A Pilot Flight Performance Evaluation Method and System Based on Flight Parameter Data

The method and system for evaluating flight performance using flight parameter analysis and automated criteria address the lack of objective evaluation in existing systems, enhancing the assessment of flight crew performance and safety.

CN114897284BActive Publication Date: 2025-07-15DALIAN BRINFO CO LTD
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Patent Information

Application Number
CN202210212201.2
Authority / Receiving Office
CN · China
Patent Type
Patents(China)
Current Assignee / Owner
Filing Date
2022-03-04
Publication Date
2025-07-15
Estimated Expiration
2042-03-04

AI Technical Summary

Technical Problem

The existing technology lacks a unified and objective pilot comprehensive ability evaluation model, which leads to strong subjectivity, insufficient scientific and quantitative evaluation of pilot evaluation, and lack of incentive and competition mechanisms, which affects the rapid growth of the pilot team.

Method used

By obtaining the pilot's flight parameters, analyzing them into flight data, establishing a standard matrix, performing data boundary analysis, and quantitative and qualitative evaluation in combination with performance evaluation criteria, the pilot's flight level is intelligently evaluated using flight parameters data.

Benefits of technology

It has achieved scientific quantitative evaluation of pilot flight performance, improved the objectivity and accuracy of evaluation, stimulated the inner vitality of pilots, and promoted the healthy growth of the pilot team.

✦ Generated by Eureka AI based on patent content.

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Patent Text Reader

Abstract

The present invention provides a method and system for evaluating a pilot's flight performance based on flight parameter data. The present invention includes: obtaining the flight parameters of a pilot and parsing the flight parameters into flight data; analyzing according to the flight performance envelope data of the aircraft driven by the pilot and the specified manipulation data characteristic rules to determine that the flight data is within the flight envelope data; establishing a standard matrix according to the flight performance envelope data; performing interval interpolation on the flight data and curve-fitting the standard matrix for data boundary analysis; evaluating the pilot's flight level according to the results of the data boundary analysis and the flight data based on the performance evaluation criteria. The present invention solves the technical problem in the prior art that it is impossible to comprehensively evaluate, by means of informatization means, the passing criteria such as the training subjects, flight sorties, comprehensive technical level and mission execution ability of a pilot.
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Description

Technical Field

[0001] The present invention relates to the technology for evaluating the capabilities of flight personnel, and particularly to a method and system for evaluating the flight performance of pilots based on flight parameter data, belonging to the technical field of electronic data management applications. Background Art

[0002] With the continuous increase in the requirements for complex national aviation emergency rescue tasks, it is required to strengthen cooperation with other rescue teams to form an integrated joint rescue of air rescue tasks and ground rescue operations, and to achieve "visible, callable, and controllable" for the aviation forces participating in emergency rescue operations. As an important factor in performing tasks, the pilot talent evaluation mechanism is indispensable. The fundamental goal of the construction of the talent evaluation mechanism is to highlight the characteristics of various talents in the evaluation process, stimulate their internal vitality, and enable them to be better developed and evolved. For many years, the country has lacked a unified and objective evaluation model for comprehensively evaluating the comprehensive capabilities of flight personnel in aspects such as the training and education of pilots, skill assessment, transfer and promotion, etc. There are problems such as more subjective evaluations and less scientific quantification, and "the same whether flying well or badly", lacking an incentive and competition mechanism, which has restricted the rapid growth of the pilot team to a certain extent. To scientifically and quantitatively evaluate the comprehensive qualities of pilots such as political ideology, flight skills, physical fitness, and work style discipline, and to promote the leapfrog improvement of the overall strength of the pilot team and the healthy growth of the echelon, it is urgent to solve problems such as the lack of an objective judgment standard for flight technical level evaluation, the lack of scientific quantification methods for flight evaluation, and the lack of intelligent and efficient means for flight safety risk assessment in flight performance evaluation as soon as possible. Summary of the Invention

[0003] The purpose of the present invention is to solve the problem that it is impossible to comprehensively evaluate the qualified criteria such as the training subjects, flight sorties, comprehensive technical level, and task execution capabilities of pilots through information technology means, and to achieve the effect of comprehensively evaluating the flight situation of pilots based on flight parameter data through the present invention.

