Evaluation processing method for flight task suitable for pilot and electronic equipment

Abstract

The invention discloses an evaluation processing method and electronic equipment for a flight task suitable for a pilot, and the method comprises the steps: obtaining a flight state baseline of a target pilot under the condition that the target pilot can execute a target flight task, and obtaining the flight state of the target pilot in the execution of the target flight task through flight state collection equipment; wherein the target pilot is a pre-selected pilot used for executing the target flight task, and the flight state baseline is a pre-established reference line used for evaluating the flight state of the target pilot in the execution of the target flight task; judging whether the obtained flight state is abnormal or not and the abnormal degree under the abnormal condition according to the obtained flight state base line, and obtaining a flight suitability evaluation result; and a processing mode adaptive to the obtained flight suitability evaluation result is adopted for processing, so that the completion quality of the flight task is improved, and the flight safety is improved.

Description

Technical Field

[0001] The present application relates to the field of flight control, and in particular to an evaluation and processing method for evaluating a pilot's suitability for a flight mission and electronic equipment. Background Art

[0002] The assessment of pilots' suitability for flight missions is an important task, which is related to the quality of completion of flight missions and even to flight safety.

[0003] In the related art, whether the pilot is suitable for the flight mission is often evaluated before the flight begins.

[0004] However, this method cannot assess whether the aircraft is suitable for the flight mission during flight, and therefore can easily result in low quality of flight mission completion and even threaten flight safety. Summary of the invention

[0005] Based on the defects and shortcomings of the above-mentioned prior art, the present application proposes a pilot suitability for flight mission assessment and processing method and electronic equipment, which can promptly detect abnormalities in the flight status, thereby improving the quality of completion of the flight mission and enhancing flight safety.

[0006] According to a first aspect of an embodiment of the present application, a method for evaluating a pilot's suitability for a flight mission is provided, comprising: In the case where the target pilot can perform the target flight mission, the flight status baseline of the target pilot is obtained, and the flight status of the target pilot during the execution of the target flight mission is obtained using a flight status acquisition device; wherein the target pilot is a pilot pre-selected to perform the target flight mission, and the flight status baseline is a pre-established reference line for evaluating the flight status of the target pilot during the execution of the target flight mission; Based on the obtained flight status baseline, determine whether the obtained flight status is abnormal and the degree of abnormality under abnormal conditions, and obtain the flight competency assessment result; Take a handling approach that is appropriate to the flight competency assessment results obtained.

[0007] According to a second aspect of an embodiment of the present application, there is provided an electronic device, including: a memory and a processor; The memory is connected to the processor and is used to store programs; the processor is used to implement the above-mentioned pilot suitability for flight mission assessment processing method by running the programs in the memory.

[0008] The present application provides a pilot suitability flight mission assessment processing method and electronic equipment, in the case that the target pilot can perform the target flight mission, the target pilot's flight status baseline is obtained, and the target pilot's flight status during the target flight mission is obtained by using a flight status acquisition device; wherein the target pilot is a pre-selected pilot for performing the target flight mission, and the flight status baseline is a pre-established baseline for assessing the target pilot's flight status during the target flight mission; according to the obtained flight status baseline, it is judged whether the obtained flight status is abnormal and the degree of abnormality under abnormal conditions, and the flight suitability assessment result is obtained; and a processing method suitable for the obtained flight suitability assessment result is adopted for processing. Since the pilot's suitability for the flight mission can be assessed and processed during the flight, the abnormality in the flight status can be discovered in time, thereby improving the completion quality of the flight mission and improving flight safety. BRIEF DESCRIPTION OF THE DRAWINGS

[0009] In order to more clearly illustrate the embodiments of the present application 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 embodiments of the present application. For ordinary technicians in this field, other drawings can be obtained based on the provided drawings without paying any creative work.

[0010] Figure 1 A flowchart of a pilot suitability flight mission evaluation method provided in an embodiment of the present application; Figure 2 A flowchart of a method for evaluating a pilot's pre-flight psychological state provided in an embodiment of the present application; Figure 3 A schematic diagram of the structure of a pilot suitability flight mission assessment platform provided in an embodiment of the present application; Figure 4 A flowchart of a method for evaluating a pilot's suitability for a flight mission provided in an embodiment of the present application; Figure 5 A schematic diagram of the structure of a pilot suitability flight mission evaluation and processing device provided in an embodiment of the present application; Figure 6 A schematic diagram of the structure of an electronic device provided in an embodiment of the present application. DETAILED DESCRIPTION

[0011] The following will be combined with the drawings in the embodiments of the present application to clearly and completely describe the technical solutions in the embodiments of the present application. Obviously, the described embodiments are only part of the embodiments of the present application, not all of the embodiments. Based on the embodiments in the present application, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of this application.

[0012] Most aviation accidents and incidents are related to human factors, and the unstable emotions of pilots may lead to serious consequences. Through competency assessment, airlines and regulators can identify the risks that pilots may face when performing flight missions, and take measures to intervene or retrain in advance, thereby reducing the probability of accidents. Related technologies often assess whether pilots are competent for flight missions before the flight begins. However, this method cannot control the pilot's flight status during actual flight, which can easily lead to low quality of flight mission completion and even threaten flight safety.

[0013] To this end, the present application embodiment provides a method for evaluating and processing a pilot's suitability for a flight mission, such as Figure 1 As shown, including: Step 100: When the target pilot can perform the target flight mission, obtain the flight status baseline of the target pilot, and use the flight status acquisition device to obtain the flight status of the target pilot during the execution of the target flight mission; wherein the target pilot is a pilot pre-selected to perform the target flight mission, and the flight status baseline is a pre-established reference line for evaluating the flight status of the target pilot during the execution of the target flight mission.

[0014] The flight status baseline is a reference standard used to evaluate the flight status of the target pilot when performing the target flight mission. This baseline can be obtained based on the target pilot's historical flight missions and used to compare the flight status of the target pilot when performing the target flight mission.

[0015] Due to the great individual differences between pilots, their flight status during actual flight is also different. Establishing and adopting a unified status baseline is not conducive to the control of individual conditions. The status baseline established for each pilot is personalized and helps to evaluate the pilot's flight status in flight in a targeted manner.

[0016] The established flight status baseline corresponds to the pilot one-to-one. In order to facilitate the correspondence of the flight status baseline to the pilot, in actual applications, a one-to-one correspondence can be established between the flight status baseline and the pilot. The pilot in the one-to-one correspondence can refer to information that uniquely identifies the pilot's identity, such as the pilot number.

[0017] The one-to-one correspondence between the flight status baseline and the pilot can be centrally managed in the status baseline library. When it is determined that the target pilot will perform the target flight mission and the target pilot can perform the target flight mission, the flight status baseline corresponding to the target pilot can be obtained from the status baseline library based on the target pilot's identity information.

[0018] Step 110: determine whether the obtained flight status is abnormal and the degree of abnormality under abnormal conditions according to the obtained flight status baseline, and obtain a flight competency assessment result.

[0019] The execution of a flight mission is a continuous process, so usually, the flight status acquisition device will continuously obtain the flight status of the target pilot during the execution of the target flight mission, so the pilot's suitability for the flight mission evaluation processing method provided in the embodiment of the present application is also continuously executed. As for the timing of each execution, it can be each time the flight status is received from the flight status acquisition device, or it can be considered from the perspective of resource and energy consumption, and the execution timing is set to every preset time.

[0020] The flight status obtained refers to the data used to reflect the flight status. Judging whether the obtained flight status is abnormal based on the obtained flight status baseline can be achieved through threshold method, statistical method, etc. For example, by using the threshold method, the normal fluctuation range of the flight status can be determined based on the flight status baseline. If the flight status exceeds the set normal fluctuation range, it is considered that the flight status is abnormal. For example, by using the statistical method, the judgment value of the deviation degree of the abnormal flight status is pre-set, and the deviation degree between the flight status baseline and the obtained flight status can be calculated using statistical methods such as standard deviation and Z score. If the deviation degree is greater than the judgment value, it is considered that the flight status is abnormal.

