Method and device for determining pilot stress state and electronic equipment

Abstract

Embodiments of the invention provide a pilot stress state determination method and apparatus, and an electronic device. The determination method comprises the steps of constructing a stress state test model; running the test model, and simulating the occurrence of at least one abnormal event in the plurality of flight scenes in response to the operation of the pilot; in the occurrence process of each abnormal event in each flight scene, measuring indexes of the pilot are obtained, and the measuring indexes comprise objective data of the pilot in each abnormal event collected based on sensing equipment and subjective evaluation data of the pilot after stress state training; adjusting the test model according to the obtained measurement index until the test model is stable; determining the stress state of the pilot by using the stable test model; the method can induce the pilot to have a stress state in a ground simulation environment, and provides data support for evaluating the stress level of the pilot in a real flight environment.

Description

Technical Field

[0001] The embodiments of the present application relate to the field of pilot training, and more particularly to a method, device and electronic equipment for determining a pilot's stress state. Background Art

[0002] During the flight, pilots may face unexpected events or special flight situations, which may put them under higher pressure and tension, and may also cause them to be in a state of stress.

[0003] Stress is an emotional state caused by physiological and psychological changes caused by dangerous or unexpected changes in the external environment. It has four characteristics: suddenness, high threat, unpredictability and uncontrollability. In the event of a crisis or unexpected situation, pilots may have positive or negative reactions. Moderate stress will stimulate the cerebral cortex and improve attention, while excessive stress will lead to a weakening of the pilot's attention and behavioral response ability, increased heart rate, muscle contraction and other physiological reactions, affecting the pilot's control and even flight safety. Therefore, the study of pilots' stress state is of great significance. It can enhance their ability to regulate stress state, so that they can complete the correct handling in time when encountering air dangers, special situations and other unexpected situations, thereby ensuring flight safety and improving mission performance. It is of great significance to adapt to special mission scenarios and future modern warfare.

[0004] In summary, it is crucial to be able to accurately determine the pilot's stress state in advance. Summary of the invention

[0005] The embodiments of the present application provide a method, device and electronic equipment for determining a pilot's stress state, which can induce a pilot's stress state in a ground simulation environment and provide data support for evaluating the pilot's stress level in a real flight environment.

[0006] In order to achieve the above purpose, the embodiment of the present application adopts the following technical solution: In a first aspect, the present application embodiment provides a method for determining a pilot's stress state, comprising: constructing a test model for a stress state; the test model is used to simulate the occurrence of at least one abnormal event in multiple flight scenarios, and to determine the pilot's stress state in each abnormal event; the multiple flight scenarios include takeoff, cruising, and landing; each of the multiple flight scenarios includes multiple test variables, and the test variables are used to affect the pilot's stress state; running the test model, in response to the pilot's operation, simulating the occurrence of at least one abnormal event in the multiple flight scenarios; in each flight scenario, during the occurrence of each abnormal event, obtaining the pilot's measurement indicators, the measurement indicators including objective data of the pilot in each abnormal event collected by a sensor device, and subjective evaluation data of the pilot after stress state training; adjusting the test model according to the obtained measurement indicators until the test model is stable; and determining the pilot's stress state using the stable test model.

[0007] In a possible implementation, the construction of the stress state test model includes: determining multiple flight scenarios and flight tasks in each flight scenario; determining multiple test variables; and constructing the test model based on the multiple tasks and the multiple test variables.

[0008] In another possible implementation, the multiple test variables include at least two of engine abnormality, foreign object impact, communication failure, abnormal weather, abnormal mission, and abnormal physiological characteristics.

[0009] In another possible implementation, the above-mentioned simulation of the occurrence of at least one abnormal event in multiple flight scenarios includes: simulating the occurrence of one abnormal event in each flight scenario, and simulating the occurrence of at least two abnormal events in each flight scenario.

[0010] In another possible implementation, objective data is used to characterize the accuracy with which the pilot completes the corresponding task.

[0011] In another possible implementation, the objective data includes at least one of a flight altitude, a flight speed, and a flight trajectory.

