A tactical flight simulation training system
Real-time data exchange between flight simulators is achieved through modular design and advanced communication technology, which solves the limitations of the existing technology in tactical simulation and improves the pilot's tactical literacy and team collaboration capabilities.
Patent Information
- Application Number
- CN202411766016.3
- Authority / Receiving Office
- CN · China
- Patent Type
- Patents(China)
- Current Assignee / Owner
- Filing Date
- 2024-12-04
- Publication Date
- 2025-02-25
- Estimated Expiration
- 2044-12-04
AI Technical Summary
The existing flight simulators have limitations in tactical simulation, and cannot fully simulate the importance of team collaboration and tactical cooperation in actual tasks, and cannot provide a realistic enough tactical environment and adversary behavior simulation.
By introducing modular design and advanced communication technology, real-time dynamic data exchange between flight simulators can be realized, and more complex and real tactical mission scenarios are simulated, including formation flight, collaborative attack, defensive maneuver, etc.
It improves the pilot's tactical literacy and response ability in tactical flight training, enhances team collaboration and communication skills, and improves the combat effectiveness of the entire crew.
Smart Images

Figure CN119229712B_ABST
Abstract
Description
Technical Field
[0001] The invention belongs to the field of flight simulation, in particular to a tactical flight simulation training system. Background Art
[0002] With the rapid development of aviation technology, flight simulators, as an important training tool, have been widely used in the training and cultivation of pilots. These simulators enable pilots to master flying skills in a safe environment and improve their ability to cope with various complex situations through highly realistic simulation environments. There are many types of flight simulators on the market, which can simulate different types of aircraft, flight environments and mission scenarios; provide highly realistic flight experience, including visual, auditory, tactile and other aspects of simulation. This allows pilots to experience an environment similar to real flight in the simulator, so as to conduct effective flight training.
[0003] However, although current flight simulators have reached a fairly high level in simulation effects, there are still some limitations, especially in tactical simulation. Most current flight simulators can only be used for simulation training of a single trainee. Although this training method can exercise the individual skills of pilots, it cannot fully simulate the importance of teamwork and tactical coordination in actual tasks. In actual tasks, pilots often need to perform various complex tactical tasks, including formation flying, coordinated attacks, defensive maneuvers, etc. However, existing flight simulators often seem to be unable to simulate these tactical tasks and cannot provide sufficiently realistic tactical environments and opponent behavior simulations.
[0004] In summary, although current flight simulators have reached a fairly high level in simulation effect, they still have obvious limitations in tactical simulation. These limitations limit the application effect of flight simulators in tactical flight training, making pilots face greater challenges and risks in actual missions. Based on this, the present invention provides a tactical flight simulation training system. Summary of the invention
[0005] In order to solve the problems existing in the above scheme, the present invention provides a tactical flight simulation training system.
[0006] The purpose of the present invention can be achieved through the following technical solutions:
[0007] A tactical flight simulation training system includes a docking module and a training module;
[0008] The docking module is used to perform docking adjustment on each flight simulator, and includes a connection unit, a modular flight unit and an integrated unit. The modular flight unit is used to collect flight simulation data of the flight simulator in real time and receive associated scene data, and dynamically adjust the scene of the flight simulator according to the associated scene data; the connection unit is used to connect with the integrated unit and each modular flight unit, and receive the flight simulation data of each modular flight unit; the integrated unit is used to perform integrated simulation display and obtain an integrated display image;
[0009] The connection unit connects the modular flight units according to a preset tactical task, and marks the connected modular flight units as simulation application units;
[0010] The flight simulation data of the flight simulator is acquired in real time through the simulation application unit, the associated units of each simulation application unit are determined through the connection unit, each flight simulation data is processed according to each associated unit to obtain the associated scene data of each simulation application unit, each associated scene data is sent to the corresponding simulation application unit, and the simulation application unit dynamically adjusts the scene of the flight simulator according to the associated scene data; and the integrated display image is displayed in real time through the integrated unit.
[0011] Furthermore, the comprehensive display image includes a personal perspective image corresponding to each flight crew member and a global perspective image.
