Civil aviation flight trainee training method and system based on health training index evaluation

Abstract

The invention discloses a civil aviation flight trainee training method and system based on health training index evaluation, and relates to the technical field of flight trainee training, and the method comprises the steps: generating an initial training scheme according to historical training data; calculating to obtain a health training index based on the initial training scheme and a preset training index evaluation model, and judging to obtain a first rotating speed and a second rotating speed of a first training type and a third rotating speed and a fourth rotating speed of a second training type in variable speed training by utilizing the health training index, a first training time length and a second training time length of the first training type and a third training time length and a fourth training time length of the second training type in the constant speed training are obtained through judgment; and generating an optimal training improvement scheme corresponding to the flight student based on the indexes, and performing association rule optimization on the health training index, the training feeling and the improvement scheme index item to generate an optimal special training index improvement scheme according with the physical function and psychological state of the civil aviation flight student.

Description

Technical Field

[0001] The present invention relates to the technical field of flight trainee training, and more particularly to a civil aviation flight trainee training method and system based on health training index evaluation. Background Art

[0002] Civil aviation pilots often face high-pressure, extreme working conditions. They must possess exceptional physical and mental adaptability to maintain peak performance in high-altitude flight, rapidly fluctuating air pressure, prolonged concentration, and the ability to make decisions in emergency situations. To ensure flight safety and passenger well-being, upon becoming a pilot, civil aviation trainees must not only acquire flying skills and aviation knowledge, but also undergo intensive specialized training (such as fixed rolls and spiral staircases) to ensure civil aviation flight safety.

[0003] Roll and staircase training are an integral part of civil aviation flight trainee professional training, particularly for pilots. As one of the "three magic tools" of physical training for civil aviation flight trainees, these two training methods are widely used to train pilots' vestibular function, spatial orientation, and body coordination. A roll is a rotating disc approximately 2 meters in diameter that primarily rotates horizontally, used to train pilots' spatial orientation and sense of imbalance. A staircase is a long, approximately 4-meter-long ladder that primarily rotates vertically. Using a rotating and tilting mechanical arm, it simulates the dynamic environments likely to be encountered during flight, enhancing pilots' load tolerance and flight endurance. By combining roll and staircase training, a pilot's 360-degree specialized training needs can be met.

[0004] Current traditional fixed roll and spiral staircase training often relies on the instructor's experience and judgment and the subjective feelings of the flight trainees, lacks quantitative and refined evaluation methods, and has poor training effects. At the same time, the health and safety of flight trainees cannot be guaranteed during the special training process. How to obtain a scientific special training program with the best training effect and the lowest training risk is a current problem. Summary of the Invention

[0005] The purpose of the present invention is to provide a civil aviation flight trainee training method and system based on health training index assessment to solve the problems existing in the above-mentioned background technology.

[0006] The above technical objectives of the present invention are achieved through the following technical solutions: In a first aspect, the present application provides a civil aviation flight trainee training method based on health training index assessment, comprising the following specific steps: Obtaining historical training indicator data of each flight student during their historical training process and generating an initial training plan based on the historical training data, the historical training indicator data including physical function data and psychological state data; A health training index is calculated based on the initial training plan and a preset training index evaluation model, and the health training index is used to determine a first rotational speed and a second rotational speed of a first training type in the variable speed training of the training process, as well as a third rotational speed and a fourth rotational speed of a second training type, and a first training duration and a second training duration of the first training type, as well as a third training duration and a fourth training duration of the second training type in the uniform speed training of the training process; Based on the first rotation speed, the second rotation speed, the third rotation speed, the fourth rotation speed, the first training duration, the second training duration, the third training duration, the fourth training duration, and the determined target training index, an optimal training improvement plan for the corresponding flight student is generated, and the corresponding pilot is trained using the optimal training improvement plan.

[0007] On the basis of the above technical solution, the present invention can also be improved as follows.

