A method and system for identifying flight taxiing status based on speed change characteristic diagram

Abstract

The present invention discloses a flight taxiing state identification method and system based on a speed change characteristic diagram, which belongs to the field of aviation traffic control technology, including: S1, data collection: obtaining flight speed data from the aircraft's ADS-B data or inter-field radar system; S2, generating a speed change characteristic diagram: arranging the speed data in chronological order, and performing smoothing to generate a speed change characteristic diagram; S3, identifying the queue state: detecting a point of speed oscillation before takeoff in the speed change characteristic diagram; S4, identifying the waiting state: specifically including conflict waiting state identification and non-conflicting waiting state identification; S5, state output: outputting the identified flight state information to the ground traffic management system in the form of a chart to assist scheduling decisions and optimize airport ground operations. The present invention is based on the speed change characteristic diagram, and aims to improve the efficiency and accuracy of airport ground traffic management by more accurately identifying the taxiing state of the flight.

Description

Technical Field

[0001] The present invention belongs to the technical field of air traffic control, and in particular relates to a method and system for identifying the taxiing state of a flight based on a speed change characteristic diagram. Background Art

[0002] Against the backdrop of the rapid development of the civil aviation industry, air traffic volume is showing a trend of sustained growth. This growth trend places higher demands on airport operations, forcing airports to seek ways to increase operating capacity while strictly abiding by safety regulations. As a key link in airport operations, airport ground traffic management is of great importance. This link involves close cooperation among multiple entities, including but not limited to aviation operators, airport managers, and ground service providers. In such a complex environment of multi-party participation and collaboration, effective collaboration becomes crucial, which is directly related to the efficiency and effectiveness of airport ground traffic management.

[0003] At present, existing technologies mainly rely on monitoring the position and speed of flights to identify the status of flights. However, this method has certain limitations because it often cannot accurately distinguish different types of waiting states. For example, the three states of queuing waiting, conflict waiting, and non-conflict waiting may be confused in actual operations, resulting in inaccurate and in-time management decisions. In view of this, the present application is committed to developing an innovative flight taxiing state identification method and system based on speed change characteristic diagrams. This technical solution is based on speed change characteristic diagrams and aims to improve the efficiency and accuracy of airport ground traffic management by more accurately identifying the taxiing state of flights. With this method, we hope to better cope with the growing air traffic volume and ensure the smoothness and safety of airport ground traffic. Summary of the invention

[0004] The purpose of the present invention is to meet practical needs and provide a flight taxiing state identification method and system based on a speed change characteristic diagram. Based on the speed change characteristic diagram, different states of flights during ground operation at an airport can be identified, including queuing, conflict waiting and non-conflict waiting states.

[0005] The first object of the present invention is to provide a method for identifying a flight taxiing state based on a speed change characteristic diagram, comprising:

[0006] S1. Data collection: obtain flight speed data from the aircraft's ADS-B data or the airport radar system;

[0007] S2, generating a speed change characteristic diagram: arranging the speed data in chronological order and performing smoothing processing to generate a speed change characteristic diagram;

[0008] S3, identifying the queue status: detecting a point of speed oscillation before takeoff in the speed change characteristic diagram;

[0009] S4. Identify the waiting state: classify the identified waiting state, specifically including:

[0010] Conflict waiting state identification: in the speed change characteristic diagram, it is detected that the aircraft speed drops to a valley point and remains there for a period of time. At the same time, combined with the conflict detection data in the ground traffic monitoring system, it is determined that the waiting is caused by ground traffic conflict and identified as a conflict waiting state;

[0011] Identification of non-conflict waiting state: When the aircraft speed drops to a valley point and remains there for a period of time in the speed change characteristic diagram, but there is no conflict detection data in the ground traffic monitoring system or the conflict has been resolved, it is identified as a non-conflict waiting state;

[0012] S5. Status output: The identified flight status information is output to the ground traffic management system in the form of charts to assist scheduling decisions and optimize airport ground operations.

