Flight landing stage fuel consumption factor confirmation method based on flight path analysis

Abstract

The invention provides a flight landing stage fuel consumption factor confirmation method based on flight path analysis. The method comprises the following steps: obtaining a landing flight path set; for the tracks in the track set, intercepting the tracks of the tracks in the designated area; carrying out linear interpolation on the intercepted track; classifying the processed tracks according to track directions and fixed points to obtain a plurality of track flows; extracting factors such as level flight duration, level flight distance, flight duration, flight distance, entry height, average height, average speed and fuel consumption of the flight path in any flight path flow; standardizing the extracted factors; carrying out linear regression on fuel consumption by utilizing each standardized factor to obtain a coefficient of each factor; and according to each factor coefficient, factors which have important influence on fuel consumption in the descent stage in the track flow are judged. According to the method, factors which have important influences on fuel consumption in the descending stage are automatically judged from the track data, and the obtained result better conforms to the actual situation.

Description

Technical Field

[0001] This invention relates to the field of air traffic management, and in particular to a method for identifying fuel consumption factors during the landing phase of a flight based on flight path analysis. Background Technology

[0002] With the rapid development of the global air transport industry, fuel consumption has become a significant component of airline operating costs and a major source of carbon emissions. According to the International Air Transport Association (IATA), fuel costs account for 20%-30% of total airline operating costs, while the aviation industry accounts for 2%-3% of global carbon emissions. Therefore, reducing fuel consumption is not only crucial for airlines to improve economic efficiency but also an important pathway to achieving green aviation and sustainable development goals. Against this backdrop, identifying factors influencing flight fuel consumption based on flight path analysis has become a core technology for optimizing aviation operations and reducing energy consumption and emissions.

[0003] Flight path data records the complete flight process from takeoff to landing, including multi-dimensional information such as time, position, altitude, speed, and heading. This data provides a foundation for analyzing the factors influencing fuel consumption. Traditional fuel consumption analysis mainly relies on aircraft performance models and meteorological data, but ignores the impact of dynamic changes in the flight path on fuel efficiency during actual flight. For example, factors such as the straightness of the flight path, flight altitude, speed distribution, and descent strategy all significantly affect fuel consumption. This invention, through flight path data analysis, can more accurately quantify the impact of these factors, thereby providing a scientific basis for optimizing flight operations and strong support for the sustainable development of the aviation industry. Summary of the Invention

[0004] Purpose of the invention: The technical problem to be solved by the present invention is to provide a method for confirming fuel consumption factors during the landing phase of a flight based on flight path analysis, addressing the shortcomings of the existing technology.

[0005] To address the aforementioned technical problems, this invention discloses a method for confirming fuel consumption factors during the landing phase of a flight based on flight path analysis, comprising the following steps:

[0006] Step 1: For a certain airport Data set of flight paths of a certain aircraft type landing over a period of time ,in Representing the A flight path, in Remove airports with a distance of less than a threshold The tracks are used to obtain a new track dataset. ;

[0007] Step 2: For Each flight path The intercepted track is obtained by capturing its trajectory within a specified area. The specified area is centered on the landing airport reference point, and the threshold value is... A circle with radius 1;

[0008] Step 3: For each intercepted track Linear interpolation yields the flight path. ;

[0009] Step 4: For each track The tracks are classified according to the direction of the landing runway and the fixed points along the route; combining the runway direction classification and the fixed point classification, the tracks are divided into several track flows.

[0010] Step 5: Select any one of the several track flows as the current track flow, and extract factors such as level flight time and level flight distance for each track in the current track flow;

[0011] Step 6: For each track in the current track flow, extract its flight duration, flight distance, entry altitude, average altitude, average speed, and fuel consumption.

[0012] Step 7: Under the current flight path, standardize the factors extracted above, and based on the standardized factors, perform linear regression on fuel consumption to obtain the coefficients of each factor;

[0013] Step 8: Based on the coefficients of each factor, determine the factors affecting fuel consumption during the descent phase in this flight path flow;

[0014] Step 9: Select the appropriate descent strategy for the flight based on the factors affecting fuel consumption during the descent phase.

