Flight Training Simulation System and Method Based on Full-Cycle Management

Abstract

The present invention relates to the technical field of flight simulation training and simulation, and specifically discloses a flight training simulation system and method based on full-cycle management. The system includes: a historical training information acquisition module, a training quality evaluation module for target training personnel, a target training personnel screening module, a training module for qualified training personnel, a training quality evaluation module for qualified training personnel, and a display terminal. The flight training simulation system based on full-cycle management of the present invention can obtain scientific flight training quality evaluation data of training personnel, filling the deficiency in the prior art of manually judging the emergency response ability of training personnel in the face of emergencies, thereby improving the reference value and value of the analysis results of the flight training quality and the evaluation results of the emergency response ability of training personnel.

Description

Technical Field

[0001] The present invention relates to the technical field of flight training, and in particular to a flight training simulation system and method based on full-cycle management. Background Art

[0002] Real flight training is often expensive and time-consuming, causing significant expenses in terms of cockpit time, aircraft fuel, crew salaries, and maintenance costs. The use of flight training simulators can significantly reduce these costs. The resources and maintenance costs required for simulation training are greatly reduced, and at the same time, training time can be utilized more efficiently. Therefore, flight training simulation is an indispensable part of the aviation industry. Through simulators, trainees can conduct flight exercises and emergency situation simulations in a virtual environment to improve flight skills, aviation safety, and cost-effectiveness. If the training effect of trainees in flight training simulation is not good, it will affect the operation of trainees in subsequent actual combat, and it will be difficult to cultivate outstanding trainees. Therefore, it is extremely necessary to evaluate and analyze the training effect of trainees.

[0003] In the prior art, the evaluation of the training effect of trainees is often defined by the introduced simulator manufacturers. Whether it is an imported flight simulator or a domestic flight simulator, to a certain extent, the flight quality of flight training personnel can be evaluated by analyzing flight data, but there are still certain defects, which are specifically reflected in: 1) In the prior art, the flight training quality of trainees is mostly analyzed by the completion duration, reaction duration, path overlap degree, etc. of trainees, and the analysis of the risk of path deviation is not deep enough, resulting in the data source for analyzing the flight training quality of trainees not being specific and complete enough, thus making the analysis of the flight training quality of trainees somewhat one-sided, difficult to ensure the accuracy of the analysis of the flight training quality of trainees, and reducing the reference value and value of the analysis results of the flight training quality of trainees, which is not conducive to the safety control of relevant managers during the actual flight training of subsequent trainees; 2) In the prior art, the emergency response ability of trainees when dealing with emergencies is mostly judged manually. Since manual judgment has certain subjectivity and lacks a unified evaluation standard, the accuracy of evaluating the emergency response ability of trainees when dealing with emergencies is reduced, resulting in insufficient understanding of the correct response and appropriate actions of trainees when dealing with emergencies, thus making it difficult to ensure that trainees are familiar with and master the skills of operating aircraft, reducing the ability to handle unexpected events to a certain extent, increasing the incidence of risks and unexpected events in actual flight, and making it difficult to ensure aviation safety. Summary of the Invention

[0004] To overcome the disadvantages in the background art, embodiments of the present invention provide a flight training simulation system and method based on full-cycle management, which can effectively solve the problems involved in the above-mentioned background art.

[0005] According to the first aspect of the object, a flight training simulation system based on full-cycle management is provided, including:

[0006] A historical training information acquisition module, configured to acquire the historical training information corresponding to each target trainee from the flight training simulation platform;

[0007] A target trainee training quality evaluation module, configured to analyze the flight training quality coefficient corresponding to each target trainee based on the historical training information corresponding to each target trainee and acquire the actual drill information corresponding to each target trainee from the flight training simulation platform;

[0008] A target trainee screening module, configured to screen each qualified trainee and each basic trainee based on the flight training quality coefficient corresponding to each target trainee;

[0009] A qualified trainee training module, configured to set simulation scenarios of various wind levels through the flight training simulation platform and train each qualified trainee in the simulation scenarios of various wind levels, so as to obtain the flight trajectories and completion durations corresponding to each qualified trainee at various wind levels;

[0010] A qualified trainee training quality evaluation module, configured to analyze the emergency response ability evaluation index corresponding to each qualified trainee and comprehensively analyze the comprehensive flight training quality coefficient corresponding to each qualified trainee based on this.

[0011] Further, the flight training simulation system further includes a display terminal, configured to acquire the flight training quality coefficient corresponding to each basic trainee based on the flight training quality coefficient corresponding to each target trainee, display it, and then display the comprehensive flight training quality coefficient corresponding to each qualified trainee.

[0012] Further, the historical training information includes the instruction text, start time point, and end time point corresponding to each target task of each historical training.

[0013] Further, the actual drill information includes the actual drill path, actual start operation time point, and actual end operation time point corresponding to each target task of each historical training.