[0021] Judging whether the obtained flight status is abnormal and the degree of abnormality under abnormal circumstances based on the obtained flight status baseline can be divided into two steps, namely, the step of judging whether the obtained flight status is abnormal based on the obtained flight status baseline, and the step of judging the degree of abnormality of the obtained flight status based on the obtained flight status baseline. During actual execution, the step of judging whether the obtained flight status is abnormal based on the obtained flight status baseline can be first executed. If it is judged that the flight status is abnormal, the step of judging the degree of abnormality of the obtained flight status based on the obtained flight status baseline can be executed. If it is judged that the flight status is normal, there is no need to execute the step of judging the degree of abnormality of the obtained flight status based on the obtained flight status baseline.

[0022] When it is determined that the flight state is abnormal, judging the degree of abnormality of the obtained flight state based on the obtained flight state baseline can still be achieved through threshold methods, statistical methods, etc. For example, by using the threshold method, the abnormal fluctuation range of the multi-level abnormal flight state can be determined based on the flight state baseline. If the flight state is within the abnormal fluctuation range set at a certain level, the abnormal degree of the flight state is considered to be the abnormal degree of that level. For example, by using a statistical method, the deviation range of the deviation degree of the multi-level abnormal flight state is pre-set, and statistical methods such as standard deviation and Z score can be used to calculate the deviation degree between the flight state baseline and the obtained flight state. If the deviation degree is within the deviation range of a certain level, the abnormal degree of the flight state is considered to be the abnormal degree of that level.

[0023] Step 120: Take a processing method that is appropriate to the flight competency assessment result obtained.

[0024] According to whether the flight status is abnormal and the degree of abnormality under abnormal conditions, the flight competency assessment results can be divided into normal flight status, abnormal flight status and degree of abnormality. When the flight competency assessment result is that the flight status is normal, the processing to be performed may be that the target pilot continues to complete the flight mission. When the flight competency assessment result is that the flight status is abnormal and the degree of abnormality is abnormal, the processing to be performed may be that the target flight mission is stopped.

[0025] The present application provides a pilot suitability flight mission assessment and processing method, in the case where the target pilot can perform the target flight mission, obtains the target pilot's flight status baseline, and uses the flight status acquisition device to obtain the target pilot's flight status during the target flight mission; wherein the target pilot is a pre-selected pilot for performing the target flight mission, and the flight status baseline is a pre-established baseline for assessing the target pilot's flight status during the target flight mission; according to the obtained flight status baseline, it is determined whether the obtained flight status is abnormal and the degree of abnormality under abnormal conditions, and the flight suitability assessment result is obtained; and a processing method suitable for the obtained flight suitability assessment result is adopted for processing. Since the pilot's suitability for the flight mission can be assessed and processed during the flight, the abnormality in the flight status can be discovered in time, thereby improving the completion quality of the flight mission and improving flight safety.

[0026] In an exemplary embodiment, before obtaining the flight status baseline of the target pilot and using the flight status acquisition device to obtain the flight status of the target pilot during the execution of the target flight mission, as shown in FIG. Figure 2 As shown, it also includes: Step 200: Use psychological testing equipment to evaluate the pre-flight psychological state of the target pilot to obtain a first psychological state evaluation result.

[0027] The timing of using the psychological testing equipment to evaluate the target pilot's pre-flight psychological state can be any time when the target pilot is preparing for the target flight mission after receiving the target flight mission, or any period of time when the target pilot is preparing for the target flight mission after receiving the target flight mission. Accordingly, when the psychological testing equipment is used to evaluate the target pilot's pre-flight psychological state only at a certain time, the first psychological state evaluation result is the psychological state evaluation result at that time, and when the psychological testing equipment is used to evaluate the target pilot's pre-flight psychological state at a certain period of time, the first psychological state evaluation result is the psychological state evaluation result of that period of time.

[0028] Step 210: Obtain the pre-flight psychological state baseline of the target pilot, and use the obtained pre-flight psychological state baseline to determine whether the obtained first psychological state assessment result is normal; wherein the pre-flight psychological state baseline of the target pilot is a pre-established baseline for evaluating the psychological state of the target pilot before executing the target flight mission.

[0029] The pre-flight psychological state baseline is a reference standard used to evaluate the psychological state of the target pilot before performing the target flight mission. This baseline can be obtained based on the psychological state of the target pilot before performing historical flight missions and used to compare with the psychological state of the target pilot before performing the target flight mission.

[0030] Due to the great individual differences among pilots, their pre-flight psychological states towards flight missions are also different. Establishing and adopting a unified pre-flight psychological state baseline is not conducive to the control of individual conditions. The pre-flight psychological state baseline established for each pilot is personalized and helps to evaluate the pilot's pre-flight psychological state in a targeted manner.

[0031] The established pre-flight psychological state baseline corresponds to the pilot one-to-one. In order to facilitate the correspondence of the pre-flight psychological state baseline to the pilot, in actual application, a one-to-one correspondence between the pre-flight psychological state baseline and the pilot can be established.

[0032] The one-to-one correspondence between the pre-flight psychological state baseline and the pilot can be centrally managed in the pre-flight psychological state baseline library. When it is determined that the target pilot will perform the target flight mission, the pre-flight psychological state baseline corresponding to the target pilot can be obtained from the pre-flight psychological state baseline library according to the identity information of the target pilot.

[0033] The obtained first psychological state evaluation result is usually reflected in the form of data. The threshold method, statistical method, etc. can be used to determine whether the obtained first psychological state evaluation result is normal by using the obtained pre-flight psychological state baseline. For example, by using the threshold method, the normal fluctuation range of the flight state can be determined according to the flight state baseline. If the flight state exceeds the set normal fluctuation range, it is considered that the flight state is abnormal. For example, by using a statistical method, a judgment value of the degree of deviation of the abnormal flight state is pre-set, and statistical methods such as standard deviation and Z score can be used to calculate the degree of deviation between the flight state baseline and the obtained flight state. If the degree of deviation is greater than the judgment value, it is considered that the flight state is abnormal.

[0034] Step 220: In response to the judgment that the obtained first psychological state assessment result is normal, obtain the complexity assessment result of the target flight mission, and make an adaptability judgment on the obtained complexity assessment result and the obtained first psychological state assessment result.

[0035] The situation in which the target pilot can perform the target flight mission is determined by judging whether the obtained complexity evaluation result and the obtained first psychological state evaluation result are compatible.

[0036] Since it can be determined that the target pilot can perform the target flight mission when the complexity assessment result and the first psychological state assessment result are compatible, it can be determined that the target pilot can perform the target flight mission only if the following conditions are met: the first psychological state assessment result is normal, and the first psychological state assessment result matches the complexity assessment result of the target flight mission.

[0037] The normal result of the first psychological state assessment is the primary condition for the target pilot to perform the flight mission, but it does not mean that as long as the result of the first psychological state assessment is normal, the target pilot can perform any flight mission. Specifically for the target flight mission, whether the target pilot can perform it also needs to judge whether the complexity assessment result and the first psychological state assessment result are compatible, that is, it is necessary to judge whether the psychological state of the target pilot is sufficient to support the psychological state required to perform the target flight mission. Therefore, by judging the adaptability of the complexity assessment result of the target flight mission and the first psychological state assessment result, it can be ensured before the flight that the target pilot is psychologically able to cope with the challenges of the target flight mission, so that from the perspective of pre-flight prediction, the completion quality of the flight mission can be guaranteed to a great extent and flight safety can be improved.

