An aircraft additional carried fuel quantity calculation method, device, equipment and medium

By calculating the additional fuel carried by the aircraft using historical flight data and cosine similarity algorithm, the problem of excessive fuel quantity deviation in existing technologies is solved, thus achieving reasonable fuel management and ensuring flight safety.

CN117541007BActive Publication Date: 2025-10-21CHINA SOUTHERN AIRLINES CO LTD
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Patent Information

Application Number
CN202311588024.9
Authority / Receiving Office
CN · China
Patent Type
Patents(China)
Current Assignee / Owner
Filing Date
2023-11-24
Publication Date
2025-10-21
Estimated Expiration
2043-11-24

AI Technical Summary

Technical Problem

In the prior art, the amount of additional fuel carried by an aircraft is determined based on the dispatcher's subjective experience, which may lead to a large deviation in the fuel amount, resulting in fuel consumption or the safety risk of insufficient fuel for the flight.

Method used

The minimum additional fuel quantity is calculated through historical flight data, and the cosine similarity algorithm is used to determine similar historical flights of the flight to be processed, so as to reasonably determine the target additional fuel quantity.

Benefits of technology

This avoids excessive deviations in the amount of additional fuel carried, reduces fuel consumption, ensures sufficient fuel for flights, and lowers safety risks.

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Abstract

The application discloses an aircraft additional carrying fuel quantity calculation method, device, equipment and medium, and the method comprises the steps of obtaining a plurality of historical flight data, and constructing data vectors of the historical flight data; calculating the minimum additional carrying fuel quantity corresponding to each historical flight according to the plurality of historical flight data; obtaining preset flight data of a to-be-processed flight, and constructing a data vector of the preset flight data; determining the similar historical flight corresponding to the to-be-processed flight by using a cosine similarity algorithm according to the data vectors of the historical flight data and the data vector of the preset flight data; and determining the target additional carrying fuel quantity of the to-be-processed flight according to the minimum additional carrying fuel quantity corresponding to the similar historical flight. The application can reasonably determine the target additional carrying fuel quantity of the to-be-processed flight according to the minimum additional carrying fuel quantity of the similar historical flight, and avoid the deviation of the additional carrying fuel quantity being too large.
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Description

Technical Field

[0001] The present invention relates to the field of aviation technology, and in particular to a method, device, terminal equipment and computer-readable storage medium for calculating the amount of additional fuel carried by an aircraft. Background Art

[0002] According to the Civil Aviation Administration of China's "Large Aircraft Public Air Transport Carrier Operation Certification Rules," aircraft must carry sufficient available fuel to safely complete the planned flight and make an emergency landing. The pre-flight calculation of the required available fuel must include discretionary fuel, which is additional fuel that the certificate holder decides to carry. This fuel is primarily based on additional fuel due to limiting factors such as weather and flow control. In existing technology, the amount of additional fuel carried by an aircraft is typically determined based on the dispatcher's subjective experience. Manual estimation methods can easily lead to large deviations in the amount of additional fuel carried by the aircraft. Excessive additional fuel carried by the aircraft can lead to "fuel consumption," while too little additional fuel carried by the aircraft may pose a safety risk of insufficient fuel for the flight. Summary of the Invention

[0003] The present invention provides a method, device, equipment and medium for calculating the additional fuel carried by an aircraft. The method calculates the minimum additional fuel carried by each historical flight through historical flight data, and uses a cosine similarity algorithm to determine similar historical flights to the flight to be processed. Therefore, the target additional fuel carried by the flight to be processed can be reasonably determined based on the minimum additional fuel carried by the similar historical flights, thereby avoiding excessive deviation in the additional fuel carried.

[0004] In order to solve the above technical problems, a first aspect of an embodiment of the present invention provides a method for calculating the amount of additional fuel carried by an aircraft, comprising the following steps:

[0005] Obtain some historical flight data and construct a data vector for each historical flight data;

[0006] Calculating the minimum additional fuel carried corresponding to each historical flight based on the historical flight data;

[0007] Obtaining preset flight data of a flight to be processed, and constructing a data vector of the preset flight data;

[0008] Determine similar historical flights corresponding to the flight to be processed using a cosine similarity algorithm based on the data vectors of each historical flight data and the data vectors of the preset flight data;

[0009] The target additional fuel quantity for the flight to be processed is determined according to the minimum additional fuel quantity corresponding to the similar historical flights.