[0013] Preferably, in S1, the real-time position data and timestamp of the flight are obtained from the ADS-B data of the aircraft or the inter-field radar system, and the speed data is obtained by calculating the distance and time interval between two adjacent points.

[0014] Preferably, the speed variation characteristic diagram includes a curve showing speed variation over time, which is used to reflect the speed variation of the flight during ground operation.

[0015] Preferably, S3 includes:

[0016] Extracting a speed data sequence from a speed variation characteristic diagram;

[0017] Calculating a moving average and a smooth curve of the speed data sequence;

[0018] Whether the vehicle is in a queue is determined by analyzing the standard deviation, fluctuation amplitude and frequency of the speed.

[0019] A second object of the present invention is to provide a flight taxiing state identification system based on a speed change characteristic diagram, comprising:

[0020] Data acquisition module: obtain flight speed data from the aircraft's ADS-B data or inter-field radar system;

[0021] Speed ​​change characteristic diagram generation module: arranges the speed data in chronological order and performs smoothing to generate a speed change characteristic diagram;

[0022] A queue state recognition module: detecting a point of speed oscillation before takeoff in the speed change characteristic diagram;

[0023] Waiting state identification module: classifies the identified waiting states, including:

[0024] A conflict waiting state identification unit: a unit for detecting that the aircraft speed drops to a valley point and remains there for a period of time in the speed change characteristic diagram, and combining the conflict detection data in the ground traffic monitoring system, determining that the waiting is caused by ground traffic conflict, and identifying it as a conflict waiting state;

[0025] Non-conflict waiting state recognition unit: when the aircraft speed is detected to drop to a valley point in the speed change characteristic diagram and maintained for a period of time, but there is no conflict detection data in the ground traffic monitoring system or the conflict has been resolved, it is recognized as a non-conflict waiting state;

[0026] Status output module: Outputs the identified flight status information in the form of charts to the ground traffic management system to assist scheduling decisions and optimize airport ground operations.

[0027] Preferably, in the data acquisition module, the real-time position data and timestamp of the flight are obtained from the ADS-B data of the aircraft or the field radar system, and the speed data is obtained by calculating the distance and time interval between two adjacent points.

[0028] Preferably, the speed variation characteristic diagram includes a curve showing speed variation over time, which is used to reflect the speed variation of the flight during ground operation.

[0029] Preferably, the queuing status identification module includes:

[0030] Extracting a speed data sequence from a speed variation characteristic diagram;

[0031] Calculating a moving average and a smooth curve of the speed data sequence;

[0032] Whether the vehicle is in a queue is determined by analyzing the standard deviation, fluctuation amplitude and frequency of the speed.

[0033] A third object of the present invention is to provide a computer-readable storage medium storing a computer program, which, when executed by a processor, implements the above-mentioned flight taxiing state identification method based on the speed change characteristic diagram.

[0034] A fourth object of the present invention is to provide a computer program product, comprising a computer program, which, when executed by a processor, implements the above-mentioned flight taxiing state identification method based on the speed change characteristic diagram.

[0035] The advantages and positive effects of this application are:

[0036] The core of the present invention is to use advanced monitoring systems, such as Automatic Dependent Surveillance-Broadcast (ADS-B) and Surface Surveillance Radar (SMR), to obtain flight speed data in real time. Through in-depth analysis of these data, the present invention can generate detailed speed change feature maps, which can clearly show the speed changes of flights in different time periods. Through these feature maps, the present invention can effectively identify and distinguish the three different states of flights during ground operations: queuing state, conflict waiting state and non-conflict waiting state.

[0037] Specifically, the present invention first determines whether the flight is in a queue state by analyzing the oscillation segment in the speed change characteristic diagram, that is, the rapid fluctuation area of ​​the speed. The queue state usually occurs when the flight is waiting to take off or land. Due to the congestion of ground traffic, the flight needs to wait near the runway. At this time, the speed change will show obvious oscillation characteristics.

