Flight simulation and control system and method for flight simulator

Abstract

The application discloses a flight simulation simulation control system and method for a flight simulator, comprising: collecting comprehensive state data of the flight simulator; determining a flight signal sequence based on the comprehensive state data, and performing feature extraction on the flight signal sequence to obtain a flight exchange coefficient based on an exchange coefficient segment determined based on an initial coefficient and a filtering interval; generating a flight coefficient spectrum diagram and obtaining a target flight route based on the flight coefficient spectrum diagram; obtaining a simulation flight exchange coefficient after executing the target flight route, and obtaining a comprehensive flight coefficient spectrum diagram in combination with the flight coefficient spectrum diagram; setting a check node segment to determine a standard node coefficient and a simulation node coefficient, and performing deviation checking and position matching based on the standard node coefficient and the simulation node coefficient to obtain an abnormal simulation position; uploading the abnormal simulation position to a flight simulation control center, issuing a simulation early warning to the flight simulator, and checking and evaluating the flight route and the flight state of the flight simulator through a teacher terminal, so that the simulation simulation efficiency and the flight training effect are improved.

Description

Technical Field

[0001] This invention relates to the field of flight simulator technology, specifically to a flight simulation control system and control method for flight simulators. Background Technology

[0002] A flight simulator is a device used to simulate the operation and flight experience of an aircraft under real flight conditions. It can simulate the movement, operation, and environment of an aircraft in the air. It is used not only for civil aviation training but also widely in military, aerospace, research, and flight entertainment systems. Taking flight training as an example, flight simulators provide simulations of various flight scenarios, environments, and aircraft types to help pilots and flight-related personnel conduct training, testing, and research.

[0003] With the continuous development of aviation technology, the functional and precision requirements of flight simulators are gradually increasing. Traditional flight simulators mainly rely on mechanical and electrical systems to reproduce flight conditions, but this method has limited accuracy and flexibility. In recent years, the introduction of digital and intelligent technologies has provided new opportunities for the development of flight simulators. By combining high-precision sensors, real-time data processing, and intelligent algorithms, the realism and accuracy of flight simulations can be significantly improved. Summary of the Invention

[0004] The purpose of this invention is to provide a flight simulation control system and its control method for flight simulators, to achieve high-precision and high-reliability flight simulation control, to improve the realism and accuracy of flight simulators, and to provide a system tool for pilot training and aircraft testing.

[0005] According to a first aspect of the present invention, a flight simulation control method for a flight simulator is proposed, comprising the following steps:

[0006] Collect comprehensive status data from the flight simulator, including flight status data and position data;

[0007] The collected comprehensive status data is converted into electrical signals and sorted to obtain flight signal sequences. Based on the exchange coefficient segments determined by the initial exchange coefficient and the filtering interval, features are extracted from the flight signal sequences to obtain flight exchange coefficients.

[0008] Based on the obtained flight exchange coefficients, a flight coefficient spectrum diagram is generated and the target flight path is obtained accordingly. After the aircraft executes the target flight path, the simulated flight exchange coefficients are collected and processed to obtain the simulated flight exchange coefficients. Combined with the flight coefficient spectrum diagram, a comprehensive flight coefficient spectrum diagram is obtained.

[0009] Verification node segments are set in the comprehensive flight coefficient spectrum to obtain standard node coefficients and simulated node coefficients. Based on these, deviation verification is performed to obtain abnormal deviations. Finally, the obtained abnormal deviations are matched with the comprehensive flight coefficient spectrum to obtain abnormal simulated positions.

[0010] According to a second aspect of the present invention, a flight simulation control system for a flight simulator is proposed, comprising a flight simulation control platform and a flight simulation data acquisition module, a data processing module, a flight simulation spectrum analysis module, and a deviation position matching module that interact with the flight simulation control platform.

[0011] The flight simulation data acquisition module is used to collect comprehensive status data of the flight simulator, which includes flight status data and position data.

[0012] The data processing module is used to convert and sort the collected comprehensive status data into electrical signals to obtain a flight signal sequence, and to extract features from the flight signal sequence based on the initial exchange coefficient and the exchange coefficient segment determined by the filter interval to obtain the flight exchange coefficient.

