Airport group integrated operation management and control system

Abstract

The invention discloses an airport group integrated operation management and control system, and the system comprises a data access module which is used for obtaining the operation data of an airport group; the operation resource dynamic management module obtains airport group operation data and optimizes time-space domain resource distribution based on the airport group operation data; the traffic flow conflict early warning module deduces potential conflict early warning of the whole airport group on the basis of airport group operation data and time-space domain resource distribution; the emergency recovery decision module generates a traffic flow recovery strategy based on airport group operation data, the current situation of time-space domain resources and conflict early warning, and performs simulation deduction and validity evaluation on the traffic flow recovery strategy; the visual intelligent management and control platform integrates and operates a resource dynamic management module, a traffic flow conflict early warning module and an emergency recovery decision module. According to the technical scheme of the invention, the method can effectively deal with the delay condition, reduces the disordered airport order, shortens the flight delay time, reduces the waiting time of passengers, and reduces the waste of airport group resources.

Description

Technical Field

[0001] The present invention relates to the technical field of air traffic control, and particularly to an integrated operation control and management system for airport clusters. Background Art

[0002] With the continuous growth of the global economy, the civil aviation transportation industry has entered a period of rapid development. The passenger flow at airports and the number of flight takeoffs and landings are increasing continuously, and the management of airport clusters is becoming increasingly important in the air transportation system.

[0003] At present, although regional operation management committees for airport clusters have been established in various regions, the application level still focuses on the traffic flow control and capacity-demand allocation of single airports, lacking overall coordination of the integrated operation of the airport cluster region. In particular, in the face of emergencies, the existing systems mainly rely on manual decision-making. In the face of emergencies such as bad weather and equipment failures, air traffic controllers mainly rely on personal experience to make decisions. However, manual experience is subjective and limited, and the decisions of different air traffic controllers may vary greatly, making it difficult to ensure the scientificity and accuracy of decisions. Some strategies may not be able to effectively cope with delays, resulting in chaotic airport order, extended flight delays, long waiting times for passengers, and serious waste of airport cluster resources. Summary of the Invention

[0004] Aiming at the defects in the prior art, the present invention provides an integrated operation control and management system for airport clusters, which can effectively cope with delays, reduce chaotic airport order, shorten flight delay times, reduce passenger waiting times, and reduce waste of airport cluster resources.

[0005] An integrated operation control and management system for airport clusters provided by the present application, the integrated operation control and management system for airport clusters includes:

[0006] A data access module, which is used to obtain airport cluster operation data, and the airport cluster operation data at least includes airspace traffic flow data, message data, surface traffic flow data, time slot exchange data, flight track data, and observed meteorological data;

[0007] An operation resource dynamic management module, which is connected to the data access module, and the operation resource dynamic management module obtains the airport cluster operation data and optimizes the distribution of spatio-temporal domain resources based on the airport cluster operation data;

[0008] A traffic flow conflict early warning module, which is connected to the data access module and the operation resource dynamic management module, and the traffic flow conflict early warning module deduces potential conflict early warnings in the entire airport cluster area based on the airport cluster operation data and the spatio-temporal domain resource distribution;

[0009] An emergency recovery decision-making module, which is respectively connected to the operation resource dynamic management module, the traffic flow conflict warning module and the data access module. The emergency recovery decision-making module generates a traffic flow recovery strategy based on the airport group operation data, the current situation of the spatio-temporal domain resources and the conflict warning, and conducts simulation deduction and effectiveness evaluation on the traffic flow recovery strategy;

[0010] A visual intelligent control platform, which integrates the operation resource dynamic management module, the traffic flow conflict warning module and the emergency recovery decision-making module. The visual intelligent control platform is used for data interaction and displaying the airspace resource distribution, the conflict warning and the traffic flow recovery strategy.

[0011] In one aspect, the emergency recovery decision-making module is also provided with a decision-making model, which generates a traffic flow recovery strategy based on the airport group operation data, the current situation of the spatio-temporal domain resources and the conflict warning. The traffic flow recovery strategy at least includes interval time limit, total amount limit and altitude limit.

[0012] In one aspect, the emergency recovery decision-making module further includes:

[0013] A simulation deduction unit, which conducts simulation deduction on the traffic flow recovery strategy and generates a deduction result;

[0014] An effectiveness evaluation unit, which conducts airspace and surface operation effectiveness analysis on the deduction result.

[0015] In one aspect, the operation resource dynamic management module includes:

[0016] An intelligent prediction unit, which is used to predict the capacity of key position points and generate a prediction result. The key position points at least include corridor mouth points, air route segments, apron positions, runways and taxiways;

[0017] A dynamic allocation unit, which generates a spatio-temporal domain resource dynamic allocation strategy according to the prediction result;

[0018] A global optimization unit, which optimizes the spatio-temporal domain resource dynamic allocation strategy based on the actual operation situation.

[0019] In one aspect, the airport group integrated operation control system further includes:

[0020] An operation quality evaluation module, the operation quality evaluation module is connected to the data access module, and the operation quality evaluation module is used to obtain airport cluster operation data and evaluate the airport cluster operation status based on the airport cluster operation data.

