Air traffic flow management redisk method and system based on data analysis

Abstract

The invention provides an air traffic flow management redisk method and system based on data analysis, the system comprises a database, an information display module and a plurality of data management redisk modules, in the redisk process, a data source of an external system is imported into the database to be stored, a user confirms a redisk time period, and the redisk time period is stored; calling all data of the redisk time period from the database to form a data packet of the redisk time period; the user selects a redisk time point, and the collected information is displayed according to the selected redisk time point and the visual display scheme; furthermore, the user changes the redisk time point in real time, or the data management redisk module performs automatic identification decision on the redisk time point, and the redisk time point data changed by the user is visually displayed, so that various information generated by a decision maker during historical operation can be more easily reproduced, and the redisk time point data can be more accurately displayed. A decision maker is helped to analyze problems existing in historical traffic management work, and traffic management students are helped to analyze and learn historical cases.

Description

Technical Field

[0001] The present invention relates to the technical field of air traffic flow management, and in particular to a method and system for air traffic flow management review based on data analysis. Background Art

[0002] Air traffic flow management is to limit the number of aircraft operating in each airspace within a predetermined airspace carrying capacity per unit time. The airspace carrying capacity mentioned here is the capacity, and the number of aircraft per unit time is the flow. Studying the balance between air traffic capacity and flow is a key issue in the field of air traffic.

[0003] Relevant industry regulations stipulate that after the implementation of air traffic flow management, it is necessary to conduct a post-analysis of the flow management process to find the experience of successful decisions or the lessons of failed decisions in the analysis to provide support for future decisions.

[0004] After 2010, the industry began to develop regional traffic management systems, which enabled the flow control method that used to rely on telephone calls to be initially digitized. However, the process of formulating flow control measures still remains a crude method based on the experience of air traffic controllers.

[0005] After 2016, the industry developed a prototype of a traffic management system with traffic prediction and traffic monitoring functions, and began to move towards data-based traffic management.

[0006] In 2021, the national unified civil aviation traffic flow management system will be promoted nationwide, marking the first time in China that the data, standards, and functions of the air traffic flow management system have been unified.

[0007] Domestic peers have also conducted a lot of research in this regard. For example, in papers such as "Research on Evaluation Methods of Flow Control Schemes Based on Data Mining" and "Research and Implementation of Comprehensive Analysis System for Civil Aviation Air Traffic Control Review", the conception of traffic management measures is given, and certain ideas for traffic management review methods are proposed. However, to this day, the mainstream traffic management review methods in China still remain based on duty log records, descriptions of the day's duty situation, and descriptions of the timing of issuing flow control restrictions. There is a lack of reproduction and analysis of key decision-making information such as digitized forecast information and judgments on decision timing. The main shortcomings are as follows: The original data used for the review are the system data of control and command (which can be understood as the position, altitude, direction, speed and other information of all aircraft in the airspace) and meteorological system data, equipment status, human resource environment, etc. The object of the review is control and command, that is, studying the position, altitude, direction, speed adjustment and other air traffic dispatch instructions of aircraft, rather than reviewing the air traffic flow management strategy. Data such as capacity assessment, capacity and flow monitoring, and flow management measures mentioned in the ICAO document "Doc.9971-Collaborative Air Traffic Flow Management Manual (ATFM)" and the domestic regulations "Civil Aviation Air Traffic Flow Management Regulations AP-93-TM-2023-01" in the air traffic flow management process are not taken into account.

[0008] Moreover, it is difficult to help decision makers discover problems in capacity assessment, capacity flow monitoring, timing of traffic management measures, target of measures, accuracy of traffic forecasts, flight execution, etc. after operation. As a result, when users use the system to review traffic management, it is difficult to find the reasons for the success or failure of traffic management work based on the results presented. Summary of the invention

[0009] Based on this, the present invention provides an air traffic flow management review method and system based on data analysis, which reviews the air traffic flow management decision-making process, reproduces the capacity data update, capacity flow monitoring data, formulation of traffic management measures, expected effects of measures and other information at the decision-making time, so as to more easily reproduce the various information generated by decision makers during historical operation, help decision makers analyze the problems existing in the historical traffic management work after operation, and assist future traffic management students to analyze and learn historical cases.

