Air transportation mooring retained load calculation optimization method and system, terminal and storage medium

Abstract

The invention discloses an air transportation mooring retained load calculation optimization method and system and a storage medium, and the method comprises the steps: firstly building a three-dimensional coordinate system, and formulating an initial mooring scheme; then, parameters, including coordinates, length and angle, of the mooring rope are calculated, a deformation coordination and Alembert balance equation is constructed, and the retained load is calculated. Secondly, a mooring rope arrangement scheme is selected, the rope length, the tensile limit and the coordinate change range serve as constraints, the average value and the standard deviation of the mooring rope force serve as optimization targets, an objective function is constructed, and the values are calculated; and solving the load by using an optimization algorithm to obtain a Pareto diagram, and selecting points with relatively small standard deviation and mean value to obtain the optimized mooring force. And finally, verifying whether the optimization scheme conforms to the actual condition, if not, continuing optimization until the requirements are met, and forming a complete scheme system. The method can scientifically, systematically and comprehensively solve the problems of calculation and optimization of the air transportation mooring retained load.

Description

Technical Field

[0001] The invention belongs to the technical field of aviation loading, and more specifically, relates to a method for calculating and optimizing an aviation transport mooring limit load. Background Art

[0002] During air transport, cargo needs to be secured in six directions (up and down, front and back, left and right) to ensure stability and safety during flight. In addition to the downward overload supported by the floor, the other five directions (front and back, left and right, and upward) of air transport vehicles are secured by tie-down ropes. Since the aircraft will encounter various air currents and maneuvers during flight, which will cause the cargo to be subjected to forces in different directions, special tie-down devices (such as ropes, chains, etc.) are required to secure the cargo to prevent it from moving or flipping. These tie-down ropes and the tie-down mechanisms they are connected to must be strong enough to withstand the various forces that may be encountered during flight, such as inertial loads generated during takeoff, landing, sharp turns, turbulence, etc. "Inertial load" refers to the force generated on an object due to inertia when the object accelerates or decelerates. For example, when the aircraft suddenly accelerates, the cargo will move backward due to inertia. If it is not adequately secured, the cargo may move or even damage the aircraft structure. It is very important whether the tie-down mechanism and tie-down ropes on the vehicle have sufficient load-bearing capacity. If the strength requirements are not met, the vehicle, aircraft, etc. will be damaged.

[0003] Since different mooring schemes may result in different lengths and angles of contact with the cargo for each mooring rope, the force applied to each mooring rope will also be different when subjected to inertial loads, making it more difficult to calculate the loads on the mooring ropes. This requires accurate calculation of the force applied to each mooring rope to ensure that they can safely secure the cargo. Currently, there is no method for calculating and optimizing the air transport restraining load.

[0004] In the prior art, some solutions for calculating the limit load of air transport mooring are as follows: 1) determine the coordinates of the corresponding mooring points at both ends of each mooring rope; 2) calculate the loads received by the cargo in the ±X, ±Y, ±Z directions, so that one or more of the mooring ropes reach the limit condition, and calculate the component of each mooring rope in the limit direction; 3) accumulate the components of the mooring rope tension in the limit direction, and then add the friction between the cargo and the floor to calculate the maximum limit load in that direction; 4) compare the mooring limit load with the limit load requirement in that direction to draw a conclusion. This method is through reverse solution. When one of the mooring ropes reaches the maximum tension, the sum of the component forces on X, Y, and Z of each mooring rope is calculated and then compared with the limit load. It can only reflect the verification effect. There is no forward solution of the mooring rope force, and the analysis is not thorough. This method is a verification calculation, which can only play a verification role. There is no diagnosis and modification of the scheme, and the distribution of the mooring force is not considered comprehensively and systematically. Summary of the invention

[0005] In view of the above defects or improvement needs of the prior art, the present invention proposes an innovative air transport mooring limit load calculation optimization method, the main purpose of which is to solve the problem that the mooring rope arrangement scheme cannot be effectively optimized in the prior art. Through this method, the stability and safety of the mooring load during air transport can be significantly improved, thereby ensuring the safety and reliability of the goods during transportation. Specifically, the optimization method accurately calculates and adjusts factors such as the length, angle and tension of the mooring rope, so that the mooring load can maintain the best stable state during air transportation.