[0021] In one aspect, the operation quality evaluation module includes:

[0022] An index calculation unit, which calculates the scores of each index based on the airport group operation data and generates a calculation result;

[0023] An optimization suggestion unit is used to generate a quality evaluation report based on the calculation result.

[0024] In one aspect, the data access module comprises:

[0025] A data receiving unit, the data receiving unit is used to receive airport group operation data;

[0026] An association fusion unit is used to unify the data format of the airport group operation data and equip different airport group operation data with data identifiers.

[0027] In one aspect, the data access module further comprises:

[0028] A storage unit, the association fusion unit is connected to the storage unit, and the storage unit is used to store airport group operation data equipped with data identifiers.

[0029] In one aspect, the data access module obtains airport group operation data based on Ethernet, and the data access module is configured with a firewall.

[0030] In one aspect, the visual intelligent management and control platform includes:

[0031] A data playback unit, wherein the data playback unit is used for data playback;

[0032] A consultation unit is used for consultation communication management.

[0033] The beneficial effects of the present invention are as follows: the data access module provides data support for the subsequent operation control of the airport group by acquiring the operation data of the airport group. The operation resource dynamic management module rationally utilizes resources to avoid idle or overly tight distribution of time and space domain resources, thereby improving the efficiency of airport operation. The traffic flow conflict warning module deduces potential conflict warnings and timely discovers conflict risks. By warning of conflicts in advance, flight plans can be adjusted in advance to avoid delays and airport chaos caused by flight conflicts.

[0034] In case of emergencies, the emergency recovery decision-making module quickly generates recovery strategies, selects recovery strategies through simulation deduction and effectiveness evaluation, and quickly restores traffic flow.

[0035] Through the visual intelligent control platform, the distribution of spatio-temporal domain resources, conflict warnings, and traffic flow recovery strategies can be intuitively understood, which helps in collaborative cooperation and making quick decisions. It can be seen that the technical solution of this application can reduce flight waiting times, reduce passenger waiting times, and reduce the waste of airport group resources. BRIEF DESCRIPTION OF THE DRAWINGS

[0036] In order to more clearly illustrate the specific embodiments of the present invention or the technical solutions in the prior art, the following will briefly introduce the drawings required for the description of the specific embodiments or the prior art. In all the drawings, similar elements or parts are generally identified by similar reference numerals. In the drawings, the elements or parts are not necessarily drawn to scale.

[0037] Figure 1 It is a schematic diagram of data interaction of each module of the airport group integrated operation control system of this application;

[0038] Figure 2 It is a schematic diagram of the architecture of the airport group integrated operation control system of this application. DETAILED DESCRIPTION OF THE EMBODIMENTS

[0039] The following will describe in detail the embodiments of the technical solution of the present invention in conjunction with the drawings. The following embodiments are only used to more clearly illustrate the technical solution of the present invention, so they are only examples and cannot be used to limit the protection scope of the present invention.

[0040] It should be noted that unless otherwise specified, the technical terms or scientific terms used in this application should have the ordinary meaning understood by those skilled in the art to which the present invention belongs.

[0041] Referring to Figure 1 and Figure 2 As shown, this application provides an airport group integrated operation control system, which includes: a data access module, an operation resource dynamic management module, a traffic flow conflict warning module, an emergency recovery decision-making module, and a visual intelligent control platform.

[0042] The data access module is used to obtain the operation data of the airport group. The operation data of the airport group includes at least airspace traffic data, message data, surface traffic data, slot exchange data, flight track data, and observed meteorological data. The data access module is the data source of the entire integrated operation control system of the airport group, and it obtains various types of data required for the operation of the airport group. In the complex operation environment of the airport, numerous factors will affect the normal takeoff and landing and flight of flights. Therefore, comprehensive and accurate data is needed to support subsequent decision-making and management.

[0043] The types of operation data of the airport group obtained by the data access module are rich, covering at least airspace traffic data, message data, surface traffic data, slot exchange data, flight track data, and observed meteorological data. The airspace traffic data can reflect the busy degree and distribution of air traffic, helping air traffic controllers understand the flight pressure in different regions; the message data contains key information such as flight plans and status, which is an important basis for flight operation scheduling; the surface traffic data focuses on the traffic conditions on the airport ground, such as the dynamics of aircraft on runways and taxiways and the usage of parking positions; the slot exchange data involves the arrangement and adjustment of flight takeoff and landing times, which is crucial for optimizing flight schedules; the flight track data can track the position and flight path of aircraft in real time, facilitating the monitoring and prediction of the flight state of aircraft; the observed meteorological data provides early warnings and decision-making bases for coping with emergencies such as bad weather.

[0044] The operation resource dynamic management module is connected to the data access module. The operation resource dynamic management module obtains the operation data of the airport group and optimizes the distribution of spatio-temporal resources based on the operation data of the airport group. The operation resource dynamic management module is communicatively connected to the data access module. The operation resource dynamic management module dynamically manages and optimizes the distribution of the spatio-temporal resources of the airport through the operation data of the airport group provided by the data access module.