[0014] Further, for analyzing the flight training quality coefficient corresponding to each target trainee, the specific analysis method is as follows:

[0015] Extract the instruction text, start time point, and end time point corresponding to each target task for each historical training from the historical training information of each target trainer;

[0016] Extract the actual start operation time point and actual end operation time point corresponding to each target task for each historical training from the actual drill information of each target trainer, and analyze the appropriate evaluation coefficient of the drill duration for each target trainer in each target task corresponding to each historical training accordingly

[0017] Obtain the path overlap length corresponding to each target task for each historical training in which each target trainer is located Where i represents the number of each target trainer, i = 1, 2,..., n, m represents the number of each historical training, m = 1, 2,..., l, and p represents the number of each target task, p = 1, 2,..., q;

[0018] Obtain the length of the expected drill path for each target trainer in each target task corresponding to each historical training

[0019] Analyze the path overlap evaluation coefficient for each target trainer in each target task corresponding to each historical training Where e is the natural constant, and then analyze each target task and each target task to be analyzed that each target trainer belongs to in each historical training accordingly, and analyze the path deviation risk coefficient for each target trainer in each target task to be analyzed corresponding to each historical training Where j represents the number of each target task to be analyzed, j = 1, 2,..., k;

[0020] Extract the path overlap evaluation coefficient for each target trainer in each compliant target task corresponding to each historical training based on the path overlap evaluation coefficient for each target trainer in each target task corresponding to each historical training Where b represents the number of each compliant target task, b = 1, 2,..., d; and

[0021] Count the number M of compliant target tasks corresponding to each historical training of each target trainer im And the number N of target tasks to be analyzed im , and then comprehensively analyze the flight training quality coefficient corresponding to each target trainer Where d, l, and q respectively represent the number of compliant target tasks, the number of historical trainings, and the number of target tasks, and ε′ is a predefined reference path overlap evaluation coefficient, Let \(k\) be the number of target tasks to be analyzed. \(\lambda_1\) and \(\lambda_2\) respectively represent the influence weight coefficients corresponding to the quality assessment of predefined target tasks and the risk assessment of target tasks to be analyzed. \(\eta'\) is the predefined reference path deviation risk coefficient.

[0022] Furthermore, the appropriate evaluation coefficient of the drill duration corresponding to each target trainer in each target task of each historical training is analyzed. The specific analysis method is as follows:

[0023] Extract the start time points corresponding to each target task of each historical training from the historical training information of each target trainer and the end time points Then, based on this, construct the estimated completion duration of each target trainer in each target task of each historical training

[0024] Extract the actual start operation time points corresponding to each target task of each historical training from the actual drill information of each target trainer and the actual end operation time points Then, based on this, construct the reaction duration of each target trainer in each target task of each historical training and the actual drill duration

[0025] Analyze the appropriate evaluation coefficient of the drill duration corresponding to each target trainer in each target task of each historical training where \(U'\) is the predefined reference reaction duration, \(I''\) is the allowable error between the predefined actual drill duration and the estimated completion duration, and \(\gamma_1\) and \(\gamma_2\) respectively represent the correction factors corresponding to the appropriateness of the predefined actual drill duration and the appropriateness of the reaction duration.

[0026] Furthermore, the path deviation risk coefficient of each target trainer in each target task to be analyzed of each historical training The specific analysis method is as follows:

[0027] Obtain the area enclosed by the estimated drill path and the actual drill path of each target trainer in each target task to be analyzed of each historical training, and then obtain its corresponding area and extract the number of target change nodes from it

[0028] Analyze the path deviation risk coefficient of each target trainer in each target task to be analyzed of each historical training where \(S'\) and \(L'\) respectively represent the predefined allowable path deviation area and the allowable number of path change nodes.

[0029] Furthermore, for the emergency response ability evaluation index corresponding to each qualified training personnel, the specific analysis method is as follows:

[0030] Project the flight trajectories of each qualified training personnel corresponding to each wind level onto the xoy plane, xoz plane, and yoz plane respectively, so as to obtain the projected trajectories of each qualified training personnel on the xoy plane, xoz plane, and yoz plane at each wind level;

[0031] Based on the projected trajectories of each qualified training personnel on the xoy plane at each wind level, obtain the starting value, each peak value, each valley value, and the ending value, and then obtain the slope of each sub-trajectory corresponding to the projected trajectory of each qualified training personnel on the xoy plane at each wind level accordingly where h represents the number of each qualified training personnel, h = 1, 2,..., g, f represents the number of each wind level, f = 1, 2,..., t, and r represents the number of each sub-trajectory, r = 1, 2,..., w;

[0032] Analyze the flight stability coefficient corresponding to each qualified training personnel on the xoy plane at each wind level where K′ is the predefined allowable slope error corresponding to adjacent sub-trajectories, and w is the number of sub-trajectories, is the slope of the (r + 1)-th sub-trajectory corresponding to the projected trajectory of the h-th qualified training personnel on the xoy plane at the f-th wind level;

[0033] Similarly, according to the above method, further analyze the flight stability coefficient corresponding to each qualified training personnel on the xoz plane at each wind level and the flight stability coefficient corresponding to each qualified training personnel on the yoz plane;

[0034] Perform mean processing on the flight stability coefficients corresponding to each qualified training personnel on the xoy plane, xoz plane, and yoz plane at each wind level, so as to obtain the flight stability coefficient corresponding to each qualified training personnel at each wind level, and perform mean processing on them, so as to obtain the flight stability coefficient ξ corresponding to each qualified training personnel h ;

[0035] Based on the completion duration FI corresponding to each qualified training personnel at each wind level hf Analyze the reaction ability evaluation coefficient corresponding to each qualified training personnel where t is the number of wind levels; and

[0036] Comprehensively analyze the emergency response ability evaluation index ψ corresponding to each qualified training personnel h = ln(1 + ξ h *χ1 + ω h *χ2), where χ1 and χ2 respectively represent the predefined proportion factors corresponding to the flight stability coefficient and the reaction ability evaluation coefficient.

