Primary pilot effective control analysis method and system based on QAR data
Through the joystick force analysis method based on QAR data, the problems of inaccurate assessment of pilots' control ability and difficulty in evaluating the effectiveness of instructors' flight training have been solved, thus achieving scientific management of flight training and improving safety.
Patent Information
- Application Number
- CN202510668014.9
- Authority / Receiving Office
- CN · China
- Patent Type
- Patents(China)
- Current Assignee / Owner
- Filing Date
- 2025-05-23
- Publication Date
- 2025-10-14
- Estimated Expiration
- 2045-05-23
AI Technical Summary
In the current flight training management, the assessment of pilots' operating ability is inaccurate, the effectiveness of instructors' flight training is difficult to evaluate, and training management lacks data support, resulting in difficulty in meeting promotion rates and ensuring teaching quality.
The control stick force analysis method based on QAR data constructs the control stick data analysis logic through initialization correction and limiting the data range, and matches it with the mission book information to objectively evaluate the pilot's control performance and the instructor's flight guidance.
It has achieved accurate quantification of pilots' operating capabilities, improved the scientific nature of promotion evaluation and training quality, ensured the effectiveness of instructors' teaching, and reduced safety hazards.
Smart Images
Figure CN120196963B_ABST
Abstract
Description
TECHNICAL FIELD
[0001] The present application belongs to the technical field of flight training, and particularly relates to a main pilot effective manipulation analysis method and system based on QAR data. BACKGROUND
[0002] The statements in this section merely provide background information related to the present application and do not necessarily constitute the prior art.
[0003] In the current flight training management, the pilot promotion examination mainly relies on paper data such as seat time, flight time, and manipulation times recorded in the task book.
[0004] However, this method of evaluating the driving level of pilots completely relying on paper data generally has the following technical problems, for example:
[0005] (1) Inaccurate determination of pilot effective manipulation: the traditional method cannot distinguish between real effective manipulation and passive following operation, resulting in distorted examination data; therefore, these data cannot truly reflect the actual manipulation level of the pilot, resulting in that part of the co-pilot meets the promotion standard, but the actual manipulation ability is insufficient, the inspection result is not ideal, and the promotion rate is difficult to meet the standard.
[0006] (2) It is difficult to evaluate the quality of flying teaching: the teaching effect of the instructor captain in the flying process lacks objective evaluation, and it is difficult for the person being taught to obtain effective manipulation experience.
[0007] (3) Training management relies on subjective experience: the existing evaluation system lacks data support, and it is difficult to scientifically optimize the training plan and promotion standard.
[0008] Therefore, the traditional method cannot accurately quantify the manipulation performance of the pilot and the flying effect, and cannot provide scientific and effective guidance for actual flight training. SUMMARY
[0009] In order to overcome the above-mentioned deficiencies of the prior art, the present application provides a main pilot effective manipulation analysis method and system based on QAR data, which can accurately quantify the manipulation performance of the pilot and the flying situation of the instructor captain, and provide scientific guidance for the evaluation of the driving level of the main pilot.
[0010] To achieve the above-mentioned purpose, one or more embodiments of the present application provide the following technical solutions:
[0011] The present application provides a main pilot effective manipulation analysis method based on QAR data.
[0012] The main pilot effective manipulation analysis method based on QAR data comprises:
[0013] Obtaining flight decoding data;
[0014] Initialize and correct the stick force in the decoded flight data and limit the data analysis range;
[0015] Constructing control stick data analysis logic, executing the control stick data analysis logic within a limited data analysis range to analyze the control stick force after initialization correction to determine whether the primary pilot is effectively controlling the control stick;
[0016] The flight decoding data is matched with the mission book information to determine whether the primary pilot's control rate meets the standard; and the actual effective control situation of the primary pilot is determined based on the effective control of the primary pilot and the control rate meeting the standard.
[0017] Furthermore, the flight decoding data includes: time, radio altitude, airspeed, LOCAL sidestick force, FOREIGN sidestick force, left master air-to-ground switch status, right master air-to-ground switch status and pitch angle.