[0038] Next, the present invention further combines the change in aircraft speed and the data provided by the ground traffic monitoring system to classify the waiting state in more detail. In this classification process, the present invention can distinguish between conflict waiting states and non-conflicting waiting states. The conflict waiting state usually occurs when there is a potential risk of conflict between flights. For example, when two flights approach the same runway or intersection at the same time, the ground traffic management system needs to take measures to avoid potential collision risks. The non-conflicting waiting state means that the flight is in ground operation and although it needs to wait, there is no direct risk of conflict.

[0039] Through the method provided by the present invention, the ground traffic management system can make decisions more accurately, thereby effectively reducing flight delays and improving the overall operating efficiency of the airport. This not only helps to improve the punctuality of flights, but also optimizes the ground operation process of the airport, reduces unnecessary waiting time, and thus improves the travel experience of passengers. In addition, the implementation of the present invention also helps to reduce airport operating costs and improve resource utilization efficiency, which is of great significance to the sustainable development of the aviation industry. BRIEF DESCRIPTION OF THE DRAWINGS

[0040] In order to more clearly illustrate the technical solutions in the embodiments of the present application, the drawings required for use in the description of the embodiments will be briefly introduced below. Obviously, the drawings described below are only some embodiments of the present application. For ordinary technicians in this field, other drawings can be obtained based on these drawings without creative work.

[0041] Figure 1 is a schematic diagram of a flight speed variation diagram of a preferred embodiment of the present invention;

[0042] Figure 2is a schematic diagram of queuing state identification according to a preferred embodiment of the present invention;

[0043] Figure 3 It is a schematic diagram of waiting state identification in a preferred embodiment of the present invention.

[0044] Figure 4 It is a flow chart of a preferred embodiment of the present invention. DETAILED DESCRIPTION

[0045] The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. 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.

[0046] See also Figures 1 to 4

[0047] A method for identifying a flight taxiing state based on a speed change characteristic diagram comprises the following steps:

[0048] Step 1, data collection: obtain flight data from the aircraft's ADS-B (Automatic Dependent Surveillance-Broadcast) data or other flight monitoring systems, such as the station-by-station radar system (SMR), the data including the real-time position data and timestamp of the flight, and convert it into speed data by calculating the distance and time interval between two adjacent points, so as to improve the accuracy of the flight speed data;

[0049] Step 2, speed change characteristic diagram generation: the calculated speed data is arranged in chronological order, and then smoothed to generate a more accurate speed change diagram to ensure the stability of the speed change curve; the speed change characteristic diagram of the flight is generated using the smoothed speed data, and the speed change characteristic diagram includes a curve of speed change over time; it can intuitively reflect the speed change of the flight during ground operation.

[0050] Step 3, queue status identification: by analyzing the oscillation segment before takeoff in the speed change characteristic diagram, using the standard deviation, fluctuation amplitude and frequency of the speed, the queue status of the flight can be accurately identified; in the speed change characteristic diagram before takeoff, a point of speed oscillation before takeoff is detected. The specific method includes:

[0051] A. Extract the speed data sequence from the speed variation diagram.

[0052] B. Calculate the moving average and smooth the speed data series to remove noise and outliers.

[0053] C. Identify the oscillation segments in the speed change graph and determine whether it is in a queuing state by analyzing the standard deviation, fluctuation amplitude and frequency of the speed.