[0038] In one exemplary embodiment, the psychological testing device includes: an electrocardiographic testing sensor device and a facial expression monitoring device; The pre-flight psychological state includes: a pre-flight mental stress state and a pre-flight emotional state; wherein the pre-flight mental stress state is obtained based on data from an electrocardiogram test sensor device; the pre-flight emotional state is obtained based on data from an electrocardiogram test sensor device and data from a facial expression monitoring device; The pre-flight psychological state baseline includes: the pre-flight high-pressure psychological state baseline and the pre-flight abnormal emotional state baseline; the first psychological state assessment results include: the pre-flight mental stress state assessment results and the pre-flight emotional state assessment results; Use the pre-flight mental state baseline to determine whether the first mental state assessment result is normal, including: Use the obtained pre-flight high-pressure mental state baseline to determine whether the obtained pre-flight mental stress state assessment results are normal; The obtained abnormal pre-flight emotional state baseline is used to determine whether the obtained pre-flight emotional state is normal.

[0039] The ECG test sensor equipment can capture the target pilot's various physiological indicators and transmit them through signals. Since physiological indicators are closely related to psychological state, the signals transmitted by the ECG test sensor equipment can be used to obtain the target pilot's various physiological indicators and the target pilot's mental stress state before flight. After obtaining the target pilot's mental stress state before flight, the pre-flight high-pressure mental state baseline can be used to evaluate it, thereby obtaining the pre-flight mental stress state evaluation result.

[0040] Since emotional states (such as stress, pleasure, fear, anger, etc.) can affect the autonomic nervous system and thus regulate the physiological response of the heart, the signals transmitted by the ECG test sensor device can not only be used to infer the mental stress state of the target pilot, but also be used to indirectly reflect the target pilot's emotions. In addition, the facial expression monitoring device can capture the target pilot's facial expressions and transmit them in the form of images. Since facial expressions can directly reflect the target pilot's emotions, the target pilot's pre-flight emotional state can be obtained by combining the signals transmitted by the ECG test sensor device and the facial expression images of the target pilot captured by the facial expression monitoring device. After obtaining the target pilot's pre-flight emotional state, the abnormal pre-flight emotional state baseline can be used to evaluate it, thereby obtaining the pre-flight emotional state evaluation result.

[0041] Since the pre-flight mental stress state assessment results and the pre-flight emotional state assessment results both belong to the first psychological state assessment results, the specific implementation of using the obtained pre-flight high-pressure mental state baseline to determine whether the obtained pre-flight mental stress state assessment results are normal, and the specific implementation of using the obtained pre-flight abnormal emotional state baseline to determine whether the obtained pre-flight emotional state is normal, can refer to the above-mentioned implementation process of using the obtained pre-flight psychological state baseline to determine whether the obtained first psychological state assessment results are normal, and will not be repeated here.

[0042] ECG test sensor equipment can include: patch-type ECG test recorders, portable ECG test monitors, smart watches and bracelets, etc. Facial expression monitoring equipment can include: facial recognition cameras and cameras and computer vision systems, etc.

[0043] In one exemplary embodiment, the method further includes: In response to a determination result that the first psychological state evaluation result is abnormal, obtaining a second psychological state evaluation result self-evaluated by the target pilot; When the obtained second psychological state evaluation result is consistent with the obtained first psychological state evaluation result, the target flight mission of the target pilot is canceled.

[0044] The abnormal result of the first psychological state evaluation indicates that the target pilot did not pass the evaluation of the psychological test equipment before the flight, and the first psychological state evaluation result is the objective evaluation result of the psychological test equipment. In order to make a more cautious decision to cancel the target pilot's target flight mission, the second psychological state evaluation result of the target pilot's self-evaluation can be obtained, and it can be judged whether the second psychological state evaluation result is consistent with the first psychological state evaluation result. The second psychological state evaluation result is the subjective evaluation result conducted by the target pilot himself. Since the target pilot will only be given the opportunity to self-evaluate his psychological state when the first psychological state evaluation result is abnormal, when the second psychological state evaluation result is consistent with the first psychological state evaluation result, it means that the target pilot's self-evaluation result is also not good. Therefore, combined with the subjective and objective evaluation results, a decision can be made to cancel the target pilot's target flight mission.

[0045] In an exemplary embodiment, a processing method suitable for the obtained flight competency assessment result is adopted for processing, including: In response to the obtained flight competency assessment result being that the flight status is abnormal, and the abnormality degree is a target level abnormality degree, a man-machine flight authority switching operation is performed within a range corresponding to the target level abnormality degree; wherein the target level abnormality degree is any level abnormality degree other than the highest level abnormality degree; In response to the obtained flight suitability assessment result that the flight status is abnormal and the degree of abnormality is the highest level of abnormality, a human-machine flight authority switching operation corresponding to the highest level of abnormality is performed, and the target flight mission is terminated.

[0046] Due to the classification of different abnormality levels, different treatments can be performed according to the different abnormality levels of the flight status. If the abnormality level is relatively minor, simple treatment can be performed, while if the abnormality level is serious, urgent and important treatment is required. Therefore, the classification of abnormality levels and corresponding treatment according to the abnormality level can reduce the psychological pressure of the target pilot (avoiding the one-size-fits-all phenomenon of the target pilot's flight mission performance due to minor problems), and ensure the completion quality of the flight mission and improve flight safety.

[0047] Different processing may refer to human-machine switching of a range of flight operations. The range of flight operations corresponding to different abnormality levels may be determined according to the degree of impact of the flight operations. For example, assuming that three levels of abnormality of flight states are pre-divided into mild abnormality, moderate abnormality and severe abnormality, and then the range of flight operations is divided according to the degree of impact. The flight operations with greater impact (here the impact may refer to the impact of the flight operation on flight safety) may be divided into one range and used as the first range, and the flight operations with greater impact and the flight operations with moderate impact may be divided into another range and used as the second range. The mild abnormality corresponds to the first range, and the moderate abnormality corresponds to the second range.

[0048] After the above settings, when the flight suitability assessment result is that the flight status of the target pilot is abnormal and the degree of abnormality is mild, the flight operations within the first range can be switched by man-machine, that is, the flight operations with greater impact are switched from the pilot operation mode to the aircraft automatic operation mode, and the flight operation authorities other than the first range are reserved for the target pilot, that is, the target pilot is allowed to perform flight operations with moderate and minor impacts; when the flight suitability assessment result is moderate abnormality, the flight operations within the second range can be switched by man-machine, that is, the flight operations with greater and moderate impacts are switched from the pilot operation mode to the aircraft automatic operation mode, and the flight operation authorities other than the second range are reserved for the target pilot, that is, the target pilot is only allowed to perform flight operations with minor impacts; and when the flight suitability assessment result is severe abnormality, the man-machine authority switching of all flight operations is directly adopted, that is, the mode of all flight operations is switched from the pilot operation mode to the aircraft automatic operation mode, and the target flight mission is terminated, and the aircraft is led back by the aircraft automatic operation mode.

[0049] In one exemplary embodiment, the method further includes: When the target flight mission is completed or terminated, the flight status baseline is updated using the flight status of the target pilot during the target flight mission to obtain an updated flight status baseline to serve as a baseline for evaluating the flight status of the target pilot during the next flight mission.

[0050] The termination of the target flight mission may be caused by abnormal flight competency assessment results during the target flight mission. However, regardless of whether the target flight mission is completed or terminated, the flight status of the target pilot during the execution of the target flight mission will be used as a new basis to update the flight status baseline, thereby ensuring that the flight status baseline is updated dynamically in real time, and being able to provide feedback on the overall flight status of the target pilot during the execution of recent flight missions, thereby making it more accurate when using it to judge the flight status of new flight missions.

[0051] In an exemplary embodiment, when the target pilot is flying for the first time, the flight status baseline of the target pilot is obtained by: Simulate flight missions through ground simulators and obtain the flight status of target pilots when performing simulated flight missions; A flight status baseline of the target pilot is established based on the obtained flight status.