[0015] In step 1, a new track dataset is obtained. The process is as follows: traverse the track dataset , , of which trackpoints Represented by a vector, Indicates the number of waypoints. , In vectors Indicates the time (in seconds) at the current waypoint. Indicates the latitude (degrees) of the preceding track point. Indicates the longitude (in degrees) of the preceding track point. Indicates the altitude (in feet) of the previous track point. Indicates the speed (knots) at the forward track point. The heading angle (in degrees) of the forward track point. Indicates the fuel consumption rate (kg / s) at the forward track point. Indicates the departure airport of the current flight path, and , Indicates the time of the next waypoint, for a waypoint According to its departure airport and landing airport The latitude and longitude of the airport reference point and The distance between the two airports is calculated using the Haversine formula. If the distance between the takeoff and landing airports is greater than a threshold... ( (Recommended value 150 nautical miles), then the track join in Otherwise, do not join, and receive ;

[0016] In step 2, the flight path is intercepted. The trajectory process within the designated area is as follows:

[0017] Step 2-1, setting , ;in, This represents the start time of the intercept. Representing the flight path The time of the first waypoint;

[0018] Step 2-2, if If not, proceed to steps 2-4; otherwise, obtain waypoints. horizontal coordinates The Haversine formula is used to calculate its relationship with the landing airport reference point. The distance between them, if the distance is less than or equal to the threshold Then let Proceed to steps 2-4;

[0019] Steps 2-3, let Proceed to step 2-2;

[0020] Steps 2-4: Iterate through the waypoints sequentially. , ,reserve Greater than or equal to Waypoints .

[0021] In step 3, the linear interpolation process is as follows:

[0022] Step 3-1, if Then insert For the p-th inserted track point... , Indicates waypoints The parameters within the vector: , , ,in ;

[0023] Step 3.2, if If so, interpolation is not required;

[0024] Step 3.3, Track After interpolation of the waypoints, each waypoint is set according to its current time. Sort in ascending order to obtain , Indicates the flight path The sum of the total number of tracking points and the total number of interpolation points.

[0025] In step 4, the classification is based on the direction of the landing runway, and the process is as follows:

[0026] Step 4-1-1, the landing airport Each runway direction is numbered. , Representing the One runway direction;

[0027] Step 4-1-2, retrieve the track reciprocal Calculate the average of the heading angles of each waypoint. ; The recommended value is 5;

[0028] Step 4-1-3: Calculate the average heading angle. and the direction of the runway The difference: , ;

[0029] Step 4-1-4: Obtain the number corresponding to the minimum difference. ,but The runway direction classification label is , recorded as

[0030] In step 4, the classification is based on the fixed points along the route. The process is as follows:

[0031] Step 4-2-1, the landing airport Fixed point numbering, , Indicates the first One fixed point;

[0032] Step 4-2-2: Calculate the tracks respectively. Distances to each fixed point: ,in This represents the distance between two points calculated using the Haversine formula.

[0033] Step 4-2-3: Obtain the number corresponding to the minimum distance. ,but The fixed point classification label is , recorded as

[0034] Step 4, the process of dividing the track into several track flows, is as follows: Divide the track into... A trajectory flow, for trajectory flow It contains runway direction classification labels as And the fixed point classification label is The flight path, that is , recorded as .

[0035] In step 5, the level flight time and level flight distance are extracted. The process is as follows:

[0036] Step 5-1, for the track flow The flight path Extract its height component. ;

[0037] Step 5-2: Perform a difference analysis on the height component to obtain the difference. ,in ;

[0038] Step 5-3, adjust the level flight duration Level flight distance , ;

[0039] Step 5-4, if If so, proceed to steps 7-6; otherwise, if ,but , ,in This represents the distance between two waypoints calculated using the Haversine formula. This represents the threshold value, with a recommended value of 2.5.

[0040] Step 5-5, Proceed to step 7-4;

[0041] Steps 5-6, obtain the flight track Level flight duration Peaceful Flight Distance ;

[0042] Steps 5-7, traversal ,get Group level flight duration Peaceful Flight Distance , .

[0043] In step 6, the flight duration, flight distance, entry altitude, average altitude, average speed, and fuel consumption are extracted, specifically as follows:

[0044] For track flow The flight path Flight duration Flight distance ; Entering altitude ;average height Average speed Fuel consumption ;

[0045] Traversing the Stream ,get Flight duration Flight distance , Entering altitude ,average height Average speed and fuel consumption , .

[0046] The process of factor standardization in step 7 is as follows: for the track A certain factor , The standardized value is ,in , ,track The standardized factors are denoted as .

[0047] In step 7, linear regression of fuel consumption is performed to obtain the coefficients of each factor. The process is as follows:

[0048] Step 7-1, for the track flow All the flight paths in the middle were obtained Group standardized factors and combine them into a matrix and vector ,

[0049] ,

[0050] Step 7-2: Calculate the coefficients of each factor. , .