[0010] In order to achieve the above-mentioned purpose, the present invention provides an air traffic flow management review method based on data analysis, comprising: saving the data source of the external system in a database within the system, including weather forecast information, actual weather information, telegram information, capacity information, traffic prediction information, traffic management strategy formulation information and flight operation information; the user confirms the review time period; retrieves all data of the review time period from the database to form a data packet of the review time period; the user selects a review time point; according to the review time point and visualization display scheme selected by the user, the collected information is displayed, including weather forecast information, actual weather information, telegram information, capacity information, traffic prediction information, traffic management strategy formulation information and flight operation information; the user changes the review time point in real time; and the data of the review time point changed by the user is visualized.

[0011] Furthermore, the system is also provided with a data processing module, through which the collected data is classified into decision intelligence data, air traffic capacity data, air traffic flow data, flow management measures formulation data and timeliness evaluation criteria.

[0012] Furthermore, the decision intelligence data includes event notification time and event action time, the air traffic capacity data includes capacity adjustment plan data, the air traffic flow data includes flow forecast data, and the flow management measures formulation data includes flow measure formulation time, flow measure action time period and flow measure start time.

[0013] Furthermore, the system is also provided with a capacity adjustment detection module, into which the capacity adjustment plan data is imported, and the static value of the airspace unit capacity, the airspace unit capacity adjustment value and the airspace unit adjustment value action time range in the capacity adjustment plan data are extracted to determine whether the feedback of the capacity adjustment is normal: When any of the above two conditions is met: "a. airspace unit capacity adjustment value = airspace unit capacity static value; b. airspace unit adjustment value effective time range ∩ event time range = 0", the feedback of capacity adjustment after the event is deemed abnormal, and the event notification time corresponding to this event is recorded as review issue A.

[0014] Furthermore, the system is also provided with a decision time confirmation module, into which the capacity adjustment plan data and the traffic forecast data are imported, the airspace unit capacity adjustment value, the action time range of the airspace unit capacity adjustment value and the airspace unit capacity adjustment time in the capacity adjustment plan data are extracted, as well as the traffic forecast value and the traffic forecast action time in the traffic forecast data, and the time when the traffic measures are needed is judged: Compare the traffic forecast values ​​at all times with the airspace unit capacity adjustment values ​​one by one. If the traffic forecast value > the airspace unit capacity adjustment value, the airspace unit capacity adjustment moment corresponding to the traffic forecast being lower than the capacity adjustment value will be recorded as the moment requiring traffic measures.

[0015] Furthermore, the system is also provided with a flow measure detection module, which imports capacity adjustment plan data and required flow measure time into the flow measure detection module, extracts the effective time range of the airspace unit capacity adjustment value and the airspace unit capacity adjustment time in the capacity adjustment plan data.

[0016] Further, the flow measure detection module extracts the time when flow measures are needed, the time when measures are formulated and the time when measures are effective from the flow measure detection module; and determines whether the flow measure formulation is normal: When the condition that the time when flow measures are required ∩ the time period of action of measures = 0 is met, the flow measures are determined to be abnormal; Retrieve the airspace unit capacity adjustment moments corresponding to all abnormal moments requiring traffic measures, and record them as review issue item B.

[0017] Furthermore, the system is also provided with a measure formulation timeliness detection module, into which the flow management measure formulation data is imported, and the flow management measure formulation data is extracted, including the flow measure formulation time, the flow measure start time and the timeliness evaluation criteria; and whether all flow measure formulation times are normal: When the condition that the flow measure formulation time + timeliness evaluation standard > flow measure start time is met, the flow measure formulation time is determined to be abnormal, and all abnormal flow measure formulation times are retrieved and recorded as review issue item C.