[0010] As a preferred solution, the historical flight data includes at least aircraft status data, computer flight plan indicators and weather data of historical flights;

[0011] The step of constructing the data vector of each historical flight data specifically includes the following steps:

[0012] Assign values ​​to each weather condition based on the fuel consumption level corresponding to each weather condition, and numerically encode the weather data in each historical flight data according to the numerical value attached to each weather condition;

[0013] The aircraft status data, computer flight plan indicators and numerically coded weather data in each historical flight data are vector-joined to construct a data vector for each historical flight data.

[0014] As a preferred solution, the calculation of the minimum additional fuel quantity corresponding to each historical flight based on the plurality of historical flight data specifically includes the following steps:

[0015] Calculate the historical actual mileage fuel of each historical flight based on the historical take-off airport taxi-out remaining fuel, historical landing airport taxi-in remaining fuel, and historical taxiing fuel in the aircraft status data of each historical flight;

[0016] The minimum additional fuel carried corresponding to each historical flight is calculated based on the historical planned fuel, the historical unpredictable fuel and the historical actual fuel in the computer flight plan indicators of each historical flight.

[0017] As a preferred solution, the preset flight data at least includes preset computer flight plan indicators and weather data of the flight to be processed;

[0018] The step of constructing the data vector of the preset flight data specifically includes the following steps:

[0019] Numerical coding is performed on the weather data in the preset flight data according to the numerical values ​​attached to each weather condition;

[0020] The preset computer flight plan indicators in the preset flight data and the weather data represented by numerical codes are vector-joined to construct a data vector of the preset flight data.

[0021] A second aspect of an embodiment of the present invention provides a device for calculating the amount of additional fuel carried by an aircraft, comprising:

[0022] A first data vector construction module is used to obtain a number of historical flight data and construct a data vector for each historical flight data;

[0023] A minimum additional fuel quantity calculation module is used to calculate the minimum additional fuel quantity corresponding to each historical flight based on the plurality of historical flight data;

[0024] a second data vector construction module, configured to obtain preset flight data of a flight to be processed and construct a data vector of the preset flight data;

[0025] A similar historical flight determination module is configured to determine similar historical flights corresponding to the flight to be processed using a cosine similarity algorithm based on the data vectors of each historical flight data and the data vectors of the preset flight data;

[0026] The target additional fuel quantity determination module is configured to determine the target additional fuel quantity of the flight to be processed according to the minimum additional fuel quantity corresponding to the similar historical flights.

[0027] As a preferred solution, the historical flight data includes at least aircraft status data, computer flight plan indicators and weather data of historical flights;

[0028] The first data vector construction module is used to construct the data vector of each historical flight data, specifically including:

[0029] Assign values ​​to each weather condition based on the fuel consumption level corresponding to each weather condition, and numerically encode the weather data in each historical flight data according to the numerical value attached to each weather condition;

[0030] The aircraft status data, computer flight plan indicators and numerically coded weather data in each historical flight data are vector-joined to construct a data vector for each historical flight data.

[0031] As a preferred solution, the minimum additional fuel quantity calculation module is used to calculate the minimum additional fuel quantity corresponding to each historical flight based on the plurality of historical flight data, specifically including:

[0032] Calculate the historical actual mileage fuel of each historical flight based on the historical take-off airport taxi-out remaining fuel, historical landing airport taxi-in remaining fuel, and historical taxiing fuel in the aircraft status data of each historical flight;

[0033] The minimum additional fuel carried corresponding to each historical flight is calculated based on the historical planned fuel, the historical unpredictable fuel and the historical actual fuel in the computer flight plan indicators of each historical flight.

[0034] As a preferred solution, the preset flight data at least includes preset computer flight plan indicators and weather data of the flight to be processed;

[0035] The second data vector construction module is used to construct the data vector of the preset flight data, specifically including:

[0036] Numerical coding is performed on the weather data in the preset flight data according to the numerical values ​​attached to each weather condition;

[0037] The preset computer flight plan indicators in the preset flight data and the weather data represented by numerical codes are vector-joined to construct a data vector of the preset flight data.

[0038] A third aspect of an embodiment of the present invention provides a terminal device, comprising a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein when the processor executes the computer program, the method for calculating the additional fuel carried by an aircraft as described in any one of the first aspects is implemented.