[0008] Furthermore, the first rotation speed and the second rotation speed of the first training type, and the third rotation speed and the fourth rotation speed of the second training type in the above-mentioned speed change training are obtained by: obtaining current training indicator data of the first training type in the speed-changing training, and calculating a corresponding health training index using a preset training indicator evaluation model; when the health training index does not exceed a threshold value for the first time, determining the current rotation speed of the speed-changing training at that time as the first rotation speed, changing the rotation direction of the speed-changing training until the health training index does not exceed the threshold value again, and determining the current rotation speed of the speed-changing training at that time as the second rotation speed; Adjust the first training type to the second training type, obtain the current training index data of the second training type, and use the preset training index evaluation model to calculate the corresponding health training index; when the health training index does not exceed the threshold for the first time, determine the current rotation speed of the speed change training at this time as the third rotation speed, change the rotation direction of the speed change training until the health training index does not exceed the threshold again, and determine the current rotation speed of the speed change training at this time as the fourth rotation speed.

[0009] Furthermore, the first training duration and the second training duration of the first training type, and the third training duration and the fourth training duration of the second training type in the above-mentioned uniform speed training are obtained by: obtaining current training indicator data of the first training type in the uniform speed training, and calculating the corresponding health training index using a preset training indicator evaluation model; when the health training index does not exceed a threshold for the first time, determining the current training duration of the uniform speed training at this time as the first training duration, changing the rotation direction of the uniform speed training until the health training index does not exceed the threshold again, and determining the current training duration of the uniform speed training at this time as the second training duration; Adjust the first training type to the second training type, obtain the current training index data of the second training type, and use the preset training index evaluation model to calculate the corresponding health training index; when the health training index does not exceed the threshold for the first time, determine the current training duration of the uniform-speed training at this time as the third training duration, change the rotation direction of the uniform-speed training until the health training index does not exceed the threshold again, and determine the current training duration of the uniform-speed training at this time as the fourth training duration.

[0010] Furthermore, the above health training index is specifically: ,in: ; ; Where, Y represents the health training index, R 2 represents the mental health coefficient, R 1 represents the physical function coefficient, Y 1 Indicates body function parameters, Y 2 represents the mental health parameter, A n and x n Represents the physical function coefficient n The weight and value of each indicator, B m and z m Represents the psychological health coefficient m The weight and value of each indicator.

[0011] Furthermore, the above-mentioned body function parameters are specifically: ,in, m =2 （k-p） +2* k + n c , ; Where, Y 1 Indicates body function parameters, represents the Gaussian dependence function, x i Indicates the first parameter of body function i The value of the indicator, Indicates the number of combinations of body function parameters, a l represents a constant variable,n Indicates the number of indicators in the body function parameters, m represents the number of rules, k is a constant variable, k =7; p represents a constant variable, when k <5 o'clock p Take 0, when k >5 o'clock p Take 1; n c Represents the number of center points. n When it is an odd number, the number of center points is 1. n When it is an even number, the number of center points is 2; c n represents the research variable value, a n represents the width of the Gaussian distribution, x Indicates the maximum absolute value of the research variable.

[0012] Furthermore, the above mental health parameters are specifically: ; Where, Y 2 represents the mental health parameter, a 0 、 b i 、 c i 、 d ij represent constant variables, N represents the number of indicators in the mental health coefficient, x Ni Indicates the psychological health coefficient N The first indicator i eigenvalues, x Nij Indicates the psychological health coefficient N The first indicator ij eigenvalues.

[0013] Furthermore, the above generates the optimal training improvement plan for the corresponding flight trainee, specifically: After determining the fourth training duration, the current health training index is determined as the target training index, the corresponding flight trainee's training experience is obtained, and a training database is constructed using the target training index, training experience, and training intensity data of each flight trainee, where the training intensity data includes the first rotation speed, the second rotation speed, the third rotation speed, the fourth rotation speed, the first training duration, the second training duration, the third training duration, and the fourth training duration; Based on each target training index and training experience, the Aprioni algorithm in RStudio is used to perform association rule analysis on the training intensity data indicators, and the support and confidence corresponding to each training intensity data are calculated. The training intensity data with support and confidence greater than the preset values ​​are determined as the target intensity data; Calculating the Euclidean distances between each target intensity data in the target training index and the training experience, and performing cluster analysis based on the calculated Euclidean distances to obtain multiple training program categories including multiple target intensity data and their corresponding target training indexes and training experiences; The corresponding flight trainee target training index and training experience are used to screen out the training program category with the largest Euclidean distance from multiple training program categories, and the target intensity data with the largest Euclidean distance from the flight trainee's target training index and training experience in this training program category is determined as the optimal training improvement program.