[0051] In step 8, based on the coefficients of each factor, the factors that have a significant impact on fuel consumption during the descent phase are identified. The process involves taking the absolute value of each factor coefficient; if the absolute value is greater than a threshold... The corresponding factors are those that have a significant impact on fuel consumption during the descent phase. The recommended value is 0.1.

[0052] Beneficial effects:

[0053] Based on flight path data from an airport over a period of time, this invention automatically identifies factors that significantly impact fuel consumption during the descent phase, providing a scientific basis for optimizing flight operations and airport airspace structure. By precisely quantifying the correlation between dynamic flight path characteristics and fuel consumption, this invention identifies key factors influencing fuel consumption, thereby providing scientific data support for optimizing airspace structure, adjusting flight attitude, and improving descent strategies. Ultimately, this reduces unnecessary fuel consumption and helps the aviation industry achieve its energy conservation, emission reduction, and sustainable development goals. Attached Figure Description

[0054] Figure 1 This is a flowchart of the present invention.

[0055] Figure 2 This is a horizontal cross-sectional view of the landing flight track at an airport, which is an embodiment of the present invention.

[0056] Figure 3 This is a horizontal cross-sectional view of a flight path flow in an embodiment of the present invention.

[0057] Figure 4 This is a comparison chart of fuel consumption obtained by regression analysis of three key factors and actual fuel consumption in an embodiment of the present invention. Detailed Implementation

[0058] A method for identifying fuel consumption factors during flight landing based on flight path analysis includes the following steps:

[0059] Step 1: For a certain airport Data set of flight paths of a certain aircraft type landing over a period of time ,in Representing the A flight path, in Remove airports with a distance of less than a threshold The tracks are used to obtain a new track dataset. ;

[0060] Step 2: For Each flight path The intercepted track is obtained by capturing its trajectory within a specified area. The specified area is centered on the landing airport reference point, and the threshold value is... A circle with radius 1;

[0061] Step 3: For each intercepted track Linear interpolation yields the flight path. ;

[0062] Step 4: For each track The tracks are classified according to the direction of the landing runway and the fixed points along the route; combining the runway direction classification and the fixed point classification, the tracks are divided into several track flows.

[0063] Step 5: Select any one of the several track flows as the current track flow, and extract factors such as level flight time and level flight distance for each track in the current track flow;

[0064] Step 6: For each track in the current track flow, extract its flight duration, flight distance, entry altitude, average altitude, average speed, and fuel consumption.

[0065] Step 7: Under the current flight path, standardize the factors extracted above, and based on the standardized factors, perform linear regression on fuel consumption to obtain the coefficients of each factor;

[0066] Step 8: Based on the coefficients of each factor, determine the factors affecting fuel consumption during the descent phase in this flight path flow;

[0067] Step 9: Select the appropriate descent strategy for the flight based on the factors affecting fuel consumption during the descent phase.

[0068] In step 1, a new track dataset is obtained. The process is as follows: traverse the track dataset , , of which trackpoints Represented by a vector, Indicates the number of waypoints. , In vectors Indicates the time (in seconds) at the current waypoint. Indicates the latitude (degrees) of the preceding track point. Indicates the longitude (in degrees) of the preceding track point. Indicates the altitude (in feet) of the previous track point. Indicates the speed (knots) at the forward track point. The heading angle (in degrees) of the forward track point. Indicates the fuel consumption rate (kg / s) at the forward track point. Indicates the departure airport of the current flight path, and , Indicates the time of the next waypoint, for a waypoint According to its departure airport and landing airport The latitude and longitude of the airport reference point and The distance between the two airports is calculated using the Haversine formula. If the distance between the takeoff and landing airports is greater than a threshold... ( (Recommended value 150 nautical miles), then the track join in Otherwise, do not join, and receive .

[0069] In step 2, the flight path is intercepted. The trajectory process within the designated area is as follows:

[0070] Step 2-1, setting , ;in, This represents the start time of the intercept. Representing the flight path The time of the first waypoint;

[0071] Step 2-2, if If not, proceed to steps 2-4; otherwise, obtain waypoints. horizontal coordinates The Haversine formula is used to calculate its relationship with the landing airport reference point. The distance between them, if the distance is less than or equal to the threshold Then let Proceed to steps 2-4;

[0072] Steps 2-3, let Proceed to step 2-2;

[0073] Steps 2-4: Iterate through the waypoints sequentially. , ,reserve Greater than or equal to Waypoints .