[0018] Furthermore, the control stick force in the flight decoding data is initialized and corrected, including: for the landing segment, advancing from the stationary moment to a first preset time period and analyzing it second by second, sorting the data in the first preset time period and eliminating meaningless values, and using the remaining values as correction values for initialization correction.
[0019] Furthermore, limiting the data analysis scope includes: setting the altitude of the aircraft in the take-off and landing segments, and taking the QAR data within the range of the aircraft in the take-off and landing segments as the analysis object.
[0020] Furthermore, the control stick data analysis logic includes: setting a first directional force threshold, and when the control sticks on both sides have the same directional force and the difference between the control stick forces on both sides is greater than the set first directional force threshold, determining that the control stick on the side with the larger control stick force is dominant.
[0021] Furthermore, the control stick data analysis logic further includes: setting a second directional force threshold value, and when the control sticks on both sides have different directional forces and the difference in the control stick forces on both sides is less than the set second directional force threshold value, determining that the control stick on the side with the larger control stick force is dominant; when the control sticks on both sides have different directional forces and the difference in the control stick forces on both sides is greater than the set second directional force threshold value, directly determining that the FOREIGN side intervention manipulation is carried out.
[0022] Furthermore, the flight decoding data is matched with the mission book information, including: matching the seat occupant information in the mission book with the autopilot channel status, determining whether the current flight is a piloted flight and whether the main pilot's control rate meets the standard.
[0023] A second aspect of the present invention provides a primary pilot effective maneuvering analysis system based on QAR data.
[0024] The main pilot effective manipulation analysis system based on QAR data comprises:
[0025] A data acquisition module is configured to acquire flight decoding data.
[0026] A control column force correction module is configured to perform initialization correction on the control column force in the obtained flight decoding data and limit the data analysis range.
[0027] A data analysis module is configured to construct a control column data analysis logic, execute the control column data analysis logic within the limited data analysis range to analyze the initialized and corrected control column force, and determine whether the main pilot is effectively manipulated.
[0028] A data matching module is configured to match the flight decoding data with mission information to determine whether the main pilot manipulation rate meets the standard, and determine the actual effective manipulation of the main pilot according to the effective manipulation and manipulation rate meeting the standard of the main pilot.
[0029] The third aspect of the present application provides a computer readable storage medium having a program stored thereon, and the program is executed by a processor to implement the steps in the main pilot effective manipulation analysis method based on QAR data according to the first aspect of the present application.
[0030] The fourth aspect of the present application provides an electronic device comprising a memory, a processor, and a program stored in the memory and executable on the processor, and the processor executes the program to implement the steps in the main pilot effective manipulation analysis method based on QAR data according to the first aspect of the present application.
[0031] The above one or more technical solutions have the following beneficial effects:
[0032] (1) The control column data analysis logic is constructed, although the double-sided control columns are linked, but based on the constructed control column data analysis logic, the direction, size and difference of the force of the double-sided control columns can be used to objectively determine which side of the control column is the main operation. Therefore, the present application effectively avoids the misjudgment caused by the dependence of the traditional method on static data, and can reflect the actual manipulation ability of the pilot through the examination data.
[0033] (2) The present invention dynamically matches the mission information with the state of the autopilot channel (CMD A / B), combined with the effective control judgment results, to achieve an objective evaluation of the instructor's flight process. For example, when the operator is in the left seat and the CMD A channel is connected, the system attributes the LOCAL sidestick force to the effective PF control and counts the actual control time of the trainee during the flight. By quantifying the "effective flight ratio" and "student control compliance rate", the present invention can reflect the implementation of the instructor's teaching responsibilities, enable students to obtain sufficient practice opportunities during the flight, and ensure the quality of training from a data level.
[0034] (3) This invention constructs a multi-dimensional evaluation system for pilot control performance based on dynamic stick force data recorded by QAR and decoded parameters (such as radio altitude and airspeed). For example, by calculating the effective control rate during takeoff and landing (PF effective control time / total stage time × 100%), and combining historical data to establish a promotion standard model, it provides data support for training program optimization and pilot promotion. This method abandons the traditional reliance on subjective experience and realizes the transition from "experience-based decision-making" to "data-based decision-making."