[0052] When the target pilot is flying for the first time, there is no flight status baseline established based on historical flight missions for the target pilot, but it is necessary to judge the flight status during the execution of the target flight mission based on the flight status baseline. Therefore, the flight mission can be simulated through a ground simulator, and the flight status baseline of the target pilot in the simulated flight mission can be used to establish his flight status baseline.

[0053] A flight ground simulator is a device used to train pilots, test flight systems, and simulate flight operations. When used to train pilots, it can help pilots conduct flight training, skill improvement, and emergency drills in a safe, controlled environment. There are many types of flight ground simulators, covering a wide range of areas from basic training to advanced operations, including: fixed flight simulators, sports flight simulators, and pilot training cabins.

[0054] In one illustrative example, The flight status includes: safety-related flight status involving flight safety, and performance-related flight status involving flight performance; the flight status baseline includes: safety-related flight status baseline and performance-related flight status baseline; Based on the obtained flight status baseline, determine whether the obtained flight status is abnormal and the degree of abnormality under abnormal conditions, and obtain the flight competency assessment results, including: Based on the obtained safety flight status baseline, it is judged whether the safety flight status of the target pilot during the execution of the target flight mission is abnormal and the degree of abnormality under abnormal circumstances. Based on the obtained performance flight status baseline, it is judged whether the performance flight status of the target pilot during the execution of the target flight mission is abnormal and the degree of abnormality under abnormal circumstances, and the flight competency assessment result is obtained.

[0055] Safety flight status mainly reflects the flight status related to flight safety during the execution of the flight mission. The safety flight status can be used to judge whether the pilot can ensure flight safety. Performance flight status mainly reflects the flight status related to flight performance during the execution of the flight mission. The performance flight status can be used to judge the degree of completion of the pilot's flight mission, for example, whether the pilot is in a bad mental state, has a distracted look, and breathes heavily during the execution of the flight mission. Another example is whether the pilot is not focused and has a wandering look during the execution of the flight mission.

[0056] After dividing the flight status into safety flight status involving flight safety and performance flight status involving flight performance, in the process of obtaining the flight competency assessment results, the following two methods can be used to determine whether the safety flight status of the target pilot during the execution of the target flight mission is abnormal and the degree of abnormality under abnormal circumstances: and the following two methods can be used to determine whether the performance flight status of the target pilot during the execution of the target flight mission is abnormal and the degree of abnormality under abnormal circumstances: either one of them can be performed first or both can be performed at the same time.

[0057] In an exemplary embodiment, the flight status acquisition device includes: an electrocardiogram test sensor device, a facial expression monitoring device, an eye movement device, and a grip operation sensor device; Safety flight status includes: operational behavior status, flight perception status and emotional status during flight; performance flight status includes: situational awareness status, workload status and physical load status; The safety-related flight status baselines include: abnormal behavior status baseline, flight illusion status baseline, and abnormal emotion status baseline during flight. The performance-related flight status baselines include: lack of situational awareness status baseline, work overload status baseline, and fatigue status baseline.

[0058] Among them, flight perception state refers to the target pilot's ability to perceive the flight environment and body state during the flight. It covers the target pilot's awareness, judgment and reaction ability to the surrounding situation during flight. Therefore, the flight perception state is crucial to flight safety.

[0059] Situational awareness refers to the pilot's ability to perceive, understand and predict the current flight environment and the situation he is in during the flight. This ability is crucial for pilots because it directly affects flight safety, decision-making quality and emergency response capabilities. The pilot's situational awareness includes the following aspects: perception refers to the pilot's acquisition of basic information about the flight environment through various senses (such as vision, hearing, instrument information, etc.); understanding refers to the pilot's analysis and integration based on the perceived information to form an understanding of the current flight environment; prediction refers to the pilot's speculation on future changes based on existing information and preparation for possible situations.

[0060] In an exemplary embodiment, judging whether the safety-type flight state of the target pilot during the execution of the target flight mission is abnormal and the degree of abnormality under abnormal conditions according to the obtained safety-type flight state baseline includes: Judging whether the obtained operational behavior state is abnormal and the degree of abnormality under abnormal circumstances according to the obtained abnormal behavior state baseline; judging whether the obtained flight perception state is abnormal and the degree of abnormality under abnormal circumstances according to the obtained flight illusion state baseline; judging whether the obtained in-flight emotional state is abnormal and the degree of abnormality under abnormal circumstances according to the obtained in-flight abnormal emotional state baseline; Based on the obtained performance flight status baseline, determine whether the performance flight status of the target pilot during the execution of the target flight mission is abnormal and the degree of abnormality under abnormal circumstances, including: Judging whether the obtained situational awareness state is abnormal and the degree of abnormality under abnormal conditions based on the obtained situational awareness deficiency state baseline; judging whether the obtained workload state is abnormal and the degree of abnormality under abnormal conditions based on the obtained workload overload state baseline; judging whether the obtained body load state is abnormal and the degree of abnormality under abnormal conditions based on the obtained fatigue state baseline; Among them, the operating behavior state is obtained based on the data from the grip operation sensor device and the data from the eye movement device; the flight perception state is obtained based on the data from the eye movement device; the emotional state in flight is obtained based on the data from the facial expression monitoring device and the data from the electrocardiogram test sensor device; the situational awareness state is obtained through the data from the electrocardiogram test sensor device and the data from the eye movement device; the workload state is obtained through the data from the eye movement device; and the body load state is obtained through the data from the electrocardiogram test sensor device and the data from the eye movement device.

[0061] The data from the grip operation sensing device may include grip force data, joystick position data, operation speed data, etc.

[0062] Data from eye tracking equipment may include: eyelid opening and closing degree, blinking frequency, eye gaze point location, pupil changes, eye movement trajectory, etc. If the eyelid opening and closing degree is continuously small (for example, the eyes are half-closed or completely closed), it usually indicates that the target pilot is relatively tired. Similarly, frequent blinking can also indicate that the target pilot is relatively tired.

[0063] The workload state focuses on reflecting the psychological load and cognitive stress felt by pilots when performing specific flight missions. This state tends to represent an immediate situation, while the physical load state focuses on reflecting the physical burden borne by pilots during the execution of multiple flight missions. This state tends to represent a long-term situation.

[0064] The operational behavior state, flight perception state, in-flight emotional state, situational awareness state, workload state and physical load state can be obtained by adaptively processing the data from their respective sources. Each type of state obtained can be reflected in a quantitative form, such as a score, to facilitate subsequent comparison with the corresponding state baseline. Accordingly, when the obtained state is reflected in the form of a score, the state baseline is also reflected in the form of a score, thereby facilitating intuitive comparison.

[0065] Taking the acquisition of the operating status as an example, assuming that in the process of acquiring the operating status, the data from the stick grip operation sensor device is the stick grip force data, and the data from the eye movement device is the eyelid opening and closing data, then a first weight can be assigned to the stick grip force data, and a second weight can be assigned to the eyelid opening and closing data (the first weight and the second weight can be predetermined based on the degree of influence of the stick grip force and the eyelid opening and closing on the operating behavior status), a stick grip force score is obtained using the obtained stick grip force and the first weight, and an eyelid opening and closing score is obtained using the obtained eyelid opening and closing degree and the second weight, and then a final score is obtained based on the stick grip force score and the eyelid opening and closing score and used as the operating behavior status score. After obtaining the operating behavior status score, the abnormal behavior status baseline can be used to determine whether the operating status of the target pilot is abnormal and the degree of abnormality.

