satisfaction. Summary of the invention

[0005] The purpose of the present invention is to solve the shortcomings of the prior art and to propose a flight data change publishing system and method.

[0006] In order to achieve the above object, the present invention adopts the following technical solution, a flight data change publishing system includes:

[0007] The flight status monitoring module monitors flight and airport change information based on real-time flight information, records status updates of code-sharing flights and connecting flights, and obtains flight information monitoring records;

[0008] The network modeling and analysis module uses the flight information monitoring records to analyze the mutual influence relationship between multiple flights, construct an interactive relationship diagram between flights, and obtain a key flight network diagram;

[0009] The flight impact prediction module analyzes the structural characteristics of the flight network based on the key flight network diagram, identifies the impact paths caused by flight failures and changes, and generates flight change impact analysis results;

[0010] The optimization scheduling decision module adopts the flight change impact analysis results to adjust the scheduling plan of the affected flights, update the flight operation management system information, and establish a flight scheduling adjustment plan;

[0011] The scheduling execution and status update module adjusts the security check queue and passenger waiting seat arrangement in the area around the boarding gate based on the flight scheduling adjustment plan, updates the airport's internal navigation system, and generates a ground service process update record;

[0012] The information publishing and updating module updates the records based on the ground service process, updates the airport information display board and the airport official website information, pushes flight change information to passengers, and generates flight change notification information.

[0013] As a further solution of the present invention, the flight information monitoring record includes the real-time location of the flight, the flight delay status, and the flight cancellation information; the key flight network diagram is specifically a dependency intensity diagram between flights, a key node strength distribution diagram, and a flight cluster coefficient distribution diagram; the flight change impact analysis results include impact range assessment, key flight identification, and fault propagation path analysis; the flight scheduling adjustment plan includes scheduling priority adjustment, scheduling schedule of affected flights, and current passenger service plan; the ground service process update record is specifically security check queue arrangement information, passenger waiting area seat adjustment plan, and internal navigation system update information; the flight change notification information includes boarding information update information, delay status update information, and service change notification information.

[0014] As a further solution of the present invention, the flight status monitoring module includes:

[0015] The flight information collection submodule monitors the real-time dynamics of flights based on real-time flight information, including flight take-off and landing times, location changes, and status update information, and generates aviation monitoring data;

[0016] The change information monitoring submodule monitors and records the status changes of code-sharing flights and connecting flights based on the aviation monitoring data, analyzes the triggering reasons of flight change events, and generates flight event change records;

[0017] The flight status record submodule analyzes flight dynamics and status updates based on the flight event change records, including dynamic changes of airlines, aircraft models, check-in islands, counters, boarding gates, and aircraft stands, and obtains flight information monitoring records.

[0018] As a further solution of the present invention, the network modeling and analysis module includes:

[0019] The flight feature identification submodule analyzes the key features of multiple flights based on the flight information monitoring records, including flight frequency, delay history, and route importance, identifies key flights that affect the flight network in multiple time periods, and generates flight dependency analysis results;

[0020] The network relationship construction submodule uses the PageRank algorithm based on the flight dependency analysis results to analyze the interdependence and interaction between flights, identify the flight impact chain and key contact points, and generate flight interaction relationship mapping results;

[0021] The PageRank algorithm is based on the formula:

[0022]

[0023] Calculate the importance level of the target flight to the aviation network, where PR(p i ) is the node p i The PageRank value of d is the damping coefficient, N is the total number of nodes in the network, M(p i ) points to p i The set of nodes, L(p j ) is the node p j Number of direct flights departing, f ij is the flight frequency factor from flight i to flight j, t ij is the time sensitivity factor of flight i to j, s ij is the seat capacity factor for flights i to j.

[0024] The aviation network construction submodule constructs an interaction relationship diagram between flights based on the flight interaction relationship mapping results, identifies key airports and routes that affect the operation of the flight network, and obtains a key flight network diagram.