[0004] To achieve the above purpose, the technical solution adopted by the present invention is:

[0005] A method for evaluating the flight performance of pilots based on flight parameter data, comprising:

[0006] Obtaining the flight parameters of the pilot and parsing the flight parameters into flight data; the flight data includes: actual navigation data, actual operation data, and flight playback data;

[0007] Analyzing according to the flight performance envelope data of the aircraft driven by the pilot and the characteristic rules of the specified operation data to determine that the flight data is within the flight envelope data;

[0008] Establish a standard matrix based on the flight performance envelope data;

[0009] Perform interval interpolation based on the flight data, and curve the standard matrix for data boundary analysis;

[0010] Evaluate the flight level of the pilot according to the results of the data boundary analysis and the flight data based on the performance evaluation criteria.

[0011] Further, the actual navigation data includes: the altitude, speed, longitudinal overload, climb and descent section data of the aircraft flight; the actual control data includes: the lateral pitch change, longitudinal pitch change, total throttle pitch, tail rotor pitch, elevator deflection angle, rudder deflection angle, flap deflection angle, aileron deflection angle and throttle push / pull value of the aircraft when the pilot controls the aircraft flight; the flight playback data includes: two-dimensional / three-dimensional flight trajectories, cockpit instrument and main instrument display data.

[0012] Further, the standard matrix is in two-dimensional form, expressed as:

[0013]

[0014] In the formula, V is the flight speed, H is the flight altitude, and σ is the actual navigation data.

[0015] Further, the performing interval interpolation based on the flight data and curving the standard matrix for data boundary analysis includes: performing interval interpolation according to the actual flight data, analyzing the data boundary situation, if there is data out of bounds, performing an intuitive alarm to display the out-of-bounds threshold, and recording and storing the out-of-bounds data frame information based on Beijing time; the data boundary is divided into three regions including: normal region, slightly out-of-tolerance region and severe alarm region.

[0016] Further, based on the result of the data boundary analysis and its flight data, the flight level of the pilot is evaluated according to the performance evaluation criteria, including: quantitative evaluation and qualitative evaluation are carried out respectively; the quantitative evaluation includes: according to the quantitative evaluation criteria of the data boundary analysis, if there is no out-of-bounds data, the score is 100 points; for each out-of-bounds data, 2 points are deducted until the total score is reduced to 0 points; according to the actual operation data, it is judged whether it conforms to the operation sequence and timing specified in the flight manual. If there is no operation error, the score is 100 points; for each operation error, 5 points are deducted until the score is reduced to 0 points; the qualitative evaluation includes: according to the actual operation data and flight playback data, the proficiency of movements, the degree of concentration, the performance of task execution, the feedback ability to ground command, the tolerance of high-difficulty tasks, the operation ability of emergency rescue equipment, and the ability to handle in-flight emergencies during the flight are evaluated. System templatized automatic determination is adopted, and each item is judged in the order of "excellent, good, basically qualified, unqualified"; if there is a flight action that causes the flight to be interrupted during the flight, it is directly evaluated as "unqualified".

[0017] Further, the quantitative evaluation also includes: automatic interpretation of flight parameter warnings is carried out, and the evaluation criteria are determined according to the fault identification and warning of on-board sensors, the warning after flight data exceeds the boundary, the warning of incorrect flight operation actions, and the input of judgment data in the flight safety evaluation form. The risk levels are generally determined as 90 points, relatively serious as 70 points, serious as 40 points, and devastating as 0 points.

[0018] A pilot flight performance evaluation system based on flight parameter data, characterized by including: a data management module, a flight playback module and a flight evaluation module; the data management module is used to obtain the flight parameters of the pilot, parse the flight parameters into actual navigation data and actual operation data, and transmit them to the flight evaluation module; the flight playback module is used to replay the flight state of the pilot through two-dimensional and three-dimensional scenes, and transmit the flight playback data to the flight evaluation module; the flight evaluation module is used to analyze according to the flight performance envelope data of the aircraft driven by the pilot and the specified manipulation data characteristic rules, and judge whether the flight data is within the flight envelope data; establish a standard matrix according to the flight performance envelope data; perform interval interpolation according to the flight data, and curve the standard matrix for data boundary analysis; according to the result of the data boundary analysis, the actual operation data and the flight playback data, the flight level of the pilot is evaluated according to the performance evaluation criteria.