[0037] Furthermore, for the comprehensive flight training quality coefficient corresponding to each qualified training personnel, the specific analysis method is as follows:

[0038] Extract the flight training quality coefficient μ corresponding to each qualified training personnel according to the flight training quality coefficient corresponding to each target training personnel h , and then analyze the comprehensive flight training quality coefficient corresponding to each qualified training personnel according to the calculation formula , where δ1 and δ2 respectively represent the weight factors corresponding to the predefined flight training quality coefficient and the emergency response ability evaluation index.

[0039] According to the second aspect of the object of the present invention, there is also provided a flight training simulation method based on full-cycle management, including:

[0040] Step S1. Historical training information acquisition: Obtain the historical training information corresponding to each target training personnel from the flight training simulation platform;

[0041] Step S2. Target training personnel training quality evaluation: Based on the historical training information corresponding to each target training personnel, and obtain the actual drill information corresponding to each target training personnel from the flight training simulation platform, and then analyze the flight training quality coefficient corresponding to each target training personnel accordingly;

[0042] Step S3. Target training personnel screening: Screen each qualified training personnel and each basic training personnel according to the flight training quality coefficient corresponding to each target training personnel;

[0043] Step S4. Qualified training personnel training: Set up simulation scenarios with different wind levels through the flight training simulation platform, and train each qualified training personnel in the simulation scenarios with different wind levels, and then obtain the flight trajectories and completion times corresponding to each qualified training personnel at different wind levels;

[0044] Step S5. Qualified training personnel training quality evaluation: Analyze the emergency response ability evaluation index corresponding to each qualified training personnel, and comprehensively analyze the comprehensive flight training quality coefficient corresponding to each qualified training personnel accordingly;

[0045] Step S6. Display processing: Obtain the flight training quality coefficient corresponding to each basic training personnel according to the flight training quality coefficient corresponding to each target training personnel, and display it, and then display the comprehensive flight training quality coefficient corresponding to each qualified training personnel.

[0046] Compared with the prior art, the implementation of the flight training simulation method and system based on full-cycle management proposed by the present invention has the following remarkable beneficial effects:

[0047] (1) The present invention obtains the historical training information corresponding to each target trainee in the historical training information acquisition module, thereby providing data support for the subsequent analysis of the flight training quality of the target trainees; further, in the training quality evaluation module of the target trainees, not only the completion time, reaction time, and path overlap degree of the target trainees are analyzed, but also the risk of path deviation is analyzed, overcoming the defect in the prior art that the analysis of the risk of path deviation is not deep enough, enriching the data source for the analysis of the flight training quality of the trainees, thus ensuring that the analysis of the flight training quality of the trainees is relatively comprehensive, guaranteeing the accuracy of the analysis of the flight training quality of the trainees, thereby improving the reference value and value of the analysis results of the flight training quality of the trainees, and being conducive to the relevant management personnel to control the safety during the actual flight training of the subsequent trainees;

[0048] (2) The present invention screens qualified trainees and basic trainees in the target trainee screening module, thereby laying a foundation for the subsequent retraining of the qualified trainees;

[0049] (3) The present invention sets up simulation scenarios with different wind levels through a flight training simulation platform in the qualified trainee training module, thereby obtaining relevant information of the qualified trainees at different wind levels, providing data support for the subsequent evaluation of the emergency response ability of the qualified trainees;

[0050] (4) The present invention analyzes the reaction ability and flight stability of the qualified trainees in the qualified trainee training quality evaluation module, and then comprehensively analyzes the emergency response ability evaluation index of the qualified trainees, thereby making up for the deficiency in the prior art that mostly judges the emergency response ability of the trainees when dealing with emergencies manually, improving the accuracy of the evaluation of the emergency response ability of the trainees when dealing with emergencies, thus guaranteeing the correct reaction and appropriate action of the trainees when dealing with emergencies, and further ensuring that the trainees are familiar with and master the skills of operating the aircraft, improving the ability to deal with unexpected events to a certain extent, and then reducing the incidence of risks and unexpected events in real flight, guaranteeing aviation safety. BRIEF DESCRIPTION OF THE DRAWINGS

[0051] The present invention will be further described with reference to the accompanying drawings, but the embodiments in the drawings do not constitute any limitation to the present invention. For those of ordinary skill in the art, without creative efforts, other drawings can also be obtained according to the following drawings.

[0052] Figure 1 It is a schematic diagram of the principle of the flight training simulation system based on full-cycle management according to an embodiment of the present invention.

[0053] Figure 2Flowchart of the flight training simulation method based on full-cycle management according to an embodiment of the present invention. Detailed implementation manners

[0054] Next, the technical solutions in the embodiments of the present invention will be clearly and completely described in conjunction with the accompanying drawings in the embodiments of the present invention. Obviously, the described embodiments are only a part of the embodiments of the present invention, rather than all the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those of ordinary skill in the art without creative efforts shall fall within the protection scope of the present invention.

[0055] Refer to Figure 1 The flight training simulation system based on full-cycle management in the embodiment includes: a historical training information acquisition module, a training quality evaluation module for target training personnel, a target training personnel screening module, a training module for qualified training personnel, a training quality evaluation module for qualified training personnel, and a display terminal.

[0056] The foregoing historical training information acquisition module, training quality evaluation module for target training personnel, target training personnel screening module, training module for qualified training personnel, and training quality evaluation module for qualified training personnel are implemented in the form of program / instruction sets that can be called and executed by a processor. After being called and executed, they can perform corresponding functions.

[0057] Among them, the data communication and processing among the historical training information acquisition module, training quality evaluation module for target training personnel, target training personnel screening module, training module for qualified training personnel, and training quality evaluation module for qualified training personnel are configured to be implemented in a computer system and based on a data bus to achieve data communication. The foregoing computer system includes a configuration of a processor and a memory. The memory is used to store program / instruction sets and data. The processor executes the above-mentioned stored program / instruction sets to implement the operation steps of the embodiments of various aspects of the present invention and process data during the operation.