[0006] The present invention provides an air transport mooring limit load calculation optimization method, comprising the following steps:

[0007] A1. Establish a three-dimensional spatial coordinate system, determine the coordinates of the mooring points on the vehicle and the aircraft, and determine a reasonable initial mooring plan; calculate the basic parameters of the mooring rope according to the initial mooring plan, including mooring coordinates, mooring length, and mooring angle; construct the deformation coordination equation and D'Alembert equilibrium equation according to the limit direction, and calculate the initial limit load;

[0008] A2. Select the mooring rope arrangement scheme as the variable, the length of the mooring rope, the tensile limit, and the coordinate range of the mooring point as the constraints, select the average value and standard deviation of the mooring rope force under all limited motion conditions as the optimization target, set the target to minimize the average value and standard deviation of the maximum tension of all ropes under all conditions, construct the objective function, and calculate the average value and standard deviation;

[0009] A3. Use the optimization algorithm to solve the load and obtain the Pareto chart of the mean and standard deviation of the mooring force. Select the corresponding points along the red line of the point distribution diagram (the line connecting the points with smaller standard deviation and mean) to obtain the optimized mooring force.

[0010] A4. Confirm whether the optimized solution layout can meet the actual situation. If not, delete the solution and continue to optimize until it meets the actual situation. The entire solution process forms a complete system.

[0011] Furthermore, the step A1 includes calculating the length and direction vector of the mooring rope, and the specific steps are as follows:

[0012] A11. Suppose there are n mooring ropes. The coordinates of the two ends of the i-th mooring rope are c and f, which represent the mooring points on the car and the aircraft respectively.

[0013] A12. Calculate the mooring rope length and direction vector:

[0014]

[0015]

[0016]

[0017]

[0018] Furthermore, the step A1 also includes studying the relationship between the mooring rope length, the direction vector and the mooring force in the mooring rope elastic stage, and the specific steps are as follows:

[0019] A13. Assume that the vehicle has a small displacement along the inertial acceleration X, Y and Z directions, and study the relationship between the mooring rope length, direction vector and mooring force during the elastic stage of the mooring rope:

[0020]

[0021]

[0022]

[0023] Furthermore, the step A1 also includes using physical principles and equations to analyze and calculate the mechanical behavior of the vehicle under a specific force environment, and the specific steps are as follows:

[0024] A14. Under the action of inertial acceleration, the vehicle is a rigid body, and its force can be described by the D'Alembert principle and the deformation coordination equation. Assume that the vehicle mass is m, the friction coefficient is μ, the elastic modulus of the mooring rope is E, and the cross-sectional area is A. The friction force between the bottom of the vehicle and the bottom surface and the elastic force of the rope act on the vehicle together. The equation is as follows:

[0025] When there is inertial acceleration in the +X direction,

[0026]

[0027] When there is inertial acceleration in the -X direction,

[0028]

[0029] When there is inertial acceleration in the +Y direction,

[0030]

[0031] When there is inertial acceleration in the -Y direction,

[0032]

[0033] When there is inertial acceleration in the -Z direction,

[0034]

[0035] Furthermore, the objective function of step A2 is

[0036]

[0037]

[0038] in That is, the maximum tension of the i-th rope under all working conditions;

[0039] Furthermore, in the optimization of the mooring load in step A2, the mooring forces obtained under all working conditions are constructed into a matrix, and the objective function is constructed using the minimum mean and standard deviation of the mooring forces under all working conditions as the optimization target, so as to make every mooring rope play a role as much as possible.

[0040] Furthermore, the optimization algorithm is a genetic optimization algorithm, which is used to find the optimal coordinates of the mooring point under given constraints.

[0041] The present invention also provides an air transport mooring limit load calculation optimization system, which is configured with:

[0042] A coordinate establishment module is used to establish a three-dimensional spatial coordinate system and determine the coordinates of the mooring points on the vehicle and the aircraft;

[0043] The calculation module is used to calculate the mooring rope length and direction vector and establish the deformation coordination equation;

[0044] The equilibrium equation module is used to establish the equilibrium equation according to the D'Alembert principle and calculate the force on each rope;

[0045] The optimization module is used to make an optimization plan according to the force of the mooring rope, construct the objective function, and use the genetic optimization algorithm for optimization;

[0046] A simulation module is used to simulate the results of the genetic optimization algorithm using ISIGHT software;

[0047] The practical application module is used to determine the final mooring arrangement plan based on the actual project situation.