[0014] In a second aspect, the present application provides a civil aviation flight trainee training system based on health training index assessment, which is applied to any civil aviation flight trainee training method based on health training index assessment in the first aspect, including: The first module is used to obtain historical training indicator data of each flight student during their historical training process and generate an initial training plan based on the historical training data. The historical training indicator data includes physical function data and psychological state data; The second module is configured to calculate a health training index based on the initial training plan and a preset training index evaluation model, and use the health training index to determine a first rotational speed and a second rotational speed of a first training type in the variable speed training of the training process, as well as a third rotational speed and a fourth rotational speed of a second training type, and to determine a first training duration and a second training duration of the first training type, as well as a third training duration and a fourth training duration of the second training type in the uniform speed training of the training process; The third module is used to generate an optimal training improvement plan for the corresponding flight student based on the first rotation speed, the second rotation speed, the third rotation speed, the fourth rotation speed, the first training duration, the second training duration, the third training duration, the fourth training duration, and the determined target training index, and use the optimal training improvement plan to train the corresponding pilot.

[0015] In a third aspect, the present application provides an electronic device comprising a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein the processor implements any one of the methods in the first aspect when executing the computer program.

[0016] In a fourth aspect, the present application provides a non-transitory computer-readable storage medium, which stores computer instructions, and the computer instructions enable a computer to execute any one of the methods in the first aspect.

[0017] Compared with the prior art, the present invention has at least the following beneficial effects: In this application, the training data of civil aviation flight trainees during special training such as fixed roll and spiral staircase are combined with physiological and psychological health indicators to form a comprehensive evaluation health training indicator system, including physiological health indicators such as BMI, heart rate, body fat percentage, vital capacity, blood pressure, blood oxygen content, respiratory rate, as well as psychological state indicators such as daily behavior, emotions, stress, anxiety, depression, etc. of civil aviation flight trainees, which can realize the quantitative evaluation of health training of civil aviation flight trainees with multi-dimensional indicators.

[0018] In this application, a health training program database suitable for civil aviation flight trainees of different grades was established, and a training index evaluation model based on physical function and psychological state characteristics was constructed. Through a mixed cross-superposition effect, a health training index evaluation model based on the physical function-psychological state of civil aviation flight trainees was constructed to more accurately and in real time evaluate the health risk issues of civil aviation flight trainees during training and provide a health training index.

[0019] In this application, a method for generating a health training index improvement plan for civil aviation flight trainees based on training feelings is established. Based on the output training results, the training volume and training intensity are evaluated through a statistical analysis database. With the trainees' training feeling data as a reference, the health training index, training feelings and improvement plan indicators are optimized through association rules to generate the optimal special training index improvement plan that meets the physical function and psychological state of civil aviation flight trainees. BRIEF DESCRIPTION OF THE DRAWINGS

[0020] The drawings described herein are used to provide a further understanding of the embodiments of the present invention, constitute a part of this application, and do not constitute a limitation of the embodiments of the present invention. In the drawings: Figure 1 A flowchart of a training method according to an embodiment of the present invention; Figure 2 A connection diagram of a training system according to an embodiment of the present invention; Figure 3 Schematic diagram of the connection of electronic equipment in an embodiment of the present invention. DETAILED DESCRIPTION

[0021] To make the objectives, technical solutions, and advantages of the embodiments of the present invention more clear, the technical solutions of the embodiments of the present invention will be clearly and completely described below in conjunction with the accompanying drawings of the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Generally, the components of the embodiments of the present invention described and shown in the drawings herein can be arranged and designed in various different configurations.