[0019] Further, it also includes: a safety risk assessment module; the safety risk assessment module is used to identify the safety risk situation of the input flight parameters, and give a hierarchical safety warning prompt for various potential risks affecting flight safety according to the constructed safety criterion model.

[0020] Further, the flight evaluation module is further configured to generate an evaluation report according to the result of evaluating the pilot's flight level.

[0021] Further, the data management module includes: data offloading, data preprocessing, data storage, data parsing, data output, data docking, and software configuration library sub-modules; the flight playback module includes: two-dimensional flight trajectory display and playback, three-dimensional flight trajectory display and playback, airport and environment three-dimensional modeling and simulation, aircraft three-dimensional model construction, cockpit instrument simulation environment, main instrument display, and simulation control sub-modules; the flight evaluation module includes: training subject management, scoring item management, weight management, criterion modeling and management, action recognition and evaluation, and evaluation report management sub-modules; the safety risk assessment module includes: safety risk assessment model management, safety risk assessment management, and safety risk assessment report management sub-modules.

[0022] The method and system for evaluating a pilot's flight performance based on flight parameter data according to the present invention have the following advantages compared with the prior art:

[0023] 1) The present invention can objectively evaluate a pilot's flight performance through a scientific and quantitative method.

[0024] 2) The present invention can efficiently evaluate a pilot's flight performance through intelligent means.

[0025] 3) The present invention processes flight parameter data through algorithms to improve the authenticity and accuracy of the evaluation. BRIEF DESCRIPTION OF THE DRAWINGS

[0026] Figure 1 is a flowchart of a method for evaluating a pilot's flight performance based on flight parameter data;

[0027] Figure 2 is an architecture diagram of a system for evaluating a pilot's flight performance based on flight parameter data;

[0028] Figure 3 is a flight envelope data diagram of a certain aircraft type in the embodiment;

[0029] Figure 4 is a data boundary diagram in the embodiment;

[0030] Figure 5 is a flowchart of the operation of a system for evaluating a pilot's flight performance based on flight parameter data;

[0031] Figure 6 is a functional schematic diagram of a system for evaluating a pilot's flight performance based on flight parameter data. DETAILED DESCRIPTION OF THE EMBODIMENTS

[0032] The present invention will be further described in conjunction with the following embodiments:

[0033] As Figure 1 shown, this embodiment discloses a method for evaluating a pilot's flight performance based on flight parameter data, including:

[0034] 101. Obtain the flight parameters of the pilot and parse the flight parameters into flight data; the flight data includes: actual navigation data, actual control data, and flight playback data;

[0035] Specifically, the actual navigation data includes: the altitude, speed, longitudinal overload, climb, and descent section data of the aircraft flight; the actual control data includes: the lateral pitch, longitudinal pitch, total throttle pitch, and tail rotor pitch when the pilot controls the aircraft flight, or the elevator deflection angle, rudder deflection angle, flap deflection angle, aileron deflection angle, throttle push / pull value, etc.; the flight playback data includes: two-dimensional / three-dimensional flight trajectory, cockpit instrument, and main instrument display data.

[0036] 102. Analyze according to the flight performance envelope data of the aircraft piloted by the pilot and the specified control data characteristic rules to determine that the flight data is within the flight envelope data;

[0037] Specifically, perform linear interpolation operation comparison analysis based on the flight envelope data of this type of aircraft, and perform comparison analysis based on the control data characteristic rules specified in the manual to determine whether the flight data is within the specified envelope. Obtain the flight envelope data of this type of aircraft. Since the flight envelopes of different types of aircraft are different, for example: as Figure 3 shown in the typical envelope diagram of a certain aircraft model.

[0038] 103. Establish a standard matrix according to the flight performance envelope data;

[0039] Specifically, the standard matrix is in two-dimensional form, expressed as:

[0040]

[0041] In the formula, V is the flight speed, H is the flight altitude, and σ is the actual navigation data.