[0025] As a further solution of the present invention, the flight impact prediction module includes:

[0026] The flight network structure analysis submodule analyzes the nodes in the network based on the key flight network diagram, identifies the node connectivity and network density, and analyzes the impact on the stability and sensitivity of the flight network, and generates structural characteristic analysis results;

[0027] The aviation network path identification submodule simulates the fault propagation path in the flight network based on the structural characteristic analysis results, identifies the flight paths that affect the flight network operation efficiency, and generates fault path analysis results;

[0028] The aviation fault impact assessment submodule analyzes the impact of flight delays and cancellations on the flight network based on the fault path analysis results, identifies the impact of flight changes on the operating efficiency and service quality of adjacent nodes, and obtains flight change impact analysis results.

[0029] As a further solution of the present invention, the optimization scheduling decision module includes:

[0030] The flight scheduling analysis submodule prioritizes and analyzes the scheduling needs of the affected flights based on the flight change impact analysis results, identifies flight scheduling priorities, formulates processing strategies and action plans, and generates scheduling priority analysis results;

[0031] The operation information update submodule updates the information of the affected flights in the flight operation management system based on the scheduling priority analysis result, including the estimated arrival time, gate adjustment information and delay notification, and generates a flight information adjustment result;

[0032] The scheduling scheme optimization submodule adjusts the operation schedule and boarding gate allocation plan of the affected flights based on the flight information adjustment result, optimizes the operation efficiency of the flights, and obtains a flight scheduling adjustment plan.

[0033] As a further solution of the present invention, the scheduling execution and status update module includes:

[0034] The security check queue adjustment submodule predicts flight schedule changes and passenger flow information based on the flight scheduling adjustment plan, adjusts the queue layout of the airport security check area, optimizes queue flow and waiting time, and generates a security check process optimization plan;

[0035] The waiting seat adjustment submodule adjusts the layout of the waiting area seats and the passenger waiting area based on the security check process optimization plan, combined with the boarding gate allocation plan and the flight schedule, including adding or adjusting the seat area, optimizing the comfort and convenience of passengers while waiting to board the plane, and generating a passenger seat optimization plan;

[0036] The navigation system update submodule updates the airport's internal navigation system based on the passenger seat optimization solution, including boarding gate information, waiting area indications, and critical path guidance, optimizes passengers' navigation experience at the airport, and generates ground service process update records.

[0037] As a further solution of the present invention, the information publishing and updating module includes:

[0038] The display information update submodule updates the information display board in the airport based on the ground service process update record, including the adjusted flight time, boarding gate information, and emergency notification information, and generates a display board update log;

[0039] The website information update submodule updates the flight information on the official airport website based on the display board update log, including flight status updates, boarding gate changes, and expected delay information, and obtains flight web page information;

[0040] The passenger notification push submodule generates flight change notification information based on the flight web page information and using the communication system, including SMS service and email, to push real-time notifications of flight changes to passengers, including flight delays, flight cancellations, gate changes and weather warning information.

[0041] A flight data change publishing method, the flight data change publishing method is executed based on the flight data change publishing system, and comprises the following steps:

[0042] S1: Based on real-time flight information, collect real-time flight status and airport operation changes, record status updates of code-sharing flights and connecting flights, and generate real-time flight monitoring records;

[0043] S2: Based on the real-time flight monitoring records, analyzing the mutual influence and dependency between flights, constructing a flight interaction relationship network, and generating a flight interaction network model;

[0044] S3: Based on the flight interaction network model, by analyzing the key paths and sensitive points in the network, identifying the key flight nodes and the paths of fault diffusion, and generating flight network fault analysis results;

[0045] S4: Based on the flight network failure analysis results, design a flight scheduling optimization strategy, adjust the schedule and resource allocation of the affected flights, update the flight operation management system information, and generate a flight optimization scheduling plan;

[0046] S5: Based on the flight optimization scheduling plan, adjust the airport ground service process, update the information display board and the airport official website information, push flight change information to passengers and airport staff, and generate flight change notification information.