[0058] In an embodiment of the present invention, the historical training information acquisition module is used to acquire the historical training information corresponding to each target training personnel from the flight training simulation platform.

[0059] In a specific embodiment of the present invention, the historical training information includes the instruction text, start time point, and end time point corresponding to each target task of each historical training.

[0060] The present invention acquires the historical training information corresponding to each target training personnel in the historical training information acquisition module, thereby providing data support for the subsequent analysis of the flight training quality of the target training personnel.

[0061] The target trainee training quality evaluation module is used to analyze the flight training quality coefficient corresponding to each target trainee based on the historical training information corresponding to each target trainee and obtain the actual drill information corresponding to each target trainee from the flight training simulation platform.

[0062] In a specific embodiment of the present invention, the actual drill information includes the actual drill path, the actual start operation time point, and the actual end operation time point corresponding to each target task to which each historical training belongs.

[0063] In a specific embodiment of the present invention, to analyze the flight training quality coefficient corresponding to each target trainee, the specific analysis method is as follows:

[0064] Extract the instruction text, start time point, and end time point corresponding to each target task to which each historical training belongs from the historical training information corresponding to each target trainee;

[0065] Extract the actual start operation time point and the actual end operation time point corresponding to each target task to which each historical training belongs from the actual drill information of each target trainee, and analyze the drill duration suitability evaluation coefficient corresponding to each target trainee for each target task to which each historical training belongs accordingly.

[0066] Obtain the path overlap length corresponding to each target task to which each historical training where each target trainee is located belongs. Where i represents the number of each target trainee, i = 1, 2,..., n, m represents the number of each historical training, m = 1, 2,..., l, and p represents the number of each target task, p = 1, 2,..., q;

[0067] Obtain the length of the expected drill path of each target trainee for each target task to which each historical training belongs.

[0068] Analyze the path overlap evaluation coefficient of each target trainee for each target task to which each historical training belongs. Where e is the natural constant, and then analyze each target task that meets the target and each target task to be analyzed to which each historical training of each target trainee belongs, and analyze the path deviation risk coefficient of each target trainee for each target task to be analyzed to which each historical training belongs. Where j represents the number of each target task to be analyzed, j = 1, 2,..., k;

[0069] Extract the path overlap evaluation coefficient of each target trainee for each target task that meets the target corresponding to each historical training based on the path overlap evaluation coefficient of each target trainee for each target task to which each historical training belongs. where b represents the numbers corresponding to each target task, b = 1, 2,..., d; and

[0070] Count the number M of target tasks corresponding to each historical training for each target trainer im and the number N of target tasks to be analyzed im , and then comprehensively analyze the flight training quality coefficient corresponding to each target trainer where d, l, and q respectively represent the number of target tasks, the number of historical trainings, and the number of target tasks, ε′ is a predefined reference path overlap evaluation coefficient, k is the number of target tasks to be analyzed, λ1 and λ2 respectively represent the influence weight coefficients corresponding to the quality evaluation of predefined target tasks and the risk evaluation of target tasks to be analyzed, and η′ is a predefined reference path deviation risk coefficient.

[0071] As an optional example, the specific method for obtaining the path overlap length corresponding to each target task to which each historical training of each target trainer belongs is as follows:

[0072] Obtain the positions of each target trainer at the actual operation start time points corresponding to each target task to which each historical training belongs from the flight training simulation platform, and combine the instruction texts corresponding to each target task to which each historical training belongs to extract the expected drill paths of each target task from the actual drill information of each target trainer;

[0073] Extract the actual drill paths corresponding to each target task to which each historical training of each target trainer belongs from the actual drill information of each target trainer, and compare them with the expected drill paths corresponding to each target task to which each historical training belongs, and then obtain the path overlap length corresponding to each target task to which each historical training of each target trainer belongs.

[0074] As an optional example, the specific method for analyzing each target task to which each historical training of each target trainer belongs and each target task to be analyzed is as follows:

[0075] Compare the path overlap evaluation coefficient of each target task to which each historical training of each target trainer belongs with the predefined path overlap evaluation coefficient threshold. If the path overlap evaluation coefficient of a certain target task is greater than or equal to the predefined path overlap evaluation coefficient threshold, mark the target task as a target task that meets the requirements; otherwise, mark it as a target task to be analyzed, and then count each target task that meets the requirements and each target task to be analyzed for each historical training of each target trainer.

[0076] As an optional example, the predefined reference path overlap evaluation coefficient is specifically: the path overlap evaluation coefficients of each target trainer in each historical training belonging to each target task that meets the requirements are subjected to three-time mean processing, and the result is used as the reference path overlap evaluation coefficient.

[0077] As an optional example, the predefined reference path deviation risk coefficient is specifically: the path deviation risk coefficients of each target trainer in each historical training belonging to each target task to be analyzed are subjected to three-time mean processing, and the result is used as the reference path deviation risk coefficient.