[0012] Furthermore, the method for the modular flight unit to dynamically adjust the scene of the flight simulator according to the associated scene data is as follows:
[0013] Determine a reference scene for each flight simulator, obtain aircraft information of each associated unit of each flight simulator, and generate each aircraft model in the reference scene according to each aircraft information;
[0014] Acquire associated scene data, and adjust each of the aircraft models in real time according to the associated scene data.
[0015] Furthermore, the method for determining the reference scenario includes:
[0016] When the initial scenes of the flight simulators are the same, the reference scenes of the flight simulators are determined according to the initial scenes.
[0017] Furthermore, the method for determining the reference scenario includes:
[0018] When the initial scenes of the flight simulators are not all the same, identifying the initial scenes of the flight simulators, performing adjustment analysis on the initial scenes, and determining the various adjustment methods; performing adjustment evaluation according to the adjustment methods, and determining the adjustment duration and scene difference rate corresponding to the adjustment methods;
[0019] According to the formula Calculate the priority value of the corresponding adjustment method;
[0020] Where: QY is the priority value; e is a natural constant; T is the adjustment time; y(T) is the judgment function, , X1 is the threshold; η is the scene difference rate;
[0021] A reserve adjustment method is set according to the adjustment method with the largest priority value, and each initial scene is adjusted in real time according to the reserve adjustment method to obtain a reference scene of each flight simulator.
[0022] Furthermore, each flight simulator is located in the same building space.
[0023] Furthermore, the flight simulators are not located in the same building space.
[0024] The training module is used to carry out tactical mission training, set tactical tasks, and the flight personnel of each flight simulator carry out tactical training according to the tactical tasks; real-time identification of comprehensive display images and flight simulation data of each flight personnel; training evaluation is carried out according to each flight simulation data and comprehensive display images to obtain the training results of the tactical tasks.
[0025] Furthermore, the method for conducting training evaluation based on each flight simulation data and the integrated display image includes:
[0026] Classify each flight simulation data according to scenario conditions, execution process and execution results to form evaluation material data for each flight crew;
[0027] The evaluation material data are analyzed according to preset training standards to obtain evaluation results corresponding to the evaluation material data, and the evaluation results are summarized to form personnel evaluation results of each flight crew member and comprehensive evaluation results of the tactical task, and the personnel evaluation results and comprehensive evaluation results are integrated into training results.
[0028] Furthermore, it also includes a flight optimization module, which is used to optimize and evaluate the flight simulators corresponding to each modular flight unit to determine whether each flight simulator needs to be replaced or adjusted;
[0029] When it is assessed that replacement and adjustment are required, the flight simulator that needs replacement and adjustment is replaced, and a modular flight unit of the flight simulator is set, and the modular flight unit is connected to the connection unit;
[0030] When the assessment does not require replacement adjustment, no replacement operation is performed.
[0031] Furthermore, the method for optimizing and evaluating the flight simulator corresponding to each modular flight unit includes:
[0032] Acquire various tactical training requirements in real time and set the demand proportion of each tactical training requirement;
[0033] A tactical demand assessment model is established, and the expression of the tactical demand assessment model is: ;
[0034] Where: (s, pi) is the input data, s is the flight simulator information; pi represents the tactical training requirement, i=1, 2, ..., n, n is the number of tactical training requirements, i represents the serial number subscript of the tactical training requirement; s→pi represents that the flight simulator information meets the tactical training requirement; the output data is the tactical requirement value XP(s, pi), and the tactical requirement value is 1 or 0;
[0035] Analyze each flight simulator and tactical training requirement through the tactical requirement assessment model to obtain the tactical requirement value of each flight simulator for each tactical training requirement;
[0036] According to the formula Calculate the continuous application demand value of each flight simulator;
[0037] Where: PU is the continuous application demand value; e is a natural constant; βi is the demand proportion, i=1, 2, ..., n, XP(s, pi) is the tactical demand value;
[0038] Whether each of the flight simulators needs to be replaced and adjusted is determined according to each of the continuous application demand values.