[0035] Advantages of additional aspects of the present invention will be given in part in the following description and in part will be obvious from the following description, or will be learned through practice of the present invention. BRIEF DESCRIPTION OF THE DRAWINGS
[0036] The accompanying drawings, which constitute a part of the present invention, are used to provide a further understanding of the present invention. The exemplary embodiments of the present invention and their descriptions are used to explain the present invention and do not constitute improper limitations on the present invention.
[0037] Figure 1 Flowchart of the primary pilot's effective maneuver analysis method based on QAR data in Embodiment 1 of the present invention. DETAILED DESCRIPTION
[0038] It should be noted that the following detailed descriptions are exemplary and intended to provide further explanation of the present invention. Unless otherwise specified, all technical and scientific terms used herein have the same meaning as commonly understood by those skilled in the art to which the present invention belongs.
[0039] It should be noted that the terms used herein are for describing particular embodiments only and are not intended to limit the exemplary embodiments according to the present invention.
[0040] In the absence of conflict, the embodiments of the present invention and the features thereof may be combined with each other.
[0041] The overall idea of the present application is: QAR records thousands of aircraft operation parameters, which is an important data source for flight quality analysis. In the traditional flight training management, the technical evaluation of pilots mainly depends on the flight time, the number of manipulations recorded in the mission sheet and other static data, which cannot truly reflect the actual pilot manipulation ability. The massive data recorded by QAR provides a train of thought for scientifically quantifying the pilot's manipulation performance and the effect of taking off. The present application mainly analyzes the aircraft joystick manipulation force recorded by QAR, analyzes whether the current is the copilot manipulating the aircraft or the instructor taking off through the change of the lever force data, and judges whether the copilot manipulation meets the standard and whether the instructor taking off is qualified on the basis.
[0042] In order to facilitate the understanding of the technical solutions of the present application, the following explains the abbreviations or key terms appearing in the embodiments of the present application:
[0043] QAR (Quick Access Recorder): quick access recorder;
[0044] PF: pilot manipulating the aircraft, referred to as main pilot;
[0045] PM: pilot monitoring the aircraft; the seat of the Boeing 737 aircraft cockpit is divided into left and right two seats, and the pilot operating the aircraft is PF on the two positions, and the other position is PM, which is mainly responsible for monitoring the aircraft state and communication, etc.
[0046] Joystick: one of the key components of the aircraft control system, also called steering column, which realizes the pitching action of the aircraft through the forward push or rear pull of the steering column. The steering column is installed on both sides of the cockpit, and the two sides are linked.
[0047] LOCAL side lever force: the PF side steering column force recorded by QAR is called LOCAL side lever force, which is recorded 8 times per second.
[0048] FOREIGN side lever force: the PM side steering column force is FOREIGN side lever force, which is recorded 8 times per second.
[0049] CMD A / B: automatic pilot channel, divided into A and B channels, A represents the left side of the steering position, and B represents the right side of the steering position.
[0050] Embodiment one
[0051] The present embodiment discloses a main pilot effective manipulation analysis method based on QAR data.
[0052] As shown in Figure 1 , the main pilot effective manipulation analysis method based on QAR data comprises:
[0053] Step S1, obtaining flight decoding data;
[0054] Step S2: Initialize and correct the stick force in the obtained flight decoded data, and limit the data analysis range;
[0055] Step S3: constructing a control stick data analysis logic, executing the control stick data analysis logic within a limited data analysis range to analyze the control stick force after initialization and correction to determine whether the control stick force is effectively controlled by the primary pilot;
[0056] Step S4: Match the flight decoding data with the mission book information to determine whether the primary pilot's control rate meets the standard; and determine the primary pilot's actual effective control situation based on the primary pilot's effective control and the control rate meeting the standard.
[0057] Based on the above process, the pilot's control performance and the instructor captain's flight performance can be accurately quantified, providing scientific guidance for the assessment of the lead pilot's flight level. To facilitate understanding of the technical solution of the present invention, the specific implementation steps of the technical solution of the present invention are further explained and illustrated below.
[0058] Step S1: Obtain on-the-fly decoding data.