[0074] In step 3, the linear interpolation process is as follows:

[0075] Step 3-1, if Then insert For the p-th inserted track point... , Indicates waypoints The parameters within the vector: , , ,in ;

[0076] Step 3.2, if If so, interpolation is not required;

[0077] Step 3.3, Track After interpolation of the waypoints, each waypoint is set according to its current time. Sort in ascending order to obtain , Indicates the flight path The sum of the total number of tracking points and the total number of interpolation points.

[0078] In step 4, the classification is based on the direction of the landing runway, and the process is as follows:

[0079] Step 4-1-1, the landing airport Each runway direction is numbered. , Representing the One runway direction;

[0080] Step 4-1-2, retrieve the track reciprocal Calculate the average of the heading angles of each waypoint. ; The recommended value is 5;

[0081] Step 4-1-3: Calculate the average heading angle. and the direction of the runway The difference: , ;

[0082] Step 4-1-4: Obtain the number corresponding to the minimum difference. ,but The runway direction classification label is , recorded as

[0083] In step 4, the classification is based on the fixed points along the route. The process is as follows:

[0084] Step 4-2-1, the landing airport Fixed point numbering, , Indicates the first One fixed point;

[0085] Step 4-2-2: Calculate the tracks respectively. Distances to each fixed point: ,in This represents the distance between two points calculated using the Haversine formula.

[0086] Step 4-2-3: Obtain the number corresponding to the minimum distance. ,but The fixed point classification label is , recorded as

[0087] Step 4, the process of dividing the track into several track flows, is as follows: Divide the track into... A trajectory flow, for trajectory flow It contains runway direction classification labels as And the fixed point classification label is The flight path, that is , recorded as .

[0088] In step 5, the level flight time and level flight distance are extracted. The process is as follows:

[0089] Step 5-1, for the track flow The flight path Extract its height component. ;

[0090] Step 5-2: Perform a difference analysis on the height component to obtain the difference. ,in ;

[0091] Step 5-3, adjust the level flight duration Level flight distance , ;

[0092] Step 5-4, if If so, proceed to steps 7-6; otherwise, if ,but , ,in This represents the distance between two waypoints calculated using the Haversine formula. This represents the threshold value, with a recommended value of 2.5.

[0093] Step 5-5, Proceed to step 7-4;

[0094] Steps 5-6, obtain the flight track Level flight duration Peaceful Flight Distance ;

[0095] Steps 5-7, traversal ,get Group level flight duration Peaceful Flight Distance , .

[0096] In step 6, the flight duration, flight distance, entry altitude, average altitude, average speed, and fuel consumption are extracted, specifically as follows:

[0097] For track flow The flight path Flight duration Flight distance ; Entering altitude ;average height Average speed Fuel consumption ;

[0098] Traversing the Stream ,get Flight duration Flight distance , Entering altitude ,average height Average speed and fuel consumption , .

[0099] The process of factor standardization in step 7 is as follows: for the track A certain factor , The standardized value is ,in , ,track The standardized factors are denoted as .

[0100] In step 7, linear regression of fuel consumption is performed to obtain the coefficients of each factor. The process is as follows:

[0101] Step 7-1, for the track flow All the flight paths in the middle were obtained Group standardized factors and combine them into a matrix and vector ,

[0102] ,

[0103] Step 7-2: Calculate the coefficients of each factor. , .

[0104] In step 8, based on the coefficients of each factor, the factors that have a significant impact on fuel consumption during the descent phase are identified. The process involves taking the absolute value of each factor coefficient; if the absolute value is greater than a threshold... The corresponding factors are those that have a significant impact on fuel consumption during the descent phase. The recommended value is 0.1.

[0105] In this embodiment, combined with Figures 2 to 4 The invention is further illustrated through simulation experiments and their effect evaluation.

[0106] In this embodiment, Figure 2 The image shows a horizontal profile of the landing flight path at an airport, where the path is divided into several path flows. Figure 3 The figure shows a horizontal cross-sectional view of a certain track flow obtained after processing according to the method of the present invention. It can be seen that the tracks in the figure are relatively concentrated and the landing directions are consistent. Figure 4 This is a comparison chart of fuel consumption obtained by regression analysis of three key factors determined by this invention and actual fuel consumption. The vertical axis of the points in the chart represents the fuel consumption obtained by regression analysis of the key factors, and the horizontal axis represents the actual fuel consumption. It can be seen that the points in the chart are basically distributed on the diagonal (dotted line), indicating that the fuel consumption obtained by regression analysis is basically consistent with the actual fuel consumption, thus demonstrating that the factors determined by this invention have an important impact on fuel consumption.