[0047] Compared with the prior art, the advantages and positive effects of the present invention are:

[0048] In the present invention, by real-time monitoring of flight and airport status changes, it is ensured that passengers and airport operators obtain the latest flight information. By analyzing the mutual influence relationship between multiple flights and constructing an interactive relationship diagram between flights, key nodes and influence chains are identified, flight failures and changes are predicted and responded to. By systematically analyzing the impact of flight changes, the flexibility and efficiency of flight scheduling are improved, and the inconvenience to passengers and operational confusion caused by inaccurate information and untimely updates are reduced. By updating the airport information system and navigation facilities and pushing real-time updates to passengers, the passenger experience and satisfaction are enhanced. BRIEF DESCRIPTION OF THE DRAWINGS

[0049] Figure 1 is a system flow chart of the present invention;

[0050] Figure 2 It is a schematic diagram of the system framework of the present invention;

[0051] Figure 3 This is a flow chart of the flight status monitoring module of the present invention;

[0052] Figure 4 It is a flow chart of the network modeling and analysis module of the present invention;

[0053] Figure 5 This is a flow chart of the flight impact prediction module of the present invention;

[0054] Figure 6 This is a flow chart of the optimization scheduling decision module of the present invention;

[0055] Figure 7 It is a flow chart of the scheduling execution and status update module of the present invention;

[0056] Figure 8 This is a flow chart of the information publishing and updating module of the present invention;

[0057] Fig. 9 It is a schematic diagram of the method steps of the present invention. DETAILED DESCRIPTION

[0058] In order to make the purpose, technical solution and advantages of the present invention more clearly understood, the present invention is further described in detail below in conjunction with the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are only used to explain the present invention and are not intended to limit the present invention.

[0059] In the description of the present invention, it should be understood that the terms "length", "width", "up", "down", "front", "back", "left", "right", "vertical", "horizontal", "top", "bottom", "inside", "outside" and the like indicate positions or positional relationships based on the positions or positional relationships shown in the drawings, and are only for the convenience of describing the present invention and simplifying the description, rather than indicating or implying that the device or element referred to must have a specific orientation, be constructed and operated in a specific orientation, and therefore cannot be understood as limiting the present invention. In addition, in the description of the present invention, "multiple" means two or more, unless otherwise clearly and specifically defined.

[0060] Embodiment 1

[0061] See also Figure 1 to Figure 2 The present invention provides a technical solution, a flight data change publishing system comprising:

[0062] The flight status monitoring module monitors flight and airport change information based on real-time flight information, records status updates of code-sharing flights and connecting flights, and obtains flight information monitoring records;

[0063] The network modeling and analysis module uses flight information monitoring records to analyze the mutual influence relationship between multiple flights, construct an interactive relationship diagram between flights, and obtain a key flight network diagram;

[0064] The flight impact prediction module analyzes the structural characteristics of the flight network based on the key flight network diagram, identifies the impact paths caused by flight failures and changes, and generates flight change impact analysis results;

[0065] The optimization scheduling decision module uses the flight change impact analysis results to adjust the scheduling plan of the affected flights, update the flight operation management system information, and establish a flight scheduling adjustment plan;

[0066] The scheduling execution and status update module adjusts the security check queues and passenger waiting seat arrangements in the area around the boarding gate based on the flight scheduling adjustment plan, updates the airport's internal navigation system, and generates ground service process update records;

[0067] The information release and update module updates records based on ground service processes, updates airport information display boards and airport official website information, pushes flight change information to passengers, and generates flight change notification information.

[0068] Flight information monitoring records include real-time flight locations, flight delay status, and flight cancellation information. Key flight network diagrams include dependency intensity diagrams between flights, key node strength distribution diagrams, and flight cluster coefficient distribution diagrams. Flight change impact analysis results include impact range assessments, key flight identification, and fault propagation path analysis. Flight scheduling adjustment plans include scheduling priority adjustments, scheduling schedules for affected flights, and current passenger service plans. Ground service process update records include security check queue layout information, passenger waiting area seat adjustment plans, and internal navigation system update information. Flight change notification information includes boarding information updates, delay status updates, and service change notification information.