[0059] This embodiment obtains flight decoding data through a big data decoding and analysis platform independently developed by an airline. The flight decoding data includes: time, radio altitude, airspeed, LOCAL sidestick force, FOREIGN sidestick force, left master air-to-ground switch status, right master air-to-ground switch status, and pitch angle.
[0060] Step S2: Initialize and correct the stick force in the flight decoding data, and limit the data analysis range.
[0061] Step S2-1: Initialize and calibrate the joystick force.
[0062] Due to mechanical structural reasons, when the control stick is not being operated, the LOCAL sidestick force and FOREIGN sidestick force have certain initial force values, and each aircraft has different values. Therefore, it is necessary to find the corresponding typical value of the initial force for each aircraft and return the control stick forces on both sides to zero through calculation to achieve correction of the side stick forces.
[0063] Table 1 shows the initial values of the control stick forces. Specifically, the leftmost column in Table 1 represents the air-to-ground switch status; the middle column shows the indexed sidestick forces, with positive values indicating forward push and negative values indicating backward pull; and the rightmost column shows the non-indexed sidestick forces. As can be seen from the data in Table 1, even when the aircraft is on the ground and the pilot is not operating the control stick, there are still deviations in the stick forces due to mechanical design. Therefore, these deviations must be corrected before use in subsequent calculations.
[0064] Table 1 Initial values of control stick forces
[0065]
[0066] The stick force in the flight decoding data is initialized and corrected. Specifically, for the landing segment, the data in a first preset time period is sorted and meaningless values are removed, and the remaining values are used as correction values for initialization and correction. After the aircraft lands, the stick is basically not operated, and as an optional embodiment, for the landing segment, the data can be analyzed second by second from 120 seconds before the static moment, and the maximum values of the LOCAL side stick force and the FOREIGN side stick force are obtained, and the 120 seconds of data are sorted. To shield data jump anomalies, the maximum and minimum 20 values are removed, and the mean value of the remaining values is used as the correction value.
[0067] For the landing phase, the data can be arranged in reverse order of time, and the data is obtained from the landing point in reverse circulation until the height of 200 feet of radio is obtained. After the data is obtained, the stick force data is corrected according to the correction value obtained in the previous step.
[0068] As shown in Table 2, the stick force data in the flight decoding data is shown, which shows the QAR decoding data obtained second by second. The stick force parameter is recorded 8 times per second, so there will be multiple values. For ease of analysis, the embodiment is aggregated and the maximum value (i.e., the bold value in Table 2) in the 8 values is directly found to represent the stick force value of this second.
[0069] Table 2 Stick force data in flight decoding data
[0070]
[0071] Step S2-2, limiting the data analysis range.
[0072] Most of the pilot's operation is concentrated in the take-off segment and the landing segment, so when limiting the data analysis range: the height of the aircraft in the take-off segment and the landing segment is set, and the QAR data of the aircraft in the take-off segment and the landing segment is used as the analysis object. As an optional embodiment, the take-off segment can be set to the moment when the aircraft takes off to the height of 200 feet of radio, and the landing segment is from the height of 200 feet of radio to the ground.
[0073] Step S3, constructing a stick data analysis logic, executing the stick data analysis logic in the limited data analysis range to analyze the initialized and corrected stick force, and obtaining whether the current is PF effective operation or PM intervention operation through the data analysis of the stick force in the same direction or in the opposite direction.
[0074] According to the actual steering situation, the two sides of the steering column have the following two states: the two sides of the steering column are in the same direction force (pulling the column at the same time or pushing the column at the same time), and the two sides of the steering column are in the opposite direction force (one side pulling the column and the other side pushing the column or vice versa). For the two states, through data analysis, when the difference between the two sides is greater than the threshold value, it can be distinguished as LOCAL side dominant operation or FOREIGN side intervention operation, and the specific logic is as follows:
[0075] a) The two sides of the steering column are in the same direction force (pulling the column at the same time or pushing the column at the same time): set a first direction force threshold value, when the two sides of the steering column are in the same direction force and the difference between the two sides of the steering column is greater than the set first direction force threshold value, it is determined that the side with greater steering column force in the two sides of the steering column force is dominant. As an optional embodiment, the first direction force threshold value can be set to 4 pounds, that is:
[0076] ① If the LOCAL side steering column force is greater than the FOREIGN side steering column force, and the difference between the two sides of the steering column is ≥ 4 pounds, it is determined that the current second steering is LOCAL dominant, and it is determined as LOCAL effective steering.