[0039] Compared with the prior art, the present invention has the following beneficial effects:
[0040] The present invention realizes real-time dynamic data exchange between flight simulators by introducing modular design and advanced communication technology, and can simulate more complex and realistic tactical mission scenarios. This includes but is not limited to formation flying, coordinated attack, defensive maneuvering, etc., so that pilots can train in a more realistic environment, thereby improving their tactical quality and coping capabilities. In actual missions, pilots often need to work closely with other crew members or ground commanders. The present invention simulates a real team collaboration environment, allowing pilots to exercise their communication and collaboration skills in training, thereby improving the combat effectiveness of the entire crew. BRIEF DESCRIPTION OF THE DRAWINGS
[0041] In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings required for use in the embodiments or the description of the prior art will be briefly introduced below. Obviously, the drawings described below are only some embodiments of the present invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying creative work.
[0042] Figure 1 This is a principle block diagram of the present invention. DETAILED DESCRIPTION
[0043] The technical solution of the present invention will be clearly and completely described below in conjunction with the embodiments. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.
[0044] like Figure 1 As shown, a tactical flight simulation training system includes a docking module, a training module, and a flight optimization module;
[0045] The docking module is used to perform docking adjustment on each flight simulator, including a connection unit, a modular flight unit and an integrated unit. The modular flight unit is set according to the corresponding flight simulator, specifically established by the platform party, and is used to collect flight simulation data of the flight simulator in real time and receive associated scene data, and dynamically adjust the scene of the corresponding flight simulator according to the associated scene data. The flight simulation data includes operation data corresponding to the user's flight simulation operation, aircraft operation results generated by the operation data, voice feedback, instructions, evaluation results of the flight simulator and other related data; the scene can be adjusted according to the associated scene data, so that the user display interface can display the aircraft status of other users in real time;
[0046] The connection unit is used to connect with the integrated unit and each modular flight unit, receive the flight simulation data of each modular flight unit, determine the corresponding associated modular units for each modular flight unit, that is, the modular units of other users in the same tactical training, and mark them as associated units; process the flight simulation data of each associated unit to obtain associated scene data; process the flight simulation data according to the actual situation of the flight simulator, so that the flight simulation data of each associated unit can be identified and applied; the platform party is specifically set according to the existing data processing technology, and has a built-in data processing method that adapts to a variety of flight simulators;
[0047] Connecting each modular flight unit with the connection unit means performing corresponding communication, interface and other connections, but this is not equal to connectivity. It is necessary to connect the modular flight units according to the actual tactical mission applications. Generally, it is done manually according to the flight simulators required for the tactical mission to determine the modular flight units that need to be connected, and then perform corresponding connectivity. The connection unit can also intelligently identify the tactical mission and then perform intelligent connectivity.
[0048] The integrated unit is used to perform integrated simulation display, obtain integrated display images, and connect with the connection unit; it is generated by using various flight simulation data, or directly corresponding to the corresponding flight simulator through the simulation application unit to achieve the acquisition of the corresponding simulation scene and form an integrated display image, that is, the integrated display image is the same as the display in the flight simulator, but the perspectives of different pilots and the global perspective can be obtained.
[0049] Identify tactical tasks, connect each modular flight unit according to the tactical tasks, mark each connected modular flight unit as a simulation application unit, and other unconnected modular flight units will not work, but their corresponding flight simulators can run the simulation normally;
[0050] The flight simulation data of the corresponding flight simulator is obtained in real time through the simulation application unit, the associated units of each simulation application unit are determined through the connection unit, each flight simulation data is processed according to each associated unit, the associated scene data of each simulation application unit is obtained, and each associated scene data is sent to the corresponding simulation application unit, which dynamically adjusts the scene of the corresponding flight simulator according to the associated scene data.
[0051] The integrated display image is displayed in real time through the integrated unit; the operation data of each pilot can be displayed through the integrated display image.
[0052] In one embodiment, according to the working mode of the connection unit and each modular flight unit, each flight simulator can be set to be in the same space, such as a building space; or each flight simulator can be set to be in different spaces, that is, unified training is achieved through data transmission, and a comprehensive display image is formed. At the same time, tactical confrontation training of different groups can be achieved.