[0039] A fourth aspect of an embodiment of the present invention provides a computer-readable storage medium, wherein the computer-readable storage medium includes a stored computer program, wherein when the computer program is running, the device where the computer-readable storage medium is located is controlled to execute the method for calculating the additional fuel carried by an aircraft as described in any one of the first aspects.

[0040] Compared with the prior art, the advantageous effect of the embodiments of the present invention lies in that the minimum additional fuel quantity for each historical flight is calculated using historical flight data, and similar historical flights to the flight to be processed are determined using a cosine similarity algorithm. Thus, the target additional fuel quantity for the flight to be processed can be reasonably determined based on the minimum additional fuel quantity of similar historical flights, thereby avoiding excessive deviation in the additional fuel quantity. BRIEF DESCRIPTION OF THE DRAWINGS

[0041] Figure 1 1 is a flow chart of a method for calculating the amount of additional fuel carried by an aircraft according to an embodiment of the present invention;

[0042] Figure 2 The figure is a schematic diagram of the structure of the device for calculating the amount of fuel carried by an aircraft in an embodiment of the present invention. DETAILED DESCRIPTION

[0043] The following will clearly and completely describe the technical solutions in the embodiments of the present invention 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. All other embodiments obtained by ordinary technicians in this field based on the embodiments of the present invention without making any creative efforts shall fall within the scope of protection of the present invention.

[0044] See also Figure 1A first aspect of an embodiment of the present invention provides a method for calculating the amount of additional fuel carried by an aircraft, comprising the following steps S1 to S5:

[0045] Step S1, obtaining a number of historical flight data and constructing a data vector of each historical flight data;

[0046] Step S2, calculating the minimum additional fuel quantity corresponding to each historical flight based on the historical flight data;

[0047] Step S3, obtaining preset flight data of the flight to be processed, and constructing a data vector of the preset flight data;

[0048] Step S4, determining similar historical flights corresponding to the flight to be processed using a cosine similarity algorithm based on the data vectors of each historical flight data and the data vectors of the preset flight data;

[0049] Step S5: determining the target additional fuel quantity for the flight to be processed based on the minimum additional fuel quantity corresponding to the similar historical flights.

[0050] Specifically, this embodiment obtains a number of historical flight data and constructs corresponding data vectors. Then, based on the historical flight data, the minimum amount of additional fuel that should theoretically be carried on each historical flight is estimated. Furthermore, preset flight data of the flight to be processed is obtained and a corresponding data vector is constructed. Then, based on the data vectors of each historical flight data and the data vectors of the preset flight data, a cosine similarity algorithm is used to determine similar historical flights with similar operating conditions to the flight to be processed. The specific expression is as follows:

[0051]

[0052] Where A and B represent the data vector of historical flight data and the data vector of preset flight data, respectively. A smaller cosine value indicates a more similar operating condition between the historical flight and the flight to be processed. Furthermore, based on the minimum additional fuel allowance corresponding to similar historical flights, the target additional fuel allowance for the flight to be processed is determined. The flight data, historical additional fuel allowance, and target additional fuel allowance of the similar historical flight are then sent to the dispatcher for reference when preparing the flight plan.

[0053] As one preferred embodiment, in order to avoid the safety risk of insufficient fuel for a flight due to insufficient additional fuel, this embodiment selects three similar historical flights with the highest degree of similarity from a number of historical flights based on the cosine similarity calculation results between the data vectors of each historical flight data and the data vectors of the preset flight data. The target additional fuel amount for the flight to be processed is determined based on the maximum value of the minimum additional fuel amounts corresponding to the three similar historical flights.

[0054] As a preferred solution, the historical flight data includes at least aircraft status data, computer flight plan indicators and weather data of historical flights;

[0055] The step of constructing the data vector of each historical flight data specifically includes the following steps:

[0056] Assign values ​​to each weather condition based on the fuel consumption level corresponding to each weather condition, and numerically encode the weather data in each historical flight data according to the numerical value attached to each weather condition;

[0057] The aircraft status data, computer flight plan indicators and numerically coded weather data in each historical flight data are vector-joined to construct a data vector for each historical flight data.