[0107] This invention addresses the problem of traditional methods' inability to accurately pinpoint the impact of actual operations on fuel consumption by focusing on the correlation analysis between dynamic characteristics of flight paths and fuel consumption. In specific scenarios such as high-density arrivals and departures and terminal area descents, it provides pilots, air traffic controllers, and airlines with "operable and quantifiable" fuel optimization criteria, directly helping the aviation industry reduce fuel costs and carbon emissions, and promoting the development of air transport towards a green and efficient direction.

[0108] The specific scenario in this embodiment is terminal area descent: During the descent, the pilot can choose different descent strategies:

[0109] 1) The flight descended in a stepped manner. Due to multiple level flight adjustments, the descent flight time was 2191 seconds, the average speed was 300 knots, the average altitude was 11610 feet, the entry altitude was 20817 feet, the level flight distance was 109 kilometers, the level flight time was 599 seconds, and the descent flight distance was 350 kilometers.

[0110] 2) Continuous descent. The flight's descent duration was 1740 seconds, with an average speed of 330 knots, an average altitude of 13091 feet, an entry altitude of 27588 feet, a level flight distance of 0 kilometers, a level flight duration of 0 seconds, and a descent distance of 313 kilometers.

[0111] According to the steps of this invention, the coefficients of each factor are calculated as follows: descent flight time 0.96, average speed 0.51, average altitude -0.05, entry altitude -0.17, level flight distance 0.03, level flight time 0.01, and descent flight distance 0.07. Therefore, the descent flight time coefficient has the largest absolute value and has a significant impact on flight fuel consumption. Pilots can choose a more efficient descent strategy based on this, namely continuous descent. Ultimately, continuous descent fuel consumption is 744 kg, which is less than the 1102 kg of step descent, saving 358 kg of fuel.

[0112] This invention provides a method for confirming fuel consumption factors during the landing phase of a flight based on flight path analysis. Many methods and approaches exist for implementing this technical solution; the above description is merely a preferred embodiment of the invention. It should be noted that those skilled in the art can make various improvements and modifications without departing from the principles of this invention, and these improvements and modifications should also be considered within the scope of protection of this invention. All components not explicitly stated in this embodiment can be implemented using existing technologies.

Claims

1. A method for identifying fuel consumption factors during flight landing based on flight path analysis, characterized in that, Includes the following steps: Step 1: For a certain airport Data set of flight paths of a certain aircraft type landing over a period of time ,in Representing the A flight path, in Remove airports with a distance of less than a threshold The tracks are used to obtain a new track dataset. ; Step 2: For Each flight path The intercepted track is obtained by capturing its trajectory within a specified area. The specified area is centered on the landing airport reference point, and the threshold value is... A circle with radius 1; Step 3: For each intercepted track Linear interpolation yields the flight path. ; Step 4: For each track The tracks are classified according to the direction of the landing runway and the fixed points along the route; combining the runway direction classification and the fixed point classification, the tracks are divided into several track flows. Step 5: Select any one of the several track flows as the current track flow, and extract the level flight time and level flight distance factors for each track in the current track flow; Step 6: For each track in the current track flow, extract its flight duration, flight distance, entry altitude, average altitude, average speed, and fuel consumption factors; Step 7: Under the current flight path, standardize the factors extracted above, and based on the standardized factors, perform linear regression on fuel consumption to obtain the coefficients of each factor; Step 8: Based on the coefficients of each factor, determine the factors affecting fuel consumption during the descent phase in this flight path flow; Step 9: Select the appropriate descent strategy for the flight based on the factors affecting fuel consumption during the descent phase.

2. The method for confirming fuel consumption factors during flight landing phase based on flight path analysis according to claim 1, characterized in that, In step 1, a new track dataset is obtained. The process is as follows: traverse the track dataset , , of which trackpoints Represented by a vector, Indicates the number of waypoints. , In vectors Indicates the time of the current waypoint, Indicates the latitude of the previous track point, Indicates the longitude of the preceding track point, Indicates the altitude of the preceding track point, Indicates the speed of the previous track point, The heading angle representing the forward track point, Indicates the fuel consumption rate of the preceding track point, Indicates the departure airport of the current flight path, and , Indicates the time of the next waypoint, for a waypoint According to its departure airport and landing airport The latitude and longitude of the airport reference point and The distance between the two airports is calculated using the Haversine formula. If the distance between the takeoff and landing airports is greater than a threshold... Then the flight path join in ; Otherwise, don't join, get .