[0013] The flight simulation spectrum analysis module is used to generate a flight coefficient spectrum diagram based on the obtained flight switching coefficients and obtain the target flight route accordingly. After the aircraft executes the target flight route, it collects and processes data to obtain the simulated flight switching coefficients and combines the flight coefficient spectrum diagram to obtain a comprehensive flight coefficient spectrum diagram.

[0014] The deviation position matching module is used to set verification node segments in the comprehensive flight coefficient spectrum, obtain standard node coefficients and simulated node coefficients, and perform deviation verification to obtain abnormal deviations. Finally, the obtained abnormal deviations are matched with the comprehensive flight coefficient spectrum to obtain abnormal simulated positions.

[0015] In a third aspect of the present invention, a computer system is also provided, comprising:

[0016] One or more processors;

[0017] Memory;

[0018] The memory is configured to store operable instructions that, when executed by the one or more processors, cause the one or more processors to perform operations, including the aforementioned process of executing the flight simulation control method for a flight simulator.

[0019] Compared with existing technologies, the beneficial effects of the flight simulation control method for flight simulators proposed in this invention are as follows:

[0020] (1) In the simulation control of the flight simulator, the present invention performs electrical signal conversion on the collected comprehensive status data and sorts it according to the timestamp of the collection time to obtain the flight signal sequence, ensuring the temporal consistency of the data and serving as a benchmark for subsequent flight data processing and analysis.

[0021] (2) This invention processes the flight signal sequence in segments and extracts features (such as Fourier transform, discrete wavelet transform, etc.) by changing the initial coefficients and the changing coefficient segments determined by the filtering interval. It analyzes the frequency components of the flight signal and extracts the flight changing coefficients to obtain characteristic information representing the flight state and reflect the dynamic changes of the aircraft. This converts the different sources and different data forms collected into unified flight changing coefficients, which is convenient for constructing a spectrum diagram. Observing the changes in the comprehensive state data is beneficial for standardizing the simulated comprehensive state data collected during the flight simulator to obtain the simulated flight changing coefficients.

[0022] (3) The present invention obtains a comprehensive flight coefficient spectrum based on the simulated flight switching coefficient and the flight switching coefficient, which intuitively displays the frequency components of the flight signal; and by analyzing the spectrum, the target flight route of the aircraft is determined, thereby providing basic data for subsequent matching of the predetermined flight trajectory or optimization of the flight path;

[0023] (4) By comparing the data obtained from executing the target flight route, deviation verification and position matching of the simulated flight are performed to obtain abnormal simulation positions, thereby enabling the monitoring of path deviations during the flight simulator's flight process and realizing the verification of the simulated flight. After the aircraft executes the target flight route, the simulated flight data is collected and processed to extract the simulated flight conversion coefficients. The simulated flight conversion coefficients are combined with the flight coefficient spectrum of the target flight to generate a comprehensive flight coefficient spectrum. By comparing the comprehensive spectrum, the consistency and differences during the flight process are further analyzed. That is, verification node segments are set on the comprehensive spectrum to perform deviation verification and anomaly detection, thereby identifying abnormal deviations. Furthermore, through position matching, the abnormal deviations are matched with the comprehensive spectrum to determine the abnormal simulation positions, which helps to identify the specific location and cause of errors during the flight simulation, thereby improving the efficiency of simulation and the effectiveness of flight training.

[0024] It should be understood that all combinations of the foregoing concepts and the additional concepts described in more detail below may be considered part of the inventive subject matter of this disclosure, provided that such concepts do not contradict each other. Furthermore, all combinations of the claimed subject matter are considered part of the inventive subject matter of this disclosure.

[0025] The foregoing and other aspects, embodiments, and features of the teachings of the present invention will be more fully understood from the following description in conjunction with the accompanying drawings. Other additional aspects of the invention, such as features and / or beneficial effects of exemplary embodiments, will become apparent from the following description or may be learned through practice of specific embodiments according to the teachings of the present invention. Attached Figure Description

[0026] Figure 1 This is a schematic flowchart of a flight simulation control method for a flight simulator according to an exemplary embodiment of the present invention.

[0027] Figure 2 This is a schematic diagram of a flight simulation control system for a flight simulator according to an exemplary embodiment of the present invention. Detailed Implementation

[0028] The technical solution of the present invention will now be clearly and completely described in conjunction with the accompanying drawings and embodiments.