[0069] See also Figure 2 and Figure 3 , the flight status monitoring module includes:

[0070] The flight information collection submodule monitors the real-time dynamics of flights based on real-time flight information, including flight take-off and landing times, location changes, and status update information. The specific process of generating aviation monitoring data is as follows;

[0071] The flight information collection submodule is based on real-time flight information and monitors the real-time dynamics of flights, including flight take-off and landing times, location changes, and status update information. It collects location data through the GPS positioning system, uses message queue technology for real-time data transmission, and stores data through the SQL database command INSERT INTO to generate aviation monitoring data.

[0072] The change information monitoring submodule monitors and records the status changes of code-sharing flights and connecting flights based on aviation monitoring data, analyzes the triggering reasons of flight change events, and generates the specific process of flight event change records as follows;

[0073] The change information monitoring submodule monitors and records the status changes of code-sharing flights and connecting flights based on aviation monitoring data, uses regular expressions to match status update information, performs change detection through conditional judgment statements, and stores change records through the DataFrame.to_csv method of the Python pandas library to generate flight event change records.

[0074] The flight status record submodule analyzes flight dynamics and status updates based on flight event change records, including dynamic changes of airlines, aircraft types, check-in islands, counters, boarding gates, and aircraft stands. The specific process of obtaining flight information monitoring records is as follows;

[0075] The flight status record submodule analyzes flight dynamics and status updates based on flight event change records, including dynamic changes of airlines, aircraft models, check-in islands, counters, boarding gates, and aircraft stands. It uses a sorting algorithm to sort the information, traverses flight data through a loop structure, uses the matplotlib library to draw a flight dynamic change graph, and generates flight information monitoring records.

[0076] See also Figure 2 and Figure 4 , the network modeling and analysis modules include:

[0077] The flight feature identification submodule analyzes the key features of multiple flights based on flight information monitoring records, including flight frequency, delay history, and route importance, identifies key flights that affect the flight network in multiple time periods, and generates the specific process of flight dependency analysis results as follows;

[0078] The flight feature identification submodule analyzes the key features of multiple flights based on flight information monitoring records, including flight frequency, delay history, and route importance. It uses the machine learning method k-means clustering to analyze flight data, sets the cluster number parameter to k, and performs clustering operations through the sklearn library to generate flight dependency analysis results.

[0079] The network relationship construction submodule uses the PageRank algorithm based on the flight dependency analysis results to analyze the interdependence and interaction between flights, identify the flight impact chain and key contact points, and generate the specific process of flight interaction relationship mapping results as follows;

[0080] The network relationship construction submodule analyzes the interdependence and interaction between flights based on the flight dependency analysis results, calculates the shortest path using the Dijkstra algorithm, builds a network graph through the NetworkX library, sets node and edge attributes, and generates flight interaction relationship mapping results.

[0081] PageRank algorithm, according to the formula:

[0082]

[0083] Calculate the importance level of the target flight to the aviation network, where PR(p i ) is the node p i The PageRank value represents the relative importance of the target flight or airport in the entire network. d is the damping coefficient, which is usually set to 0.85, indicating that in the random browsing model, there is an 85% probability of continuing to browse by following the link and a 15% probability of randomly jumping to a page. N is the total number of nodes in the network, that is, the total number of flights or airports, which is used to normalize the initial PageRank contribution. M(p i ) points to node p i The set of flight nodes and airport nodes, that is, all direct flights to p i Flight or airport, L(p j ) is the node p j The number of direct flights departing, used to adjust p j P i The influence of ij is the flight frequency factor from flight i to flight j, denoted by p i to p j The regular flight frequency, high frequency indicates a strong connection between two nodes, t ij is the time sensitivity factor of flight i to j, calculated based on the proximity of flight times. The closer the time, the larger the factor. ij is the seat capacity factor of flights i to j, reflecting the impact of flight size. The more seats there are, the larger the factor.

[0084] The execution process of the improved formula is as follows:

[0085] Initialize a PageRank value PR (p i ), collect the flight frequency f between nodes ij , the time proximity of flights t ij, the number of seats on the flight ij ,The PageRank value of each node is iteratively calculated. After multiple iterations, the PageRank values ​​of all nodes are normalized and ensured that the sum is 1. The relative importance of the nodes in the network is evaluated, making the results more in line with the actual flight network dynamics.