[0022] Therefore, the following detailed description of the embodiments of the present invention provided in the accompanying drawings is not intended to limit the scope of the invention as claimed, but rather merely represents selected embodiments of the present invention. All other embodiments derived by persons of ordinary skill in the art based on the embodiments of the present invention without creative effort shall fall within the scope of protection of the present invention.

[0023] It should be noted that similar reference numerals and letters denote similar items in the following drawings, and therefore, once an item is defined in one drawing, it does not need to be further defined or explained in subsequent drawings.

[0024] In the description of the embodiments of the present invention, "a plurality of" means at least two.

[0025] Example 1: This example provides a training method for civil aviation flight trainees based on health training index assessment, such as Figure 1 As shown, the following specific steps are included: S1. Historical training indicator data for each student pilot during their training is obtained, and an initial training plan is generated based on the historical training data. The historical training indicator data includes physical function data and psychological state data. Specifically, the training methods in this embodiment include two types: fixed roll training and spiral staircase training.

[0026] The system collects physical examination data, daily physiological indicators, psychological test data, and historical training data for fixed-roll and spiral staircases from representative civil aviation flight trainees of different grades to establish a health database. Based on this historical data, an initial training plan for each civil aviation flight trainee is recommended. Initial physical health and psychological indicators are measured before training. During training, the trainees' physical function parameters are collected in real time to generate parameter samples. Specifically, real-time physical function data, including heart rate, blood oxygen level, and respiratory rate, is collected using monitoring watches / bracelets and other monitoring equipment. Before training, mental health indicator data, including daily behavior, mood, stress, anxiety, and depression, is submitted through a questionnaire system. All measured physical function data for the civil aviation flight trainees is combined into a first reference sample, and the psychological indicator data is combined into a second reference sample, which are then stored in the health database. The first and second parameter samples are divided into multiple first-level samples based on the trainee's grade. Each first-level sample is then divided into multiple second-level samples based on the testee's BMI. Finally, a health training index assessment model tailored to the physiological and psychological characteristics of trainees of different grades and body types is established.

[0027] S2. A health training index is calculated based on the initial training plan and a preset training index evaluation model. The health training index is used to determine the first rotation speed and the second rotation speed of the first training type in the variable speed training of the training process, as well as the third rotation speed and the fourth rotation speed of the second training type. The first training duration and the second training duration of the first training type in the uniform speed training of the training process, as well as the third training duration and the fourth training duration of the second training type, are determined.

[0028] The above health training index is specifically as follows: ,in: ; ; Where, Y represents the health training index, R 2 represents the mental health coefficient, R 1 represents the physical function coefficient, Y 1 Indicates body function parameters, Y 2 represents the mental health parameter, A n and x n Represents the physical function coefficient n The weight and value of each indicator, B mand z m Represents the psychological health coefficient m The weight and value of each indicator.

[0029] Furthermore, the above-mentioned body function parameters are specifically: ,in, m =2 （k-p） +2* k + n c , ; Where, Y 1 Indicates body function parameters, represents the Gaussian dependence function, x i Indicates the first parameter of body function i The value of the indicator, Indicates the number of combinations of body function parameters, a l represents a constant variable, n Indicates the number of indicators in the body function parameters, m represents the number of rules, k is a constant variable, k =7; p represents a constant variable, when k <5 o'clock p Take 0, when k >5 o'clock p Take 1; n c Represents the number of center points. n When it is an odd number, the number of center points is 1. n When it is an even number, the number of center points is 2; c n represents the research variable value, a n represents the width of the Gaussian distribution, x Indicates the maximum absolute value of the research variable.

[0030] Furthermore, the above mental health parameters are specifically: ; Where, Y 2 represents the mental health parameter, a 0 、 b i 、 c i 、 d ij represent constant variables, Nrepresents the number of indicators in the mental health coefficient, x Ni Indicates the psychological health coefficient N The first indicator i eigenvalues, x Nij Indicates the psychological health coefficient N The first indicator ij eigenvalues.