[0058] Specifically, this embodiment obtains historical flight plans, QARs, weather data, and other data related to flight fuel consumption, including at least aircraft status data, computer flight plan indicators (flight altitude, flight segment distance, payload, alternate airport selection, etc.), and weather data (live weather reports and forecasts for takeoff and landing airports, and en-route weather). To construct data vectors for each historical flight data item, this embodiment digitizes unstructured data and numerically encodes character data. Specifically, based on the degree of fuel consumption corresponding to each weather condition (e.g., thunderstorms > continuous precipitation > showery precipitation > other weather phenomena > no special weather phenomena), each weather condition is ranked and assigned a value from highest to lowest in terms of fuel consumption. The weather data in each historical flight data item is numerically encoded according to the numerical value attached to each weather condition. If the weather data in the historical flight data item contains multiple weather conditions, only the weather condition with the highest fuel consumption is numerically encoded. Then, the aircraft status data, computer flight plan indicators and numerically coded weather data in each historical flight data are vector-joined to construct a data vector for each historical flight data.

[0059] As a preferred solution, the calculation of the minimum additional fuel quantity corresponding to each historical flight based on the plurality of historical flight data specifically includes the following steps:

[0060] Calculate the historical actual mileage fuel of each historical flight based on the historical take-off airport taxi-out remaining fuel, historical landing airport taxi-in remaining fuel, and historical taxiing fuel in the aircraft status data of each historical flight;

[0061] The minimum additional fuel carried corresponding to each historical flight is calculated based on the historical planned fuel, the historical unpredictable fuel and the historical actual fuel in the computer flight plan indicators of each historical flight.

[0062] Specifically, the formula for historical actual trip fuel is: Historical Actual Trip Fuel = Historical Departure Airport Taxi-Out Fuel - Historical Landing Airport Taxi-In Fuel - Historical Taxi Fuel. The formula for minimum additional fuel is: Minimum Additional Fuel = Historical Actual Trip Fuel - Historical Planned Trip Fuel - Historical Unforeseen Fuel. When the calculated minimum additional fuel is less than or equal to 0, the computer-calculated fuel estimate is sufficient, and no additional fuel is required. When the calculated minimum additional fuel is greater than 0, the computer-calculated fuel estimate is insufficient, and more additional fuel is required.

[0063] As a preferred solution, the preset flight data at least includes preset computer flight plan indicators and weather data of the flight to be processed;

[0064] The step of constructing the data vector of the preset flight data specifically includes the following steps:

[0065] Numerical coding is performed on the weather data in the preset flight data according to the numerical values ​​attached to each weather condition;

[0066] The preset computer flight plan indicators in the preset flight data and the weather data represented by numerical codes are vector-joined to construct a data vector of the preset flight data.

[0067] An embodiment of the present invention provides a method for calculating the additional fuel amount carried by an aircraft. The method calculates the minimum additional fuel amount carried by each historical flight using historical flight data and uses a cosine similarity algorithm to determine similar historical flights to the flight to be processed. This method can then reasonably determine the target additional fuel amount carried by the flight to be processed based on the minimum additional fuel amount carried by similar historical flights, thereby avoiding excessive deviation in the additional fuel amount carried.

[0068] See also Figure 2 A second aspect of an embodiment of the present invention provides a device for calculating the amount of additional fuel carried by an aircraft, comprising:

[0069] A first data vector construction module 201 is used to obtain a number of historical flight data and construct a data vector for each historical flight data;

[0070] A minimum additional fuel quantity calculation module 202 is configured to calculate the minimum additional fuel quantity corresponding to each historical flight based on the historical flight data;

[0071] A second data vector construction module 203 is configured to obtain preset flight data of a flight to be processed and construct a data vector of the preset flight data;

[0072] A similar historical flight determination module 204 is configured to determine similar historical flights corresponding to the flight to be processed using a cosine similarity algorithm based on the data vectors of each historical flight data and the data vectors of the preset flight data;

[0073] The target additional fuel quantity determination module 205 is configured to determine the target additional fuel quantity of the flight to be processed according to the minimum additional fuel quantity corresponding to the similar historical flights.

[0074] As a preferred solution, the historical flight data includes at least aircraft status data, computer flight plan indicators and weather data of historical flights;

[0075] The first data vector construction module 201 is used to construct the data vector of each historical flight data, specifically including:

[0076] Assign values ​​to each weather condition based on the fuel consumption level corresponding to each weather condition, and numerically encode the weather data in each historical flight data according to the numerical value attached to each weather condition;

[0077] The aircraft status data, computer flight plan indicators and numerically coded weather data in each historical flight data are vector-joined to construct a data vector for each historical flight data.