[0078] In a specific embodiment of the present invention, analyzing the drill duration suitability evaluation coefficient corresponding to each target task in each historical training of each target trainer, the specific analysis method is:

[0079] Extract the start time points corresponding to each target task in each historical training from the historical training information corresponding to each target trainer and the end time points Furthermore, based on this, the estimated completion duration of each target trainer in each target task in each historical training is constructed

[0080] Extract the actual start operation time points corresponding to each target task in each historical training from the actual drill information of each target trainer and the actual end operation time points Furthermore, based on this, the reaction duration of each target trainer in each target task in each historical training is constructed and the actual drill duration

[0081] Analyze the drill duration suitability evaluation coefficient corresponding to each target task in each historical training of each target trainer where U′ is the predefined reference reaction duration, I″ is the allowable error between the predefined actual drill duration and the estimated completion duration, and γ1 and γ2 respectively represent the correction factors corresponding to the predefined suitability of the actual drill duration and the suitability of the reaction duration.

[0082] As an optional example, the predefined reference reaction duration is specifically: the reaction durations of each target trainer in each historical training belonging to each target task are subjected to three-time mean processing, and the result is used as the predefined reference reaction duration.

[0083] In a specific embodiment of the present invention, the path deviation risk coefficient of each target trainer in each historical training belonging to each target task to be analyzed The specific analysis method is:

[0084] Obtain the area enclosed by the predicted drill path and the actual drill path of each target trainee for each target task to be analyzed in each historical training, and then obtain its corresponding area. And extract the number of target change nodes from it.

[0085] Analyze the path deviation risk coefficient of each target trainee for each target task to be analyzed in each historical training:

[0086] Among them, S′ and L′ respectively represent the predefined allowable path deviation area and the allowable number of path change nodes.

[0087] As an optional example, to obtain the area enclosed by the predicted drill path and the actual drill path of each target trainee for each target task to be analyzed in each historical training, the specific method is:

[0088] Obtain the predicted drill path and the actual drill path of each target trainee for each target task to be analyzed in each historical training, and obtain the starting point and ending point of the predicted drill path and the starting point and ending point of the actual drill path of each target trainee for each target task to be analyzed in each historical training;

[0089] Connect the starting point of the predicted drill path of each target trainee for each target task to be analyzed in each historical training with the starting point of the actual drill path, and connect the ending point of the predicted drill path and the ending point of the actual drill path, so as to obtain the area enclosed by the predicted drill path and the actual drill path of each target trainee for each target task to be analyzed in each historical training.

[0090] As an optional example, the aforementioned target change nodes are specifically the intersection points of the predicted drill path and the actual drill path.

[0091] Therefore, the flight training simulation system based on full-cycle management proposed by the present invention not only analyzes the completion duration, reaction duration and path coincidence degree of the target trainees in the target trainee training quality assessment module, but also analyzes the risk of path deviation, overcomes the defect that the analysis of the risk of path deviation in the prior art is not deep enough, enriches the data source for the analysis of the flight training quality of the trainees, so as to ensure that the analysis of the flight training quality of the trainees is relatively comprehensive, guarantees the accuracy of the analysis of the flight training quality of the trainees, and thus improves the reference and value of the analysis result of the flight training quality of the trainees, which is beneficial for the relevant management personnel to control the safety when the subsequent trainees conduct actual flight training.

[0092] The target training personnel screening module is used to screen each qualified training personnel and each basic training personnel according to the flight training quality coefficient corresponding to each target training personnel.

[0093] In an optional embodiment, to screen each qualified training personnel and each basic training personnel, the specific screening method is as follows: compare the flight training quality coefficient corresponding to each target training personnel with a predefined flight training quality coefficient threshold. If the flight training quality coefficient corresponding to a certain target training personnel is greater than or equal to the flight training quality coefficient threshold, then mark this target training personnel as a qualified training personnel; otherwise, mark it as a basic training personnel.

[0094] The flight training simulation system based on full-cycle management proposed by the present invention screens qualified training personnel and basic training personnel in the target training personnel screening module, thereby laying a foundation for the subsequent retraining of qualified training personnel.

[0095] The qualified training personnel training module is used to set simulation scenarios of various wind levels through a flight training simulation platform and train each qualified training personnel in the simulation scenarios of various wind levels, so as to obtain the flight trajectories and completion durations corresponding to each qualified training personnel at various wind levels.

[0096] The flight training simulation system based on full-cycle management proposed by the present invention sets simulation scenarios of various wind levels through a flight training simulation platform in the qualified training personnel training module, thereby obtaining relevant information of qualified training personnel at various wind levels and providing data support for the subsequent evaluation of the emergency response capabilities of qualified training personnel.

[0097] The qualified training personnel training quality evaluation module is used to analyze the emergency response capability evaluation index corresponding to each qualified training personnel and comprehensively analyze the comprehensive flight training quality coefficient corresponding to each qualified training personnel accordingly.

[0098] In a specific embodiment of the present invention, for the emergency response capability evaluation index corresponding to each qualified training personnel, the specific analysis method is as follows:

[0099] Project the flight trajectories corresponding to each qualified training personnel at various wind levels onto the xoy plane, xoz plane, and yoz plane respectively, so as to obtain the projected trajectories of each qualified training personnel at various wind levels on the xoy plane, xoz plane, and yoz plane;

[0100] Obtain the starting value, each peak value, each trough value, and ending value based on the projected trajectories of each qualified training personnel at various wind levels on the xoy plane, and then obtain the slopes of each sub-trajectory corresponding to the projected trajectories of each qualified training personnel at various wind levels on the xoy plane accordingly where h represents the numbers of qualified training personnel, h = 1, 2, ..., g, f represents the numbers of wind levels, f = 1, 2, ..., t, and r represents the numbers of sub-trajectories, r = 1, 2, ..., w;

[0101] Analyze the flight stability coefficients corresponding to each qualified training personnel at each wind level in the xoy plane where K′ is the predefined allowable slope error corresponding to adjacent sub-trajectories, and w is the number of sub-trajectories. is the slope of the (r + 1)-th sub-trajectory corresponding to the projected trajectory of the h-th qualified training personnel at the f-th wind level in the xoy plane.