[0048] The present invention also provides a storage medium, wherein the storage medium includes the above-mentioned air transport mooring limit load calculation optimization method.

[0049] The present invention also provides a terminal, which includes: a memory, a processor, and an air transport tethering limit load calculation and optimization system stored in the memory and executable on the processor. When the air transport tethering limit load calculation and optimization system is executed by the processor, the steps of the above-mentioned air transport tethering limit load calculation optimization method are implemented.

[0050] In general, the above technical solutions conceived by the present invention can achieve the following beneficial effects compared with the prior art:

[0051] 1. The present invention proposes a method for optimizing the calculation of the air transport mooring limit load. The method is based on the initial layout plan. By establishing the D'Alembert equilibrium equation and introducing the deformation coordination equation, the influence of the rope deformation on the force distribution of the entire mooring system is fully considered, thereby scientifically and objectively reflecting the actual mooring situation and ensuring the safety and reliability of the mooring system.

[0052] 2. The proposed method for optimizing the calculation of the air transport mooring limit load also takes into account the constraint boundary conditions of the rope and the mooring point in actual situations, and also takes into account the optimization problems under multiple working conditions. By establishing a model with the average and standard deviation of all mooring forces as the optimization target, the present invention makes the mooring force distribution more uniform and reasonable, ensuring that each mooring rope can fully play its role, thereby effectively solving the boundary and target problems of the mooring force distribution.

[0053] 3 The present invention proposes a method for optimizing the calculation of the air transport mooring limit load, which selects a genetic algorithm as the optimization algorithm. Through this algorithm, combined with the above boundary conditions, optimization objectives and equations, the Pareto chart of the average and standard deviation of the mooring force can be quickly calculated. The Pareto chart can intuitively show the advantages and disadvantages of different mooring schemes, so that the most suitable mooring scheme can be selected according to the actual engineering situation along the Pareto frontier, thereby efficiently solving the mooring optimization problem.

[0054] 4. The air transport mooring limit load calculation optimization method proposed in the present invention considers whether the optimized solution layout can meet the actual situation, such as whether there is interference and other phenomena. If the optimized solution cannot meet the actual situation, it will be deleted and the optimization will continue until a solution that meets all the actual conditions is found. In this way, the entire solution can be formed into a complete system in a process-oriented manner, ensuring the systematicness and integrity of the optimization process. BRIEF DESCRIPTION OF THE DRAWINGS

[0055] Figure 1 Flowchart of the optimization method for calculating the restraining load of air transport tethers.

[0056] Figure 2 Pareto chart of the mean and standard deviation of mooring force.

[0057] Figure 3 Distribution diagram of the mooring force mean and standard deviation.

[0058] Figure 4 Schematic diagram for comparing the original solution and the optimized solution. DETAILED DESCRIPTION

[0059] In order to make the purpose, technical solutions and advantages of the present invention more clearly understood, the present invention is further described in detail below in conjunction with the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are only used to explain the present invention and are not intended to limit the present invention. In addition, the technical features involved in the various embodiments of the present invention described below can be combined with each other as long as they do not conflict with each other.

[0060] In the description of the present invention, unless otherwise clearly specified and limited, the terms "connected", "connected", and "fixed" should be understood in a broad sense, for example, it can be a fixed connection, a detachable connection, or an integral connection; it can be a mechanical connection or an electrical connection; it can be a direct connection or an indirect connection through an intermediate medium, it can be the internal connection of two elements or the interaction relationship between two elements. For ordinary technicians in this field, the specific meanings of the above terms in the present invention can be understood according to specific circumstances.

[0061] In the description of this embodiment, the terms "upper", "lower", "left", "right", "middle", etc., are based on the directions or positions shown in the drawings, and are only for the convenience of description and simplified operation, and do not indicate or imply that the device or element referred to must have a specific direction, be constructed and operate in a specific direction, and therefore cannot be understood as limiting the present invention. In addition, the terms "first", "second", etc. are only used for descriptive purposes and cannot be understood as indicating or implying relative importance.

[0062] It will be easily understood by those skilled in the art that the above description is only a preferred embodiment of the present invention and is not intended to limit the present invention. Any modifications, equivalent substitutions and improvements made within the spirit and principles of the present invention should be included in the protection scope of the present invention.