[0012] In a second aspect, an embodiment of the present application provides a device for determining a pilot's stress state, the device comprising: A model building module is used to build a stress state test model; the test model is used to simulate at least one abnormal event in multiple flight scenarios, and determine the stress state of the pilot in each abnormal event; the multiple flight scenarios include takeoff, cruising and landing; each of the multiple flight scenarios includes multiple test variables, and the test variables are used to affect the stress state of the pilot; A model running module, used to run the test model, respond to the pilot's operation, and simulate the occurrence of at least one abnormal event in multiple flight scenarios; An indicator collection module is used to obtain the pilot's measurement indicators during each abnormal event in each flight scenario. The measurement indicators include the pilot's objective data in each abnormal event collected by the sensor equipment, as well as the pilot's subjective evaluation data after stress state training; The model adjustment module is used to adjust the test model according to the obtained measurement indicators until the test model is stable; The model operation module is also used to determine the pilot's stress state using a stable test model.

[0013] In a possible implementation, the above model building module is specifically used to: Determine multiple flight scenarios and the flight tasks in each flight scenario; Identify multiple experimental variables; Build and test models based on multiple tasks and multiple experimental variables.

[0014] In another possible implementation, the multiple test variables include at least two of engine abnormality, foreign object impact, communication failure, abnormal weather, abnormal mission, and abnormal physiological characteristics.

[0015] In another possible implementation, the model running module is specifically used to: The occurrence of one abnormal event in each flight scenario and the occurrence of at least two abnormal events in each flight scenario were simulated.

[0016] In another possible implementation, objective data is used to characterize the accuracy with which the pilot completes the corresponding task.

[0017] In another possible implementation, the objective data includes at least one of a flight altitude, a flight speed, and a flight trajectory.

[0018] In a third aspect, an embodiment of the present application provides an electronic device, characterized in that the electronic device includes a processor and a memory, the memory stores computer instructions, the processor is used to execute the computer instructions stored in the memory, and when the computer instructions are executed by the processor, the electronic device implements the method for determining the pilot stress state as described in the first aspect above and any one of its possible implementation methods.

[0019] In a fourth aspect, an embodiment of the present application provides a computer-readable storage medium, characterized in that computer execution instructions are stored on the computer-readable storage medium, and when the computer execution instructions are executed, a method for determining a pilot's stress state as described in any one of the above-mentioned first aspect and its possible implementation methods is implemented.

[0020] In a fifth aspect, an embodiment of the present application provides a computer program product, which includes program instructions. When the program instructions are run on a computer, they are used to execute the method for determining the pilot stress state described in the first aspect and any one of its possible implementation methods.

[0021] It should be understood that the beneficial effects achieved by the technical solutions of the second to fifth aspects of the embodiments of the present application and the corresponding possible implementation methods can be referred to the technical effects of the first aspect and its corresponding possible implementation methods mentioned above, and will not be repeated here. BRIEF DESCRIPTION OF THE DRAWINGS

[0022] Figure 1 A flowchart of a method for determining a pilot's stress state provided in an embodiment of the present application; Figure 2 A schematic diagram of the structure of a device for determining a pilot's stress state provided in an embodiment of the present application; Figure 3 A schematic diagram of the structure of an electronic device provided in an embodiment of the present application. DETAILED DESCRIPTION

[0023] The term "and / or" in this article is merely a description of the association relationship of associated objects, indicating that three relationships may exist. For example, A and / or B can mean: A exists alone, A and B exist at the same time, and B exists alone.

[0024] In the embodiments of the present application, words such as "exemplary" or "for example" are used to indicate examples, illustrations or descriptions. Any embodiment or design described as "exemplary" or "for example" in the embodiments of the present application should not be interpreted as being more preferred or more advantageous than other embodiments or designs. Specifically, the use of words such as "exemplary" or "for example" is intended to present related concepts in a specific way.

[0025] In the description of the embodiments of the present application, unless otherwise specified, the meaning of "multiple" refers to two or more than two. For example, multiple processing units refer to two or more processing units; multiple systems refer to two or more systems.

[0026] Stress is an emotional state caused by physiological and psychological changes caused by dangerous or unexpected changes in the external environment. It has four characteristics: suddenness, high threat, unpredictability and uncontrollability. In the event of a crisis or unexpected situation, pilots may have positive or negative reactions. Moderate stress will stimulate the cerebral cortex and improve attention, while excessive stress will lead to a weakening of the pilot's attention and behavioral response ability, increased heart rate, muscle contraction and other physiological reactions, affecting the pilot's control and even flight safety. Therefore, the study of pilots' stress state is of great significance. It can enhance their ability to regulate stress state, so that they can complete the correct handling in time when encountering air dangers, special situations and other unexpected situations, thereby ensuring flight safety and improving mission performance. It is of great significance to adapt to special mission scenarios and future modern warfare.