[0018] Furthermore, the system is also provided with a traffic management problem export module, into which review problem item A, review problem item B and review problem item C are imported, and review problem item A, review problem item B and review problem item C are listed and displayed, so as to help decision makers lock in the decision-making error information hidden in the data.

[0019] In order to achieve the above object, in a second aspect, the present invention provides an air traffic flow management review system based on data analysis, comprising: A database configured to store data imported from an external system; A data processing module configured to classify the imported data into information data and evaluation criteria; A capacity adjustment detection module is configured to extract data related to the capacity adjustment value of the airspace unit and determine whether the feedback of the capacity adjustment is normal; A decision time confirmation module is configured to extract traffic forecast data and determine the time when traffic measures are needed; The flow measure detection module is configured to extract flow measure related data and determine whether the flow measure formulation is normal; The measure formulation timeliness detection module is configured to extract the flow management measure formulation data and determine whether the formulation time of all flow measures is normal; The traffic management problem export module is configured to list and display the review problems and identify the decision-making errors hidden in the data for the decision makers, and / or the data management review module automatically identifies the review time point; and The information display module is configured to display information according to the review time point and visualization display scheme selected by the user.

[0020] Compared with the prior art, the technical advantages of the air traffic flow management review method and system based on data analysis provided by the present invention are at least reflected in: 1. In addition to traditional data such as meteorological system data, equipment status, and human resource environment, the original data used in the traffic management review also includes key data information generated during the traffic management process. In addition, the main object of the review is closer to the process of air traffic flow management, and multiple links that may affect the effect of traffic management are analyzed, so that the experience and lessons of traffic management implementation cases can be learned more specifically.

[0021] 2. It can more easily reproduce the capacity assessment, capacity flow monitoring, timing of traffic management measures, measure targets, traffic forecast accuracy, flight execution and other information generated by decision makers during historical operation, so as to help decision makers analyze the problems in historical traffic management work after operation, and assist future traffic management students to analyze and learn from historical cases.

[0022] 3. It has improved the traditional manual review method of finding problems, which to a certain extent reduces the problem of problems that cannot be exposed due to human memory errors or deliberate concealment of errors, and increases the efficiency of air traffic flow management review to find operational errors. BRIEF DESCRIPTION OF THE DRAWINGS

[0023] Obviously, the drawings described below are some embodiments of the present invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without any creative work.

[0024] Figure 1 It is a flowchart of an air traffic flow management review method based on data analysis provided by an embodiment of the present invention; Figure 2 is a working flow diagram of a capacity adjustment detection module provided in an embodiment of the present invention; Figure 3 is a work flow chart of a decision time confirmation module provided according to an embodiment of the present invention; Figure 4 is a workflow diagram of a flow measure detection module provided according to an embodiment of the present invention; Figure 5 It is a work flow chart of a timeliness detection module for formulating measures provided in an embodiment of the present invention; Figure 6 It is a specific implementation flow chart of an air traffic flow management review method based on data analysis provided by an embodiment of the present invention. DETAILED DESCRIPTION

[0025] The purpose of air traffic flow management is to limit the number of aircraft operating in each airspace in the sky to within the predetermined airspace carrying capacity limit per unit time. After the implementation of air traffic flow management, it is necessary to conduct a post-analysis of the flow management process, find the experience of successful decisions or the lessons of failed decisions in the analysis, and provide support for future decisions. The original data used in the current review does not include capacity assessment, capacity and flow monitoring, flow management measures and other data. It is difficult to help decision makers find problems in capacity assessment, capacity and flow monitoring, the timing of formulating flow management measures, measure goals, flow forecast accuracy, flight execution and other links after operation, so that when users use the system to review flow management, it is difficult to find the reasons for the success or failure of flow management work based on the presented results.