[0053] In one embodiment, the method for the modular flight unit to dynamically adjust the scene of the flight simulator according to the associated scene data is: adjusting based on the existing technology.
[0054] In one embodiment, the method for the modular flight unit to dynamically adjust the scene of the flight simulator according to the associated scene data is:
[0055] Because the flight simulators used by general users in actual applications are the same, the scene images displayed according to tactical tasks can be considered the same, such as the size, position, color tone and other aspects of the same scene are displayed the same, and there will be no detail differences due to differences in flight simulators, such as clouds in one scene and no clouds in another scene; the perspective scene corresponding to this flight simulator is marked as the reference scene, that is, each flight simulator will be different from the pilot's reference scene due to the perspective; determine the aircraft information corresponding to each associated unit, such as aircraft model, initial position and other related data; generate each aircraft model in the reference scene according to the aircraft information, and generate it using existing technology and flight simulator configuration technology;
[0056] Obtain associated scene data, and make real-time adjustments to each aircraft based on the associated scene data, such as movement and position adjustments. It is best to simulate and adjust the corresponding aircraft based on the simulation principle of the flight simulator and the corresponding control parameters.
[0057] In one embodiment, if the reference scenes of each flight simulator are different due to reasons such as the model, corresponding corrections need to be made, and the scenes of each flight simulator under the corresponding tactical task are identified and marked as initial scenes. Each initial scene is adjusted and analyzed to determine the various adjustment methods. For example, if there are two different initial scenes, one initial scene corresponds to 4 flight simulators, and the other initial scene corresponds to 1 flight simulator. The difference between the two initial scenes is that the clouds are different. Therefore, what are the adjustment methods for adjusting the two initial scenes to be the same? Simulate and evaluate each adjustment method, that is, simulate the scene changes according to the tactical task, and then adjust and evaluate each adjustment method to determine the adjustment time corresponding to each adjustment method, with the maximum adjustment time corresponding to the possible scene as the standard; and the adjusted initial scene corresponding to each adjustment method, evaluate the corresponding scene difference rate according to the difference between the initial scene and the actual situation. The more similar it is to the actual scene, the lower the scene difference rate. Use existing similarity algorithms, artificial intelligence and other technologies to perform intelligent evaluation to determine the adjustment time and scene difference rate corresponding to each adjustment method.
[0058] According to the formula Calculate the priority value of the corresponding adjustment method;
[0059] Where: QY is the priority value; e is a natural constant; T is the adjustment time; y(T) is the judgment function, , X1 is the threshold, which is set according to user requirements. That is, when the adjustment duration exceeds the threshold X1, it will exceed the impact standard of tactical simulation and will be directly eliminated; η is the scene difference rate;
[0060] The reserve adjustment method is set according to the adjustment method with the largest priority value, that is, the reserve adjustment method is set according to the adjustment principle of the above adjustment method, such as always adjusting based on a certain flight simulator; subsequently, each initial scene is adjusted in real time according to the reserve adjustment method to obtain the benchmark scene of each flight simulator.
[0061] The training module is used to carry out tactical mission training and set tactical missions, which include relevant data such as various tactical nodes and tactical requirements; the flight personnel of each flight simulator carry out tactical training according to the tactical mission; this step can be directly connected to each flight simulator, or can be directly informed to each flight personnel, and the flight personnel adjust the flight simulator according to the tactical mission and then carry out training; real-time identification of the comprehensive display image and the flight simulation data of each flight personnel; training evaluation is carried out according to each flight simulation data and the comprehensive display image to obtain the training result of the tactical mission.
[0062] In one embodiment, training evaluation is performed based on various flight simulation data and integrated display images. The evaluation can be performed based on existing technologies. For example, if a flight simulator has a corresponding evaluation function, tactical evaluation can be performed directly.
[0063] In one embodiment, the method for performing training evaluation based on the flight simulation data and the integrated display image includes:
[0064] Classify each flight simulation data according to scenario conditions, execution process and execution results to form evaluation material data for each flight crew. Scenario conditions include the preconditions for flight crews to train according to tactical tasks, such as command instructions, environmental conditions and other related data. The execution process is the relevant data of the flight crew's operations; the execution result is the result data generated after the flight crew's execution. Specifically, the platform presets the corresponding classification method for classification, and the classification method can be adjusted according to user requirements.