[0054] Step 4, waiting state identification: Combine the data from the ground traffic monitoring system to perform conflict detection and non-conflict detection to accurately classify the waiting state of the flight as a conflict waiting state or a non-conflicting waiting state; classify the identified waiting state into a conflict waiting state and a non-conflicting waiting state. The specific method includes:

[0055] Conflict waiting state identification: In the speed change characteristic diagram, it is detected that the aircraft speed drops to the speed valley point and remains there for a period of time. At the same time, combined with the conflict detection data in the ground traffic monitoring system, it is determined that the waiting is caused by ground traffic conflicts and is identified as a conflict waiting state;

[0056] Identification of non-conflict waiting state: In the speed change characteristic diagram, if it is detected that the aircraft speed drops to the speed valley point and remains there for a period of time, but there is no conflict detection data in the ground traffic monitoring system or the conflict has been resolved, but the aircraft speed still drops to the speed valley point, it is identified as a non-conflict waiting state;

[0057] Step 5, status output: The identified flight status information is transmitted to the ground traffic management system through the interface. The status information includes the current status of the flight (queue, conflict waiting, non-conflict waiting) and related time and location data to assist scheduling decisions and optimize airport ground operations.

[0058] The specific embodiments of the present invention are described in detail below with reference to the accompanying drawings:

[0059] 1. Generate speed change characteristic diagram:

[0060] Get the speed data of a flight and draw a graph of speed versus time, such as Figure 1 shown.

[0061] 2. Identify the queue status:

[0062] exist Figure 1 In the process, the point of speed oscillation before takeoff is identified, and the first valley point is determined as the push-out point for the flight departure, such as Figure 2 shown.

[0063] 3. Identify the waiting state:

[0064] Combined with ground traffic monitoring data, Figure 1 At t3 in the figure, it is detected that the speed drops to the speed valley point, and the monitoring data shows that there is a ground conflict, which is identified as a conflict waiting state. Figure 3 shown.

[0065] At time t4, the speed drops to the speed valley point but there is no ground conflict detection, which is identified as a non-conflict waiting state. Figure 3 shown.

[0066] 4. Output status information:

[0067] The identification results are transmitted to the ground traffic management system through an interface and used to optimize scheduling and operations.

[0068] A control method for a flight taxiing state recognition system based on a speed change characteristic diagram, comprising:

[0069] Data acquisition module: obtains flight data from the aircraft's ADS-B (Automatic Dependent Surveillance-Broadcast) data or other flight monitoring systems, such as the station-by-station radar system (SMR), including the flight's real-time location data and timestamp, and converts it into speed data by calculating the distance and time interval between two adjacent points, so as to improve the accuracy of flight speed data;

[0070] Speed ​​change characteristic diagram generation module: arranges the calculated speed data in chronological order and then performs smoothing to generate a more accurate speed change diagram to ensure the stability of the speed change curve; uses the smoothed speed data to generate a flight speed change characteristic diagram, which includes a curve showing speed changes over time; and can intuitively reflect the speed changes of the flight during ground operation.

[0071] Queuing state recognition module: By analyzing the oscillation segment before takeoff in the speed change characteristic diagram, the standard deviation, fluctuation amplitude and frequency of the speed are used to accurately identify the queue state of the flight; in the speed change characteristic diagram before takeoff, a point of speed oscillation before takeoff is detected. The specific methods include:

[0072] A. Extract the speed data sequence from the speed variation diagram.

[0073] B. Calculate the moving average and smooth the speed data series to remove noise and outliers.

[0074] C. Identify the oscillation segments in the speed change graph and determine whether it is in a queuing state by analyzing the standard deviation, fluctuation amplitude and frequency of the speed.

[0075] Waiting state identification module: Combine the data of the ground traffic monitoring system to perform conflict detection and non-conflict detection to accurately classify the waiting state of the flight as a conflict waiting state or a non-conflicting waiting state; classify the identified waiting state into a conflict waiting state and a non-conflicting waiting state. The specific methods include:

[0076] Conflict waiting state identification unit: In the speed change characteristic diagram, it is detected that the aircraft speed drops to the speed valley point and remains there for a period of time. At the same time, combined with the conflict detection data in the ground traffic monitoring system, it is determined that the waiting is caused by ground traffic conflict and identified as a conflict waiting state;

[0077] Non-conflict waiting state recognition unit: In the speed change characteristic diagram, if it is detected that the aircraft speed drops to the speed valley point and remains there for a period of time, but there is no conflict detection data in the ground traffic monitoring system or the conflict has been resolved, but the aircraft speed still drops to the speed valley point, it is recognized as a non-conflict waiting state;

[0078] Status output module: The identified flight status information is transmitted to the ground traffic management system through the interface. The status information includes the current status of the flight (queue, conflict waiting, non-conflict waiting) and related time and location data. This helps in scheduling decisions and optimizing airport ground operations.