[0045] In airport operation, spatio-temporal resources include runways, parking positions, airspace, etc. The reasonable allocation of these resources is crucial for improving airport operation efficiency and ensuring flight safety. The operation resource dynamic management module will conduct capacity prediction on key location points of the airport, such as corridor points, air route segments, airport runways, parking positions, etc. By analyzing historical data and real-time data, combined with factors such as flight plans and weather, it predicts the resource requirements and usage of these location points at different time periods. Then, based on the prediction results, it generates a dynamic allocation strategy for spatio-temporal resources and reasonably allocates the resources to each flight and operation link. At the same time, the operation resource dynamic management module will also globally optimize the allocation strategy in combination with the actual operation situation of the airport group to ensure the efficient use of resources and the smooth overall operation.

[0046] The traffic flow conflict warning module is connected to the data access module and the operation resource dynamic management module. Based on the operation data of the airport group and the distribution of spatio-temporal domain resources, the traffic flow conflict warning module deduces potential conflict warnings across the entire airport group. The traffic flow conflict warning module is communicatively connected to the data access module and the operation resource dynamic management module. The traffic flow conflict warning module deduces potential conflict warnings across the entire airport group based on the operation data of the airport group and the distribution of spatio-temporal domain resources.

[0047] During the operation of the airport group, the flight paths and landing / takeoff arrangements of flights are intricate and complex, and it is very easy for traffic flow conflicts to occur, such as conflicts between two aircraft in the same airspace or on the same runway. The traffic flow conflict warning module adopts an analysis method that combines macro and micro perspectives. Macroscopically, through the analysis method of the adaptability between traffic flow and resources, it evaluates the matching degree between the traffic flow of the entire airport group and spatio-temporal domain resources, and judges whether there are potential conflict risks. Microscopically, it uses a distributed prediction method based on artificial intelligence to monitor and predict the flight trajectory and status of each aircraft in real time, and accurately discovers possible conflict points. Through this comprehensive analysis and warning, potential conflicts can be discovered in advance, providing timely information for air traffic controllers so that they can take corresponding measures to avoid the occurrence of conflicts and ensure the safe operation of the airport group.

[0048] The emergency recovery decision-making module is respectively connected to the operation resource dynamic management module, the traffic flow conflict warning module, and the data access module. Based on the operation data of the airport group, the current situation of spatio-temporal domain resources, and conflict warnings, the emergency recovery decision-making module generates a traffic flow recovery strategy and conducts simulation deduction and effectiveness evaluation on the traffic flow recovery strategy. The emergency recovery decision-making module is respectively communicatively connected to the operation resource dynamic management module, the traffic flow conflict warning module, and the data access module. The emergency recovery decision-making module plays a key role when the airport group responds to emergencies.

[0049] When the airport group encounters emergencies, such as bad weather, equipment failures, etc., it will cause flight delays, cancellations, or traffic flow chaos. The emergency recovery decision-making module generates a traffic flow recovery strategy based on the operation data of the airport group, the current situation of spatio-temporal domain resources, and traffic flow conflict warning information. These strategies aim to quickly restore the normal operation order of the airport group and reduce the impact of emergencies on flights and passengers. At the same time, the emergency recovery decision-making module will also conduct simulation deduction and effectiveness evaluation on the generated traffic flow recovery strategy. By simulating the operation of the airport under different strategies, it evaluates the feasibility and effectiveness of the strategies, and selects a better recovery strategy to ensure that the traffic flow can be quickly and scientifically restored after an emergency occurs, and the stable operation of the airport group is guaranteed.

[0050] The visual intelligent control platform integrates a dynamic management module for operating resources, a traffic flow conflict early warning module, and an emergency recovery decision-making module. The visual intelligent control platform is used for data interaction and for displaying the distribution of airspace resources, conflict early warnings, and traffic flow recovery strategies. The visual intelligent control platform integrates a dynamic management module for operating resources, a traffic flow conflict early warning module, and an emergency recovery decision-making module. The visual intelligent control platform is the human-machine interaction interface and information display center of the integrated operation control system for the entire airport group.

[0051] In this embodiment, the data access module provides data support for the subsequent operation control of the airport group by acquiring the operation data of the airport group. The dynamic management module for operating resources rationally utilizes resources, avoids the idleness or over-tension of the distribution of spatio-temporal resources, and improves the operation efficiency of the airport. The traffic flow conflict early warning module deduces potential conflict early warnings and discovers conflict risks in a timely manner. By warning of conflicts in advance, flight schedules can be adjusted in advance to avoid delays and chaos in airport order caused by flight conflicts.

[0052] In case of an emergency, the emergency recovery decision-making module quickly generates a recovery strategy, and selects a recovery strategy through simulation deduction and effectiveness evaluation to quickly restore the traffic flow.