[0029] Various aspects of the invention are described in this disclosure with reference to the accompanying drawings, in which numerous illustrative embodiments are shown. The embodiments of this disclosure are not necessarily intended to encompass all aspects of the invention. It should be understood that the various concepts and embodiments described above, as well as those described in more detail below, can be implemented in any of many ways, because the concepts and embodiments disclosed herein are not limited to any particular implementation. Furthermore, some aspects of the invention disclosed may be used alone or in any suitable combination with other aspects of the invention disclosed.

[0030] {Example 1}

[0031] Combination Figure 1 The process shown, according to an embodiment of the flight simulation control method for a flight simulator based on an embodiment of the present invention, includes the following steps:

[0032] Collect comprehensive status data from the flight simulator, including flight status data and position data;

[0033] The collected comprehensive status data is converted into electrical signals and sorted to obtain flight signal sequences. Based on the exchange coefficient segments determined by the initial exchange coefficient and the filtering interval, features are extracted from the flight signal sequences to obtain flight exchange coefficients.

[0034] Based on the obtained flight exchange coefficients, a flight coefficient spectrum diagram is generated and the target flight path is obtained accordingly. After the aircraft executes the target flight path, the simulated flight exchange coefficients are collected and processed to obtain the simulated flight exchange coefficients. Combined with the flight coefficient spectrum diagram, a comprehensive flight coefficient spectrum diagram is obtained.

[0035] Verification node segments are set in the comprehensive flight coefficient spectrum to obtain standard node coefficients and simulated node coefficients. Based on these, deviation verification is performed to obtain abnormal deviations. Finally, the obtained abnormal deviations are matched with the comprehensive flight coefficient spectrum to obtain abnormal simulated positions.

[0036] As an optional embodiment, the aforementioned process of collecting comprehensive status data from the flight simulator includes:

[0037] Based on the sensor acquisition terminal and positioning verification terminal set in the flight simulator, the comprehensive data of the flight simulator is collected through the sensor acquisition terminal to obtain flight status data, and the time of collection of flight status data is marked as the collection time.

[0038] The flight position of the flight simulator is verified by the positioning verification terminal to obtain position data.

[0039] The aforementioned status flight data includes planned flight route, environmental data, flight altitude, and flight performance.

[0040] Furthermore, in the specific implementation process, the aforementioned environmental data includes air pressure, temperature, wind direction, and wind speed. The aforementioned flight performance includes the aircraft's lift, drag, thrust, and weight.

[0041] As an optional embodiment, the aforementioned initial coefficient and filtering interval are configured to be preset, including:

[0042] The obtained comprehensive status data is converted into electrical signals to obtain flight status electrical signals. In the specific implementation process, based on the planned flight route, environmental data, flight performance, and position data of the aforementioned comprehensive status data, the flight status electrical signals obtained through analog-to-digital conversion and normalization processing include planned flight route electrical signals, environmental data electrical signals, flight performance electrical signals, and position data electrical signals.

[0043] Then set the statistical period based on the collection time;

[0044] The obtained flight status electrical signals are sorted based on the statistical period to obtain flight signal sequences. The flight signal sequences generated based on the flight status electrical signals include planned flight route signal sequences, environmental data signal sequences, flight performance signal sequences, and position data signal sequences.

[0045] The initial coefficients of the function expression are changed based on the obtained acquisition time and flight signal sequence;

[0046] Set the filter parameters;

[0047] The filtering interval is set based on the obtained flight status electrical signals.

[0048] Furthermore, the aforementioned exchange of initial coefficients is expressed in functional form.

[0049] Furthermore, the initial coefficients are decomposed into time and frequency axes. The specific operation of the dimensional decomposition includes decomposing the initial coefficients into components in different dimensions, namely the time axis in the horizontal dimension and the frequency axis in the vertical dimension.

[0050] Furthermore, the aforementioned filtering parameters are used to control the scaling and translation of the initial coefficients on the time and frequency axes.

[0051] Furthermore, the filtering interval is set based on the obtained flight status electrical signal, and the obtained filtering interval is denoted as Δv. Here, the filtering interval represents the interval between two adjacent filtering parameters.

[0052] Combination Figure 1 Furthermore, the number of filters is determined based on the obtained filter parameters, filter intervals, and flight signal sequences, and the obtained number of filters is denoted as LG, where, L represents the length of the flight signal sequence, and C represents the filtering parameter.