[0065] The data of each evaluation material are analyzed according to the training standards to obtain the evaluation results corresponding to each evaluation material data, and the evaluation results are summarized to form the personnel evaluation results of each flight crew member and the comprehensive evaluation results of the tactical task, and the personnel evaluation results and the comprehensive evaluation results are integrated into the training results.
[0066] In one embodiment, each evaluation material data is analyzed according to the training standard to determine whether it meets the training standard, and the degree of completion can be further refined and set based on the existing evaluation method and user evaluation requirements.
[0067] In one embodiment, the evaluation results are summarized and statistically summarized based on existing technologies to form personnel evaluation results of each flight crew member and training results of tactical tasks. Corresponding summary standards can also be set according to user needs, such as presetting weights corresponding to different nodes, and subsequently conducting a comprehensive evaluation of the degree of completion to determine the training results.
[0068] The flight optimization module is used to optimize and evaluate the flight simulators corresponding to each modular flight unit to determine whether each flight simulator needs to be replaced or adjusted;
[0069] When the assessment requires replacement and adjustment, the corresponding flight simulator is replaced according to the assessment result, and a modular flight unit of the replaced flight simulator is set, and the modular flight unit is connected to the connection unit;
[0070] When the assessment does not require replacement adjustment, no replacement operation is performed.
[0071] In one embodiment, if the problem can be solved by upgrading the flight simulator system, the system may not be replaced but may be optimized by optimizing and upgrading.
[0072] In one embodiment, the flight simulators corresponding to the modular flight units are optimized and evaluated, and it can be determined based on existing technologies whether each flight simulator needs to be replaced or adjusted.
[0073] For example, collect material data related to the evaluation target from reliable sources. The evaluation target is the specific purpose or expected result to be achieved, such as fidelity, stability, failure rate, etc.; the material data should include input features (such as performance parameters of the flight simulator, environmental conditions, etc.) and target variables (such as simulation effect score, failure rate, etc.).
[0074] Check the source data and process missing values, outliers, duplicate values, etc. to ensure the integrity and accuracy of the data. Normalize or standardize the input features to eliminate the impact of dimensional differences on model training. Common normalization methods include minimum-maximum normalization and Z-score standardization. Divide the source data set into training set, validation set, and test set. The training set is used for model training, the validation set is used for model selection (such as hyperparameter tuning), and the test set is used for final performance evaluation.
[0075] Choose the appropriate neural network type according to the characteristics of the evaluation task, such as multi-layer perceptron (MLP), convolutional neural network (CNN), recurrent neural network (RNN), etc. Design a reasonable number of network layers and the number of neurons in each layer according to the complexity of the problem and the size of the data. A network that is too deep may lead to overfitting, while a network that is too shallow may not be able to fully learn the characteristics of the data. Select an activation function, which is used to introduce nonlinear factors so that the neural network can approximate complex functional relationships. Common activation functions include ReLU, Sigmoid, Tanh, etc.
[0076] Design the output layer according to the evaluation goal. For example, the output layer of a regression problem is usually a neuron, while the output layer of a classification problem may be multiple neurons (corresponding to different categories). Select a suitable loss function according to the evaluation goal, such as mean square error (MSE) for regression problems and cross entropy loss for classification problems. Select an optimization algorithm. Common optimization algorithms include stochastic gradient descent (SGD), Adam, RMSprop, etc. Select a suitable optimization algorithm and its parameters according to the characteristics of the data and model. Use the training set data to train the neural network model, and iteratively update the network weights to gradually reduce the loss function value. Use the validation set data to tune the model, such as adjusting the learning rate, network structure, regularization parameters, etc. Further verify the generalization ability of the model through methods such as cross-validation. Select suitable evaluation indicators according to the evaluation goal, such as accuracy, recall, F1 score, mean square error (MSE), etc.