3. The method for confirming fuel consumption factors during flight landing phase based on flight path analysis according to claim 2, characterized in that, In step 2, the flight path is intercepted. The trajectory process within the designated area is as follows: Step 2-1, setting , ;in, This represents the start time of the intercept. Representing the flight path The time of the first waypoint; Step 2-2, if If not, proceed to steps 2-4; otherwise, obtain waypoints. horizontal coordinates It uses the Haversine formula to calculate its relationship with the landing airport reference point. The distance between them, if the distance is less than or equal to the threshold Then let Proceed to steps 2-4; Steps 2-3, let Proceed to step 2-2; Steps 2-4: Iterate through the waypoints sequentially. , ,reserve Greater than or equal to Waypoints .

4. The method for confirming fuel consumption factors during flight landing phase based on flight path analysis according to claim 3, characterized in that, In step 3, the linear interpolation process is as follows: Step 3-1, if Then insert For the p-th inserted waypoint... , Indicates waypoints The parameters within the vector: , , ,in ; Step 3.2, if If so, interpolation is not required; Step 3.3, Track After interpolation of the waypoints, each waypoint is set according to its current time. Sort in ascending order to obtain , Indicates the flight path The sum of the total number of tracking points and the total number of interpolation points.

5. The method for confirming fuel consumption factors during flight landing phase based on flight path analysis according to claim 4, characterized in that, In step 4, the classification is based on the direction of the landing runway, and the process is as follows: Step 4-1-1, the landing airport Each runway direction is numbered. , Representing the One runway direction; Step 4-1-2, retrieve the track reciprocal Calculate the average of the heading angles of each waypoint. ; Step 4-1-3: Calculate the average heading angle. and the direction of the runway The difference: , ; Step 4-1-4: Obtain the number corresponding to the minimum difference. ,but The runway direction classification label is , recorded as .

6. The method for confirming fuel consumption factors during flight landing phase based on flight path analysis according to claim 5, characterized in that, In step 4, the classification is based on the fixed points along the route. The process is as follows: Step 4-2-1, the landing airport Fixed point numbering, , Indicates the first One fixed point; Step 4-2-2: Calculate the tracks respectively. Distances to each fixed point: ,in This represents the distance between two points calculated using the Haversine formula. Step 4-2-3: Obtain the number corresponding to the minimum distance. ,but The fixed point classification label is , recorded as 7. The method for confirming fuel consumption factors during flight landing phase based on flight path analysis according to claim 6, characterized in that, Step 4, the process of dividing the track into several track flows, is as follows: Divide the track into... A trajectory flow, for trajectory flow It contains runway direction classification labels as And the fixed point classification label is The flight path, that is , recorded as .

8. The method for confirming fuel consumption factors during flight landing phase based on flight path analysis according to claim 7, characterized in that, In step 5, the level flight time and level flight distance are extracted. The process is as follows: Step 5-1, for the track flow The flight path Extract its height component. ; Step 5-2: Perform a difference analysis on the height component to obtain the difference. ,in ; Step 5-3, adjust the level flight duration Level flight distance , ; Step 5-4, if If so, proceed to steps 7-6; otherwise, if ,but , ,in This represents the distance between two waypoints calculated using the Haversine formula. Represents a threshold; Step 5-5, Proceed to step 7-4; Steps 5-6, obtain the flight track Level flight duration Peaceful Flight Distance ; Steps 5-7, traversal ,get Group level flight duration Peaceful Flight Distance , .

9. The method for confirming fuel consumption factors during flight landing phase based on flight path analysis according to claim 8, characterized in that, In step 6, the flight duration, flight distance, entry altitude, average altitude, average speed, and fuel consumption are extracted, specifically as follows: For track flow The flight path Flight duration Flight distance ; Entering altitude ;average height Average speed Fuel consumption ; Traversing the Stream ,get Flight duration Flight distance , Entering altitude ,average height Average speed and fuel consumption , .

10. The method for confirming fuel consumption factors during flight landing phase based on flight path analysis according to claim 9, characterized in that, The process of factor standardization in step 7 is as follows: for the track A certain factor , The standardized value is ,in , ,track The standardized factors are denoted as .

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