[0077] ② If the LOCAL side steering column force is less than the FOREIGN side steering column force, and the difference between the two sides of the steering column is ≥ 4 pounds, it is determined that the current second steering is FOREIGN dominant, and it is determined as FOREIGN intervention steering.
[0078] b) The two sides of the steering column are in the opposite direction force (one side pulling the column and the other side pushing the column): set a second direction force threshold value, when the two sides of the steering column are in the opposite direction force and the difference between the two sides of the steering column is less than the set second direction force threshold value, it is determined that the side with greater steering column force in the two sides of the steering column force is dominant; when the two sides of the steering column are in the opposite direction force and the difference between the two sides of the steering column is greater than the set second direction force threshold value, it is directly determined as FOREIGN side intervention steering. As an optional embodiment, the second direction force threshold value can be set to 1.4 pounds, that is:
[0079] ① If the difference between the two sides of the steering column is < 1.4 pounds, and the LOCAL side steering column force is greater than the FOREIGN side steering column force, it is determined that the current second steering is LOCAL dominant, and it is determined as LOCAL effective steering.
[0080] ② If the difference between the two sides of the steering column is < 1.4 pounds, and the FOREIGN side steering column force is greater than the LOCAL side steering column force, it is determined that the current second FOREIGN intervention steering is judged;
[0081] ③ If the difference between the two sides of the steering column is ≥ 1.4 pounds, it is determined that the current second FOREIGN intervention steering is judged.
[0082] It should be noted that the above built driving rod data analysis logic needs to calculate the absolute value of the difference of the force of the driving rod on both sides (and the rod force needs to be calculated with positive and negative signs), and then compared with the set value.
[0083] c) Others: when the above logic is not applicable, that is, the driving rod forces on both sides are almost the same within the error range, and both sides jointly dominate the manipulation, the current second does not participate in statistical calculation.
[0084] As shown in Table 3, the driving side effective manipulation analysis result is shown, which shows that during the approach landing stage, from the radio 200 feet height to the ground, according to the above determination logic, the manipulation situation of each second is obtained. Among them, in Table 3, according to the order from left to right, the time in the first column represents the time of QAR record data, the radio height is the height distance from the ground when the aircraft lands, the third column and the fourth column are the numerical value of the LOCAL side rod force and the FOREIGN side rod force respectively, and the last column is the determination result according to the above determination logic.
[0085] Table 3 Driving side effective manipulation analysis result
[0086]
[0087] The present application automatically distinguishes the manipulation contribution of PF (main pilot) and PM (monitoring pilot) by dynamic analysis of driving rod force (such as force in the same direction, force in the opposite direction determination logic), combined with preset first direction force threshold and second direction force threshold, so that the examination data is true and reliable, and then the accurate identification of effective manipulation is realized.
[0088] Step S4, match the flight decoding data with the task book information, according to the left and right seat situation of the task book manipulator and the connection situation of CMD A / B channel, analyze whether the flight is taught by the teacher, whether the PF manipulation rate meets the standard, and then determine the actual effective manipulation situation of the main pilot.
[0089] Matching the flight decoding data with the task book information includes: matching the seat information of the task book and the automatic driving channel state to determine whether the current flight is a flying flight and whether the manipulation rate of the main pilot meets the standard. Specifically, according to the left and right seat situation of the task book manipulator and the connection situation of the automatic driving CMD A / B channel, the LOCAL side rod force / FOREIGN side rod force can be matched in four cases, that is:
[0090] a) The manipulator is in the left seat, and CMD A is connected: PF effective manipulation, LOCAL side rod force;
[0091] b) The manipulator is in the right seat, and CMD A is connected: PM intervenes in manipulation, FOREIGN side rod force;
[0092] c) The operator is in the left seat, CMD B is engaged: PM intervenes in the control, FOREIGN sidestick force;
[0093] d) The operator is in the right seat, CMD B is engaged: PF control is valid, LOCAL sidestick force.