[0086] The aviation network construction submodule builds the interactive relationship diagram between flights based on the flight interactive relationship mapping results, identifies the key airports and routes that affect the flight network operation, and obtains the specific process of the key flight network diagram as follows;

[0087] The aviation network construction submodule builds an interaction diagram between flights based on the flight interaction relationship mapping results, identifies key airports and routes that affect flight network operations, uses the network analysis algorithm Centrality to calculate the centrality of nodes, and uses Gephi software to visualize the network to generate a key flight network diagram.

[0088] See also Figure 2 and Figure 5 , the flight impact prediction module includes:

[0089] The flight network structure analysis submodule analyzes the nodes in the network based on the key flight network diagram, identifies the node connectivity and network density, and analyzes the impact on the stability and sensitivity of the flight network. The specific process of generating the structural characteristics analysis results is as follows;

[0090] The flight network structure analysis submodule analyzes the nodes in the network based on the key flight network graph, calculates the node connectivity using the connected component algorithm in graph theory, calculates the overall network density using the network density formula, implements the algorithm through the Python network analysis library NetworkX, performs network stability and sensitivity analysis, and generates structural characteristic analysis results.

[0091] The aviation network path identification submodule simulates the fault propagation path in the flight network based on the structural characteristics analysis results, identifies the flight paths that affect the flight network operation efficiency, and generates the specific process of fault path analysis results as follows;

[0092] The aviation network path identification submodule simulates the fault propagation path in the flight network based on the structural characteristics analysis results, uses the Monte Carlo method to simulate random fault events, performs path simulation through C++ programming, sets random seeds and simulation times parameters to calculate the fault propagation path, and generates fault path analysis results.

[0093] The aviation fault impact assessment submodule analyzes the impact of flight delays and cancellations on the flight network based on the fault path analysis results, identifies the impact of flight changes on the operating efficiency and service quality of adjacent nodes, and obtains the specific process of flight change impact analysis results as follows;

[0094] The aviation fault impact assessment submodule analyzes the impact of flight delays and cancellations on the flight network based on the fault path analysis results, uses a linear regression model to evaluate the impact of delays on the operating efficiency of adjacent nodes, implements linear regression using R language, sets independent and dependent variables, conducts flight change impact analysis, and generates flight change impact analysis results.

[0095] See also Figure 2 and Figure 6 ,The optimization scheduling decision module includes:

[0096] The flight scheduling analysis submodule prioritizes and analyzes the scheduling needs of the affected flights based on the flight change impact analysis results, identifies flight scheduling priorities and formulates processing strategies and action plans. The specific process of generating scheduling priority analysis results is as follows;

[0097] The flight scheduling analysis submodule prioritizes and analyzes the scheduling needs of affected flights based on the flight change impact analysis results, uses the priority queue algorithm to sort flight priorities, implements priority queue sorting through Java programming, sets priority parameters and sorting rules, formulates processing strategies and action plans, and generates scheduling priority analysis results.

[0098] The operation information update submodule updates the information of the affected flights in the flight operation management system based on the scheduling priority analysis results, including the estimated arrival time, gate adjustment information and delay notification. The specific process of generating flight information adjustment results is as follows;

[0099] The operation information update submodule updates the information of affected flights in the flight operation management system based on the scheduling priority analysis results, uses the SQL command UPDATE to update flight information, executes SQL updates through the database management system, sets flight numbers and update fields, adjusts flight information, and generates flight information adjustment results.

[0100] The scheduling optimization submodule adjusts the operation schedule and gate allocation plan of the affected flights based on the flight information adjustment results, optimizes the flight operation efficiency, and obtains the specific process of the flight scheduling adjustment plan as follows;

[0101] The scheduling optimization submodule adjusts the operation schedule and gate allocation plan of the affected flights based on the flight information adjustment results, uses genetic algorithms to optimize the flight operation schedule, and combines the Python library DEAP to set the population size, crossover rate and mutation rate parameters to adjust the operation schedule and gates, and generate a flight scheduling adjustment plan.