[0066] Still taking the acquisition of the operation status as an example, assuming that in the process of acquiring the operation status, the data from the grip operation sensor device are the grip strength and the operation speed, and the data from the eye movement device are the eyelid opening and closing degree and the blinking frequency, then the acquisition of the operation status can also be achieved by first calculating the scores of each data under the same acquisition device, then calculating the scores of all data under the same acquisition device, and finally calculating the operation status score. The specific examples are as follows: A first weight may be assigned to the data item of grip strength, a second weight may be assigned to the data item of operation speed (the first weight and the second weight may be predetermined based on the degree of influence of grip strength and operation speed on the operation behavior state), a third weight may be assigned to the data item of eyelid opening and closing, a fourth weight may be assigned to the blinking frequency (the third weight and the fourth weight may be predetermined based on the degree of influence of eyelid opening and closing and blinking frequency on the operation behavior state), a fifth weight may be assigned to grip operation, and a sixth weight may be assigned to eye movement (the fifth weight and the sixth weight may be predetermined based on the degree of influence of grip operation and eye movement on the operation behavior state). A grip strength score is obtained using the obtained grip strength and the first weight, an operation speed score is obtained using the obtained operation speed and the second weight, a grip operation score is obtained based on the grip strength score and the operation speed score, an eyelid opening and closing score is obtained using the obtained eyelid opening and closing and the third weight, a blinking frequency score is obtained using the obtained blinking frequency and the fourth weight, and an eye movement score is obtained based on the eyelid opening and closing score and the blinking frequency score. A first score is obtained based on the stick grip score and the fifth weight, a second score is obtained based on the eye movement score and the sixth weight, and a final score is obtained based on the first score and the second score and used as the operation behavior score. After obtaining the operation behavior status score, the abnormal behavior status baseline can be used to determine whether the target pilot's operation status is abnormal and the degree of abnormality.

[0067] Taking the acquisition of workload status as an example, assuming that in the process of acquiring workload status, the data from the eye movement device is the eyelid opening and closing data, the corresponding relationship between different eyelid opening and closing degrees and workload status scores can be directly defined. For example, if the eyelid opening and closing degree of the target pilot is detected to be a first opening and closing degree (the first opening and closing degree can be a range of opening and closing degrees), it corresponds to the first workload status score, and if the eyelid opening and closing degree of the target pilot is detected to be a second opening and closing degree, it corresponds to the second workload status score. The workload status score can be obtained using the obtained eyelid opening and closing degree, and then the workload status baseline and the obtained workload status score can be used to determine whether the workload status of the target pilot is abnormal and the degree of abnormality.

[0068] Taking the acquisition of workload status as an example, assuming that in the process of acquiring the workload status, the data from the eye movement device are eyelid opening and closing data and blinking frequency, then a first weight can be assigned to the eyelid opening and closing data, and a second weight can be assigned to the blinking frequency data (the first weight and the second weight can be predetermined based on the degree of influence of eyelid opening and closing and blinking frequency on determining the workload status), an eyelid opening and closing score is obtained using the obtained eyelid opening and closing degree and the first weight, a blinking frequency score is obtained using the obtained blinking frequency and the second weight, and then a final score is obtained based on the eyelid opening and closing degree score and the blinking frequency score and used as the workload status. After obtaining the workload status score, the workload status baseline can be used to determine whether the workload status of the target pilot is abnormal and the degree of abnormality.

[0069] The evaluation and processing method for a pilot's suitability for a flight mission provided in the embodiment of the present application divides the flight status into multiple aspects, so that the pilot's performance during the execution of the flight mission can be examined in more detail, which is conducive to a comprehensive evaluation of the flight status.

[0070] The pilot flight mission suitability evaluation processing method provided in the embodiment of the present application can be implemented by a pilot flight mission suitability evaluation platform, such as Figure 3 As shown, it may include: a wearable physiological parameter test module 300, a pilot human factor status database 310, a pilot competency status assessment module 320, a pilot physiological and psychological status real-time monitoring and warning module 330, and a flight mission safety performance assessment module 340, a total of five parts; Among them, the pilot wearable physiological parameter test module 300 is the front-end sensor of the platform, responsible for the real-time input of the pilot status data. The pilot wearable physiological parameter test module consists of two parts: physiological behavior parameter test equipment and airborne Bluetooth forwarding and receiving data processing box. The test equipment includes non-invasive patch-type ECG test sensor, desktop eye movement test equipment, facial expression test equipment, and grip force test sensor; the data processing box is divided into a data receiving end, a processing center, and a forwarding end. The receiving end synchronously and real-timely receives 4 types of multi-modal, heterogeneous physiological behavior data and 1 type of flight mission data. The processing center synchronizes the time and aligns the features of the 5-channel data, and the forwarding end integrates the data and sends it to the airborne test system.

[0071] The pilot human status database 310 constructs a baseline of personal cognitive behavioral status through the data in the database, supports the loading of initial data of the identification model in the pilot competency status assessment module 320 and the pilot physiological and psychological status monitoring and warning module 330, and ensures the accuracy of identification.

[0072] The pilot human status database mainly stores and statistically analyzes pilot historical flight data, flight mission scenario data, physiological behavior data, mission audio and video data, and subjective evaluation data. Pilot historical flight data includes historical flight sorties, flight hours, mission scenarios, aircraft types, and other data related to their proficiency and psychological quality; flight mission scenario data includes two categories of typical scenarios that can induce different states of pilots, namely normal flight and fault flight; physiological behavior data includes multimodal feature data such as pilot electrocardiogram, blood oxygen, eye movement, facial expression, and grip force; mission audio and video data includes cockpit external flight environment video, cockpit internal interactive operation video, and mission process cabin audio and video generated during the flight mission; subjective evaluation data includes pre-flight psychological assessment data and post-flight cognitive behavior status evaluation data.

[0073] The pilot competency status assessment module 320 serves as a pre-flight (can be called ex ante) competency prediction mechanism, which is mainly used for personal psychological state detection and performance prediction allocation before flight missions, pre-flight mission adjustments and terminations, and to prevent malicious manipulation and the continuation of inefficient flight mission plans.

[0074] This module can be run in a ground laboratory or workbench. When used for the first time, the pilot needs to wear the wearable test system 24 hours in advance, complete the resting state data collection, and perform a variety of physiological and psychological state induction tasks on the ground to complete the loading of the baseline and threshold information of the personal physiological and psychological database; before the formal flight, the pilot wears the test system and undergoes psychological state evaluation and task matching evaluation. In actual use, the pilot's suitability status assessment module system sequentially calls the mental stress model and abnormal emotion model. If both curves are normal and there are no alarms, the task complexity calculation can be performed; if an alarm occurs, it is determined whether to terminate the task based on the consistency between the alarm status and the subjective evaluation results; if the combined evaluation results of the task complexity conditions and the status conditions meet the task performance requirements in the database, the task is allowed to start.

[0075] The pilot competency status assessment module can include: task complexity prediction module, psychological quality assessment module, and task performance prediction module. The task complexity assessment module is responsible for performing entropy increase analysis on the action complexity, logic complexity, and control mode complexity of the task, and providing an assessment magnitude of the task execution workload and difficulty; the psychological quality module includes a mental stress assessment model and an abnormal emotion assessment model to identify the pilot's psychological quality level; the task performance prediction module is responsible for integrating the task complexity and psychological quality assessment results, providing a performance prediction result of the pilot performing the assigned task according to the current state, judging whether it is appropriate to perform the planned task, and providing suggestions for adjusting the task plan.

[0076] The pilot physiological and psychological state monitoring and warning module 330 serves as a state performance evaluation mechanism for pilots in flight (which can be called in-flight). It supports the redistribution of human-machine authority in flight by identifying abnormal emotions, abnormal behaviors, etc. of pilots, issuing warnings and correcting them, and identifying workload and fatigue states to optimize performance.

[0077] Among them, the pilot's physiological and psychological real-time monitoring and warning module can be run on the airborne early warning terminal or the ground workbench. In real-time, the system first calls the safety assessment model: abnormal behavior model, flight illusion model, abnormal emotion model; if the three curves are normal and there are no alarms, the situational awareness model, workload model and fatigue model are called in sequence. If the three curves are also normal and there are no alarms, it can be selected according to the performance representation whether to complete the state adjustment by aircraft authority conversion; if an alarm occurs in any state, a mild alarm will be prompted by the ground monitoring personnel according to the pilot's state alarm level. After three invalid reminders, the aircraft authority will be switched, and then the state will be checked again in a loop. If a severe alarm occurs, the state will be switched first and then the mission will be terminated.