[0053] Intuitively understanding the distribution of spatio-temporal resources, conflict early warnings, and traffic flow recovery strategies through the visual intelligent control platform helps with collaborative cooperation and enables quick decision-making. Thus, the technical solution of this application can reduce flight waiting times, reduce passenger waiting times, and reduce the waste of airport group resources.

[0054] In an embodiment of this application, the emergency recovery decision-making module is further provided with a decision-making model. The decision-making model generates a traffic flow recovery strategy based on the operation data of the airport group, the current situation of spatio-temporal resources, and conflict early warnings. The traffic flow recovery strategy includes at least time interval limits, total quantity limits, and altitude limits. The decision-making model makes decisions based on the operation data of the airport group, the current situation of spatio-temporal resources, and conflict early warning information. The operation data of the airport group reflects real-time dynamics of current flights at the airport, resource usage, and other information; the current situation of spatio-temporal resources indicates the occupancy and allocable status of resources such as runways, parking positions, and airspace at a specific moment; the conflict early warning information provides a risk reminder of possible traffic flow conflicts, enabling the decision-making model to respond to potential dangers. By integrating this information, the decision-making model can comprehensively understand the operation status of the airport group and provide solid data support for formulating reasonable traffic flow recovery strategies.

[0055] After an emergency occurs, to ensure the safe takeoff and landing and orderly operation of flights, the decision-making model will set an interval time limit. When poor weather reduces the runway visual range, increasing the interval time between flight takeoffs and landings can give pilots more sufficient reaction time and avoid safety accidents caused by too close spacing. This limit helps to ensure flight safety in complex situations, prevent dangerous approaches between aircraft, and at the same time standardize the operation rhythm of flights to avoid chaos and disorder.

[0056] According to the resource carrying capacity and operating conditions of the airport, the decision-making model will implement a total quantity limit strategy. When the runway or airspace is affected by an emergency and some resources cannot be used normally, the number of flights entering the airport or a specific area will be restricted. This can prevent an excessive concentration of flights in the airport or key areas, avoid excessive resource tension and aggravated traffic congestion. By controlling the total number of flights, it is ensured that limited resources can be reasonably allocated to each flight to maintain the stability and safety of airport operations.

[0057] The altitude limit is to avoid conflicts between aircraft in the vertical direction and ensure flight safety. When an emergency occurs, such as the presence of special activities nearby or changes in meteorological conditions affecting the flight safety of a specific altitude layer, the decision-making model will stipulate the flight altitude limit for flights within a specific time period. This can keep a safe interval between different flights in the vertical direction, reduce the flight risks caused by altitude conflicts, and ensure that aircraft can still operate safely and orderly in complex situations.

[0058] In an embodiment of the present application, the emergency recovery decision-making module further includes: a simulation and deduction unit and an effectiveness evaluation unit.

[0059] The simulation and deduction unit conducts simulation and deduction on the traffic flow recovery strategy and generates a deduction result; the core task of the simulation and deduction unit is to simulate the operation of the airport group after implementing the traffic flow recovery strategy. A virtual scenario highly similar to the actual airport operating environment is constructed, and the traffic flow recovery strategy is applied therein for dynamic simulation to predict the effect after the implementation of the strategy and provide a basis for subsequent evaluation and decision-making.

[0060] Since the operation of the airport group is a complex systems engineering involving many factors, such as flight takeoff and landing times, flight routes, runway usage, apron allocation, etc. The simulation and deduction unit will comprehensively consider these factors, combine information such as airport group operation data and the current status of spatio-temporal domain resources, and create a realistic operation scenario. In the case of poor weather causing a reduction in runway visual range, the simulation and deduction unit will simulate the takeoff and landing operations of aircraft, taxiing speeds, and air traffic control command processes under low visibility conditions, so as to comprehensively present the possible situation after the implementation of the strategy.

[0061] Through the simulation and deduction of traffic flow recovery strategies, a series of detailed deduction results will be generated. These results may include specific data and information such as flight delay times, changes in takeoff and landing sequences, congestion levels in airspace and on the ground, resource utilization rates, etc. Through these results, decision-makers can intuitively understand the impacts of the strategy in different aspects, such as which flights may be greatly affected, which areas may experience congestion, etc., providing a reference for further optimizing the strategy.

[0062] Before actually implementing the traffic flow recovery strategy, possible problems and risks can be discovered in advance through simulation and deduction. If the flight interval time set in the strategy is too short, aircraft conflicts or smooth taxiing may occur in the simulation and deduction; or if the allocation of certain resources in the strategy is unreasonable, it may lead to over-tension of resources in some areas while other areas are idle. Discovering these problems in a timely manner and adjusting the strategy can avoid chaos and delays in actual operation and improve the feasibility and effectiveness of the strategy.

[0063] The effectiveness evaluation unit conducts an analysis of the effectiveness of airspace and surface operations on the deduction results. Based on the deduction results generated by the simulation and deduction unit, the effectiveness evaluation unit comprehensively analyzes and evaluates the effectiveness of the traffic flow recovery strategy from two aspects: airspace operation and surface operation. Through a series of evaluation indicators and methods, it is judged whether the strategy can achieve the expected goals, that is, whether it can effectively recover the traffic flow of the airport group, ensure flight safety, and improve operation efficiency.