[0102] See also Figure 2 and Figure 7 , the scheduling execution and status update modules include:

[0103] The security check queue adjustment submodule predicts flight schedule changes and passenger flow information based on the flight scheduling adjustment plan, adjusts the queue layout of the airport security check area, optimizes queue flow and waiting time, and generates the security check process optimization plan. The specific process is as follows;

[0104] The security queue adjustment submodule predicts flight schedule changes and passenger flow information based on the flight scheduling adjustment plan, uses the queuing theory model to analyze queue fluidity, uses MATLAB for simulation calculations, sets the number of service desks and arrival rate parameters, adjusts the queue layout of the airport security area, and generates a security process optimization plan.

[0105] The waiting seat adjustment submodule adjusts the layout of the waiting area seats and passenger waiting area based on the security check process optimization plan, combined with the boarding gate allocation plan and the flight schedule, including adding or adjusting the seating area to optimize the comfort and convenience of passengers while waiting to board. The specific process of generating the passenger seat optimization plan is as follows;

[0106] The waiting seat adjustment submodule is based on the security check process optimization plan, combined with the boarding gate allocation plan and flight schedule, and uses the space planning algorithm to optimize the waiting area seat layout. The seats are configured through AutoCAD software, the seat spacing and aisle width parameters are set, the layout of the waiting area seats and the passenger waiting area is adjusted, and the passenger seat optimization plan is generated.

[0107] The navigation system update submodule updates the airport's internal navigation system based on the passenger seat optimization plan, including boarding gate information, waiting area instructions, and key path guidance, to optimize passengers' navigation experience at the airport. The specific process of generating ground service process update records is as follows;

[0108] The navigation system update submodule updates the airport's internal navigation system based on the passenger seat optimization plan, uses the content management system CMS to update boarding gate information and waiting area instructions, implements content updates through HTML coding, sets labels and link parameters, optimizes the airport navigation system to guide passengers, and generates ground service process update records.

[0109] See also Figure 2 and Figure 8 , the information release and update modules include:

[0110] The display information update submodule updates the information display board in the airport based on the ground service process update record, including the adjusted flight time, boarding gate information, and emergency notification information. The specific process of generating the display board update log is as follows;

[0111] The display information update submodule updates the records based on the ground service process, updates the information display board in the airport, uses the dynamic information display system to update the flight time and boarding gate information, sends update instructions through the network control protocol TCP / IP, sets the information board IP address and port, updates the emergency notification information, and generates the display board update log.

[0112] The website information update submodule updates the flight information on the airport official website based on the display board update log, including flight status updates, boarding gate changes, and expected delay information. The specific process of obtaining flight web page information is as follows;

[0113] The website information update submodule updates the flight information on the official airport website based on the display board update log, uses the web editing tool WordPress to update the information, customizes the page layout through the CSS style sheet, sets the flight status, gate changes and expected delay information, updates the official airport website, and generates flight web page information.

[0114] The passenger notification push submodule pushes real-time notifications of flight changes to passengers based on flight web page information, using communication systems, including SMS services and emails, including flight delays, flight cancellations, gate changes, and weather warning information. The specific process of generating flight change notification information is as follows;

[0115] The passenger notification push submodule is based on flight web page information and uses communication systems, including SMS services and emails, to send notifications using a batch messaging platform. It pushes messages through API calls, sets message content and sending time, pushes real-time notifications of flight changes to passengers, and generates flight change notification information.

[0116] See also Fig. 9 A flight data change publishing method is provided, and the flight data change publishing method is executed based on the flight data change publishing system, and comprises the following steps:

[0117] S1: Based on real-time flight information, collect real-time flight status and airport operation changes, record status updates of code-sharing flights and connecting flights, and generate real-time flight monitoring records;

[0118] S2: Based on real-time flight monitoring records, analyze the mutual influence and dependency between flights, build a flight interaction network, and generate a flight interaction network model;

[0119] S3: Based on the flight interaction network model, by analyzing the key paths and sensitive points in the network, identifying key flight nodes and fault diffusion paths, and generating flight network fault analysis results;

[0120] S4: Based on the flight network failure analysis results, design flight scheduling optimization strategies, adjust the schedules and resource allocations of affected flights, update the flight operation management system information, and generate flight optimization scheduling plans;

[0121] S5: Based on the flight optimization scheduling plan, adjust the airport ground service process, update the information display board and the airport official website information, push flight change information to passengers and airport staff, and generate flight change notification information.