[0078] The pilot's physiological and psychological state real-time monitoring and warning module may include: an identification model processor, a pilot status real-time display terminal and an abnormal state warning terminal. The identification model processor contains an identification algorithm model for the pilot's workload, situational awareness, mental stress, abnormal emotions, abnormal behavior and flight illusion. Its front end is connected to the onboard Bluetooth forwarding and receiving data processing box, receives the processed synchronous data and calls the corresponding algorithm to give the identification result, and the back end is connected to the pilot status real-time display terminal, which synchronously displays the pilot's physiological and psychological state curve in the air and on the ground; the abnormal state warning terminal is connected to the status real-time display terminal, and gives different types of prompts such as voice and text display lights for the abnormal state it identifies and judges.

[0079] The flight mission safety performance evaluation module 340 serves as a post-flight (which can be called ex post) competence judgment mechanism. It provides the pilot's learning ability curve and determines his competence level based on the real-time monitoring of the pilot's physiological and psychological state and the output results of the alarm module, as well as the evaluation results of the system's own mission performance.

[0080] The pilot task performance evaluation module can include: a task model processing module and a competency visualization analysis module. The task model processing module is responsible for receiving data from the pilot status real-time display terminal and outputting the comprehensive evaluation results of psychological quality and task performance; the competency visualization analysis module is responsible for graphically displaying the statistical analysis results of sub-item indicators such as workload, situational awareness, etc. in psychological quality and route proficiency in task performance.

[0081] The evaluation and processing system for pilots' suitability for flight missions provided in the embodiment of the present application can be applied to the evaluation of pilot competence. Pilot competence is a key assessment item in the pilot training system and a result capability indicator for the evaluation of the EBT training effect. Pilot competence mainly includes two categories: technical ability (knowledge, manual operation, automation, and application) and non-technical ability (workload, situational awareness, decision-making, communication, leadership, and teamwork). The current evaluation methods for it are mainly subjective and objective. In terms of subjectivity: the pilot competence has initially formed an evaluation scale with 9 indicators, and the incremental evaluation of the competence after training is achieved by observing the behavioral scale score. However, due to the single task scenario of the training evaluation and the few levels of evaluation indicators, the evaluation results cannot fully cover the evaluation indicators on the one hand, and on the other hand, it is easy to form inertial thinking among the subjects due to the increased frequency of use, and the evaluation results are not accurate enough. Objectively, since non-technical capabilities involve the cognitive behavioral state of pilots, and the current airborne environment does not have a test system for real-time monitoring of pilots' physiological behavioral parameters, it is impossible to obtain the parameters of pilots' cognitive behavioral states. As a result, an objective and usable quantitative evaluation method has not yet been formed for this part. In terms of technical capabilities, the task performance is mainly quantified through the data feedback recorded by the airborne QAR, but the data selection process relies on manual experience, which still leads to a lack of confidence in the evaluation results.

[0082] In summary, the pilot competency assessment needs to break through the key technologies in four aspects: the construction of competency assessment index system, onboard pilot physiological data testing, identification and regulation of pilot cognitive behavioral state, and task performance quantification, and form a pilot competency standard assessment procedure and evaluation means based on objective data.

[0083] The evaluation and processing system for pilot suitability for flight missions provided in the embodiment of the present application is aimed at improving flight safety and performance capabilities, and targets key human factors that cause aviation accidents during flight. Based on the big data of pilot physiological and behavioral parameters, a proactive / preventive air-ground data-driven pilot competency assessment system is constructed to achieve integrated monitoring and evaluation of pilot mission flights before, during, and after the flight. A scientific portrait model is provided to prevent malicious manipulation, improve habitual violations and inadvertent omissions, correct flight illusions, and optimize flight mission performance. An automated and standardized evaluation platform is provided for the training effects of pilots throughout their life cycle, and support the customization of safety warnings and capability training for route flights.

[0084] Corresponding to the evaluation and processing system for evaluating the pilot's suitability for flight missions provided in the above-mentioned embodiment, the embodiment of the present application also provides an evaluation and processing method for evaluating the pilot's suitability for flight missions, such as Figure 4 As shown, the following steps may be included: Step 400, baseline loading. When the pilot puts on the test system before flight, the engineer completes the loading of the pilot's flight status baseline in the ground database. After putting on the system, the current status is connected to the database to complete the baseline status identification and start the pre-evaluation.

[0085] Step 410, pre-prediction. The pilot conducts subjective questions and answers, sports jumps and other behavioral activities according to the engineer's prompts. The pilot's competency status assessment module retrieves the current task complexity assessment results, and combines the psychological quality data of the real-time test to give the performance of the current task and determine whether the task should continue. After the pre-assessment is completed, if it is determined to perform the flight mission, its baseline data will be updated in the onboard system, the personal baseline will be adjusted to the latest status, and the mission execution environment will be entered.

[0086] Step 420: In-process monitoring. After the ground simulation mission or route flight mission begins, the pilot's physiological and psychological state monitoring and warning module successively conducts behavioral judgments based on the safety state identification model and the performance state identification model. The safety identification module is responsible for warning prompts, and the performance identification module is responsible for giving task authority adjustment suggestions based on the current cognitive behavior state and task performance state.

[0087] Step 430, post-flight evaluation: After the flight, the pilot task performance safety evaluation module combines the real-time results of the full task psychology and performance, automatically gives the competency range for the day, and proposes optimization suggestions.

[0088] Step 440: Baseline update: After all tasks are completed, the pilot's historical data is updated in the database to form the latest personal baseline.

[0089] The evaluation and processing system and method for pilots' suitability for flight missions provided in the embodiment of the present application is oriented to the training of pilots throughout their life cycle, and an objective and systematic training capability evaluation mechanism has been established to focus on the training of pilots' capabilities and optimize the pilots' professional role cycle; oriented to flight safety and performance, a technical means has been established to optimize safety effectiveness and mission effectiveness from the pilot dimension, which will reduce the incidence of human factors in flight accidents; oriented to human-machine hybrid intelligent decision-making, a human-machine authority allocation criterion based on psychological quality and mission performance has been established. Therefore, it has the following advantages: 1. For the first time, the human factors of the crew during flight were visualized, a human factors status data structure library based on the needs of human factors status identification was established, and the criteria for the use of customized status identification and judgment results of pilots were proposed, forming an identifiable model system to support flight safety monitoring and performance optimization.

[0090] 2. For the first time, a new competency evaluation index system based on objective data was constructed for pilot competency evaluation; 3. For the first time, the integration requirements and action patterns of the pilot wireless wearable real-time test system are proposed for the airborne flight environment and the crew human factors; 4. For the first time, the human status data and mission performance data of the crew before, during and after the flight were integrated, and a technical path for the integrated effect of data in three stages was constructed to optimize the control process of the crew status during the flight; 5. For the first time, a technical approach was proposed to integrate training data and route operation data, thus achieving an effective closed loop of data-driven and verification.

[0091] The present application also provides a pilot suitability for flight mission assessment processing device, such as Figure 6 As shown, including: The acquisition module 500 is used to acquire the flight status baseline of the target pilot when the target pilot can perform the target flight mission, and to acquire the flight status of the target pilot during the execution of the target flight mission using a flight status acquisition device; wherein the target pilot is a pilot pre-selected to perform the target flight mission, and the flight status baseline is a pre-established reference line for evaluating the flight status of the target pilot during the execution of the target flight mission; A judgment module 510 is used to judge whether the obtained flight status is abnormal and the degree of abnormality under abnormal conditions according to the obtained flight status baseline, and obtain a flight competency assessment result; The processing module 520 is used to process the obtained flight competency assessment result in a manner suitable for the obtained flight competency assessment result.