[0026] Based on this, the present invention provides an air traffic flow management review method and system based on data analysis. The system includes a database, an information display module and multiple data management review modules. During the review process, the data source of the external system is imported and saved in the database, the user confirms the review time period, and all the data of the review time period is retrieved from the database to form a data packet of the review time period; then the user selects the review time point, and the collected information is displayed according to the selected review time point and visualization display scheme; further, the user changes the review time point in real time, and the data of the review time point changed by the user is visualized.

[0027] The technical solution of the present invention will be described clearly and completely below in conjunction with the accompanying drawings. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0028] like Figures 1 to 5 As shown, the present invention provides an air traffic flow management review system based on data analysis, including the following database, information display module and multiple data management review modules:

[0029] like Figure 1 As shown, the air traffic flow management review method based on data analysis using the provided system includes the following steps: S100. Save the data source of the external system in the database within the system, including weather forecast information, actual weather information, telegram information, capacity information, traffic forecast information, traffic management strategy formulation information and flight operation information; S200. The user confirms the review time period; S300. Retrieve all data of the review time period from the database to form a data packet of the review time period; S400. The user selects a time point for review; S500. Display the collected information according to the review time point and visualization display scheme selected by the user, including weather forecast information, actual weather information, telegram information, capacity information, traffic forecast information, traffic management strategy formulation information and flight operation information; S600. The user changes the review time point in real time, and / or the data management review module automatically identifies and decides the review time point; S700. Visually display the review time point data after the user changes it.

[0030] Through this air traffic flow management review method and system, data strongly related to air traffic flow management, such as weather forecast information, actual weather information, telegraph information, capacity information, traffic prediction information, traffic management strategy formulation information, and flight operation information, are reproduced to assist decision makers in conducting post-analysis of traffic management work.

[0031] The following is an introduction to each functional module of each system:

[0032] The system is equipped with a data processing module, through which data classification is performed: a. Decision-making intelligence data, including event notification time and event action time; b. air traffic capacity data, including data on capacity adjustment plans; c. air traffic flow data, including traffic forecast data; d. Traffic management measures formulation data, including the time when the traffic measures were formulated, the time period during which the traffic measures were effective, and the time when the traffic measures started; e. Timeliness criteria.

[0033] In addition to traditional data such as meteorological system data, equipment status, and human resource environment, the original data used in the traffic management review also includes key data information generated during the traffic management process. In addition, the main object of the review is closer to the process of air traffic flow management, and multiple links that may affect the effect of traffic management are analyzed, so that the experience and lessons of traffic management implementation cases can be learned more specifically.

[0034] like Figure 2 As shown, the system is equipped with a capacity adjustment detection module, which is implemented through the following process during the replay management:

[0035] S230. Perform the following judgment algorithm: a. Airspace unit capacity adjustment value = airspace unit capacity static value; b. The time range of the airspace unit adjustment value ∩ the event time range = 0; If any of the above two conditions is met, the feedback of capacity adjustment after the event is considered abnormal; S240. The event notification time corresponding to this event is recorded as review issue item A.

[0036] Based on the provided capacity adjustment detection module, the data generated by the air traffic flow management work (such as capacity assessment, capacity and flow monitoring, and flow management measures formulation) mentioned in the ICAO document "Doc.9971-CH 3rd2018--Collaborative Air Traffic Flow Management Manual (ATFM)" and the domestic regulations "Civil Aviation Air Traffic Flow Management Regulations AP-93-TM-2023-01" are analyzed, which is more in line with the requirements of the post-analysis stage of flow management in international and domestic regulations.

[0037] In addition, it can be easier to reproduce the capacity assessment, capacity flow monitoring, timing of traffic management measures, measure goals, traffic forecast accuracy, flight execution and other information generated by decision makers during historical operations, so as to help decision makers analyze the problems in historical traffic management work after operation, and assist future traffic management students to analyze and learn from historical cases.