[0053] Therefore, the initial coefficients are discretized based on the number of filters obtained, and the coefficient segments are obtained.

[0054] Furthermore, through discrete partitioning, the initial coefficients are divided into equal segments based on the obtained number of filter changes.

[0055] Combination Figure 1 The process shown in this embodiment of the invention involves extracting features from the flight signal sequence based on the swapping coefficient segment to obtain the flight swapping coefficients, including the following steps:

[0056] The number of filters is determined based on the obtained filter parameters, filter intervals, and flight signal sequences;

[0057] The initial coefficients are discretized based on the number of filters obtained to obtain the coefficient segments;

[0058] Based on the obtained transposition coefficient segments, feature extraction is performed on the obtained flight signal sequence to obtain the flight transposition coefficients.

[0059] In the specific implementation process, the aforementioned feature extraction of the obtained flight signal sequence based on the swap coefficient segment includes: mapping the swap coefficient segment one-to-one from the starting point of the flight signal sequence, performing convolution operation between the swap coefficient and the corresponding position of the flight signal sequence to obtain the node swap coefficient, until the swap coefficient has completed the convolution operation with all flight signal sequences, and summing the obtained swap coefficients to obtain the flight swap coefficient.

[0060] Furthermore, based on the planned flight route signal sequence, environmental data signal sequence, flight performance signal sequence, and position data signal sequence included in the flight signal sequence, the flight change factor also includes the planned route change factor, environmental change factor, flight performance change factor, and position change factor.

[0061] According to the combination Figure 1 The process shown, as an optional embodiment, involves obtaining simulated integrated state data, including:

[0062] A flight coefficient spectrum is generated based on the obtained flight interchange coefficients;

[0063] The obtained flight coefficient spectrum diagram is spectral-marked to obtain the standard flight coefficient spectrum line;

[0064] The flight simulator is used to mark routes based on the obtained flight status data to obtain the target flight route;

[0065] Based on the obtained target flight path, the flight simulator is issued simulation operation commands. The flight simulator's sensor acquisition terminal receives and executes the simulation operation commands to obtain comprehensive simulation status data.

[0066] The standard flight coefficient spectrum includes the standard route coefficient spectrum, the standard environmental coefficient spectrum, the standard flight performance coefficient spectrum, and the standard position coefficient spectrum.

[0067] Furthermore, the spectrum labeling refers to labeling the generated spectrum curves within the spectrum diagram with corresponding names, such as standard route coefficient spectrum line, standard environmental coefficient spectrum line, standard flight performance coefficient spectrum line, and standard position coefficient spectrum line.

[0068] Furthermore, the route markings are obtained based on the planned flight route in the flight status data, and with reference to environmental data, flight altitude, and flight performance, the target flight route is obtained, which is the most suitable flight route for the flight simulator.

[0069] Based on the obtained target flight path, the flight simulator is issued simulation operation commands. The flight simulator's sensor acquisition terminal receives the parallel simulation operation commands and obtains comprehensive simulation status data. This comprehensive simulation status data includes the simulated planned flight path, simulated environmental data, simulated flight performance, and simulated position data.

[0070] According to the combination Figure 1 The process shown, as an optional embodiment, involves obtaining the comprehensive flight coefficient spectrum diagram, including:

[0071] The obtained simulated integrated state data is converted into electrical signals and sorted to obtain a simulated flight signal sequence;

[0072] Based on the obtained transposition coefficient segments, feature extraction is performed on the obtained simulated flight signal sequence to obtain the simulated flight transposition coefficients;

[0073] The obtained simulated flight change coefficients are uploaded to the flight coefficient spectrum graph to obtain the comprehensive flight coefficient spectrum graph.

[0074] Furthermore, by converting the simulated integrated state data into electrical signals and sorting them according to time series, a simulated flight signal sequence is obtained. The simulated flight signal sequence includes a simulated planned flight route signal sequence, a simulated environmental data signal sequence, a simulated flight performance signal sequence, and a simulated position data signal sequence.

[0075] Furthermore, feature extraction is performed on the obtained simulated flight signal sequence based on the obtained switching coefficient segments to obtain the simulated flight switching coefficients. The simulated flight switching coefficients include simulated planned route switching coefficients, simulated environment switching coefficients, simulated flight performance switching coefficients, and simulated position switching coefficients.