[0031] Optionally, the first rotation speed and the second rotation speed of the first training type, and the third rotation speed and the fourth rotation speed of the second training type in the above-mentioned speed-varying training are obtained by: S21, obtain the current training index data of the first training type in the speed change training, and use the preset training index evaluation model to calculate the corresponding health training index; when the health training index does not exceed the threshold for the first time, the current rotation speed of the speed change training at this time is determined as the first rotation speed, and the rotation direction of the speed change training is changed until the health training index does not exceed the threshold again, and the current rotation speed of the speed change training at this time is determined as the second rotation speed.

[0032] Among them, in the above-mentioned mental health coefficient R 2 and physical function coefficient R 1 In the calculation formula, the relevant indicators of the physical function coefficient in this embodiment are BMI, heart rate, body fat percentage, vital capacity, blood pressure, blood oxygen content, and respiratory rate. The relevant indicators of the mental health coefficient are daily behavior, mood, stress, anxiety, and depression. The above formula is expressed as follows: ; .

[0033] S22, adjust the first training type to the second training type, obtain the current training index data of the second training type, and use the preset training index evaluation model to calculate the corresponding health training index; when the health training index does not exceed the threshold for the first time, determine the current rotation speed of the speed change training at this time as the third rotation speed, change the rotation direction of the speed change training until the health training index does not exceed the threshold again, and determine the current rotation speed of the speed change training at this time as the fourth rotation speed.

[0034] Specifically, the first training type mentioned above is fixed roll training, and the second training type is spiral staircase training. In the speed change training link, the speed R gradually increases from 0 during the whole process. When the flight student health training index Y ≥ 60 health threshold, the fixed roll or spiral staircase speed is adjusted to R+1, and this is repeated; when Y < 60 health threshold, it is determined to be the first risk warning, and it is adjusted to rotate in the opposite direction again (R starts from 0), and training is continued after a certain period of rest; when the second risk warning is issued, the training method is determined. If it is fixed roll training, the training is suspended. When the physiological indicators return to normal (heart rate, blood pressure, and respiratory rate return to the pre-training level), it is adjusted to spiral staircase training, and the above steps are repeated at the same time; if it is spiral staircase training, the training is suspended, and the training speed R is output (R1, R2, R3, and R4 represent the first rotation speed, the second rotation speed, the third rotation speed, and the fourth rotation speed, respectively), and the speed change training link ends.

[0035] Optionally, the first training duration and the second training duration of the first training type, and the third training duration and the fourth training duration of the second training type in the above-mentioned uniform speed training, are obtained by: S23, obtain the current training index data of the first training type in the uniform speed training, and use the preset training index evaluation model to calculate the corresponding health training index; when the health training index does not exceed the threshold for the first time, the current training duration of the uniform speed training at this time is determined as the first training duration, and the rotation direction of the uniform speed training is changed until the health training index does not exceed the threshold again, and the current training duration of the uniform speed training at this time is determined as the second training duration.

[0036] S24, adjust the first training type to the second training type, obtain the current training index data of the second training type, and use the preset training index evaluation model to calculate the corresponding health training index; when the health training index does not exceed the threshold for the first time, determine the current training duration of the uniform speed training at this time as the third training duration, change the rotation direction of the uniform speed training until the health training index does not exceed the threshold again, and determine the current training duration of the uniform speed training at this time as the fourth training duration.

[0037] Specifically, uniform speed training is after the end of the speed change link. The speed in the whole process can be the average value in the speed change link. The specific process is the same as that in the speed change link. When the health training index Y ≥ 60 health threshold, continue to maintain the speed R1 / 2 and record the training time, and repeat this process; until the training risk reaches the health threshold, it is judged as the first risk warning, pause and rest and then continue training, and adjust to the opposite direction to rotate again (the speed is adjusted to R2 / 2 at this time); when the second risk warning is issued, the training method is determined. If it is fixed roll training, pause the training and wait until the physiological indicators return to normal. When the heart rate, blood pressure and respiratory rate return to the pre-training level, adjust to spiral staircase training and maintain the speed at R3 / 2. When the first risk warning occurs, pause and continue training, and adjust the speed to R4 / 2. When the second risk warning occurs, determine the training method. If it is spiral staircase training, end the training, output the training time T (T1, T2, T3, T4 represent the first training time, second training time, third training time, fourth training time, respectively), and output the final health training comprehensive index Y (target training index), and save all current health indicators and special training data results.