[0038] like Figure 3 As shown, the system sets up a decision time confirmation module, and performs the following operations during the replay management process:

[0039] Based on the decision time confirmation module provided, the decision time can be accurately confirmed, further improving the accuracy of review management.

[0040] like Figure 4 As shown, the system is equipped with a flow measurement detection module, which is implemented in the replay management process through the following process:

[0041] Based on the provided flow measure detection module, through the analysis of the above information, it is possible to automatically lock the nodes with problems on the day of flow management operation, summarize the insufficient information during the operation period, and conduct a quality assessment of air traffic management decisions, thereby providing improvement suggestions for future decisions.

[0042] like Figure 5 As shown in the figure, the system is equipped with a timeliness detection module for measures. The workflow in the review management process is as follows:

[0043] Formulating a timeliness detection module based on the measures provided can improve the timeliness of review management and enhance management efficiency.

[0044] The system is equipped with a traffic management problem export module. During the review management process, review problem item A, review problem item B and review problem item C are imported; review problems A, B and C are listed and displayed to help decision makers identify decision-making errors hidden in massive data.

[0045] The system is equipped with a historical data visualization display module. During the review management process, the user enters the review time period and collects relevant data for the review time period. The user selects the review time point, and the review ends after the data at the time point is visualized.

[0046] Based on the above embodiments, a data analysis-based air traffic flow management review system is provided, which realizes the analysis of traffic management data, automatically identifies erroneous traffic management decisions, improves the traditional manual review method of finding problems, and to a certain extent reduces the problem of problems that cannot be exposed due to human memory errors or deliberate concealment of errors, thereby increasing the efficiency of air traffic flow management review in finding erroneous actions at the operational level.

[0047] Based on the above embodiments, through the provided air traffic flow management review method and system, it is easier to reproduce the various information generated by decision makers during historical operation, help decision makers analyze the problems existing in historical traffic management work after operation, and assist future traffic management students to analyze and learn historical cases.

[0048] So far, various embodiments of the present disclosure have been described in detail. In order to avoid obscuring the concept of the present disclosure, some details known in the art are not described. Based on the above description, those skilled in the art can fully understand how to implement the technical solution disclosed here.

[0049] Although some specific embodiments of the present disclosure have been described in detail by way of examples, it should be understood by those skilled in the art that the above examples are for illustration only and are not intended to limit the scope of the present disclosure. It should be understood by those skilled in the art that the above embodiments may be modified or some technical features may be replaced by equivalents without departing from the scope and spirit of the present disclosure. The scope of the present disclosure is defined by the appended claims.

Claims

1. A method for reviewing air traffic flow management based on data analysis, characterized by: S100. Save the data sources of the external system in the database within the system, including weather forecast information, actual weather information, telegram information, capacity information, traffic forecast information, traffic management strategy formulation information and flight operation information; S200. The user confirms the review time period; S300. Retrieve all data of the review time period from the database to form a data packet of the review time period; S400. The user selects a review time point; S500. Display the collected information according to the review time point and visualization display scheme selected by the user, including weather forecast information, actual weather information, telegram information, capacity information, traffic forecast information, traffic management strategy formulation information and flight operation information; S600. The user changes the replay time point in real time; S700. Visually display the review time point data after the user changes it.

2. The air traffic flow management review method based on data analysis according to claim 1 is characterized by: The system is also provided with a data processing module, through which the collected data is classified into decision intelligence data, air traffic capacity data, air traffic flow data, flow management measures formulation data and timeliness evaluation criteria.

3. The air traffic flow management review method based on data analysis according to claim 2 is characterized by: The decision intelligence data includes event notification time and event action time, the air traffic capacity data includes capacity adjustment plan data, the air traffic flow data includes flow forecast data, and the flow management measures formulation data includes flow measure formulation time, flow measure action time period and flow measure start time.