[0027] In order to provide better technical support during actual flight and avoid abnormal situations, it is crucial to accurately determine the stress state of each pilot in the ground environment.

[0028] To this end, the embodiment of the present application provides a method for determining the stress state of a pilot. A test model of the stress state is constructed based on multiple flight scenarios and test variables, and the test model is run to simulate the mission scenario for the pilot (i.e., the pilot) and induce different stress states of the pilot. Under different stress states, measurement indicators including objective data and subjective evaluation data are obtained, and the test model is adjusted according to the measurement indicators until the test model is stable. In this way, the stress state of the pilot can be determined using the stable test model. The test model in the embodiment of the present application is determined based on the flight scenario, test variables, objective data, and subjective evaluation data. Therefore, the determined stress state is relatively accurate and has a wide range of applicable scenarios.

[0029] The method for determining the pilot stress state provided in the embodiment of the present application is applicable to electronic equipment in low-altitude scenes. The electronic equipment may be a computer or a computer cluster, which is not specifically limited in the embodiment of the present application.

[0030] In a first possible scenario, the electronic device is a computer, and the computer may include a memory and a processor, and the memory and the processor are connected via at least one communication interface.

[0031] The computer includes a memory that can store the test model. The memory can be a cache, a solid state drive (SSD), a hard disk drive (HDD), a storage class memory (SCM), a memory, or other storage media.

[0032] Exemplarily, storage particles storing a specific number of bits include: single level cell (SLC), double level cell (MLC), triple level cell (TLC) or quad level cell (QLC).

[0033] The test model may be a neural network model or other artificial intelligence (AI) model, and the embodiments of the present application do not specifically limit this.

[0034] The processor included in the computer implements the training of the measurement model stored in the memory according to the received measurement index. The processor may include one or more processor cores. The processor may be a very large-scale integrated circuit. An operating system and other software programs are installed in the processor, so that the processor can access the memory and various peripheral component interconnect (Peripheral Component Interconnect Express, PCIe) devices. It can be understood that in this embodiment, the processor core in the processor may be a central processing unit (Central Processing Unit, CPU) or other specific integrated circuits (Application Specific Integrated Circuit, ASIC). The processor may also be other general-purpose processors, digital signal processors (Digital Signal Processing, DSP), application-specific integrated circuits (Application-specific Integrated Circuit, ASIC), field programmable gate arrays (Field Programmable Gate Array, FPGA), graphics processors (Graphics Processing Unit, GPU), AI chips, systems on chip (System-on-a-chip, SoC) or other programmable logic devices, discrete gates or transistor logic devices, discrete hardware components, etc. In practical applications, the processing device 110 may also include multiple processors.

[0035] In a second possible scenario, the electronic device is a computer cluster. The computer cluster refers to a collection of computers connected via a local area network or the Internet. Exemplarily, the computer cluster may have a rack, and the rack may establish communication for multiple computers included in the computer cluster via a wired connection, such as a Universal Serial Bus (USB) or a PCIe high-speed bus.

[0036] Computer clusters are typically used to execute large tasks (also referred to as jobs), where jobs are typically large jobs that require more resources to be processed in parallel. The embodiments of the present application do not limit the nature and quantity of jobs. A job may contain multiple computing tasks generated during the model training process, and these computing tasks can be assigned to multiple computing resources for execution. Most tasks are executed concurrently or in parallel, while some tasks need to rely on data generated by other tasks. Each computer in a computer cluster uses the same hardware and the same operating system; different hardware and different operating systems can also be used in the computers in the computer cluster according to business needs.

[0037] One or more virtual machines can run in a computer cluster. A virtual machine is a virtual device obtained by virtualizing physical computing resources, storage resources, and network resources through virtualization technology. In one possible example, one or more virtual machines (VMs) run on a computer, such as two VMs running on a computer. In another possible example, a VM runs on multiple computers, such as a VM using the processing resources of computer A and the storage resources of computer B.