[0102] It should be noted that the specific method for obtaining the slopes of the sub-trajectories corresponding to the projected trajectories of each qualified training personnel at each wind level in the xoy plane is as follows:

[0103] Based on the projected trajectories of each qualified training personnel at each wind level in the xoy plane, obtain the starting value, each peak value, and each valley value, divide the projected trajectory into each sub-trajectory, and then obtain the coordinates of the starting point of each sub-trajectory and the coordinates of the end point Then, analyze the slopes of the sub-trajectories corresponding to the projected trajectories of each qualified training personnel at each wind level in the xoy plane accordingly

[0104] Similarly, analyze the flight stability coefficients corresponding to each qualified training personnel at each wind level in the xoz plane and the flight stability coefficients corresponding to each qualified training personnel at each wind level in the yoz plane.

[0105] Then, perform mean processing on the flight stability coefficients corresponding to each qualified training personnel at each wind level in the xoy plane, xoz plane, and yoz plane, and then obtain the flight stability coefficients corresponding to each qualified training personnel at each wind level, and perform mean processing on them to obtain the flight stability coefficient ξ corresponding to each qualified training personnel h .

[0106] Then, based on the completion duration FI corresponding to each qualified training personnel at each wind level hf Analyze the reaction ability evaluation coefficients corresponding to each qualified training personnel:

[0107] where t is the number of wind levels.

[0108] Finally, comprehensively analyze the emergency ability evaluation index ψ corresponding to each qualified training personnel h = ln(1 + ξ h *χ1 + ω h *χ2), where χ1 and χ2 respectively represent the predefined proportion factors corresponding to the flight stability coefficient and the reaction ability evaluation coefficient.

[0109] In a specific embodiment of the present invention, for the comprehensive flight training quality coefficient corresponding to each qualified trainee, the specific analysis method is as follows:

[0110] Extract the flight training quality coefficient μ corresponding to each qualified trainee according to the flight training quality coefficient corresponding to each target trainee h , and then, according to the calculation formula Analyze the comprehensive flight training quality coefficient corresponding to each qualified trainee, where δ1 and δ2 respectively represent the weight factors corresponding to the predefined flight training quality coefficient and the emergency response ability evaluation index.

[0111] The flight training simulation system based on full-cycle management proposed by the present invention analyzes the response ability and flight stability of qualified trainees in the qualified trainee training quality evaluation module, and then comprehensively analyzes the emergency response ability evaluation index of qualified trainees, thus making up for the deficiency in the prior art that mostly judges the emergency response ability of trainees when dealing with emergencies through manual judgment, improving the accuracy of the evaluation of the emergency response ability of trainees when dealing with emergencies, thereby ensuring the correct response and appropriate actions of trainees when dealing with emergencies, and then ensuring that trainees are familiar with and master the skills of operating aircraft, improving the ability to cope with unexpected events to a certain extent, and then reducing the incidence of risks and unexpected events in real flight and ensuring aviation safety.

[0112] A display terminal is used to obtain the flight training quality coefficient corresponding to each basic trainee according to the flight training quality coefficient corresponding to each target trainee, display it, and then display the comprehensive flight training quality coefficient corresponding to each qualified trainee.

[0113] Refer to Figure 2 As shown, the embodiment of the second aspect of the present invention proposes a flight training simulation method based on full-cycle management, including the following steps:

[0114] S1. Historical training information acquisition: Obtain the historical training information corresponding to each target trainee from the flight training simulation platform;

[0115] S2. Target trainee training quality evaluation: Based on the historical training information corresponding to each target trainee, and obtain the actual drill information corresponding to each target trainee from the flight training simulation platform, and then analyze the flight training quality coefficient corresponding to each target trainee accordingly;

[0116] S3. Target trainee screening: Screen each qualified trainee and each basic trainee according to the flight training quality coefficient corresponding to each target trainee;

[0117] S4. Training of Qualified Trainees: Simulate scenarios with different wind levels through a flight training simulation platform, and train each qualified trainee in the simulated scenarios with different wind levels, so as to obtain the flight trajectories and completion durations of each qualified trainee corresponding to different wind levels;

[0118] S5. Evaluation of the Training Quality of Qualified Trainees: Analyze the emergency response ability evaluation indexes corresponding to each qualified trainee, and comprehensively analyze the comprehensive flight training quality coefficients corresponding to each qualified trainee based on this;

[0119] S6. Display Processing: Obtain the flight training quality coefficients corresponding to each basic trainee based on the flight training quality coefficients corresponding to each target trainee, and display them. Furthermore, display the comprehensive flight training quality coefficients corresponding to each qualified trainee.

[0120] The above content is only an example and explanation of the structure of the present invention. Those skilled in the art of this technology can make various modifications or supplements to the described specific embodiments or use similar methods to replace them. As long as they do not deviate from the structure of the invention or exceed the scope defined by the present invention, they should fall within the protection scope of the present invention.