4. The air traffic flow management review method based on data analysis according to claim 2 is characterized by: The system is also provided with a capacity adjustment detection module, into which the capacity adjustment plan data is imported, and the static value of the airspace unit capacity, the airspace unit capacity adjustment value and the airspace unit adjustment value action time range in the capacity adjustment plan data are extracted to determine whether the feedback of the capacity adjustment is normal: When the above two conditions are met: "a. The airspace unit capacity adjustment value = the airspace unit capacity static value; b. If any of the following conditions is met: "Airspace unit adjustment value action time range ∩ event time range = 0", the feedback of capacity adjustment after the event is deemed abnormal, and the event notification time corresponding to this event is recorded as a review issue.

5. The air traffic flow management review method based on data analysis according to claim 4 is characterized by: The system is also provided with a decision time confirmation module, into which the capacity adjustment plan data and the flow forecast data are imported, the airspace unit capacity adjustment value, the action time range of the airspace unit capacity adjustment value and the airspace unit capacity adjustment time in the capacity adjustment plan data, and the flow forecast value and the flow forecast action time in the flow forecast data are extracted, and the time when the flow measures are needed is judged: Compare the traffic forecast values ​​at all times with the airspace unit capacity adjustment values ​​one by one. If the traffic forecast value > the airspace unit capacity adjustment value, the airspace unit capacity adjustment moment corresponding to the traffic forecast being lower than the capacity adjustment value will be recorded as the moment requiring traffic measures.

6. The air traffic flow management review method based on data analysis according to claim 5 is characterized by: The system is also provided with a flow measure detection module, into which capacity adjustment plan data and required flow measure time are imported, and the effective time range of the airspace unit capacity adjustment value and the airspace unit capacity adjustment time in the capacity adjustment plan data are extracted.

7. The air traffic flow management review method based on data analysis according to claim 6 is characterized by: The flow measure detection module extracts the time when flow measures are needed, the time when measures are formulated and the time when measures are effective from the flow measure detection module; And determine whether the flow measures are formulated normally: When the condition that the time when flow measures are required ∩ the time period of action of measures = 0 is met, the flow measures are determined to be abnormal; Retrieve the airspace unit capacity adjustment times corresponding to all abnormal times when traffic measures are required, and record them as problem items for review.

8. The air traffic flow management review method based on data analysis according to claim 6 is characterized by: The system is also provided with a measure formulation timeliness detection module, into which the flow management measure formulation data is imported, and the flow management measure formulation data is extracted, including the flow measure formulation time, the flow measure start time and the timeliness evaluation criteria; and whether all flow measure formulation times are normal: When the condition that the flow measure formulation time + timeliness evaluation criteria > flow measure start time is met, the flow measure formulation time is determined to be abnormal, and all abnormal flow measure formulation times are retrieved and recorded as review issues.

9. The air traffic flow management review method based on data analysis according to claim 4, 7 or 8, characterized in that: The system is also provided with a traffic management problem export module, into which various review problem items are imported, and the review problem items are listed and displayed, so as to help decision makers lock in the decision-making error information hidden in the data.

10. An air traffic flow management review system based on data analysis, used for the air traffic flow management review method based on data analysis provided by any one of claims 1 to 9, characterized in that: include: A database configured to store data imported from an external system; A data processing module configured to classify the imported data into information data and evaluation criteria; A capacity adjustment detection module is configured to extract data related to the capacity adjustment value of the airspace unit and determine whether the feedback of the capacity adjustment is normal; A decision time confirmation module is configured to extract traffic forecast data and determine the time when traffic measures are needed; The flow measure detection module is configured to extract flow measure related data and determine whether the flow measure formulation is normal; The measure formulation timeliness detection module is configured to extract the flow management measure formulation data and determine whether the formulation time of all flow measures is normal; The traffic management problem export module is configured to list and display the review problems and help decision makers identify the decision-making errors hidden in the data, and / or the data management review module automatically identifies the review time point; as well as The information display module is configured to display information according to the review time point and visualization display scheme selected by the user.

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