[0077] Use the test set data to test the trained neural network model; calculate and compare the values of different evaluation indicators to evaluate the performance of the model. Interpreting the model, such as analyzing feature importance and visualizing the model decision boundary, helps to understand the decision-making process of the model and find potential improvement directions. Mark the trained neural network model as an optimized evaluation model and deploy it to the actual application scenario.
[0078] Through the optimization evaluation model, it is determined whether each flight simulator needs to be replaced or adjusted.
[0079] In one embodiment, the method for optimizing and evaluating the flight simulator corresponding to each modular flight unit includes:
[0080] Acquire the user's tactical tasks in real time to form the user's tactical training needs. With the changes in time, technology, aircraft models, etc., the user's tactical training needs will not remain unchanged; and the user can set the demand proportion of each tactical training demand;
[0081] According to the tactical training requirements, each flight simulator is evaluated to determine whether the flight simulator can meet the corresponding tactical training requirements. Specifically, a tactical requirement evaluation model can be established. The expression of the tactical requirement evaluation model is: , where: (s, pi) is the input data, s is the flight simulator information, including data related to whether the tactical training requirements are met; pi represents the tactical training requirements, i=1, 2, ..., n, n is the number of tactical training requirements, i represents the serial number subscript of the tactical training requirements, if there are two tactical training requirements, then p1 and p2 represent the above tactical training requirements respectively; s→pi means that the flight simulator information meets the tactical training requirements; the output data is the tactical requirement value XP(s, pi), and the tactical requirement value is 1 or 0;
[0082] Analyze each flight simulator and tactical training requirement through the tactical requirement assessment model to obtain the tactical requirement value of each flight simulator for each tactical training requirement;
[0083] According to the formula Calculate the continuous application demand value of the corresponding flight simulator;
[0084] Where: PU is the continuous application demand value; e is a natural constant; βi is the demand proportion, i=1, 2, ..., n, XP(s, pi) is the tactical demand value;
[0085] A flight simulator whose continuous application demand value is less than the threshold value X2 is regarded as a flight simulator that needs to be optimized and adjusted, and is marked as a simulator to be optimized;
[0086] Subsequently, an analysis is conducted based on various flight simulators currently on the market to determine flight simulators that meet the requirements, that is, flight simulators whose continuous application demand value is not less than the threshold value X2, and these are displayed to the user, who then determines which flight simulator to replace.
[0087] The above formulas are all calculated by removing dimensions and taking numerical values. The formula is a formula that is closest to the actual situation obtained by collecting a large amount of data and performing software simulation. The preset parameters and preset thresholds in the formula are set by technical personnel in this field according to actual conditions or obtained by simulating a large amount of data.
[0088] The above embodiments are only used to illustrate the technical method of the present invention rather than to limit it. Although the present invention has been described in detail with reference to the preferred embodiments, those skilled in the art should understand that the technical method of the present invention may be modified or replaced by equivalents without departing from the spirit and scope of the technical method of the present invention.