[0094] Therefore, based on whether the operator is the captain, it can be determined whether the current flight is a pilot-led flight. Based on the effective operation of the PF and the intervention of the PM, it can be analyzed whether the co-pilot's operation meets the standards.
[0095] Table 4 shows the captain-led flight and effective control compliance rates. This table summarizes the captain's flight and pilot-side control over a period of time. In Table 4, from left to right, the first column, "Autopilot channels A" and "B," represent left- and right-seat control, respectively. The second and third columns represent the proportion of first-officer control and captain intervention during the landing phase, respectively. The fourth column, "Captain-led flight," indicates whether the captain or first-officer controlled the landing. The last column, "PF Control Rate Compliance," indicates whether the pilot primarily controlled the landing during the flight.
[0096] Table 4 Captain flight and effective control achievement rate
[0097]
[0098] The actual effective control situation of the lead pilot is judged. Specifically, different control ratio limits are set for different pilot levels. For example, for a junior co-pilot, a control ratio of more than 50% is considered to have performed effective flight on the flight, and his supervising captain has performed the teaching task. Senior co-pilots are required to have a control ratio of more than 80%. By summarizing the effective control time of flight personnel, the amount of hands-off training by the instructor captain and the degree of control participation of the pilots can be objectively quantified. In addition, based on this result, co-pilots with low flight control participation rates can be prevented from entering the promotion process, and qualified candidates can be screened to participate in promotion assessments, fundamentally solving the problem of substandard promotion rates.
[0099] By matching mission statements with flight data, this invention can better quantify instructors' flight performance (e.g., effective flight ratio and student control rate), improving training quality. By accurately reflecting pilot control conditions, it can mitigate safety hazards caused by insufficient control, while also enhancing instructors' teaching standards and ultimately improving flight safety.
[0100] Example 2
[0101] This embodiment discloses a primary pilot effective maneuvering analysis system based on QAR data.
[0102] The primary pilot effective control analysis system based on QAR data includes:
[0103] a data acquisition module configured to acquire flight decoding data;
[0104] a control column force correction module configured to perform initialization correction on the control column force in the acquired flight decoding data and limit the data analysis range;
[0105] a data analysis module configured to construct a control column data analysis logic and execute the control column data analysis logic within the limited data analysis range to analyze the initialized and corrected control column force to determine whether the main pilot is effectively operating;
[0106] a data matching module configured to match the flight decoding data with mission information to determine whether the main pilot's operating rate meets the standard, and determine the actual effective operation of the main pilot according to the effective operation of the main pilot and the operating rate meeting the standard.
[0107] Embodiment three
[0108] The purpose of this embodiment is to provide a computer-readable storage medium.
[0109] A computer-readable storage medium having a computer program stored thereon, the program being executed by a processor to implement the steps in the main pilot effective operation analysis method based on QAR data according to Embodiment One of the present disclosure.
[0110] Embodiment four
[0111] The purpose of this embodiment is to provide an electronic device.
[0112] An electronic device comprising a memory, a processor, and a program stored on the memory and executable on the processor, wherein the processor executes the program to implement the steps in the main pilot effective operation analysis method based on QAR data according to Embodiment One of the present disclosure.
[0113] The steps and methods involved in the above embodiments two, three and four correspond to Embodiment One, and the specific embodiments can be referred to the relevant description part of Embodiment One. The term "computer-readable storage medium" should be understood to include a single medium or multiple media of one or more instruction sets; it should also be understood to include any medium that can store, encode or carry instruction sets for execution by a processor and cause the processor to perform any of the methods in the present disclosure.
[0114] Those skilled in the art will appreciate that the modules or steps of the present invention described above can be implemented using a general-purpose computer device. Alternatively, they can be implemented using program code executable by a computing device, which can then be stored in a storage device and executed by the computing device. Alternatively, they can be fabricated into separate integrated circuit modules, or multiple modules or steps can be fabricated into a single integrated circuit module for implementation. The present invention is not limited to any specific combination of hardware and software.