[0038] It is worth noting that the above electronic device can refer to a single computing device with model training capabilities, such as a desktop, laptop, mobile phone or tablet computer.

[0039] In combination with the above description, the method for determining the pilot stress state provided in the embodiment of the present application is described below.

[0040] like Figure 1 As shown, an embodiment of the present application provides a method for determining a pilot's stress state, the method comprising: S100. Construct a test model of stress state.

[0041] The stress state test model is used to simulate the occurrence of at least one abnormal event in multiple flight scenarios and determine the stress state of the pilot in each abnormal event.

[0042] Specifically, the method for constructing a test model of a stress state may be: determining a plurality of flight scenarios; determining a plurality of test variables; and constructing a test model according to the plurality of flight scenarios and the plurality of test variables.

[0043] The plurality of flight scenarios include take-off, cruising and landing. Each of the plurality of flight scenarios includes a plurality of test variables, and the test variables are used to influence the stress state of the pilot.

[0044] It is understandable that situations that may cause pilots to experience stress during flight include unexpected events that may occur during flight, such as engine shutdown, foreign object collision, communication failure, etc.; they also include flights under special circumstances, such as flying under complex weather conditions at night, ship-based landing, etc.; they may also include other special circumstances, such as air missions (such as combat). In addition, the pilot's own physiological and psychological state may also cause him to be in a state of stress.

[0045] In summary, the multiple test variables in the embodiments of the present application include at least two of engine abnormality, foreign object impact, communication failure, abnormal weather, abnormal mission, and abnormal physiological characteristics.

[0046] S101: Run a test model to simulate the occurrence of at least one abnormal event in multiple flight scenarios in response to a pilot's operation.

[0047] After the test model is constructed, it is run to preliminarily determine the stress state of the pilot in each flight scenario, that is, to determine the stress state of the pilot in the ground scenario.

[0048] When simulating each flight scenario, the pilot is required to give corresponding responses, such as controlling the steering wheel, clicking the attack button, changing the route, etc. After receiving the pilot's operation, the corresponding task is executed in response to the pilot's operation.

[0049] Specifically, the occurrence of one abnormal event in each flight scenario and the occurrence of at least two abnormal events in each flight scenario are simulated.

[0050] For example: adding one or more abnormal events such as single engine failure, aileron jam, elevator jam, rudder jam, etc. to the three scenarios of takeoff, cruising, and landing.

[0051] Optionally, in the three scenarios of takeoff, cruising and landing, separate occurrence and continuous occurrence are set. The separate occurrence means that during the normal operation of the basic scenario, an abnormal event occurs without warning to the pilot; the continuous occurrence means that during the normal operation of the basic scenario, at least two abnormal events occur successively without warning to the pilot; this is more conducive to inducing a stress state for the pilot.

[0052] For example, first, the basic flight missions in the take-off, cruise and landing scenarios are simulated; secondly, an abnormal event is added to each of the take-off, cruise and landing scenarios in the simulation (such as adding a left engine failure and maintaining it in the take-off scenario, adding a rudder jamming fault in the cruise scenario, and triggering a left engine failure in the landing scenario); after that, multiple abnormal events are added to each of the take-off, cruise and landing scenarios in the simulation (such as triggering a failure fault and an instrument failure at night in the landing scenario, requiring the pilot to perform a visual landing in a poor visibility environment).

[0053] S102. Acquire the pilot's measurement indicators during each abnormal event in each flight scenario.

[0054] The measurement indicators include objective data of pilots in each abnormal event collected by sensor equipment, as well as subjective evaluation data of pilots after stress training.

[0055] Objective data is used to characterize the accuracy with which pilots complete corresponding tasks.

[0056] The objective data includes at least one of a flight altitude, a flight speed, a flight trajectory, and a joystick offset index.

[0057] The subjective evaluation data of pilots after stress training can be represented by a self-made scale.

[0058] S103: Adjust the test model according to the obtained measurement indicators until the test model is stable.

[0059] After obtaining the measurement indicators, the test model can be adjusted according to the obtained measurement indicators until the test model is stable (which can also be understood as until the test model converges). In this way, the stress state determined by the test model will be more accurate.

[0060] S104. Determine the pilot's stress state using a stable test model.