[0063] The following is combined with the appendix of this manual Figure 1 , the preferred implementation modes of the present disclosure are further elaborated in detail.

[0064] For the load calculation and optimization under the limited working conditions of the mooring rope in five directions (front and back, left and right, and upward), according to the fact that the mooring rope can only bear tension during air transportation and the direction can only be along the rope direction, a spatial coordinate system is established to express the vehicle mooring point and the mooring point on the aircraft floor with coordinates, and the equilibrium equation and deformation coordination equation in the limited direction are established to calculate the tension of each mooring rope, and then the mooring scheme is optimized. Here, a genetic algorithm is used to minimize the average value and standard deviation of the maximum tension of all ropes under all working conditions when conditions permit, that is, the difference in the stress state of each mooring rope is minimized as much as possible to ensure that the force distribution is as reasonable as possible, and finally the best mooring scheme is obtained based on the actual situation.

[0065] See also Figure 1, a method for calculating and optimizing the air transport mooring limit load, specifically comprising the following steps:

[0066] 1) Establish a three-dimensional coordinate system in space, determine the coordinates of the mooring points on the vehicle and the aircraft, determine a reasonable initial mooring scheme, and solve the initial mooring load using the deformation coordination equation and the D'Alembert equilibrium equation.

[0067] 2) Suppose there are n mooring ropes, and the coordinates of the two ends of the i-th mooring rope are (x ci ,y ci ,z ci ),(x fi ,y fi ,z fi ), c and f represent the mooring points on the vehicle and the aircraft respectively.

[0068] 3) Calculate the mooring rope length and direction vector:

[0069]

[0070]

[0071]

[0072]

[0073] 4) Assume that the car has a small displacement ΔL along the inertial acceleration X direction x ,Study the relationship between the mooring rope length, direction vector and mooring force during the elastic stage of the mooring rope:

[0074]

[0075] 5) Similarly, when there is a small displacement ΔL along the Y and Z directions of inertial acceleration y and ΔL z When , the expression of the mooring force is:

[0076]

[0077]

[0078] 6) When there is an inertial acceleration a in the +X direction +x When assuming that the vehicle is a rigid body, the mass of the vehicle is m, the friction coefficient between the bottom of the vehicle and the bottom surface is μ, the elastic modulus of the mooring rope is E, and the cross-sectional area is A, according to D'Alember's principle, combined with the deformation coordination equation, the equation is:

[0079]

[0080] 7) When there is an inertial acceleration a in the -X direction-x When assuming that the vehicle is a rigid body, the mass of the vehicle is m, the friction coefficient between the bottom of the vehicle and the bottom surface is μ, the elastic modulus of the mooring rope is E, and the cross-sectional area is A, according to D'Alember's principle, combined with the deformation coordination equation, the equation is:

[0081]

[0082] 8) When there is an inertial acceleration a in the +Y direction +y When assuming that the vehicle is a rigid body, the mass of the vehicle is m, the friction coefficient between the bottom of the vehicle and the bottom surface is μ, the elastic modulus of the mooring rope is E, and the cross-sectional area is A, according to D'Alember's principle, combined with the deformation coordination equation, the equation is:

[0083]

[0084] 9) When there is an inertial acceleration a in the -Y direction -y When assuming that the vehicle is a rigid body, the mass of the vehicle is m, the friction coefficient between the bottom of the vehicle and the bottom surface is μ, the elastic modulus of the mooring rope is E, and the cross-sectional area is A, according to D'Alember's principle, combined with the deformation coordination equation, the equation is:

[0085]

[0086] 10) When there is an inertial acceleration a in the -Z direction -z When assuming that the vehicle is a rigid body, the mass of the vehicle is m, the friction coefficient between the bottom of the vehicle and the bottom surface is μ, the elastic modulus of the mooring rope is E, and the cross-sectional area is A, according to D'Alember's principle, combined with the deformation coordination equation, the equation is:

[0087]

[0088] 11) By combining the above equations, we can find the magnitude of each retaining force F under the inertial load in the five directions. ij , F ij It represents the tension of the i-th rope under the j-th working condition. For the optimization of the mooring load, the mooring forces obtained under all working conditions are constructed into a matrix. The mean and standard deviation of the mooring forces under all working conditions are minimized as the optimization target to construct the objective function, so as to make each mooring rope play a role. It is organized into the following matrix as follows:

[0089]