Claims
1. A tactical flight simulation training system, characterized in that: Includes docking module and training module; The docking module is used to perform docking adjustment on each flight simulator, and includes a connection unit, a modular flight unit and an integrated unit. The modular flight unit is used to collect flight simulation data of the flight simulator in real time and receive associated scene data, and dynamically adjust the scene of the flight simulator according to the associated scene data; the connection unit is used to connect with the integrated unit and each modular flight unit, and receive the flight simulation data of each modular flight unit; the integrated unit is used to perform integrated simulation display and obtain an integrated display image; The connection unit connects the modular flight units according to a preset tactical task, and marks the connected modular flight units as simulation application units; Acquire the flight simulation data of the flight simulator in real time through the simulation application unit, determine the associated units of each simulation application unit through the connection unit, process each flight simulation data according to each associated unit, obtain the associated scene data of each simulation application unit, send each associated scene data to the corresponding simulation application unit, and the simulation application unit dynamically adjusts the scene of the flight simulator according to the associated scene data; and displaying the integrated display image in real time through the integrated unit; The training module is used to perform tactical mission training, set tactical missions, and the flight personnel of each flight simulator perform tactical training according to the tactical missions; Real-time identification of the integrated display image and the flight simulation data of each flight crew member; performing training evaluation based on each flight simulation data and the integrated display image to obtain the training result of the tactical task; The method for the modular flight unit to dynamically adjust the scene of the flight simulator according to the associated scene data is as follows: Determine a reference scene for each flight simulator, obtain aircraft information of each associated unit of each flight simulator, and generate each aircraft model in the reference scene according to each aircraft information; Acquire associated scene data, and adjust each of the aircraft models in real time according to the associated scene data; The method for determining the baseline scenario includes: When the initial scenes of the flight simulators are the same, determining the reference scenes of the flight simulators according to the initial scenes; The method for determining the baseline scenario includes: When the initial scenes of the flight simulators are not all the same, identifying the initial scenes of the flight simulators, performing adjustment analysis on the initial scenes, and determining the various adjustment methods; performing adjustment evaluation according to the adjustment methods, and determining the adjustment duration and scene difference rate corresponding to the adjustment methods; According to the formula Calculate the priority value of the corresponding adjustment method; Where: QY is the priority value; e is the natural constant; T is the adjustment time; y(T) is the judgment function, , X1 is the threshold; η is the scene difference rate; A reserve adjustment method is set according to the adjustment method with the largest priority value, and each initial scene is adjusted in real time according to the reserve adjustment method to obtain a reference scene of each flight simulator.
2. A tactical flight simulation training system according to claim 1, characterized in that: The comprehensive display image includes the personal perspective image corresponding to each flight crew member and the global perspective image.
3. A tactical flight simulation training system according to claim 1, characterized in that: The flight simulators are not located in the same building space.
4. A tactical flight simulation training system according to claim 1, characterized in that: Each flight simulator is located in the same building space.
5. A tactical flight simulation training system according to claim 1, characterized in that: The method of conducting training evaluation based on various flight simulation data and integrated display images includes: Classify each flight simulation data according to scenario conditions, execution process and execution results to form evaluation material data for each flight crew; The evaluation material data are analyzed according to preset training standards to obtain evaluation results corresponding to the evaluation material data, and the evaluation results are summarized to form personnel evaluation results of each flight crew member and comprehensive evaluation results of the tactical task, and the personnel evaluation results and comprehensive evaluation results are integrated into training results.
6. A tactical flight simulation training system according to claim 1, characterized in that: It also includes a flight optimization module, which is used to optimize and evaluate the flight simulators corresponding to each modular flight unit to determine whether each flight simulator needs to be replaced or adjusted; When it is assessed that replacement and adjustment are required, the flight simulator that needs replacement and adjustment is replaced, and a modular flight unit of the flight simulator is set, and the modular flight unit is connected to the connection unit; When the assessment does not require replacement adjustment, no replacement operation is performed.
7. A tactical flight simulation training system according to claim 6, characterized in that: The method for optimizing and evaluating the flight simulator corresponding to each modular flight unit includes: Acquire various tactical training requirements in real time and set the demand proportion of each tactical training requirement; A tactical demand assessment model is established, and the expression of the tactical demand assessment model is: ; Where: (s, pi) is the input data, s is the flight simulator information; pi represents the tactical training requirement, i=1, 2, ..., n, n is the number of tactical training requirements, i represents the serial number subscript of the tactical training requirement; s→pi represents that the flight simulator information meets the tactical training requirement; the output data is the tactical requirement value XP(s, pi), and the tactical requirement value is 1 or 0; Analyze each flight simulator and tactical training requirement through the tactical requirement assessment model to obtain the tactical requirement value of each flight simulator for each tactical training requirement; According to the formula Calculate the continuous application demand value of each flight simulator; Where: PU is the continuous application demand value; e is a natural constant; βi is the demand proportion, i=1, 2, ..., n, XP(s, pi) is the tactical demand value; Whether each of the flight simulators needs to be replaced and adjusted is determined according to each of the continuous application demand values.
Citation Information
Patent Citations
Virtual-real combined immersive driving simulation training simulation system
CN116580619A
Day-ahead wind-solar power generation power scene generation method, virtual device and computer readable medium
CN117060374A