[0092] In an exemplary embodiment, the acquisition module 500 is further used to evaluate the pre-flight psychological state of the target pilot using a psychological testing device to obtain a first psychological state evaluation result; obtain a pre-flight psychological state baseline of the target pilot; and in response to a judgment result that the obtained first psychological state evaluation result is normal, obtain a complexity evaluation result of the target flight mission; The judgment module 510 is further used to judge whether the obtained first psychological state evaluation result is normal by using the obtained pre-flight psychological state baseline; wherein the pre-flight psychological state baseline of the target pilot is a pre-established baseline for evaluating the psychological state of the target pilot before the target flight mission is performed; and is further used to make an adaptability judgment on the obtained complexity evaluation result and the obtained first psychological state evaluation result in response to a judgment result that the obtained first psychological state evaluation result is normal; The situation in which the target pilot can perform the target flight mission is determined by judging whether the obtained complexity evaluation result and the obtained first psychological state evaluation result are compatible.

[0093] In one exemplary embodiment, the psychological testing device includes: an electrocardiographic testing sensor device and a facial expression monitoring device; The pre-flight psychological state includes: a pre-flight mental stress state and a pre-flight emotional state; wherein the pre-flight mental stress state is obtained based on data from an electrocardiogram test sensor device; the pre-flight emotional state is obtained based on data from an electrocardiogram test sensor device and data from a facial expression monitoring device; The pre-flight psychological state baseline includes: the pre-flight high-pressure psychological state baseline and the pre-flight abnormal emotional state baseline; the first psychological state evaluation result includes: the pre-flight mental stress state evaluation result and the pre-flight emotional state evaluation result; the judgment module 510 is used to: Use the obtained pre-flight high-pressure mental state baseline to determine whether the obtained pre-flight mental stress state assessment results are normal; The obtained abnormal pre-flight emotional state baseline is used to determine whether the obtained pre-flight emotional state is normal.

[0094] In an exemplary embodiment, the acquisition module 500 is further used to obtain a second psychological state evaluation result self-evaluated by the target pilot in response to a judgment result that the first psychological state evaluation result is abnormal; The processing module 520 is further configured to cancel the target flight mission of the target pilot when the obtained second psychological state evaluation result is consistent with the obtained first psychological state evaluation result.

[0095] In an exemplary embodiment, the processing module 520 is further configured to: In response to the obtained flight competency assessment result being that the flight status is abnormal, and the abnormality degree is a target level abnormality degree, a man-machine flight authority switching operation is performed within a range corresponding to the target level abnormality degree; wherein the target level abnormality degree is any level abnormality degree other than the highest level abnormality degree; In response to the obtained flight suitability assessment result that the flight status is abnormal and the degree of abnormality is the highest level of abnormality, a human-machine flight authority switching operation corresponding to the highest level of abnormality is performed, and the target flight mission is terminated.

[0096] In an exemplary embodiment, the processing module 520 is also used to update the flight status baseline using the flight status of the target pilot during the execution of the target flight mission when the target flight mission is completed or terminated, so as to obtain an updated flight status baseline as a baseline for evaluating the flight status of the target pilot during the next flight mission.

[0097] In an exemplary embodiment, when the target pilot is flying for the first time, the flight status baseline of the target pilot is obtained by: Simulate flight missions through ground simulators and obtain the flight status of target pilots when performing simulated flight missions; A flight status baseline of the target pilot is established based on the obtained flight status.

[0098] In an exemplary embodiment, the flight status includes: a safety-related flight status related to flight safety, and a performance-related flight status related to flight performance; the flight status baseline includes: a safety-related flight status baseline and a performance-related flight status baseline; the judgment module 510 is used to: Based on the obtained safety flight status baseline, it is judged whether the safety flight status of the target pilot during the execution of the target flight mission is abnormal and the degree of abnormality under abnormal circumstances. Based on the obtained performance flight status baseline, it is judged whether the performance flight status of the target pilot during the execution of the target flight mission is abnormal and the degree of abnormality under abnormal circumstances, and the flight competency assessment result is obtained.

[0099] In an exemplary embodiment, the flight status acquisition device includes: an electrocardiogram test sensor device, a facial expression monitoring device, an eye movement device, and a grip operation sensor device; Safety flight status includes: operational behavior status, flight perception status and emotional status during flight; performance flight status includes: situational awareness status, workload status and physical load status; The safety-related flight status baselines include: abnormal behavior status baseline, flight illusion status baseline, and abnormal emotion status baseline during flight. The performance-related flight status baselines include: lack of situational awareness status baseline, work overload status baseline, and fatigue status baseline.

[0100] In an exemplary embodiment, the determination module 510 is further configured to: Judging whether the obtained operational behavior state is abnormal and the degree of abnormality under abnormal circumstances based on the obtained abnormal behavior state baseline; judging whether the obtained flight perception state is abnormal and the degree of abnormality under abnormal circumstances based on the obtained flight illusion state baseline; judging whether the obtained emotional state in flight is abnormal and the degree of abnormality under abnormal circumstances based on the obtained abnormal emotional state baseline; judging whether the obtained situational awareness state is abnormal and the degree of abnormality under abnormal circumstances based on the obtained situational awareness lack state baseline; judging whether the obtained workload state is abnormal and the degree of abnormality under abnormal circumstances based on the obtained workload overload state baseline; judging whether the obtained body load state is abnormal and the degree of abnormality under abnormal circumstances based on the obtained fatigue state baseline; Among them, the operating behavior state is obtained based on the data from the grip operation sensor device and the data from the eye movement device; the flight perception state is obtained based on the data from the eye movement device; the emotional state in flight is obtained based on the data from the facial expression monitoring device and the data from the electrocardiogram test sensor device; the situational awareness state is obtained through the data from the electrocardiogram test sensor device and the data from the eye movement device; the workload state is obtained through the data from the eye movement device; and the body load state is obtained through the data from the electrocardiogram test sensor device and the data from the eye movement device.

[0101] The evaluation and processing device for pilot suitability for flight mission provided by the present application obtains the flight status baseline of the target pilot when the target pilot can perform the target flight mission, and uses the flight status acquisition device to obtain the flight status of the target pilot during the execution of the target flight mission; wherein the target pilot is a pilot pre-selected to perform the target flight mission, and the flight status baseline is a pre-established baseline for evaluating the flight status of the target pilot during the execution of the target flight mission; according to the obtained flight status baseline, it is judged whether the obtained flight status is abnormal and the degree of abnormality under abnormal conditions, and the flight suitability evaluation result is obtained; and a processing method suitable for the obtained flight suitability evaluation result is adopted for processing. Since it is possible to evaluate and process whether the pilot is suitable for the flight mission during flight, it is possible to timely discover abnormalities in the flight status, thereby improving the completion quality of the flight mission and improving flight safety.

[0102] The present application also provides an electronic device, such as Figure 6 As shown, it includes: a memory 600 and a processor 610; The memory 600 is connected to the processor 610 and is used to store programs; The processor 610 is used to implement the pilot suitability for flight mission assessment method described in the above embodiment by running the program in the memory 600 .

[0103] Specifically, the electronic device may further include: a bus, a communication interface 620 , an input device 630 and an output device 640 .

[0104] The processor 610, the memory 600, the communication interface 620, the input device 630 and the output device 640 are connected to each other via a bus. A bus may include a pathway that transfers information between components of a computer system.

[0105] The processor 610 may be a general-purpose processor, such as a general-purpose central processing unit (CPU), a microprocessor, etc., or an application-specific integrated circuit (ASIC), or one or more integrated circuits for controlling the execution of the program of the scheme of the present invention. It may also be a digital signal processor (DSP), an application-specific integrated circuit (ASIC), a field programmable gate array (FPGA) or other programmable logic devices, discrete gate or transistor logic devices, discrete hardware components.

[0106] The processor 610 may include a main processor, and may also include a baseband chip, a modem, and the like.