[0078] As a preferred solution, the minimum additional fuel quantity calculation module 202 is used to calculate the minimum additional fuel quantity corresponding to each historical flight based on the historical flight data, specifically including:

[0079] Calculate the historical actual mileage fuel of each historical flight based on the historical take-off airport taxi-out remaining fuel, historical landing airport taxi-in remaining fuel, and historical taxiing fuel in the aircraft status data of each historical flight;

[0080] The minimum additional fuel carried corresponding to each historical flight is calculated based on the historical planned fuel, the historical unpredictable fuel and the historical actual fuel in the computer flight plan indicators of each historical flight.

[0081] As a preferred solution, the preset flight data at least includes preset computer flight plan indicators and weather data of the flight to be processed;

[0082] The second data vector construction module 203 is used to construct the data vector of the preset flight data, specifically including:

[0083] Numerical coding is performed on the weather data in the preset flight data according to the numerical values ​​attached to each weather condition;

[0084] The preset computer flight plan indicators in the preset flight data and the weather data represented by numerical codes are vector-joined to construct a data vector of the preset flight data.

[0085] It should be noted that the device for calculating the additional fuel quantity carried by an aircraft provided in an embodiment of the present invention can implement all processes of the method for calculating the additional fuel quantity carried by an aircraft described in any of the above embodiments. The functions and technical effects achieved by each module in the device are respectively the same as those of the method for calculating the additional fuel quantity carried by an aircraft described in the above embodiments, and will not be repeated here.

[0086] A third aspect of an embodiment of the present invention provides a terminal device, comprising a memory, a processor, and a computer program stored in the memory and executable on the processor. When the processor executes the computer program, the method for calculating the additional fuel carried by an aircraft as described in any embodiment of the first aspect is implemented.

[0087] The terminal device may be a computing device such as a desktop computer, laptop, PDA, or cloud server. The terminal device may include, but is not limited to, a processor and memory. The terminal device may also include input and output devices, network access devices, buses, etc.

[0088] The processor may be a central processing unit (CPU), or other general-purpose processors, a digital signal processor (DSP), an application-specific integrated circuit (ASIC), a field-programmable gate array (FPGA), or other programmable logic devices, discrete gate or transistor logic devices, discrete hardware components, etc. The general-purpose processor may be a microprocessor or any conventional processor, etc. The processor is the control center of the terminal device, and uses various interfaces and lines to connect various parts of the entire terminal device.

[0089] The memory can be used to store the computer programs and / or modules. The processor implements various functions of the terminal device by running or executing the computer programs and / or modules stored in the memory and calling the data stored in the memory. The memory can mainly include a program storage area and a data storage area, wherein the program storage area can store an operating system, at least one application required for a function (such as a sound playback function, an image playback function, etc.); the data storage area can store data created based on the use of the mobile phone (such as audio data, a phone book, etc.). In addition, the memory can include a high-speed random access memory and can also include a non-volatile memory, such as a hard disk, a memory, a plug-in hard disk, a smart memory card (SmartMedia Card, SMC), a secure digital (Secure Digital, SD) card, a flash card (FlashCard), at least one disk storage device, a flash memory device, or other volatile solid-state storage device.

[0090] A fourth aspect of an embodiment of the present invention provides a computer-readable storage medium, wherein the computer-readable storage medium includes a stored computer program, wherein when the computer program is running, the device where the computer-readable storage medium is located is controlled to execute the method for calculating the additional fuel carried by an aircraft as described in any embodiment of the first aspect.

[0091] Through the description of the above embodiments, those skilled in the art can clearly understand that the present invention can be implemented by means of software plus the necessary hardware platform, and of course, it can also be implemented entirely by hardware. Based on this understanding, all or part of the contribution of the technical solution of the present invention to the background art can be embodied in the form of a software product. This computer software product can be stored in a storage medium such as ROM / RAM, a magnetic disk, an optical disk, etc., and includes a number of instructions for enabling a computer device (which can be a personal computer, a server, or a network device, etc.) to execute the methods described in various embodiments of the present invention or certain parts of the embodiments.

[0092] The above is 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 principles of the present invention. These improvements and modifications are also considered to be within the scope of protection of the present invention.