Claims

1. A flight training simulation system based on full-cycle management, characterized in that, Including: A historical training information acquisition module, configured to acquire the historical training information corresponding to each target trainee from a flight training simulation platform; A target trainee training quality evaluation module, configured to analyze the flight training quality coefficient corresponding to each target trainee based on the historical training information corresponding to each target trainee and according to the actual drill information corresponding to each target trainee acquired from the flight training simulation platform; A target trainee screening module, configured to screen qualified trainees and basic trainees based on the flight training quality coefficient corresponding to each target trainee; A qualified trainee training module, configured to set simulation scenarios of various wind levels through the flight training simulation platform and train each qualified trainee in the simulation scenarios of various wind levels to obtain the flight trajectories and completion durations corresponding to each qualified trainee at various wind levels; A qualified trainee training quality evaluation module, configured to analyze the emergency response ability evaluation index corresponding to each qualified trainee and comprehensively analyze the comprehensive flight training quality coefficient corresponding to each qualified trainee based on this; Among them, the analysis of the flight training quality coefficient corresponding to each target trainee includes: Extracting the instruction text, start time point, and end time point corresponding to each target task to which each historical training belongs from the historical training information corresponding to each target trainee; Extract the actual start operation time point and actual end operation time point of each historical training belonging to each target task from the actual drill information of each target trainee, and analyze the appropriate evaluation coefficient of the drill duration corresponding to each target task to which each historical training of each target trainee belongs based on this Obtain the path overlap lengths corresponding to each target task to which each historical training of each target training person belongs Where i represents the number of each target training person, i = 1, 2,..., n, m represents the number of each historical training, m = 1, 2,..., l, and p represents the number of each target task, p = 1, 2,..., q; Obtain the lengths of the expected drill paths of each target training personnel in each target task to which each historical training belongs Analyze the path overlap evaluation coefficients of each target trainee in each historical training belonging to each target task where e is the natural constant, and then analyze each target trainee in each historical training belonging to each target task that meets the requirements and each target task to be analyzed, and analyze the path deviation risk coefficients of each target trainee in each historical training belonging to each target task to be analyzed where j represents the number of each target task to be analyzed, j = 1, 2,..., k; Extract the path overlap evaluation coefficients of each target trainer in each historical training belonging to each target task that meets the requirements according to the path overlap evaluation coefficients of each target trainer in each historical training belonging to each target task where b represents the number of each target task that meets the requirements, b = 1, 2,..., d; Count the number M of each target training personnel corresponding to the historical training that meets the target task im and the number N of the target task to be analyzed im , and then comprehensively analyze the flight training quality coefficient corresponding to each target training personnel Among them d, l, and q respectively represent the number of tasks that meet the target task, the number of historical trainings, and the number of target tasks. ε′ is a predefined reference path overlap evaluation coefficient k is the number of target tasks to be analyzed. λ1 and λ2 respectively represent the influence weight coefficients corresponding to the quality evaluation of the predefined target task and the risk evaluation of the target task to be analyzed. η′ is a predefined reference path deviation risk coefficient And, the historical training information includes the instruction text, start time point, and end time point corresponding to each target task to which each historical training belongs; The actual drill information includes the actual drill path, actual start operation time point, and actual end operation time point corresponding to each target task to which each historical training belongs.

2. The flight training simulation system based on full-cycle management according to claim 1, wherein: The analysis of the appropriate evaluation coefficient of the drill duration corresponding to each target trainee for each target task to which each historical training belongs includes: Extract the start time points corresponding to each target task to which each historical training belongs from the historical training information of each target trainer and end time points Furthermore, based on this, construct the estimated completion duration of each target trainer for each target task to which each historical training belongs Extract the actual start operation time points of each historical training belonging to each target task from the actual drill information of each target trainer and the actual end operation time points Furthermore, construct the reaction duration of each target trainer in each historical training belonging to each target task based on this and the actual drill duration Analyze the appropriate evaluation coefficients of the drill durations corresponding to each historical training of each target trainer for each target task Where U′ is the predefined reference response duration, I″ is the allowable error between the predefined actual drill duration and the expected completion duration, and γ1 and γ2 respectively represent the correction factors corresponding to the appropriateness of the actual drill duration and the response duration predefined.

3. The flight training simulation system based on full-cycle management according to claim 2, wherein: The path deviation risk coefficient of each target trainer in each historical training for each target task to be analyzed includes: Obtain the area enclosed by the predicted drill path and the actual drill path of each target training person in each historical training for each target task to be analyzed, and then obtain the corresponding area And extract the number of target change nodes from it Analyzing the path deviation risk coefficient of each target trainee for each target task to be analyzed to which each historical training belongs; Where S′ and L′ respectively represent the area of the predefined allowable path offset and the allowable number of path change nodes.

4. The flight training simulation system based on full-cycle management according to claim 1, wherein: The emergency response ability evaluation index corresponding to each qualified trainee includes: Projecting the flight trajectories corresponding to each qualified trainee at various wind levels onto the xoy plane, xoz plane, and yoz plane respectively, so as to obtain the projected trajectories of each qualified trainee at various wind levels on the xoy plane, xoz plane, and yoz plane; Obtain the starting value, each peak value, each trough value, and the ending value based on the projected trajectories of each qualified training personnel in the xoy plane at each wind level, and then obtain the slope of each sub-trajectory corresponding to the projected trajectories of each qualified training personnel in the xoy plane at each wind level accordingly Where h represents the number of each qualified training personnel, h = 1, 2,..., g, f represents the number of each wind level, f = 1, 2,..., t, and r represents the number of each sub-trajectory, r = 1, 2,..., w; Analyze the flight stability coefficients corresponding to each qualified training personnel in the xoy plane at each wind level where K′ is the allowable slope error corresponding to adjacent sub-trajectories predefined, and w is the number of sub-trajectories is the slope of the (r + 1)-th sub-trajectory corresponding to the projected trajectory of the h-th qualified training personnel in the xoy plane at the f-th wind level Continuing to analyze the flight stability coefficient corresponding to each qualified trainee at various wind levels on the xoz plane and the flight stability coefficient corresponding to each qualified trainee at various wind levels on the yoz plane using the above method; The flight stability coefficients corresponding to each qualified training personnel in the xoy plane, xoz plane, and yoz plane at each wind level are averaged, so as to obtain the flight stability coefficients corresponding to each qualified training personnel at each wind level, and then these coefficients are averaged to obtain the flight stability coefficient ξ corresponding to each qualified training personnel h ; According to the completion time FI corresponding to each wind force level for each qualified trainee hf Analyze the response ability evaluation coefficient corresponding to each qualified trainee: where t is the number of wind force levels; Comprehensively analyze the emergency response ability evaluation index ψ corresponding to each qualified training personnel h = ln(1 + ξ h * χ1 + ω h * χ2), where χ1 and χ2 respectively represent the proportionality factors corresponding to the predefined flight stability coefficient and reaction ability evaluation coefficient.