[0090] 12) Optimization analysis of mooring rope tension. The optimization goal is to minimize the mean and standard deviation of the mooring force obtained under all working conditions. The purpose is to keep the mooring rope in a relatively stable stress state under various working conditions and avoid extreme stress conditions, thereby ensuring the safety and reliability of the mooring rope;

[0091] 13) Variables: the mooring scheme of the mooring rope (i.e. the location of the mooring point of the rope);

[0092] 14) Constraints: length of mooring rope, tensile limit, coordinate range of mooring point;

[0093] 15) Objective: The force on the mooring rope is uniform and as small as possible. The objective is the average value of the maximum tension of all ropes under all working conditions, y ave and standard deviation y sta Minimum

[0094] 16) The objective function is constructed as follows:

[0095]

[0096] 17) Among them That is, the maximum tension of the i-th rope under all working conditions.

[0097] 18) An optimization algorithm is used to find the best mooring coordinates, such as a genetic algorithm, a particle swarm optimization algorithm, etc. In this embodiment, a genetic algorithm is used to find the optimal mooring force, and ISIGHT software is used for simulation to find a set of optimal mooring force values, so that the force on the mooring rope is as uniform as possible under all working conditions, thereby achieving the purpose of optimization.

[0098] 19) After calculation, the Pareto chart of the mean and standard deviation of mooring force is shown in the attached figure. Figure 2 Shown:

[0099] 20) Select the corresponding points along the red line of the point distribution diagram (the line connecting the points with smaller standard deviation and mean). The point-line diagram is shown in the attached figure. Figure 3 As shown:

[0100] 21) According to the actual situation of the project, the best solution for mooring arrangement is finally obtained, and the coordinates before and after optimization are compared:

[0101]

[0102] 22) The original scheme and the optimized scheme are shown in the attached diagram. Figure 4 shown.

[0103] Confirm whether the optimized solution layout can meet the actual situation (interference, etc.). If not, delete the solution and continue to optimize until it meets the actual situation. The entire solution can be streamlined to form a complete system, achieve accurate positioning, greatly reduce invalid trial and error solutions, improve R&D efficiency, shorten R&D cycles, and reduce R&D costs. Through this process, the stability and safety of the mooring system can be significantly improved to ensure that it can work normally under various extreme conditions.

[0104] In actual application, the air transport mooring limit load calculation optimization method in this embodiment is stored in a storage medium, and the specific storage method can be referred to in the prior art. The storage medium can be a memory, a disk, an optical disk, etc.

[0105] The present embodiment also relates to an air transport mooring limit load calculation and optimization system, which is configured with: a coordinate establishment module, which is used to establish a spatial three-dimensional coordinate system and determine the position coordinates of the mooring points on the vehicle and the aircraft; a calculation module, which is used to calculate the mooring rope length and direction vector, and establish a deformation coordination equation; an equilibrium equation module, which is used to establish an equilibrium equation according to the D'Alembert principle and calculate the force of each rope; an optimization module, which is used to make an optimization plan according to the force condition of the mooring rope, construct an objective function, and use a genetic optimization algorithm for optimization; a simulation module, which is used to simulate the results of the genetic optimization algorithm using ISIGHT software; and a practical application module, which is used to determine the final mooring arrangement plan according to the actual engineering situation.

[0106] This embodiment also provides a terminal, which includes: a memory, a processor, and an air transport tethering limit load calculation and optimization system stored in the memory and executable on the processor. When the air transport tethering limit load calculation and optimization system is executed by the processor, the steps of the above-mentioned air transport tethering limit load calculation optimization method are implemented.

[0107] It will be easily understood by those skilled in the art that the above description is only a preferred embodiment of the present invention and is not intended to limit the present invention. Any modifications, equivalent substitutions and improvements made within the spirit and principles of the present invention should be included in the protection scope of the present invention.