Claims

1. A method for calculating the amount of additional fuel carried by an aircraft, characterized in that: The steps include: Obtain some historical flight data and construct a data vector for each historical flight data; Calculating the minimum additional fuel carried corresponding to each historical flight based on the historical flight data; Obtaining preset flight data of a flight to be processed, and constructing a data vector of the preset flight data; Determine similar historical flights corresponding to the flight to be processed using a cosine similarity algorithm based on the data vectors of each historical flight data and the data vectors of the preset flight data; Determining a target additional fuel quantity for the flight to be processed based on the minimum additional fuel quantity corresponding to the similar historical flights; The historical flight data includes at least aircraft status data, computer flight plan indicators and weather data of historical flights; The step of constructing the data vector of each historical flight data specifically includes the following steps: Assign values ​​to each weather condition based on the fuel consumption level corresponding to each weather condition, and numerically encode the weather data in each historical flight data according to the numerical value attached to each weather condition; The aircraft status data, computer flight plan indicators and numerically coded weather data in each historical flight data are vector-joined to construct a data vector for each historical flight data; Calculating the minimum additional fuel quantity corresponding to each historical flight based on the historical flight data specifically includes the following steps: Calculate the historical actual mileage fuel of each historical flight based on the historical take-off airport taxi-out remaining fuel, historical landing airport taxi-in remaining fuel, and historical taxiing fuel in the aircraft status data of each historical flight; Calculate the minimum additional fuel carried for each historical flight based on the historical planned fuel, historical unforeseen fuel, and the historical actual fuel in the computer flight plan indicators of each historical flight; The preset flight data includes at least preset computer flight plan indicators and weather data of the flight to be processed; The step of constructing the data vector of the preset flight data specifically includes the following steps: Numerical coding is performed on the weather data in the preset flight data according to the numerical values ​​attached to each weather condition; The preset computer flight plan indicators in the preset flight data and the weather data represented by numerical codes are vector-joined to construct a data vector of the preset flight data.

2. A device for calculating the amount of additional fuel carried by an aircraft, characterized in that: include: A first data vector construction module is used to obtain a number of historical flight data and construct a data vector for each historical flight data; A minimum additional fuel quantity calculation module is used to calculate the minimum additional fuel quantity corresponding to each historical flight based on the plurality of historical flight data; a second data vector construction module, configured to obtain preset flight data of a flight to be processed and construct a data vector of the preset flight data; A similar historical flight determination module is configured to determine similar historical flights corresponding to the flight to be processed using a cosine similarity algorithm based on the data vectors of each historical flight data and the data vectors of the preset flight data; a target additional fuel quantity determination module, configured to determine the target additional fuel quantity of the flight to be processed based on the minimum additional fuel quantity corresponding to the similar historical flights; The historical flight data includes at least aircraft status data, computer flight plan indicators and weather data of historical flights; The first data vector construction module is used to construct the data vector of each historical flight data, specifically including: Assign values ​​to each weather condition based on the fuel consumption level corresponding to each weather condition, and numerically encode the weather data in each historical flight data according to the numerical value attached to each weather condition; The aircraft status data, computer flight plan indicators and numerically coded weather data in each historical flight data are vector-joined to construct a data vector for each historical flight data; The minimum additional fuel quantity calculation module is used to calculate the minimum additional fuel quantity corresponding to each historical flight based on the historical flight data, specifically including: Calculate the historical actual mileage fuel of each historical flight based on the historical take-off airport taxi-out remaining fuel, historical landing airport taxi-in remaining fuel, and historical taxiing fuel in the aircraft status data of each historical flight; Calculate the minimum additional fuel carried for each historical flight based on the historical planned fuel, historical unforeseen fuel, and the historical actual fuel in the computer flight plan indicators of each historical flight; The preset flight data includes at least preset computer flight plan indicators and weather data of the flight to be processed; The second data vector construction module is used to construct the data vector of the preset flight data, specifically including: Numerical coding is performed on the weather data in the preset flight data according to the numerical values ​​attached to each weather condition; The preset computer flight plan indicators in the preset flight data and the weather data represented by numerical codes are vector-joined to construct a data vector of the preset flight data.

3. A terminal device, characterized in that: The method comprises a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein the processor implements the method for calculating the additional fuel quantity carried by an aircraft as claimed in claim 1 when executing the computer program.

4. A computer-readable storage medium, characterized in that The computer-readable storage medium includes a stored computer program, wherein when the computer program is executed, the device where the computer-readable storage medium is located is controlled to execute the method for calculating the additional fuel carried by an aircraft according to claim 1.

Citation Information

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