[0042] 104. Perform interval interpolation according to the flight data and curve the standard matrix for data boundary analysis;

[0043] Specifically, perform interval interpolation according to the actual flight data, analyze the data boundary situation. If there is data out of bounds, visually alarm and display the out-of-bounds threshold value, and record and store the out-of-bounds data frame information based on Beijing time. As Figure 4As shown, data boundary analysis uses curves for intuitive display. The boundaries can be set in three categories: normal area, slightly out of tolerance, and serious warning. The above rules are used to make real-time judgments on various types of flight data.

[0044] 105. According to the results of data boundary analysis and its flight data, evaluate the flight level of the pilot based on the performance evaluation criteria.

[0045] Specifically, according to the results of data boundary analysis and its flight data, evaluate the flight level of the pilot based on the performance evaluation criteria, including: conducting quantitative evaluation and qualitative evaluation separately; quantitative evaluation includes: according to the quantitative evaluation criteria of data boundary analysis, if there is no out-of-bounds data, the score is 100 points; if there is out-of-bounds data once, 2 points will be deducted until the total score is reduced to 0 points; according to the actual operation data, judge whether it conforms to the operation sequence and timing specified in the flight manual. If there is no operation error, the score is 100 points; if there is 1 operation error, 5 points will be deducted until it is deducted to 0 points; qualitative evaluation includes: according to the actual operation data and flight playback data, evaluate the proficiency of movements, concentration of energy, performance of task execution, feedback ability to ground command, tolerance ability to high-difficulty tasks, operation ability of emergency rescue equipment, and ability to handle in-flight emergencies during the flight process. Use systematic templatized automated judgment, and each item is judged in the order of "excellent, good, basically qualified, unqualified". The excellent score is 90 points, the good score is 70 points, the basically qualified score is 60 points, and the unqualified score is 0 points.

[0046] Quantitative evaluation also includes automatic interpretation of flight parameter warnings. The evaluation criteria are based on the identification and warning of on-board sensor failures, warnings after flight data exceeds the boundary, warnings of incorrect flight operation actions, and input of judgment data in the flight safety assessment form. The risk levels are generally judged as 90 points for general, 70 points for relatively serious, 40 points for serious, and 0 points for catastrophic.

[0047] According to the above judgments, conduct an evaluation using the weighted distribution method under the framework of "data analysis + record statistics". The weighted value of quantitative evaluation is tentatively set at 0.7, and the weighted value of qualitative evaluation is tentatively set at 0.3. For flight actions that cause flight interruption, adopt a "circuit breaker" strategy, that is, handle them as unqualified.

[0048] Such as Figure 2As shown in the figure, this embodiment provides a pilot flight performance evaluation system based on flight parameter data, including: a data management module, a flight playback module, and a flight evaluation module; the data management module is used to obtain the flight parameters of the pilot, parse the flight parameters into actual navigation data and actual control data, and transmit them to the flight evaluation module; the flight playback module is used to playback the flight state of the pilot through two-dimensional and three-dimensional scenes, and transmit the flight playback data to the flight evaluation module; the flight evaluation module is used to analyze according to the flight envelope data of the aircraft piloted by the pilot and the specified manipulation data characteristic rules, determine whether the actual navigation data is within the flight envelope data, and if it is within the flight envelope data, establish a standard matrix according to the flight envelope data and the actual navigation data; perform interval interpolation according to the actual navigation data, and curve the standard matrix for data boundary analysis; evaluate the flight level of the pilot according to the results of the data boundary analysis, the actual control data, and the flight playback data based on the performance evaluation criteria.

[0049] Specifically, as Figure 6 shown, the system includes 4 modules: data management, flight playback, flight evaluation, and safety risk assessment. Among them, the data management module mainly includes 7 functions: data unloading, data preprocessing, data storage, data parsing, data output, software configuration library, and data docking. Flight playback mainly includes 6 functions: two-dimensional flight trajectory display and playback, three-dimensional flight trajectory display and playback, three-dimensional modeling and simulation of the airport and environment, three-dimensional model construction of the aircraft, simulation environment and main instrument display of the cockpit instrument, and simulation control. Flight evaluation mainly includes 6 functions: training course management, scoring item management, weight management, criterion modeling and management, action recognition and evaluation, and evaluation report management. Safety risk assessment mainly includes 3 functions: safety risk assessment model management, safety risk assessment management, and safety risk assessment report management.