[0061] In summary, in the method for determining the stress state provided in the embodiment of the present application, a test model of the stress state is constructed based on a variety of flight scenarios and test variables, and the test model is run to simulate a variety of flight scenarios for the pilot, inducing different stress states of the pilot. Under different stress states, measurement indicators including objective data and subjective evaluation data are obtained, and the test model is adjusted according to the measurement indicators until the test model is stable. In this way, the pilot's stress state can be determined using a stable test model. The test model in the embodiment of the present application is determined based on a comprehensive combination of flight scenarios, test variables, objective data and subjective evaluation data. Therefore, the determined stress state is relatively accurate and has a wider range of applicable scenarios.

[0062] In addition, this determination method can also induce different stress states of pilots using a test model in a ground environment, providing technical support for the subsequent evaluation of pilot stress states in actual flights.

[0063] In order to understand the impact of measurement indicators on the test model, facial expressions are mainly used as an example to illustrate.

[0064] Exemplarily, a facial expression sensor is used to collect data of pilots in scenarios with and without stress induction. After the sensor recognizes the face through an AdaBoost model based on Haar eigenvalues, a trained multi-task convolutional neural network is used to perform feature extraction and feature classification of the face image.

[0065] Referring to the following experimental data, it can be seen that compared with the scenarios without stress induction, the pilots' eyebrow drooping intensity index, eyebrow drooping frequency index, upper eyelid raising intensity index, mouth corner drooping frequency index and facial features related to negative emotional expression in the scenarios with stress induction all showed an upward trend, and the differences were significant.

[0066] The results of the eyebrow ptosis intensity index are shown in Table 1.

[0067] Table 1 The significance of the eyebrow ptosis intensity index is shown in Table 2.

[0068] Table 2 Note: **** - P<0.0001, where * is used to distinguish whether it is significant or not, for example: ** represents significant, *** represents extremely significant.

[0069] The results of the eyebrow ptosis frequency index are shown in Table 3.

[0070] Table 3 The significance of the eyebrow ptosis frequency index is shown in Table 4.

[0071] Table 4 Note: **** - P<0.0001 The results of the upper eyelid lifting intensity index are shown in Table 5.

[0072] Table 5 The significance of the upper eyelid lifting intensity index is shown in Table 6.

[0073] Table 6 Note: ** - P<0.01 The results of the frequency index of mouth corner droop are shown in Table 7.

[0074] Table 7 The significance of the frequency index of mouth corner drooping is shown in Table 8.

[0075] Table 8 Note: **** - P<0.0001 like Figure 2 As shown, another embodiment of the present application provides a device for determining a stress state, which includes: a model building module 301, a model running module 302, an indicator collection module 303 and a model adjustment module 304.

[0076] The model building module 301 is used to build a test model of stress state; the test model of stress state is used to simulate at least one abnormal event in multiple flight scenarios, and determine the stress state of the pilot in each abnormal event; the multiple flight scenarios include take-off, cruising and landing; each flight scenario in the multiple flight scenarios includes multiple test variables, and the test variables are used to affect the stress state of the pilot.

[0077] The model running module 302 is used to run the test model and simulate the occurrence of at least one abnormal event in multiple flight scenarios in response to the pilot's operation.

[0078] The indicator collection module 303 is used to obtain the pilot's measurement indicators during each abnormal event in each flight scenario. The measurement indicators include the pilot's objective data in each abnormal event collected by the sensor equipment and the pilot's subjective evaluation data after stress state training.

[0079] The model adjustment module 304 is used to adjust the test model according to the acquired measurement indicators until the test model is stable.

[0080] The model running module 302 is further used to determine the stress state of the pilot using the stable test model.

[0081] Optionally, the model building module 301 is specifically used for: Identify multiple flight scenarios; Identify multiple experimental variables; Build test models based on multiple flight scenarios and multiple test variables.

[0082] Optionally, the multiple test variables include at least two of engine abnormality, foreign object impact, communication failure, abnormal weather, abnormal mission, and abnormal physiological characteristics.

[0083] Optionally, the model running module 302 is specifically used for: The occurrence of one abnormal event in each flight scenario and the occurrence of at least two abnormal events in each flight scenario were simulated.

[0084] Optionally, objective data is used to characterize the accuracy with which the pilot completes the corresponding task.