[0064] Evaluate whether the strategy can reasonably divert the flight flow in the airspace and avoid in-air congestion and flight queuing. By analyzing data such as flight trajectories and interval times in the deduction results, it is judged whether the strategy can enable flights to fly orderly in the airspace and improve the utilization rate of the airspace.

[0065] Check whether the strategy can effectively avoid conflicts between flights and ensure flight safety. Analyze whether potential flight conflicts occur during the deduction process and whether the measures taken by the strategy (such as altitude restrictions, route adjustments, etc.) can resolve these conflicts in a timely manner.

[0066] Examine the utilization efficiency of airspace resources (such as routes, altitude layers, etc.) by the strategy. Evaluate whether the strategy can make full use of available airspace resources, reduce resource waste, and at the same time ensure that flights can fly along an optimal path, shortening flight time and distance.

[0067] Analyze whether the allocation of runways and parking positions by the strategy is reasonable and whether it can improve the turnover rate of these resources. Evaluate whether the takeoff and landing efficiency of the runway has been improved, whether the occupancy and release of parking positions meet expectations, and avoid the situation of idle runways or tight parking positions.

[0068] Check whether the strategy can ensure the smooth passage of aircraft on the taxiway, reducing taxiing time and waiting time. Analyze data such as the queuing situation and taxiing speed of aircraft on the taxiway in the analysis and deduction results to determine whether the strategy can optimize the taxiing route and improve the fluidity of surface traffic.

[0069] Evaluate the impact of the strategy on flight turnover efficiency, that is, whether the entire process from the arrival of a flight at the airport to its next takeoff can be more efficient. By analyzing data such as the docking time and departure time of flights, determine whether the strategy can shorten the ground holding time of flights and improve the overall operation efficiency of the airport.

[0070] In summary, through the analysis of the effectiveness evaluation unit, an objective evaluation of the effectiveness of the traffic flow recovery strategy can be provided to decision-makers, helping them decide whether to adjust and optimize the strategy to ensure the normal operation order of the airport cluster can be restored as soon as possible after an emergency.

[0071] In an embodiment of the present application, the operation resource dynamic management module includes: an intelligent prediction unit, a dynamic allocation unit, and a global optimization unit.

[0072] The intelligent prediction unit is used to predict the capacity of key location points, generating prediction results. The key location points at least include corridor entrance points, air route segments, parking positions, runways, and taxiways; the operation of the airport is dynamically changing, and the resource requirements and carrying capacities of each key location point will vary at different times and under different circumstances. The intelligent prediction unit grasps these changing trends in advance to provide a basis for subsequent resource allocation.

[0073] The coverage range of key location points - Corridor entrance points: As the key nodes connecting the airspace and the airport, their capacity limits the flight flow in and out of the airport. By analyzing factors such as historical flight data, current meteorological conditions, and flight plan adjustments, predict the number of flights that the corridor entrance point can accommodate and the maximum traffic flow that can pass through in a specific future time period, helping air traffic control plan flight queuing and release strategies in advance.

[0074] The terrain, navigation facilities, airspace restrictions, etc. of different air route segments are different, resulting in differences in their capacities. The intelligent prediction unit comprehensively considers these factors and combines the real-time traffic conditions to predict the traffic flow carrying capacity of the air route segments, providing a reference for airspace planning and route optimization to avoid congestion on the air route segments.

[0075] Parking positions are the key resources for aircraft to park on the airport ground. The intelligent prediction unit predicts the required number and usage of parking positions in different time periods based on information such as the takeoff and landing times, aircraft types, and expected stay durations of flights, so that the airport can reasonably arrange parking position allocation and improve the utilization rate of parking positions.

[0076] The runway is the core facility for aircraft takeoff and landing, and its capacity directly affects the operation efficiency of the airport. The intelligent prediction unit considers factors such as runway length, width, takeoff and landing standards, weather conditions, and flight takeoff and landing patterns to predict the maximum number of takeoffs and landings on the runway during different time periods, providing an important basis for air traffic control to formulate takeoff and landing plans.

[0077] Taxiways connect areas such as runways and parking positions and are important channels for aircraft ground operations. The intelligent prediction unit analyzes the taxiing speed, turning frequency, intersection conflict situations, etc. of aircraft on the taxiways to predict the capacity of the taxiways, avoid taxiway congestion, and ensure smooth aircraft ground operations.

[0078] The dynamic allocation unit generates a dynamic allocation strategy for spatio-temporal resources based on the prediction results; after obtaining the capacity prediction data of each key location point, the dynamic allocation unit needs to formulate a reasonable resource allocation plan to meet the operation requirements of the airport. According to the predicted capacity of different key location points, combined with the priority levels of flights (such as higher priority for emergency flights, international flights, etc.), flight plan arrangements, and real-time operation conditions, determine the allocation of spatio-temporal resources for each flight within a specific time. When it is predicted that the runway capacity is tight during a certain period, give priority to ensuring that flights with high priority levels use the runway resources, and at the same time reasonably arrange the waiting time and takeoff and landing sequences of other flights; according to the predicted usage situation of the parking positions, allocate appropriate parking positions for different flights in advance to reduce the taxiing distance and time of aircraft on the ground.