[0038] It should be noted that if there are any safety risks or discomfort symptoms during training, the trainee or safety officer can manually pause the training using the emergency button next to the equipment.

[0039] S3, based on the first rotation speed, the second rotation speed, the third rotation speed, the fourth rotation speed, the first training duration, the second training duration, the third training duration, the fourth training duration, and the determined target training index, generates an optimal training improvement plan for the corresponding flight student, and uses the optimal training improvement plan to train the corresponding pilot.

[0040] Optionally, the above-mentioned optimal training improvement plan for the corresponding flight trainee is specifically as follows: S31. After determining the fourth training duration, the current health training index is determined as the target training index, the training feeling of the corresponding flight student is obtained, and a training database is constructed through the target training index, training feeling and training intensity data of each flight student. The training intensity data includes the first rotation speed, the second rotation speed, the third rotation speed, the fourth rotation speed, the first training duration, the second training duration, the third training duration and the fourth training duration.

[0041] Among them, when pausing training and ending training, students score their current training feelings, including dizziness, imbalance and tolerance, so as to comprehensively obtain the training feeling under the current training data. When the evaluation result is less than 50%, the training feeling is considered to be good, otherwise it is considered to be poor.

[0042] S32, based on each target training index and training experience, use the Aprioni algorithm in RStudio to perform association rule analysis on the training intensity data indicators, calculate the support and confidence corresponding to each training intensity data, and determine the training intensity data whose support and confidence are greater than the preset values ​​as the target intensity data.

[0043] Among them, the Apriori function is used to perform association rule analysis on the scheme and substitute the various data in this embodiment to obtain the support and confidence corresponding to each training intensity data, and the training intensity data with support and confidence greater than 50% are screened out as the target intensity data.

[0044] S33, calculating the Euclidean distances between each target intensity data in the target training index and the training feeling, and performing cluster analysis based on the calculated Euclidean distances to obtain multiple training program categories including multiple target intensity data and their corresponding target training indexes and training feelings.

[0045] S34, using the corresponding flight student's target training index and training experience, screen out the training program category with the largest Euclidean distance from multiple training program categories, and determine the target intensity data in the training program category that has the largest Euclidean distance with the flight student's target training index and training experience as the optimal training improvement program.

[0046] Example 2: This embodiment of the present application provides a civil aviation flight trainee training system based on health training index assessment, which is applied to any civil aviation flight trainee training method based on health training index assessment in Example 1, such as Figure 2 Shown, including: The first module is used to obtain the historical training index data of each flight student during the historical training process and generate an initial training plan based on the historical training data. The historical training index data includes physical function data and psychological state data.

[0047] The second module is used to calculate the health training index based on the initial training plan and the preset training index evaluation model, and use the health training index to determine the first rotation speed and the second rotation speed of the first training type in the variable speed training of the training process, as well as the third rotation speed and the fourth rotation speed of the second training type, and determine the first training duration and the second training duration of the first training type in the uniform speed training of the training process, as well as the third training duration and the fourth training duration of the second training type.

[0048] The third module is used to generate an optimal training improvement plan for the corresponding flight student based on the first rotation speed, the second rotation speed, the third rotation speed, the fourth rotation speed, the first training duration, the second training duration, the third training duration, the fourth training duration, and the determined target training index, and use the optimal training improvement plan to train the corresponding pilot.

[0049] Example 3: This embodiment of the present application provides an electronic device, such as Figure 3 As shown, it includes a memory, a processor, and a computer program stored in the memory and executable on the processor. When the processor executes the computer program, any one of the methods in Example 1 is implemented.