[0085] Optionally, the objective data includes at least one of a flight altitude, a flight speed, a flight trajectory, and a joystick offset indicator.

[0086] like Figure 3 As shown, another embodiment of the present application provides an electronic device, which includes a processor and a memory. The memory stores computer instructions, and the processor is used to execute the computer instructions stored in the memory. When the computer instructions are executed by the processor, the electronic device implements the method for determining the pilot stress recognition state as described in the above embodiment.

[0087] Another embodiment of the present application provides a computer-readable storage medium having computer-executable instructions stored thereon. When the computer-executable instructions are executed, the method for determining the pilot stress state as described in the above embodiment is implemented.

[0088] Another embodiment of the present application provides a computer program product, which includes program instructions. When the program instructions are run on a computer, the method for determining the pilot stress state described in the embodiment is executed.

[0089] In the above embodiments, it can be implemented in whole or in part by software, hardware, firmware or any combination thereof. When implemented using a software program, it can be implemented in whole or in part in the form of a computer program product. The computer program product includes one or more computer instructions. When the computer instruction is loaded and executed on a computer, the process or function in accordance with the embodiment of the present application is generated in whole or in part. The computer may be a general-purpose computer, a special-purpose computer, a computer network or other programmable device. The computer instruction may be stored in a computer-readable storage medium, or transmitted from one computer-readable storage medium to another computer-readable storage medium. For example, the computer instruction may be transmitted from a website site, computer, server or data center by wired (e.g., coaxial cable, optical fiber, digital subscriber line (DSL)) or wireless (e.g., infrared, wireless, microwave, etc.) mode to another website site, computer, server or data center. The computer-readable storage medium may be any available medium that a computer can access or a data storage device such as a server or data center that includes one or more available media integrated. The available medium may be a magnetic medium (eg, a floppy disk, a magnetic disk, a magnetic tape), an optical medium (eg, a digital video disc (DVD)), or a semiconductor medium (eg, a solid state drive (SSD)), etc.

[0090] Through the description of the above implementation methods, technicians in the relevant field can clearly understand that for the convenience and simplicity of description, only the division of the above functional modules is used as an example. In actual applications, the above functions can be assigned to different functional modules as needed, that is, the internal structure of the device is divided into different functional modules to complete all or part of the functions described above. The specific working process of the system, device and unit described above can refer to the corresponding process in the aforementioned method embodiment, and will not be repeated here.

[0091] In the several embodiments provided in the embodiments of the present application, it should be understood that the disclosed systems, devices and methods can be implemented in other ways. For example, the device embodiments described above are only schematic. For example, the division of the modules or units is only a logical function division. There may be other division methods in actual implementation, such as multiple units or components can be combined or integrated into another system, or some features can be ignored or not executed. Another point is that the mutual coupling or direct coupling or communication connection shown or discussed can be an indirect coupling or communication connection through some interfaces, devices or units, which can be electrical, mechanical or other forms.

[0092] The units described as separate components may or may not be physically separated, and the components shown as units may or may not be physical units, that is, they may be located in one place or distributed on multiple network units. Some or all of the units may be selected according to actual needs to achieve the purpose of the solution of this embodiment.

[0093] In addition, each functional unit in each embodiment of the present application can be integrated into one processing unit, or each unit can exist physically separately, or two or more units can be integrated into one unit. The above integrated unit can be implemented in the form of hardware or in the form of software functional units.

[0094] If the integrated unit is implemented in the form of a software functional unit and sold or used as an independent product, it can be stored in a computer-readable storage medium. Based on this understanding, the technical solution of the embodiment of the present application is essentially or the part that contributes to the prior art or all or part of the technical solution can be embodied in the form of a software product, and the computer software product is stored in a storage medium, including a number of instructions to enable a computer device (which can be a personal computer, a server, or a network device, etc.) or a processor to perform all or part of the steps of the method described in each embodiment of the embodiment of the present application. The aforementioned storage medium includes: various media that can store program codes, such as flash memory, mobile hard disk, read-only memory, random access memory, disk or optical disk.

[0095] The above is only a specific implementation of the embodiment of the present application, but the protection scope of the embodiment of the present application is not limited thereto, and any changes or replacements within the technical scope disclosed in the embodiment of the present application should be included in the protection scope of the embodiment of the present application. Therefore, the protection scope of the embodiment of the present application should be based on the protection scope of the claims.