[0050] The specific functions of each module are as follows:

[0051] (1) Data management module

[0052] 1. Data unloading: Perform flight parameter data unloading, including functions such as reading, unloading, and erasing of flight parameter original data.

[0053] 2. Data preprocessing: Perform flight parameter data preprocessing functions, including flight parameter original data sorting function, flight parameter original data detection function, and filtering and noise reduction function of the data after flight parameter restoration.

[0054] 3. Data storage: Perform flight parameter data storage functions, including flight parameter file storage function, associated storage function of parsed data, and fast retrieval and query function of stored data.

[0055] 4. Data parsing: Perform the function of parsing flight parameter data, including the function of parsing the original phy - format data of a certain aircraft type.

[0056] 5. Data output: Perform the customizable data output function, including: outputting flight parameter data in the forms of tables, graphs, etc.; supporting the free selection of flight parameter fields for data output.

[0057] 6. Software configuration library: Manage the software configuration library, including the management function of the configuration library in the form of a database; the management function of the data configuration library in the form of files.

[0058] 7. Data docking: Perform the data docking function, including the function of introducing flight crew information; information introduction function; environmental information data introduction function; function of introducing flight training implementation records; function of providing flight parameter file data services. Provide the function of providing flight parameter data services to other systems of the detachment.

[0059] (2) Flight playback module

[0060] 1. Two - dimensional flight trajectory display and playback: Perform the function of two - dimensional flight trajectory display and playback.

[0061] 2. Three - dimensional flight trajectory display and playback: Perform the function of three - dimensional flight trajectory display and playback.

[0062] 3. Three - dimensional modeling and simulation of the airport and its environment: Build the three - dimensional modeling and simulation function of the airport and the viewing area, including building the three - dimensional model of the aircraft and presenting it in combination with the flight trajectory in the three - dimensional engine; building the three - dimensional geographical information model of the surrounding area of the airport and presenting it in combination during flight playback.

[0063] 4. Construction of the aircraft three - dimensional model: Build the aircraft three - dimensional model and display it in combination during flight playback. The specific requirements include building the three - dimensional model of a certain aircraft type and building the special texture map of a certain aircraft type, etc.

[0064] 5. Cockpit instrument simulation environment and main instrument display: Build the aircraft cockpit instrument simulation environment. During playback, display the main instrument data according to the flight parameter data playback.

[0065] 6. Simulation control: Perform the flight playback simulation control function. The specific requirements include controlling the rate of simulation playback; supporting timeline dragging; supporting multi - perspective viewing.

[0066] (3) Flight evaluation module

[0067] 1. Training Subject Management: Based on the 8 subjects in the training syllabus, namely hovering takeoff and landing flight, instrument approach and landing in the dark cabin, simulated special situations, field landing, bucket flight, water tank flight, maximum takeoff weight, and external load flight, manage the name, code, description information, etc. of the training subjects, including the scoring item management function for each subject.

[0068] 2. Scoring Item Management: Based on the scoring standards in the training syllabus, manage the name, category, 5-point standard, 4-point standard, 3-point standard, etc. of the scoring items, including the associated criterion management function for each item.

[0069] 3. Weight Management: On the basis of scoring item management, set the weight ratio of each scoring item based on flight subjects or flight evaluation models.

[0070] 4. Criterion Modeling and Management: Perform criterion modeling and management functions, including basic criterion management functions. It includes the management functions of basic criteria, mainly including items such as aircraft type, subject, criterion name, type, criterion model, etc.; evaluation criterion setting function. Set associated parameters for evaluation scoring, and the main contents include items such as interpretation stage, index items, criterion model, etc.