[0050] Example 4: An embodiment of the present application provides a non-transitory computer-readable storage medium, which stores computer instructions, and the computer instructions enable a computer to execute any one of the methods in Example 1.

[0051] The specific implementation methods described above further illustrate the objectives, technical solutions and beneficial effects of the present invention in detail. It should be understood that the above description is only a specific implementation method of the present invention and is not intended to limit the scope of protection of the present invention. Any modifications, equivalent substitutions, improvements, etc. made within the spirit and principles of the present invention should be included in the scope of protection of the present invention.

Claims

1. A civil aviation flight trainee training method based on health training index assessment, characterized in that: The specific steps include: Obtaining historical training indicator data of each flight student during their historical training process, and generating an initial training plan based on the historical training data, wherein the historical training indicator data includes physical function data and psychological state data; A health training index is calculated based on the initial training plan and a preset training index evaluation model, and the health training index is used to determine the first rotation speed and the second rotation speed of the first training type in the variable speed training of the training process, as well as the third rotation speed and the fourth rotation speed of the second training type; and the first training duration and the second training duration of the first training type, as well as the third training duration and the fourth training duration of the second training type in the uniform speed training of the training process; Based on the first rotation speed, the second rotation speed, the third rotation speed, the fourth rotation speed, the first training duration, the second training duration, the third training duration, the fourth training duration, and the determined target training index, an optimal training improvement plan for the corresponding flight student is generated, and the corresponding pilot is trained using the optimal training improvement plan.

2. The civil aviation flight student training method based on health training index assessment according to claim 1, characterized in that: The first rotation speed and the second rotation speed of the first training type, and the third rotation speed and the fourth rotation speed of the second training type in the speed-variable training are obtained by: obtaining current training indicator data of the first training type in the speed-changing training, and calculating a corresponding health training index using a preset training indicator evaluation model; when the health training index does not exceed a threshold value for the first time, determining the current rotation speed of the speed-changing training at that time as the first rotation speed, changing the rotation direction of the speed-changing training until the health training index does not exceed the threshold value again, and determining the current rotation speed of the speed-changing training at that time as the second rotation speed; Adjust the first training type to the second training type, obtain current training indicator data of the second training type, and calculate the corresponding health training index using a preset training indicator evaluation model; When the health training index does not exceed the threshold for the first time, the current rotation speed of the speed change training at this time is determined as the third rotation speed, and the rotation direction of the speed change training is changed until the health training index does not exceed the threshold again, and the current rotation speed of the speed change training at this time is determined as the fourth rotation speed.

3. The civil aviation flight student training method based on health training index assessment according to claim 1, characterized in that: The first training duration and the second training duration of the first training type in the uniform speed training, as well as the third training duration and the fourth training duration of the second training type, are obtained in the following manner: obtaining current training indicator data of the first training type in the uniform speed training, and calculating the corresponding health training index using a preset training indicator evaluation model; when the health training index does not exceed a threshold for the first time, determining the current training duration of the uniform speed training at this time as the first training duration, changing the rotation direction of the uniform speed training until the health training index does not exceed the threshold again, and determining the current training duration of the uniform speed training at this time as the second training duration; Adjust the first training type to the second training type, obtain current training indicator data of the second training type, and calculate the corresponding health training index using a preset training indicator evaluation model; When the health training index does not exceed the threshold for the first time, the current training duration of the uniform speed training at this time is determined as the third training duration, and the rotation direction of the uniform speed training is changed until the health training index does not exceed the threshold again, and the current training duration of the uniform speed training at this time is determined as the fourth training duration.

4. The civil aviation flight trainee training method based on health training index assessment according to any one of claims 1 to 3, characterized in that: The health training index is specifically: ,in: ； ； Where, Y represents the health training index, R 2 represents the mental health coefficient, R 1 represents the physical function coefficient, Y 1 Indicates body function parameters, Y 2 represents the mental health parameter, A n and x n Represents the physical function coefficient n The weight and value of each indicator, B m and z m Represents the psychological health coefficient m The weight and value of each indicator.