[0122] The above are only preferred embodiments of the present invention and are not intended to limit the present invention in other forms. Any technician familiar with the profession may use the technical contents disclosed above to change or modify them into equivalent embodiments with equivalent changes and apply them to other fields. However, any simple modification, equivalent change and modification made to the above embodiments based on the technical essence of the present invention without departing from the technical solution of the present invention still falls within the protection scope of the technical solution of the present invention.

Claims

1. A flight data change publishing system, characterized in that: The system comprises: The flight status monitoring module monitors flight and airport change information based on real-time flight information, records status updates of code-sharing flights and connecting flights, and obtains flight information monitoring records; The network modeling and analysis module uses the flight information monitoring records to analyze the mutual influence relationship between multiple flights, construct an interactive relationship diagram between flights, and obtain a key flight network diagram; The flight impact prediction module analyzes the structural characteristics of the flight network based on the key flight network diagram, identifies the impact paths caused by flight failures and changes, and generates flight change impact analysis results; The optimization scheduling decision module adopts the flight change impact analysis results to adjust the scheduling plan of the affected flights, update the flight operation management system information, and establish a flight scheduling adjustment plan; The scheduling execution and status update module adjusts the security check queue and passenger waiting seat arrangement in the area around the boarding gate based on the flight scheduling adjustment plan, updates the airport's internal navigation system, and generates a ground service process update record; The information publishing and updating module updates the records based on the ground service process, updates the airport information display board and the airport official website information, pushes flight change information to passengers, and generates flight change notification information.

2. The flight data change publishing system according to claim 1, characterized in that: The flight information monitoring record includes the real-time location of the flight, the flight delay status, and the flight cancellation information. The key flight network diagram specifically includes the dependency intensity diagram between flights, the key node strength distribution diagram, and the flight cluster coefficient distribution diagram. The flight change impact analysis results include impact range assessment, key flight identification, and fault propagation path analysis. The flight scheduling adjustment plan includes scheduling priority adjustment, scheduling timetable of affected flights, and current passenger service plan. The ground service process update record specifically includes security check queue arrangement information, passenger waiting area seat adjustment plan, and internal navigation system update information. The flight change notification information includes boarding information update information, delay status update information, and service change notification information.

3. The flight data change publishing system according to claim 1, characterized in that: The flight status monitoring module includes: The flight information collection submodule monitors the real-time dynamics of flights based on real-time flight information, including flight take-off and landing times, location changes, and status update information, and generates aviation monitoring data; The change information monitoring submodule monitors and records the status changes of code-sharing flights and connecting flights based on the aviation monitoring data, analyzes the triggering reasons of flight change events, and generates flight event change records; The flight status record submodule analyzes flight dynamics and status updates based on the flight event change records, including dynamic changes of airlines, aircraft types, check-in islands, counters, boarding gates, and aircraft stands, and obtains flight information monitoring records.

4. The flight data change publishing system according to claim 1, characterized in that: The network modeling and analysis module includes: The flight feature identification submodule analyzes the key features of multiple flights based on the flight information monitoring records, including flight frequency, delay history, and route importance, identifies key flights that affect the flight network in multiple time periods, and generates flight dependency analysis results; The network relationship construction submodule uses the PageRank algorithm based on the flight dependency analysis results to analyze the interdependence and interaction between flights, identify the flight impact chain and key contact points, and generate flight interaction relationship mapping results; The PageRank algorithm is based on the formula: Calculate the importance level of the target flight to the aviation network, where PR(p i ) is the node p i The PageRank value of d is the damping coefficient, N is the total number of nodes in the network, M(p i ) points to p i The set of nodes, L(p j ) is the node p j Number of direct flights departing, f ij is the flight frequency factor from flight i to flight j, t ij is the time sensitivity factor of flight i to j, s ij is the seat capacity factor for flights i to j. The aviation network construction submodule constructs an interaction relationship diagram between flights based on the flight interaction relationship mapping results, identifies key airports and routes that affect the operation of the flight network, and obtains a key flight network diagram.