[0076] The obtained simulated flight conversion coefficients are uploaded to the flight coefficient spectrum map to obtain the comprehensive flight coefficient spectrum map. The spectrum curves generated by the simulated flight conversion coefficients are marked as simulated flight coefficient spectrum lines, including simulated route coefficient spectrum lines, simulated environment coefficient spectrum lines, simulated flight performance coefficient spectrum lines, and simulated position coefficient spectrum lines.

[0077] According to the combination Figure 1 The process shown, as an optional embodiment, involves deviation verification to obtain abnormal deviations, and finally, position matching of the obtained abnormal deviations with the comprehensive flight coefficient spectrum to obtain the abnormal simulated position. This refers to setting verification node segments in the comprehensive flight coefficient spectrum to perform deviation verification and position matching to obtain the abnormal simulated position, including:

[0078] The simulation deviation is obtained based on the set standard node coefficients and simulated node coefficients. The simulation deviation is then checked to obtain the abnormal deviation. Finally, the obtained abnormal deviation is matched with the comprehensive flight coefficient spectrum to obtain the abnormal simulated position.

[0079] Furthermore, the specific operational process for obtaining abnormal deviations through deviation verification includes:

[0080] Based on the obtained comprehensive flight coefficient spectrum, set up verification node segments, upload the obtained verification node segments to the comprehensive flight coefficient spectrum, and obtain standard node coefficients and simulated node coefficients; the standard node coefficients are the node values ​​where the verification node segments intersect with the standard flight coefficient spectrum lines, and the simulated node coefficients represent the node values ​​where the verification node segments intersect with the simulated flight coefficient spectrum lines.

[0081] The simulation deviation is obtained based on the determined standard node coefficients and simulated node coefficients, and is denoted as ΔMP. k , where ΔMP k = |X k-标 -X k-模 |, k represents the position of the check node segment, and k = 1, 2, 3, ..., u1, where u1 is a positive integer; X k-标 X represents the standard node coefficient of the k-th check node segment. k-模 Represents the simulated node coefficients of the k-th verification node segment;

[0082] Set a deviation threshold and mark the obtained deviation threshold as M0. In particular, in this embodiment, M0 = 0.

[0083] The simulated deviation is checked based on the obtained deviation threshold to identify abnormal deviations.

[0084] In practical implementation, the deviation verification process refers to comparing the deviation threshold with the simulated deviation. The simulated deviation at this point is the difference between the simulated node coefficient obtained by intersecting the simulated position coefficient spectrum line with the verification node segment and the standard node coefficient obtained by intersecting the standard position coefficient spectrum line with the verification node segment. If ΔMP k If ΔMP ≠ M0, then the simulation deviation at the k-th verification node segment is an abnormal deviation. This means the standard node coefficient is not equal to the simulation node coefficient, indicating that the flight simulator, after executing the simulation operation command, did not simulate the target flight path, resulting in a deviation from the standard position coefficient spectrum. k =M0, then the simulation deviation at the k-th verification node segment is normal simulation, that is, the flight simulator after executing the simulation operation command runs exactly according to the target flight path and has no deviation from the standard position coefficient spectrum line.

[0085] As an optional example, the aforementioned verification node segment is a time period perpendicular to the horizontal axis, representing a line segment at a time node.

[0086] Furthermore, the obtained abnormal deviations are matched with the comprehensive flight coefficient spectrum to obtain the simulated abnormal location.

[0087] In the specific implementation process, the operations for position matching based on abnormal deviations and the comprehensive flight coefficient spectrum include:

[0088] The abnormal deviation is matched with the acquisition time of the corresponding k-th verification node segment, and the corresponding simulated position data, i.e., the abnormal simulated position, is obtained based on the successfully matched acquisition time.

[0089] The abnormal simulated location is uploaded to the flight simulation control center. The flight simulation control center (which can be controlled by the instructor) issues a simulated warning to the flight simulator. The instructor can then check and assess the flight path and flight status of the flight simulator through the instructor's terminal.

[0090] {Example 2}

[0091] Combination Figure 2 As shown, the present invention also proposes a flight simulation control system for a flight simulator, including a flight simulation control platform and a flight simulation data acquisition module, a data processing module, a flight simulation spectrum analysis module, and a deviation position matching module that interact with the flight simulation control platform.