[0079] The global optimization unit optimizes the dynamic allocation strategy for spatio-temporal resources based on the actual operation situation. Various emergencies and changes will occur during the operation of the airport, such as temporary weather changes, equipment failures, and temporary flight adjustments. Therefore, the global optimization unit needs to adjust the allocation strategy in a timely manner to ensure the high efficiency and stability of the overall airport operation. Continuously monitor the actual operation data of the airport, including the actual takeoff and landing times of flights, taxiing speeds, and real-time traffic flows in the airspace, and conduct comparative analysis with the original allocation strategy. Once it is found that there are deviations between the actual operation situation and the original strategy or new problems occur, such as the temporary restriction of traffic flow on a certain air route due to weather reasons, the global optimization unit will re-evaluate the resource requirements and allocation situations of each key location point and adjust and optimize the original allocation strategy. It may re-plan the flight routes of flights, adjust the use arrangements of the runway, or re-allocate parking positions, etc. to adapt to the real-time changing operation situation of the airport and ensure the overall efficiency and safety of the airport operation.

[0080] In an embodiment of the present application, the integrated operation control system for airport clusters further includes: an operation quality evaluation module. The operation quality evaluation module is connected to the data access module. The operation quality evaluation module is used to obtain the operation data of the airport clusters and evaluate the operation status of the airport clusters based on the operation data of the airport clusters. Based on the operation data of the airport clusters to evaluate the operation status of the airport clusters, evaluation indicators are determined. According to the characteristics and management requirements of the operation of the airport clusters, the operation quality evaluation module has established a set of evaluation index systems. These indicators may include flight punctuality rate, runway utilization rate, apron turnover rate, airspace congestion degree, average passenger waiting time, etc. Each indicator reflects the status of a certain aspect of the operation of the airport clusters from different angles. For example, the flight punctuality rate directly reflects the reliability of flight operations, and the runway utilization rate reflects the utilization efficiency of the core surface resources of the airport clusters.

[0081] After the operation quality evaluation module obtains the data, it deeply analyzes and calculates these data. For the flight punctuality rate, the module will compare and calculate the planned take-off and arrival times and the actual take-off and arrival times recorded in the message data and flight track data; for the runway utilization rate, it will calculate in combination with the runway usage record data (such as occupancy time, number of take-offs and landings, etc.) and the total available time of the runway. Through the accurate calculation of various data, the specific values of each evaluation indicator are obtained.

[0082] The calculation results of each evaluation indicator are comprehensively analyzed, and specific evaluation methods (such as weighted average method, analytic hierarchy process, etc.) are used to comprehensively and objectively evaluate the operation status of the airport clusters. The evaluation results may be presented in the form of scores, grades (such as excellent, good, medium, poor) or intuitive charts (such as bar charts showing the comparison of runway utilization rates in different time periods, line charts presenting the change trend of flight punctuality rates). Through these intuitive result displays, the management personnel of the airport clusters can quickly understand the operation level of the airport clusters in the past period of time, such as the past month or quarter, and identify the advantages and existing problems in the operation process.

[0083] In an embodiment of the present application, the operation quality evaluation module includes: an index calculation unit and an optimization suggestion unit.

[0084] The indicator calculation unit calculates the scores of each indicator based on the airport group operation data and generates calculation results; the indicator calculation unit can have a specific calculation method for each evaluation indicator, which can convert the data into intuitive and quantifiable scores in order to accurately evaluate the airport operation. After calculating each indicator, the indicator calculation unit will generate detailed calculation results. These results are presented in the form of data tables, charts, etc., clearly showing the specific scores of each indicator. Use a bar chart to show the changes in flight punctuality in different time periods, or use a line chart to show the fluctuations in runway utilization over a period of time. These intuitive presentation methods provide clear data support for subsequent analysis and decision-making, allowing airport group managers to quickly understand the quantitative performance of airport operations in all aspects.

[0085] The optimization suggestion unit generates a quality evaluation report based on the calculation results. The optimization suggestion unit takes the calculation results generated by the indicator calculation unit as the core analysis object. Through in-depth research on these data, the problems and weak links in the operation of the airport cluster are identified. If the calculation results show that the flight delay rate of the airport is high and the runway utilization rate is low in a certain period of time, the optimization suggestion unit will analyze whether it is due to weather reasons, unreasonable flight scheduling, or equipment failure. Through this detailed analysis, the key factors affecting the quality of airport operation are found. Based on the analysis of the calculation results, the optimization suggestion unit will generate a quality evaluation report. The report content not only includes an overall evaluation of the operation status of the airport cluster, but also elaborates on the performance of each evaluation indicator, explaining which indicators perform well and which indicators have room for improvement. For indicators with problems, specific optimization suggestions will be put forward in the report. The quality evaluation report provides an important basis for airport management decision-making. Airport cluster managers can formulate targeted improvement measures based on the optimization suggestions in the report to improve the operation quality of the airport cluster. After the implementation of improvement measures, the operation quality evaluation module will again collect data, calculate indicators and generate reports to evaluate the effectiveness of the improvement measures, forming a cycle of continuous improvement and continuously improving the operation efficiency and service quality of the airport cluster.