[0079] A computer-readable storage medium stores a computer program, which, when executed by a processor, implements the above-mentioned flight taxiing state identification method based on a speed change characteristic diagram.

[0080] A computer program product includes a computer program, which, when executed by a processor, implements the above-mentioned flight taxiing state identification method based on a speed change characteristic diagram.

[0081] The core of the present invention is to generate a detailed speed change characteristic diagram by collecting and analyzing the speed data of flights in different time periods. This characteristic diagram can accurately reflect the speed changes of flights at various stages, so that we can accurately identify the different states of flights, including queuing state, conflict waiting state and non-conflicting waiting state. The main purpose of this innovative technology is to provide more accurate and detailed status information to the ground traffic management system, so that ground traffic management can make decisions more efficiently and accurately.

[0082] By combining these speed change characteristic graphs with the data collected by the ground traffic monitoring system, we can classify the flight waiting status in a more detailed and scientific way. This classification not only helps us better quantify and evaluate the risks that may be faced during airport operations, but also provides more intuitive and useful information for airport dispatchers and operators, thereby optimizing their dispatching and operating strategies.

[0083] The application of the present invention significantly improves the decision-making accuracy of ground traffic management and reduces ground delays caused by inaccurate or untimely information. Through more accurate flight status identification and classification, airports can more efficiently manage the ground operations of flights, thereby significantly improving the operating efficiency of the entire airport and the travel experience of passengers. In general, the present invention has important application value and practical significance in improving the efficiency and safety of airport ground traffic management.

[0084] In the above embodiments, it can be implemented in whole or in part by software, hardware, firmware or any combination thereof. When the use is implemented in whole or in part in the form of a computer program product, the computer program product includes one or more computer instructions. When the computer program instructions are loaded or executed on a computer, the process or function described in the embodiment of the present invention is generated in whole or in part. The computer may be a general-purpose computer, a special-purpose computer, a computer network, or other programmable device. The computer instructions may be stored in a computer-readable storage medium, or transmitted from one computer-readable storage medium to another computer-readable storage medium. For example, the computer instructions may be transmitted from one website site, computer, server or data center by wired (e.g., coaxial cable, optical fiber, digital subscriber line (DSL) or wireless (e.g., infrared, wireless, microwave, etc.) mode) to another website site, computer, server or data center. The computer-readable storage medium may be any available medium that a computer can access or a data storage device such as a server or data center that includes one or more available media integrated. The available medium may be a magnetic medium (e.g., a floppy disk, a hard disk, a tape), an optical medium (e.g., a DVD), or a semiconductor medium (e.g., a solid-state hard disk SolidState Disk (SSD)), etc.

[0085] The above is only a preferred embodiment of the present invention. It should be pointed out that, for ordinary technicians in this technical field, several improvements and modifications can be made without departing from the principle of the present invention. These improvements and modifications should also be regarded as the scope of protection of the present invention.

Claims

1. A method for identifying flight taxiing status based on a speed change characteristic diagram, characterized in that: include: S1. Data collection: obtain flight speed data from the aircraft's ADS-B data or the airport radar system; S2, generating a speed change characteristic diagram: arranging the speed data in chronological order and performing smoothing processing to generate a speed change characteristic diagram; S3, identifying the queue status: detecting a point of speed oscillation before takeoff in the speed change characteristic diagram; S4. Identify the waiting state: classify the identified waiting state, specifically including: Conflict waiting state identification: in the speed change characteristic diagram, it is detected that the aircraft speed drops to a valley point and remains there for a period of time. At the same time, combined with the conflict detection data in the ground traffic monitoring system, it is determined that the waiting is caused by ground traffic conflict and identified as a conflict waiting state; Identification of non-conflict waiting state: When the aircraft speed drops to a valley point and remains there for a period of time in the speed change characteristic diagram, but there is no conflict detection data in the ground traffic monitoring system or the conflict has been resolved, it is identified as a non-conflict waiting state; S5. Status output: The identified flight status information is output to the ground traffic management system in the form of charts to assist scheduling decisions and optimize airport ground operations.