[0092] The flight simulation data acquisition module is used to collect comprehensive status data of the flight simulator, which includes flight status data and position data.

[0093] The data processing module is used to convert and sort the collected comprehensive status data into electrical signals to obtain the flight signal sequence, and to extract features from the flight signal sequence based on the initial exchange coefficient and the exchange coefficient segment determined by the filter interval to obtain the flight exchange coefficient.

[0094] The flight simulation spectrum analysis module is used to generate a flight coefficient spectrum diagram based on the obtained flight conversion coefficients and obtain the target flight route accordingly. After the aircraft executes the target flight route, it collects and processes data to obtain the simulated flight conversion coefficients, and combines the flight coefficient spectrum diagram to obtain a comprehensive flight coefficient spectrum diagram.

[0095] The deviation position matching module is used to set verification node segments in the comprehensive flight coefficient spectrum diagram, obtain standard node coefficients and simulated node coefficients, and perform deviation verification to obtain abnormal deviations. Finally, the obtained abnormal deviations are matched with the comprehensive flight coefficient spectrum diagram to obtain abnormal simulated positions.

[0096] It should be understood that the functions and specific implementation processes of the aforementioned flight simulation data acquisition module, data processing module, flight simulation spectrum analysis module, and deviation position matching module can be implemented using the corresponding process of the flight simulation control method for flight simulators in the aforementioned embodiments.

[0097] {Example 3}

[0098] According to the disclosure of the present invention, a computer system is also proposed, comprising: one or more processors, and memory.

[0099] The memory is configured to store operable instructions that, when executed by the one or more processors, cause the one or more processors to perform operations, including the execution of the flight simulation control method for a flight simulator as described in the foregoing embodiments.

[0100] While the present invention has been disclosed above with reference to preferred embodiments, it is not intended to limit the invention. Those skilled in the art can make various modifications and refinements without departing from the spirit and scope of the invention. Therefore, the scope of protection of the present invention shall be determined by the claims.

Claims

1. A flight simulation control method for a flight simulator, characterized in that, Includes the following steps: Collect comprehensive status data from the flight simulator, including flight status data and position data; The collected comprehensive status data is converted into electrical signals and sorted to obtain flight signal sequences. Based on the exchange coefficient segments determined by the initial exchange coefficient and the filtering interval, features are extracted from the flight signal sequences to obtain flight exchange coefficients. Based on the obtained flight exchange coefficients, a flight coefficient spectrum diagram is generated and the target flight path is obtained accordingly. After the aircraft executes the target flight path, the simulated flight exchange coefficients are collected and processed to obtain the simulated flight exchange coefficients. Combined with the flight coefficient spectrum diagram, a comprehensive flight coefficient spectrum diagram is obtained. Verification node segments are set in the comprehensive flight coefficient spectrum diagram to obtain standard node coefficients and simulated node coefficients. Based on these, deviation verification is performed to obtain abnormal deviations. Finally, the obtained abnormal deviations are matched with the comprehensive flight coefficient spectrum diagram to obtain abnormal simulated positions. The standard node coefficient is the node value where the verification node segment intersects with the standard flight coefficient spectrum line, and the simulated node coefficient represents the node value where the verification node segment intersects with the simulated flight coefficient spectrum line. The initial switching coefficient and the filtering interval are configured to be preset, including: The acquired integrated status data is converted into electrical signals to obtain flight status electrical signals; The statistical period is set according to the collection time, where the collection time is the time for collecting flight status data; The obtained flight status electrical signals are sorted based on statistical periods to obtain flight signal sequences; The initial coefficients are adjusted based on the acquired acquisition time and flight signal sequence. Set the filter parameters; The filtering interval is set based on the obtained flight status electrical signals; The step of extracting features from the flight signal sequence based on the swapping coefficient segment determined by the initial swapping coefficient and the filtering interval to obtain the flight swapping coefficient includes: The number of filters is obtained based on the filter parameters, filter intervals, and flight signal sequences. The initial coefficients are discretized based on the number of filters obtained to obtain the coefficient segments; Based on the obtained transposition coefficient segments, feature extraction is performed on the obtained flight signal sequence to obtain the flight transposition coefficients.