Claims

1. A method for calculating and optimizing the air transport mooring limit load, characterized in that: The following steps are involved: A1. Establish a three-dimensional spatial coordinate system, determine the coordinates of the mooring points on the vehicle and the aircraft, and determine a reasonable initial mooring plan; calculate the basic parameters of the mooring rope according to the initial mooring plan, including mooring coordinates, mooring length, and mooring angle; construct the deformation coordination equation and D'Alembert equilibrium equation according to the limit direction, and calculate the initial limit load; A2. Select the mooring rope arrangement scheme as the variable, the length of the mooring rope, the tensile limit, and the coordinate range of the mooring point as the constraints, select the average and standard deviation of the mooring rope force under all limited working conditions as the optimization target, and set the target to be the average value of the maximum tension of all ropes under all working conditions y ave and standard deviation y sta Minimize, construct the objective function, and calculate the average value y ave and standard deviation y sta ; A3. Use the optimization algorithm to solve the load and obtain the Pareto chart of the mean and standard deviation of the mooring force. Select the corresponding points along the red line of the point distribution diagram (the line connecting the points with smaller standard deviation and mean) to obtain the optimized mooring force. A4. Confirm whether the optimized solution layout can meet the actual situation. If not, delete the solution and continue to optimize until it meets the actual situation. The entire solution process forms a complete system.

2. The air transport mooring limit load calculation optimization method according to claim 1 is characterized in that: The step A1 includes calculating the length and direction vector of the mooring rope, and the specific steps are as follows: A11. Suppose there are n mooring ropes. The coordinates of the two ends of the i-th mooring rope are c and f, which represent the mooring points on the car and the aircraft respectively. A12. Calculate the mooring rope length and direction vector:

3. The air transport mooring limit load calculation optimization method according to claim 2 is characterized in that: The step A1 also includes studying the relationship between the mooring rope length, direction vector and mooring force during the mooring rope elasticity stage, and the specific steps are as follows: A13. Assume that the vehicle has a small displacement along the inertial acceleration X, Y and Z directions, and study the relationship between the mooring rope length, direction vector and mooring force during the elastic stage of the mooring rope:

4. The air transport mooring limit load calculation optimization method according to claim 3 is characterized in that: The step A1 also includes using physical principles and equations to analyze and calculate the mechanical behavior of the vehicle under a specific force environment. The specific steps are as follows: A14. Under the action of inertial acceleration, the vehicle is a rigid body, and its force can be described by the D'Alembert principle and the deformation coordination equation. Assume that the vehicle mass is m, the friction coefficient is μ, the elastic modulus of the mooring rope is E, and the cross-sectional area is A. The friction force between the bottom of the vehicle and the bottom surface and the elastic force of the rope act on the vehicle together. The equation is as follows: When there is an inertial acceleration a in the +X direction +x hour, When there is an inertial acceleration a in the -X direction -x hour, When there is inertial acceleration in the +Y direction, When there is inertial acceleration in the -Y direction, When there is inertial acceleration in the -Z direction, 5. The air transport mooring limit load calculation optimization method according to claim 1 is characterized in that: The objective function of step A2 is: Among them, The maximum tension of the i-th rope under all working conditions.

6. The air transport mooring limit load calculation optimization method according to claim 1 is characterized in that: In the optimization of the mooring load in step A2, the mooring forces obtained under all working conditions are constructed into a matrix, and the objective function is constructed using the minimum mean and standard deviation of the mooring forces under all working conditions as the optimization target, so as to make every mooring rope play a role as much as possible.

7. The air transport mooring limit load calculation optimization method according to claim 1 is characterized in that: The optimization algorithm is a genetic optimization algorithm, which is used to find the optimal coordinates of the mooring point under given constraints.

8. An air transport mooring limit load calculation optimization system, characterized in that: The system is configured with: A coordinate establishment module is used to establish a three-dimensional spatial coordinate system and determine the coordinates of the mooring points on the vehicle and the aircraft; The calculation module is used to calculate the mooring rope length and direction vector and establish the deformation coordination equation; The equilibrium equation module is used to establish the equilibrium equation according to the D'Alembert principle and calculate the force on each rope; The optimization module is used to make an optimization plan according to the force of the mooring rope, construct the objective function, and use the genetic optimization algorithm for optimization; A simulation module is used to simulate the results of the genetic optimization algorithm using ISIGHT software; The practical application module is used to determine the final mooring arrangement plan based on the actual project situation.

9. A storage medium, characterized in that: The storage medium includes the air transport mooring limit load calculation optimization method as described in any one of claims 1-7.

10. A terminal, characterized in that: The terminal includes: a memory, a processor, and an air transport tethering limit load calculation and optimization system stored in the memory and executable on the processor. When the air transport tethering limit load calculation and optimization system is executed by the processor, the steps of the air transport tethering limit load calculation optimization method as described in any one of claims 1 to 7 are implemented.

Images