[0086] In one embodiment of the present application, the data access module includes: a data access unit, an association fusion unit and a storage unit.

[0087] The data receiving unit is used to receive airport cluster operation data. Airport cluster operation involves many different sources and types of data. The data receiving unit is like a data "collector" responsible for receiving these airport cluster operation data from various channels.

[0088] The association and fusion unit is used to unify the data formats of the airport group operation data and assign data identifiers (GUFI) to different airport group operation data. Due to the huge differences in data formats from different data sources, this brings difficulties to the unified processing and analysis of the system. The association and fusion unit unifies the data formats. For the airspace traffic data from different systems, some may be traffic information recorded in text format, and some may be encoded data in binary format. Through specific conversion algorithms and rules, they are unified into a standard format that the system can recognize and process. In this way, whether it is for data analysis, storage or transmission, the consistency and compatibility of the data can be ensured, and the system operation efficiency can be improved.

[0089] And to facilitate the accurate identification, management and invocation of massive data, the association and fusion unit will assign unique data identifiers to different airport group operation data. For a specific flight trajectory data, a specific identifier will be assigned, and this identifier is associated with various attributes and information of the data. In the subsequent system operation process, when this data needs to be queried or processed, it can be quickly and accurately found through this identifier, greatly improving the accuracy and speed of data processing.

[0090] The association and fusion unit is connected to the storage unit, and the storage unit is used to store the airport group operation data equipped with data identifiers. The storage unit is responsible for storing data. The data that has been unified in format and equipped with identifiers by the association and fusion unit will be stored in the storage unit in an orderly manner. The storage unit not only stores data, but also provides support for data management and invocation. It facilitates the system to quickly retrieve and obtain the required data by establishing indexes, optimizing the storage layout, etc. When the operation resource dynamic management module needs to obtain airspace traffic data for resource prediction, the storage unit can quickly locate and provide the corresponding data according to the data identifier. At the same time, the storage unit can also classify and manage the data, dividing it according to dimensions such as data type and time, improving the convenience of data management and the efficiency of data use. The storage unit can be a database.

[0091] In an embodiment of the present application, the data access module obtains the airport group operation data based on Ethernet, and the data access module is configured with a firewall. For example, the Ethernet connection is implemented in the TCP / IP manner. In the integrated operation and control system of the airport group, the integrity and accuracy of the data are crucial for ensuring the normal operation of the airport. The firewall can prevent external network interference and damage to the data transmission process, avoid data loss, errors or being maliciously modified, so as to ensure the quality of the airport group operation data obtained by the data access module. Only accurate data can provide reliable support for subsequent modules such as operation resource dynamic management and traffic flow conflict warning, ensure the stable operation of the entire system, and ensure the safety and efficient operation of the airport.

[0092] In an embodiment of the present application, the visual intelligent control platform further includes: a data playback unit and a consultation unit.

[0093] The data playback unit is used for data playback; the data playback unit can reproduce the operation data of the airport group in a specific past period, such as airspace traffic flow, flight tracks, etc. This enables staff to review complex situations or abnormal events, such as flight scheduling under bad weather, summarize experience from the data, and find optimization strategies. It provides real-scenario materials for the training of new employees. New employees can directly understand the airport operation process and methods for dealing with special situations by watching the data playback, improving the training effect and accelerating their familiarity with the work. When developers optimize the system, they use the data playback to simulate different operation scenarios and test the effects of new algorithms or functional modules. By comparing the playback data with the expected results, they can find the deficiencies of the system and make targeted improvements. When an accident or failure occurs during the airport operation, the data playback unit provides key clues. Investigators can restore the event process based on the playback data, analyze the causes, clarify responsibilities, and formulate preventive measures to ensure the subsequent safe operation of the airport.

[0094] The consultation unit is used for consultation communication management. At the same time, the visual intelligent control platform can also provide a consultation unit to facilitate communication and collaboration among multiple operation entities, improving the efficiency and effect of the operation control of the airport group.

[0095] In addition, the data access module, the dynamic management module of operation resources, the traffic flow conflict warning module, the emergency event recovery decision-making module, and the operation quality evaluation module are integrated on the visual intelligent control platform. The visual intelligent control platform also includes data interaction and information display. In terms of data interaction, it can achieve data sharing and transmission among various modules to ensure the collaborative work among different modules. For example, the resource allocation information of the dynamic management module of operation resources can be transmitted to the traffic flow conflict warning module and the emergency event recovery decision-making module in real time to provide support for their decision-making. In terms of information display, the visual intelligent control platform can display important information such as airspace resource distribution, conflict warning, and traffic flow recovery strategies in an intuitive manner to air traffic controllers and relevant staff. Through the visual display, staff can quickly and accurately understand the operation status and potential risks of the airport group and make timely and scientific decisions.