5. The civil aviation flight student training method based on health training index assessment according to claim 4, characterized in that: The body function parameters are specifically: ,in, m =2 （k-p） +2* k + n c , ; Where, Y 1 Indicates body function parameters, represents the Gaussian dependence function, x i Indicates the first parameter of body function i The value of the indicator, Indicates the number of combinations of body function parameters, a l represents a constant variable, n Indicates the number of indicators in the body function parameters, m represents the number of rules, k is a constant variable, k =7; p represents a constant variable, when k <5 o'clock p Take 0, when k >5 o'clock p Take 1; n c Represents the number of center points. n When it is an odd number, the number of center points is 1. n When it is an even number, the number of center points is 2; c n represents the research variable value, a n represents the width of the Gaussian distribution, x Indicates the maximum absolute value of the research variable.

6. The civil aviation flight student training method based on health training index assessment according to claim 4, characterized in that: The mental health parameters are specifically: ； Where, Y 2 represents the mental health parameter, a 0 、 b i 、 c i 、 d ij represent constant variables, N represents the number of indicators in the mental health coefficient, x Ni Indicates the psychological health coefficient N The first indicator i eigenvalues, x Nij Indicates the psychological health coefficient N The first indicator ij eigenvalues.

7. The civil aviation flight student training method based on health training index assessment according to claim 3, characterized in that: The generation of the optimal training improvement plan for the corresponding flight trainee is specifically as follows: After determining the fourth training duration, determining the current health training index as the target training index, obtaining the corresponding flight trainee's training experience, and constructing a training database based on each flight trainee's target training index, training experience, and training intensity data, where the training intensity data includes the first rotation speed, the second rotation speed, the third rotation speed, the fourth rotation speed, the first training duration, the second training duration, the third training duration, and the fourth training duration; Based on each target training index and training experience, the Aprioni algorithm in RStudio is used to perform association rule analysis on the training intensity data indicators, and the support and confidence corresponding to each training intensity data are calculated. The training intensity data with support and confidence greater than the preset values ​​are determined as the target intensity data; Calculating the Euclidean distances between each target intensity data in the target training index and the training experience, and performing cluster analysis based on the calculated Euclidean distances to obtain multiple training program categories including multiple target intensity data and their corresponding target training indexes and training experiences; The corresponding flight trainee target training index and training experience are used to screen out the training program category with the largest Euclidean distance from multiple training program categories, and the target intensity data with the largest Euclidean distance from the flight trainee's target training index and training experience in this training program category is determined as the optimal training improvement program.

8. A civil aviation flight trainee training system based on health training index assessment, applied to a civil aviation flight trainee training method based on health training index assessment according to any one of claims 1 to 7, characterized in that: include: The first module is used to obtain historical training indicator data of each flight student during their historical training process and generate an initial training plan based on the historical training data. The historical training indicator data includes physical function data and psychological state data. A second module is configured to calculate a health training index based on the initial training plan and a preset training index evaluation model, and use the health training index to determine a first rotational speed and a second rotational speed of a first training type in the variable speed training of the training process, as well as a third rotational speed and a fourth rotational speed of a second training type, and to determine a first training duration and a second training duration of the first training type, as well as a third training duration and a fourth training duration of the second training type in the uniform speed training of the training process; The third module is used to generate an optimal training improvement plan for the corresponding flight student based on the first rotation speed, the second rotation speed, the third rotation speed, the fourth rotation speed, the first training duration, the second training duration, the third training duration, the fourth training duration, and the determined target training index, and use the optimal training improvement plan to train the corresponding pilot.

9. An electronic device, characterized in that: The method comprises a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein the method according to any one of claims 1 to 7 is implemented when the processor executes the computer program.

10. A non-transitory computer-readable storage medium, characterized in that The non-transitory computer-readable storage medium stores computer instructions, which enable a computer to execute the method of any one of claims 1 to 7.

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