2. The flight simulation control method for a flight simulator according to claim 1, characterized in that, The process of collecting comprehensive status data from the flight simulator includes: Based on the sensor acquisition terminal and positioning verification terminal set in the flight simulator, the comprehensive data of the flight simulator is collected through the sensor acquisition terminal to obtain flight status data, and the time of data collection is marked and recorded as the collection time. The flight position of the flight simulator is verified by the positioning verification terminal to obtain position data.

3. The flight simulation control method for a flight simulator according to claim 1, characterized in that, The process of obtaining simulated integrated state data includes: A flight coefficient spectrum is generated based on the obtained flight interchange coefficients; The obtained flight coefficient spectrum diagram is spectral-marked to obtain the standard flight coefficient spectrum line; The flight simulator is used to mark routes based on the obtained flight status data to obtain the target flight route; Based on the obtained target flight path, the flight simulator is issued simulation operation commands. The flight simulator's sensor acquisition terminal receives and executes the simulation operation commands to obtain comprehensive simulation status data.

4. The flight simulation control method for a flight simulator according to claim 3, characterized in that, The process of obtaining the comprehensive flight coefficient spectrum includes: The obtained simulated integrated state data is converted into electrical signals and sorted to obtain a simulated flight signal sequence; Based on the obtained transposition coefficient segments, feature extraction is performed on the obtained simulated flight signal sequence to obtain the simulated flight transposition coefficients; The obtained simulated flight change coefficients are uploaded to the flight coefficient spectrum graph to obtain the comprehensive flight coefficient spectrum graph.

5. The flight simulation control method for a flight simulator according to claim 4, characterized in that, The process involves performing deviation verification to obtain abnormal deviations, and finally matching the obtained abnormal deviations with the comprehensive flight coefficient spectrum to obtain the abnormal simulated positions, including: The simulation deviation is obtained based on the standard node coefficient and the simulated node coefficient. The simulation deviation is then checked to obtain the abnormal deviation. Finally, the obtained abnormal deviation is matched with the comprehensive flight coefficient spectrum to obtain the abnormal simulated position.

6. The flight simulation control method for a flight simulator according to claim 5, characterized in that, The specific operations for deviation verification and position matching include: Based on the obtained comprehensive flight coefficient spectrum, set up verification node segments, upload the obtained verification node segments to the comprehensive flight coefficient spectrum, and obtain standard node coefficients and simulated node coefficients; The simulation bias is obtained based on the standard node coefficients and the simulated node coefficients. Set a deviation threshold, and perform deviation verification on the simulated deviation based on the obtained deviation threshold to obtain abnormal deviations; The obtained abnormal deviations are matched with the comprehensive flight coefficient spectrum to obtain the simulated abnormal location.

7. A flight simulation control system for a flight simulator implemented according to the flight simulation control method for a flight simulator as described in claim 1, characterized in that, The flight simulation control system includes a flight simulation control platform and a flight simulation data acquisition module, a data processing module, a flight simulation spectrum analysis module, and a deviation position matching module that interact with the flight simulation control platform. The flight simulation data acquisition module is used to collect comprehensive status data of the flight simulator, which includes flight status data and position data. The data processing module is used to convert and sort the collected comprehensive status data into electrical signals to obtain a flight signal sequence, and to extract features from the flight signal sequence based on the initial exchange coefficient and the exchange coefficient segment determined by the filter interval to obtain the flight exchange coefficient. The flight simulation spectrum analysis module is used to generate a flight coefficient spectrum diagram based on the obtained flight switching coefficients and obtain the target flight route accordingly. After the aircraft executes the target flight route, it collects and processes data to obtain the simulated flight switching coefficients and combines the flight coefficient spectrum diagram to obtain a comprehensive flight coefficient spectrum diagram. The deviation position matching module is used to set verification node segments in the comprehensive flight coefficient spectrum, obtain standard node coefficients and simulated node coefficients, and perform deviation verification to obtain abnormal deviations. Finally, the obtained abnormal deviations are matched with the comprehensive flight coefficient spectrum to obtain abnormal simulated positions.

8. A computer system, characterized in that, include: One or more processors; Memory; The memory is configured to store operable instructions that, when executed by the one or more processors, cause the one or more processors to perform operations, including the process of executing the flight simulation control method for a flight simulator as described in any one of claims 1-6.

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