[0096] The integrated operation control system of the airport group further includes a visual intelligent display terminal. An air traffic control director's seat, air traffic control seats, airline seats, and multi-airport seats are arranged facing the visual intelligent display terminal.

[0097] Finally, it should be noted that the above embodiments are only used to illustrate the technical solutions of the present invention, rather than to limit them; although the present invention has been described in detail with reference to the foregoing embodiments, those of ordinary skill in the art should understand that they can still modify the technical solutions recorded in the foregoing embodiments, or perform equivalent replacements on some or all of the technical features; and these modifications or replacements do not cause the essence of the corresponding technical solutions to deviate from the scope of the technical solutions of the embodiments of the present invention, and they should all be covered by the scope of the claims and the specification of the present invention.

Claims

1. An airport group integrated operation control system, characterized in that: The airport cluster integrated operation control system includes: A data access module, the data access module is used to obtain airport group operation data, the airport group operation data at least includes airspace flow data, message data, surface flow data, time slot exchange data, flight trajectory data and observation meteorological data; An operation resource dynamic management module, the operation resource dynamic management module is connected to the data access module, the operation resource dynamic management module obtains the airport cluster operation data, and optimizes the time and space domain resource distribution based on the airport cluster operation data; A traffic flow conflict warning module, the traffic flow conflict warning module is connected to the data access module and the operation resource dynamic management module, and the traffic flow conflict warning module deduces potential conflict warnings for the entire airport cluster based on the airport cluster operation data and the spatiotemporal resource distribution; An emergency recovery decision module, wherein the emergency recovery decision module is connected to the operation resource dynamic management module, the traffic flow conflict warning module and the data access module respectively, and the emergency recovery decision module generates a traffic flow recovery strategy based on the airport cluster operation data, the status of the spatiotemporal resources and the conflict warning, and performs simulation deduction and effectiveness evaluation on the traffic flow recovery strategy; A visual intelligent management and control platform, wherein the visual intelligent management and control platform integrates the operation of the resource dynamic management module, the traffic flow conflict warning module and the emergency recovery decision module, and is used for data interaction and displaying the airspace resource distribution, the conflict warning and the traffic flow recovery strategy.

2. The airport group integrated operation control system according to claim 1 is characterized in that: The emergency recovery decision module is also provided with a decision model, which generates a traffic flow recovery strategy based on the airport group operation data, the status of the spatiotemporal resources and the conflict warning. The traffic flow recovery strategy at least includes interval time limit, total amount limit and height limit.

3. The airport group integrated operation control system according to claim 2 is characterized in that: The emergency recovery decision module also includes: A simulation deduction unit, wherein the simulation deduction unit performs simulation deduction on the traffic flow restoration strategy to generate a deduction result; A validity evaluation unit is used to analyze the airspace and surface operation validity of the simulation results.

4. The airport group integrated operation control system according to claim 1 is characterized in that: The running resource dynamic management module includes: An intelligent prediction unit, the intelligent prediction unit is used to perform capacity prediction on key locations and generate prediction results, the key locations at least including corridor entrances, route segments, parking positions, runways and taxiways; A dynamic allocation unit, wherein the dynamic allocation unit generates a dynamic allocation strategy for spatiotemporal resources according to the prediction result; A global optimization unit is used to optimize the dynamic allocation strategy of spatiotemporal resources based on actual operation status.

5. The airport group integrated operation control system according to claim 1 is characterized in that: The airport cluster integrated operation control system also includes: An operation quality evaluation module, the operation quality evaluation module is connected to the data access module, and the operation quality evaluation module is used to obtain airport cluster operation data and evaluate the airport cluster operation status based on the airport cluster operation data.

6. The airport group integrated operation control system according to claim 5 is characterized in that: The operation quality evaluation module includes: An index calculation unit, which calculates the scores of each index based on the airport group operation data and generates a calculation result; An optimization suggestion unit is used to generate a quality evaluation report based on the calculation result.

7. The airport group integrated operation control system according to any one of claims 1 to 6, characterized in that: The data access module comprises: A data receiving unit, the data receiving unit is used to receive airport group operation data; An association fusion unit is used to unify the data format of the airport group operation data and equip different airport group operation data with data identifiers.

8. The airport group integrated operation control system according to claim 6 is characterized in that: The data access module also includes: A storage unit, the association fusion unit is connected to the storage unit, and the storage unit is used to store airport group operation data equipped with data identifiers.

9. The airport group integrated operation control system according to claim 1, characterized in that: The data access module obtains the airport group operation data based on Ethernet, and the data access module is configured with a firewall.

10. The airport group integrated operation control system according to claim 1, characterized in that: The visual intelligent management and control platform includes: A data playback unit, wherein the data playback unit is used for data playback; A consultation unit is used for consultation communication management.

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