Claims

1. A method for determining a pilot's stress state, characterized in that: The determination method comprises: Constructing a stress state test model; the test model is used to simulate at least one abnormal event in multiple flight scenarios, and determine the stress state of the pilot in each abnormal event; the multiple flight scenarios include takeoff, cruising and landing; each of the multiple flight scenarios includes multiple test variables, and the test variables are used to affect the stress state of the pilot; Running the test model to simulate the occurrence of at least one abnormal event in the plurality of flight scenarios in response to the pilot's operation; During the occurrence of each abnormal event in each flight scenario, obtaining a pilot's measurement index, wherein the measurement index includes objective data of the pilot in each abnormal event collected by the sensor device and subjective evaluation data of the pilot after stress state training; According to the obtained measurement indicators, the test model is adjusted until the test model is stable; Determine pilot stress status using a stable test model.

2. The determination method according to claim 1, characterized in that: The test model for constructing a stress state includes: determining the plurality of flight scenarios; determining the plurality of experimental variables; The test model is constructed according to the multiple flight scenarios and the multiple test variables.

3. The determination method according to claim 1, characterized in that: The plurality of test variables include at least two of engine abnormality, foreign object impact, communication failure, abnormal weather, abnormal mission, and abnormal physiological characteristics.

4. The determination method according to claim 3, characterized in that: The simulating the occurrence of at least one abnormal event in the plurality of flight scenarios comprises: The occurrence of one abnormal event in each of the flight scenarios and the occurrence of at least two abnormal events in each of the flight scenarios are simulated.

5. The determination method according to any one of claims 1 to 4, characterized in that: The objective data is used to characterize the accuracy with which the pilot completes the corresponding task.

6. The determination method according to claim 5, characterized in that: The objective data includes at least one of a flight altitude, a flight speed, a flight trajectory, and a joystick offset index.

7. A device for determining a pilot's stress state, characterized in that: The determining device comprises: A model building module, used to build a stress state test model; the test model is used to simulate at least one abnormal event in multiple flight scenarios, and determine the stress state of the pilot in each abnormal event; the multiple flight scenarios include takeoff, cruising and landing; each flight scenario in the multiple flight scenarios includes multiple test variables, and the test variables are used to affect the stress state of the pilot; A model running module, used to run the test model, and simulate the occurrence of at least one abnormal event in the multiple flight scenarios in response to the pilot's operation; An index collection module, used for obtaining the pilot's measurement index during the occurrence of each abnormal event in each flight scenario, wherein the measurement index includes objective data of the pilot in each abnormal event collected by the sensor device and subjective evaluation data of the pilot after stress state training; A model adjustment module, used to adjust the test model according to the acquired measurement indicators until the test model is stable; The model operation module is also used to determine the pilot's stress state using a stable test model.

8. The determination device according to claim 7, characterized in that: The model building module is specifically used for: determining the plurality of flight scenarios; determining the plurality of experimental variables; The test model is constructed according to the multiple flight scenarios and the multiple test variables.

9. The determination device according to claim 7, characterized in that: The plurality of test variables include at least two of engine abnormality, foreign object impact, communication failure, abnormal weather, abnormal mission, and abnormal physiological characteristics.

10. The determination device according to claim 9, characterized in that: The model operation module is specifically used for: The occurrence of one abnormal event in each of the flight scenarios and the occurrence of at least two abnormal events in each of the flight scenarios are simulated.

11. The determination device according to any one of claims 7 to 10, characterized in that: The objective data is used to characterize the accuracy with which the pilot completes the corresponding task.

12. The determination device according to claim 11, characterized in that: The objective data includes at least one of a flight altitude, a flight speed, a flight trajectory, and a joystick offset index.

13. An electronic device, characterized in that: The electronic device comprises a processor and a memory, wherein the memory stores computer instructions, and the processor is used to execute the computer instructions stored in the memory. When the computer instructions are executed by the processor, the electronic device implements the method for determining the pilot stress state according to any one of claims 1 to 6.

14. A computer-readable storage medium, characterized in that: The computer-readable storage medium stores computer-executable instructions, and when the computer-executable instructions are executed, the method for determining the pilot stress state according to any one of claims 1 to 6 is implemented.

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