2. The method for identifying the taxiing state of a flight based on a speed change characteristic diagram according to claim 1, characterized in that: In S1, the real-time position data and timestamp of the flight are obtained from the aircraft's ADS-B data or the inter-field radar system, and the speed data is obtained by calculating the distance and time interval between two adjacent points.

3. The flight taxiing state identification method based on the speed change characteristic diagram according to claim 1, characterized in that: The speed variation characteristic diagram includes a curve showing the speed variation over time, which is used to reflect the speed variation of the flight during ground operation.

4. The method for identifying flight taxiing status based on speed change characteristic diagram according to claim 1, characterized in that: S3 includes: Extracting a speed data sequence from a speed variation characteristic diagram; Calculating a moving average and a smooth curve of the speed data sequence; Whether the vehicle is in a queue is determined by analyzing the standard deviation, fluctuation amplitude and frequency of the speed.

5. A flight taxiing state recognition system based on speed change characteristic diagram, characterized in that: include: Data acquisition module: obtain flight speed data from the aircraft's ADS-B data or inter-field radar system; Speed ​​change characteristic diagram generation module: arranges the speed data in chronological order and performs smoothing to generate a speed change characteristic diagram; A queue state recognition module: detecting a point of speed oscillation before takeoff in the speed change characteristic diagram; Waiting state identification module: classifies the identified waiting states, including: A conflict waiting state identification unit: a unit for detecting that the aircraft speed drops to a valley point and remains there for a period of time in the speed change characteristic diagram, and combining the conflict detection data in the ground traffic monitoring system, determining that the waiting is caused by ground traffic conflict, and identifying it as a conflict waiting state; Non-conflict waiting state recognition unit: when the aircraft speed is detected to drop to a valley point in the speed change characteristic diagram and maintained for a period of time, but there is no conflict detection data in the ground traffic monitoring system or the conflict has been resolved, it is recognized as a non-conflict waiting state; Status output module: Outputs the identified flight status information in the form of charts to the ground traffic management system to assist scheduling decisions and optimize airport ground operations.

6. The flight taxiing state identification system based on the speed change characteristic diagram according to claim 5, characterized in that: In the data acquisition module, the real-time position data and timestamp of the flight are obtained from the aircraft's ADS-B data or the field radar system, and the speed data is obtained by calculating the distance and time interval between two adjacent points.

7. The flight taxiing state identification system based on the speed change characteristic diagram according to claim 5, characterized in that: The speed variation characteristic diagram includes a curve showing the speed variation over time, which is used to reflect the speed variation of the flight during ground operation.

8. The flight taxiing state identification system based on the speed change characteristic diagram according to claim 5, characterized in that: The queuing status identification module comprises: Extracting a speed data sequence from a speed variation characteristic diagram; Calculating a moving average and a smooth curve of the speed data sequence; Whether the vehicle is in a queue is determined by analyzing the standard deviation, fluctuation amplitude and frequency of the speed.

9. A computer-readable storage medium storing a computer program, wherein when the program is executed by a processor, the method for identifying the taxiing state of a flight based on a speed change characteristic diagram according to any one of claims 1 to 4 is implemented.

10. A computer program product, comprising a computer program, characterized in that When the computer program is executed by a processor, the flight taxiing state identification method based on the speed change characteristic diagram described in any one of claims 1 to 4 is implemented.

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