[0071] 5. Action Recognition and Evaluation: According to flight parameters, combined with evaluation criteria, complete flight action recognition and evaluation; flight parameter data matching function. Mainly manage the interpretation status of flight parameter files corresponding to flight implementation records, and information viewing, flight parameter file downloading, starting re-interpretation, viewing original data, etc. can be carried out according to needs; flight action recognition function. Based on action recognition criteria, complete flight action recognition and record the start and end times of flight actions; flight action evaluation function. Based on evaluation criteria, establish a scientific and configurable evaluation model and complete the quantitative evaluation of the completion quality of flight actions.

[0072] 6. Evaluation Report Management: Perform evaluation report management functions, including evaluation report generation functions, mainly providing the creation, management, and maintenance functions of evaluation reports. Evaluation reports can be generated based on information such as personnel, sorties, subjects, etc., based on intelligent interpretation and evaluation results, and manual scoring functions are provided to correctly evaluate training effects in special situations; evaluation report viewing function. It includes the viewing functions of evaluation reports, historical trend changes, associated parameter curves, and key indicator extreme value information; single-session training information function, mainly showing basic information of a single session to users based on flight parameter interpretation and evaluation; personal training information function, mainly showing the ability evaluation information of each subject and each sortie of the user in this session to users based on flight parameter interpretation and evaluation; flight evaluation report form function. Provide the viewing function of flight evaluation results.

[0073] (4) Safety Risk Assessment Module

[0074] 1. Safety Risk Assessment Model Management: Continuously construct and improve the safety criterion model based on information about people, machines, environment, and management.

[0075] 2. Safety Risk Assessment Management: Identify the safety risk situation of the input flight parameters, and according to the constructed safety criterion model, give hierarchical safety warning prompts for various potential risks affecting flight safety.

[0076] 3. Safety Risk Assessment Report Management: Support generating formatted flight safety assessment reports and printing them out.

[0077] The system operates according to the processes shown successively according to their respective functions. Figure 5 as shown.

[0078] As Figure 2 shown, the technologies adopted in the design of this system are forward-looking, fully considering the development needs in the next few years, closely grasping the pulse and development trend of the current world computer and IT technologies. This system adopts advanced technologies such as VUE, Spring Boot, and Unity3D, which can ensure that it will not lag behind within 5 years. At the same time, the functional design of this system closely revolves around the industry characteristics of provincial-level pilots. The functions within the system can meet the requirements of accuracy, speed, and practicality, making the whole system have a high performance-price ratio. In addition, according to the architecture requirements, the system adopts a software architecture based on B / S and C / S to meet requirements such as compatibility and scalability. And the system adopts an object-oriented design method, which can meet the cross-platform application requirements. Among them, the multi-channel two-dimensional and three-dimensional scene fusion technology is adopted to improve the pertinence of user use under different business backgrounds. Among them, the two-dimensional uses GIS maps to display and playback flight data well on a plane. The three-dimensional scene uses Unity3D technology to efficiently render and load the models built by 3DMax, and uses the Qt embedded call technology to call the two-dimensional and three-dimensional functions with each other, so that the operation of the system can be integrated and meet the user use requirements under different business backgrounds.

[0079] Finally, it should be noted that the above embodiments are only used to illustrate the technical solutions of the present invention, not to limit it; although the present invention has been described in detail with reference to the foregoing embodiments, those of ordinary skill in the art should understand that they can still modify the technical solutions described in the foregoing embodiments, or perform equivalent replacements on some or all of the technical features; and these modifications or replacements do not make the essence of the corresponding technical solutions deviate from the scope of the technical solutions of the embodiments of the present invention.