[0115] Although the above describes the specific embodiments of the present invention in conjunction with the accompanying drawings, it is not intended to limit the scope of protection of the present invention. Those skilled in the art should understand that various modifications or variations that can be made by those skilled in the art on the basis of the technical solution of the present invention without any creative work are still within the scope of protection of the present invention.
Claims
1. A method for analyzing effective control by a lead pilot based on QAR data, characterized by: include: Obtain flight decoding data; Initialize and correct the stick force in the decoded flight data and limit the data analysis range; Constructing a control stick data analysis logic, executing the control stick data analysis logic within a limited data analysis range to analyze the control stick force after initialization and correction to determine whether the primary pilot is effectively controlling the aircraft. The control stick data analysis logic includes: setting a first directional force threshold value, and when the control sticks on both sides have the same directional force and the difference between the control stick forces on both sides is greater than the set first directional force threshold value, determining that the control stick with the larger control stick force is dominant. The flight decoding data is matched with the mission book information to determine whether the primary pilot's control rate meets the standard; based on the primary pilot's effective control and the control rate meeting the standard, the primary pilot's actual effective control is determined; wherein, matching the flight decoding data with the mission book information includes: matching the seat occupant information in the mission book with the autopilot channel status, determining whether the current flight is a flight with a command and whether the primary pilot's control rate meets the standard.
2. The method for analyzing effective control of a primary pilot based on QAR data according to claim 1, characterized in that: The flight decoding data includes: time, radio altitude, airspeed, LOCAL sidestick force, FOREIGN sidestick force, left master air-to-ground switch status, right master air-to-ground switch status and pitch angle.
3. The method for analyzing effective control by the primary pilot based on QAR data according to claim 1, characterized in that: Initializing and correcting the stick force in the flight decoding data includes: for the landing phase, moving forward from the stationary moment to a first preset time period and analyzing it second by second, sorting the data in the first preset time period and eliminating meaningless values, and using the remaining values as correction values for initialization correction.
4. The method for analyzing effective control by the primary pilot based on QAR data according to claim 1, characterized in that: Limiting the scope of data analysis includes: setting the altitude of the aircraft during takeoff and landing, and using the QAR data within the range of the aircraft during takeoff and landing as the analysis object.
5. The method for analyzing effective control by the primary pilot based on QAR data according to claim 1, characterized in that: The control stick data analysis logic further includes: setting a second directional force threshold value, and when the control sticks on both sides have different directional forces and the difference in the control stick forces on both sides is less than the set second directional force threshold value, determining that the control stick on the side with the larger control stick force is dominant; when the control sticks on both sides have different directional forces and the difference in the control stick forces on both sides is greater than the set second directional force threshold value, directly determining that the FOREIGN side intervention operation is carried out.
6. The primary pilot effective control analysis system based on QAR data is characterized by: include: The data acquisition module is configured to: acquire flight decoding data; a stick force correction module configured to: initialize and correct the stick force in the obtained flight decoded data and limit the data analysis range; The data analysis module is configured to: construct a control stick data analysis logic, execute the control stick data analysis logic within a limited data analysis range to analyze the control stick force after initialization and correction, so as to determine whether the primary pilot is effectively controlling the aircraft; wherein the control stick data analysis logic includes: setting a first directional force threshold, and when the control sticks on both sides have the same directional force and the difference between the control stick forces on both sides is greater than the set first directional force threshold, determining that the control stick with the larger force among the two control stick forces is dominant; The data matching module is configured to: match the flight decoding data with the mission book information to determine whether the primary pilot's control rate meets the standard; and determine the primary pilot's actual effective control status based on the primary pilot's effective control and the control rate meeting the standard; wherein, matching the flight decoding data with the mission book information includes: matching the seat occupant information in the mission book with the autopilot channel status to determine whether the current flight is a flight with a command and whether the primary pilot's control rate meets the standard.
7. A computer-readable storage medium having a program stored thereon, characterized in that: When the program is executed by a processor, the steps of the method for analyzing effective maneuvering of a primary pilot based on QAR data are implemented.
8. An electronic device comprising a memory, a processor, and a program stored in the memory and executable on the processor, wherein: When the processor executes the program, the steps of the primary pilot effective maneuver analysis method based on QAR data are implemented as described in any one of claims 1 to 5.