5. The flight training simulation system based on full-cycle management according to claim 4, wherein: The comprehensive flight training quality coefficient corresponding to each qualified trainee includes: Extract the flight training quality coefficient μ corresponding to each qualified trainer according to the flight training quality coefficient corresponding to each target trainee h , and then according to the calculation formula Analyze the comprehensive flight training quality coefficient corresponding to each qualified trainer, where δ1 and δ2 respectively represent the weight factors corresponding to the predefined flight training quality coefficient and the emergency response ability evaluation index 6. The flight training simulation system based on full-cycle management according to any one of claims 1-5, characterized in that: The system further includes a display terminal, configured to acquire the flight training quality coefficient corresponding to each basic trainee based on the flight training quality coefficient corresponding to each target trainee and display it, and further display the comprehensive flight training quality coefficient corresponding to each qualified trainee.

7. A flight training simulation method based on full-cycle management, characterized in that, Including: S1. Historical training information acquisition: Acquiring the historical training information corresponding to each target trainee from the flight training simulation platform; S2. Evaluation of the training quality of target trainees: Based on the historical training information corresponding to each target trainee, and obtaining the actual drill information corresponding to each target trainee from the flight training simulation platform, and then analyzing the flight training quality coefficient corresponding to each target trainee accordingly; S3. Selection of target trainees: Selecting each qualified trainee and each basic trainee based on the flight training quality coefficient corresponding to each target trainee; S4. Training of qualified trainees: Set up simulation scenarios of various wind levels through the flight training simulation platform, and train each qualified trainee in the simulation scenarios of various wind levels, and then obtain the flight trajectories and completion times corresponding to each qualified trainee at each wind level; S5. Evaluation of the training quality of qualified trainees: Analyze the emergency response ability evaluation index corresponding to each qualified trainee, and comprehensively analyze the comprehensive flight training quality coefficient corresponding to each qualified trainee accordingly; S6. Display processing: Obtain the flight training quality coefficient corresponding to each basic trainee based on the flight training quality coefficient corresponding to each target trainee, and display it, and then display the comprehensive flight training quality coefficient corresponding to each qualified trainee; Among them, in S2, analyzing the flight training quality coefficient corresponding to each target trainee specifically includes the following process: Extract the instruction text, start time point, and end time point corresponding to each target task to which each historical training belongs from the historical training information corresponding to each target trainee; Extract the actual start operation time point and actual end operation time point of each historical training belonging to each target task from the actual drill information of each target trainee, and analyze the appropriate evaluation coefficient of the drill duration corresponding to each target task to which each historical training of each target trainee belongs based on this. Obtain the path overlap lengths corresponding to each target task to which each historical training of each target trainee belongs Where i represents the number of each target trainee, i = 1, 2,..., n, m represents the number of each historical training, m = 1, 2,..., l, and p represents the number of each target task, p = 1, 2,..., q; Obtain the lengths of the expected drill paths of each target trainer in each target task to which each historical training belongs Analyze the path overlap evaluation coefficients of each target training personnel in each historical training belonging to each target task where e is the natural constant, and then analyze each target training personnel in each historical training belonging to each target task that meets the requirements and each target task to be analyzed, and analyze the path deviation risk coefficients of each target training personnel in each historical training belonging to each target task to be analyzed where j represents the number of each target task to be analyzed, j = 1, 2,..., k; Extract the path overlap evaluation coefficients of each target trainer in each historical training belonging to each target task that meets the requirements according to the path overlap evaluation coefficients of each target trainer in each historical training belonging to each target task where b represents the number of each target task that meets the requirements, b = 1, 2,..., d; Count the number \(M\) of each target training personnel corresponding to the target tasks that meet the requirements in each historical training im and the number \(N\) of the target tasks to be analyzed im , and then comprehensively analyze the flight training quality coefficient corresponding to each target training personnel Among them \(d\), \(l\), and \(q\) respectively represent the number of target tasks that meet the requirements, the number of historical trainings, and the number of target tasks, \(\varepsilon'\) is a predefined reference path overlap evaluation coefficient \(k\) is the number of target tasks to be analyzed, \(\lambda_1\) and \(\lambda_2\) respectively represent the influence weight coefficients corresponding to the quality evaluation of the predefined target tasks and the risk evaluation of the target tasks to be analyzed, and \(\eta'\) is a predefined reference path deviation risk coefficient; And, the historical training information includes the instruction text, start time point, and end time point corresponding to each target task to which each historical training belongs; The actual drill information includes the actual drill path, actual start operation time point, and actual end operation time point corresponding to each target task to which each historical training belongs.

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