5. The flight data change publishing system according to claim 1, characterized in that: The flight impact prediction module includes: The flight network structure analysis submodule analyzes the nodes in the network based on the key flight network diagram, identifies the node connectivity and network density, and analyzes the impact on the stability and sensitivity of the flight network, and generates structural characteristic analysis results; The aviation network path identification submodule simulates the fault propagation path in the flight network based on the structural characteristic analysis results, identifies the flight paths that affect the flight network operation efficiency, and generates fault path analysis results; The aviation fault impact assessment submodule analyzes the impact of flight delays and cancellations on the flight network based on the fault path analysis results, identifies the impact of flight changes on the operating efficiency and service quality of adjacent nodes, and obtains flight change impact analysis results.

6. The flight data change publishing system according to claim 1, characterized in that: The optimization scheduling decision module includes: The flight scheduling analysis submodule prioritizes and analyzes the scheduling needs of the affected flights based on the flight change impact analysis results, identifies flight scheduling priorities, formulates processing strategies and action plans, and generates scheduling priority analysis results; The operation information update submodule updates the information of the affected flights in the flight operation management system based on the scheduling priority analysis result, including the estimated arrival time, gate adjustment information and delay notification, and generates a flight information adjustment result; The scheduling scheme optimization submodule adjusts the operation schedule and boarding gate allocation plan of the affected flights based on the flight information adjustment result, optimizes the operation efficiency of the flights, and obtains a flight scheduling adjustment plan.

7. The flight data change publishing system according to claim 1, characterized in that: The scheduling execution and status update module includes: The security check queue adjustment submodule predicts flight schedule changes and passenger flow information based on the flight scheduling adjustment plan, adjusts the queue layout of the airport security check area, optimizes queue flow and waiting time, and generates a security check process optimization plan; The waiting seat adjustment submodule adjusts the layout of the waiting area seats and the passenger waiting area based on the security check process optimization plan, combined with the boarding gate allocation plan and the flight schedule, including adding or adjusting the seat area, optimizing the comfort and convenience of passengers while waiting to board the plane, and generating a passenger seat optimization plan; The navigation system update submodule updates the airport's internal navigation system based on the passenger seat optimization solution, including boarding gate information, waiting area indications, and critical path guidance, optimizes passengers' navigation experience at the airport, and generates ground service process update records.

8. The flight data change publishing system according to claim 1, characterized in that: The information publishing and updating module includes: The display information update submodule updates the information display board in the airport based on the ground service process update record, including the adjusted flight time, boarding gate information, and emergency notification information, and generates a display board update log; The website information update submodule updates the flight information on the official airport website based on the display board update log, including flight status updates, boarding gate changes, and expected delay information, and obtains flight web page information; The passenger notification push submodule generates flight change notification information based on the flight web page information and using the communication system, including SMS service and email, to push real-time notifications of flight changes to passengers, including flight delays, flight cancellations, gate changes and weather warning information.

9. A method for publishing flight data changes, characterized in that: The flight data change publishing system according to any one of claims 1 to 8 is implemented, comprising the following steps: Based on real-time flight information, collect real-time flight status and airport operation changes, record status updates of code-sharing flights and connecting flights, and generate real-time flight monitoring records; Based on the real-time flight monitoring records, analyzing the mutual influence and dependency between flights, constructing a flight interaction relationship network, and generating a flight interaction network model; Based on the flight interaction network model, by analyzing the key paths and sensitive points in the network, identifying the key flight nodes and the paths of fault diffusion, and generating flight network fault analysis results; Based on the flight network failure analysis results, design a flight scheduling optimization strategy, adjust the schedule and resource allocation of affected flights, update the flight operation management system information, and generate a flight optimization scheduling plan; Based on the flight optimization scheduling plan, the airport ground service process is adjusted, the information display board and the airport official website information are updated, the flight change information is pushed to passengers and airport staff, and the flight change notification information is generated.

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