Claims

1. A method for evaluating a pilot's flight performance based on flight parameter data, characterized in that Including: Obtain the flight parameters of the pilot and parse the flight parameters into flight data; The flight data includes: actual navigation data, actual operation data, and flight playback data; the actual navigation data includes: the altitude, speed, longitudinal overload, climb, and descent section data of the aircraft flight; the actual operation data includes: the lateral pitch, longitudinal pitch, total throttle pitch, tail rotor pitch, elevator deflection angle, rudder deflection angle, flap deflection angle, aileron deflection angle, and throttle push / pull value of the aircraft when the pilot operates the aircraft to fly; the flight playback data includes: two-dimensional / three-dimensional flight trajectory, cockpit instrument, and main instrument display data; Analyze according to the flight performance envelope data of the aircraft piloted by the pilot and the specified operation data characteristic rules to determine that the flight data is within the flight envelope data; Establish a standard matrix according to the flight performance envelope data; the standard matrix is in two-dimensional form and is expressed as: In the formula, V is the flight speed, H is the flight altitude, and σ is the actual navigation data; Perform interval interpolation according to the flight data, and curve the standard matrix for data boundary analysis, including: perform interval interpolation according to the actual flight data, analyze the data boundary situation, if there is data out of bounds, give an intuitive warning to display the out-of-bounds threshold, and record and store the out-of-bounds data frame information based on Beijing time; the data boundary is divided into three regions including: normal region, slightly out-of-tolerance region, and serious warning region; Evaluate the flight level of the pilot according to the result of the data boundary analysis and its flight data, including: perform quantitative evaluation and qualitative evaluation respectively; The quantitative evaluation includes: according to the quantitative evaluation criterion of the data boundary analysis, if there is no out-of-bounds data, the score is 100 points; for each out-of-bounds data, 2 points are deducted until the total score is reduced to 0 points; judge whether it conforms to the operation sequence and timing specified in the flight manual according to the actual operation data, if there is no operation error, the score is 100 points; for 1 operation error, 5 points are deducted until the score is reduced to 0 points; The quantitative evaluation also includes: perform automatic interpretation of flight parameter warnings, and the evaluation criteria are based on on-board sensor fault identification and warnings, warnings after flight data exceeds the bounds, warnings for incorrect flight operation actions, and input of judgment data in the flight safety assessment form. The risk levels are generally determined as 90 points for general, 70 points for more serious, 40 points for serious, and 0 points for devastating; The qualitative evaluation includes: evaluate the proficiency of actions, concentration of energy, task execution performance, feedback ability to ground command, tolerance ability for high-difficulty tasks, operation ability for emergency rescue equipment, and ability to handle in-flight emergencies during the flight according to the actual operation data and flight playback data, and use systematic templatized automation to judge. Each item is judged in the order of "excellent, good, basically qualified, unqualified"; if there is a flight action that causes flight interruption during the flight, it is directly evaluated as "unqualified".

2. A pilot flight performance evaluation system based on flight parameter data, characterized in that, Including: Data management module, flight playback module, flight evaluation module, and safety risk assessment module; The data management module is used to obtain the flight parameters of the pilot, parse the flight parameters into actual navigation data and actual operation data, and transmit them to the flight evaluation module; The data management module includes: data unloading, data preprocessing, data storage, data parsing, data output, data docking, and software configuration library sub-modules; The flight playback module includes: two-dimensional flight trajectory display and playback, three-dimensional flight trajectory display and playback, three-dimensional modeling and simulation of the airport and environment, three-dimensional model construction of the aircraft, cockpit instrument simulation environment, main instrument display, and simulation control sub-modules; The flight evaluation module includes: training course management, scoring item management, weight management, criterion modeling and management, action recognition and evaluation, and evaluation report management sub-modules; The safety risk assessment module includes: safety risk assessment model management, safety risk assessment management, and safety risk assessment report management sub-modules; The flight playback module is used to replay the flight status of the pilot through two-dimensional and three-dimensional scenarios, and transmit the flight playback data to the flight evaluation module; The flight evaluation module is used to analyze according to the flight performance envelope data of the aircraft driven by the pilot and the specified manipulation data characteristic rules, and determine whether the flight data is within the flight envelope data; establish a standard matrix according to the flight performance envelope data; perform interval interpolation according to the flight data, and curve the standard matrix for data boundary analysis; evaluate the flight level of the pilot according to the results of the data boundary analysis, the actual operation data, and the flight playback data based on the performance evaluation criteria; The flight evaluation module is also used to generate an evaluation report according to the results of evaluating the flight level of the pilot; The safety risk assessment module is used to identify the safety risk situation of the input flight parameters, and give hierarchical safety warning prompts for various potential risks affecting flight safety according to the constructed safety criterion model.