[0107] The memory 600 stores a program for executing the technical solution of the present invention, and may also store an operating system and other key services. Specifically, the program may include a program code, and the program code includes a computer operation instruction. More specifically, the memory 600 may include a read-only memory (ROM), other types of static storage devices that can store static information and instructions, a random access memory (RAM), other types of dynamic storage devices that can store information and instructions, a disk storage, a flash, and the like.

[0108] The input device 630 may include a device for receiving data and information input by a user, such as a keyboard, a mouse, a camera, a scanner, a light pen, a voice input device, a touch screen, a pedometer, or a gravity sensor.

[0109] Output device 640 may include a device that allows information to be output to a user, such as a display screen, printer, speaker, etc.

[0110] The communication interface 620 may include any transceiver or the like to communicate with other devices or communication networks, such as Ethernet, a radio access network (RAN), a wireless local area network (WLAN), etc.

[0111] The processor 610 executes the program stored in the memory 600 and calls other devices, which can be used to implement each step of the evaluation and processing method for a pilot's suitability for a flight mission provided in any of the above embodiments of the present application.

[0112] In addition to the above-mentioned methods and devices, an embodiment of the present application may also be a computer program product, which includes computer program instructions, which, when executed by a processor, enable the processor to execute the steps of the pilot suitability for flight tasks assessment and processing method according to various embodiments of the present application described in any of the above-mentioned embodiments of this specification.

[0113] The computer program product may be written in any combination of one or more programming languages ​​to write program codes for performing the operations of the embodiments of the present application, including object-oriented programming languages, such as Java, C++, etc., and conventional procedural programming languages, such as "C" language or similar programming languages. The program code may be executed entirely on the user computing device, partially on the user device, as an independent software package, partially on the user computing device and partially on a remote computing device, or entirely on a remote computing device or server.

[0114] In addition, an embodiment of the present application also provides a storage medium, on which a computer program is stored. When the computer program is executed by a processor, the evaluation and processing method for the pilot's suitability for flight mission described in any of the above embodiments is implemented.

[0115] For the aforementioned method embodiments, for the sake of simplicity, they are all described as a series of action combinations, but those skilled in the art should be aware that the present application is not limited by the order of the actions described, because according to the present application, some steps can be performed in other orders or simultaneously. Secondly, those skilled in the art should also be aware that the embodiments described in the specification are all preferred embodiments, and the actions and modules involved are not necessarily required by the present application.

[0116] It should be noted that each embodiment in this specification is described in a progressive manner, and each embodiment focuses on the differences from other embodiments, and the same or similar parts between the embodiments can be referred to each other. For the device embodiment, since it is basically similar to the method embodiment, the description is relatively simple, and the relevant parts can be referred to the partial description of the method embodiment.

[0117] The steps in the methods of each embodiment of the present application can be adjusted in order, combined and deleted according to actual needs, and the technical features recorded in each embodiment can be replaced or combined.

[0118] The modules and sub-modules in the devices and terminals of the various embodiments of the present application can be combined, divided and deleted according to actual needs.

[0119] In the several embodiments provided in the present application, it should be understood that the disclosed terminals, devices and methods can be implemented in other ways. For example, the terminal embodiments described above are only schematic, for example, the division of modules or submodules is only a logical function division, and there may be other division methods in actual implementation, for example, multiple submodules or modules can be combined or integrated into another module, 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 modules, which can be electrical, mechanical or other forms.

[0120] The modules or submodules described as separate components may or may not be physically separated, and the components of the modules or submodules may or may not be physical modules or submodules, that is, they may be located in one place, or they may be distributed on multiple network modules or submodules. Some or all of the modules or submodules may be selected according to actual needs to achieve the purpose of the solution of this embodiment.

[0121] In addition, each functional module or submodule in each embodiment of the present application may be integrated into one processing module, or each module or submodule may exist physically separately, or two or more modules or submodules may be integrated into one module. The above-mentioned integrated modules or submodules may be implemented in the form of hardware or in the form of software functional modules or submodules.

[0122] Professionals may further appreciate that the units and algorithm steps of each example described in conjunction with the embodiments disclosed herein can be implemented in electronic hardware, computer software, or a combination of the two. In order to clearly illustrate the interchangeability of hardware and software, the composition and steps of each example have been generally described in the above description according to function. Whether these functions are performed in hardware or software depends on the specific application and design constraints of the technical solution. Professionals and technicians may use different methods to implement the described functions for each specific application, but such implementation should not be considered to be beyond the scope of this application.

[0123] The steps of the method or algorithm described in conjunction with the embodiments disclosed herein may be implemented directly by hardware, software units executed by a processor, or a combination of the two. The software units may be placed in a random access memory (RAM), a memory, a read-only memory (ROM), an electrically programmable ROM, an electrically erasable programmable ROM, a register, a hard disk, a removable disk, a CD-ROM, or any other form of storage medium known in the art.

[0124] Finally, it should be noted that, in this article, relational terms such as first and second, etc. are only used to distinguish one entity or operation from another entity or operation, and do not necessarily require or imply any such actual relationship or order between these entities or operations. Moreover, the terms "include", "comprise" or any other variants thereof are intended to cover non-exclusive inclusion, so that a process, method, article or device including a series of elements includes not only those elements, but also other elements not explicitly listed, or also includes elements inherent to such process, method, article or device. In the absence of further restrictions, the elements defined by the sentence "comprise a ..." do not exclude the presence of other identical elements in the process, method, article or device including the elements.

[0125] The above description of the disclosed embodiments enables those skilled in the art to implement or use the present application. Various modifications to these embodiments will be apparent to those skilled in the art, and the general principles defined herein may be implemented in other embodiments without departing from the spirit or scope of the present application. Therefore, the present application will not be limited to the embodiments shown herein, but will conform to the widest scope consistent with the principles and novel features disclosed herein.

Claims

1. A method for evaluating and processing a pilot's suitability for a flight mission, characterized in that: include: In the case where the target pilot can perform the target flight mission, the flight status baseline of the target pilot is obtained, and the flight status of the target pilot during the execution of the target flight mission is obtained using a flight status acquisition device; wherein the target pilot is a pilot pre-selected to perform the target flight mission, and the flight status baseline is a pre-established reference line for evaluating the flight status of the target pilot during the execution of the target flight mission; Based on the obtained flight status baseline, determine whether the obtained flight status is abnormal and the degree of abnormality under abnormal conditions, and obtain the flight competency assessment result; Take a handling approach that is appropriate to the flight competency assessment results obtained.

2. The method according to claim 1, characterized in that: Before obtaining the flight status baseline of the target pilot and using a flight status acquisition device to obtain the flight status of the target pilot during the execution of the target flight mission, the method further includes: Using a psychological testing device to evaluate the pre-flight psychological state of the target pilot to obtain a first psychological state evaluation result; Acquire the pre-flight psychological state baseline of the target pilot, and use the obtained pre-flight psychological state baseline to determine whether the obtained first psychological state assessment result is normal; wherein the pre-flight psychological state baseline of the target pilot is a pre-established baseline for evaluating the psychological state of the target pilot before executing the target flight mission; In response to a judgment result that the obtained first psychological state evaluation result is normal, obtaining a complexity evaluation result of the target flight task, and performing a compatibility judgment on the obtained complexity evaluation result and the obtained first psychological state evaluation result; The condition that the target pilot can perform the target flight mission is determined by judging whether the obtained complexity evaluation result and the obtained first psychological state evaluation result are compatible.

3. The method according to claim 2, characterized in that The psychological testing equipment includes: electrocardiogram testing sensor equipment and facial expression monitoring equipment; The pre-flight psychological state includes: a pre-flight mental stress state and a pre-flight emotional state; wherein the pre-flight mental stress state is obtained based on data from the electrocardiogram test sensor device; the pre-flight emotional state is obtained based on data from the electrocardiogram test sensor device and data from the facial expression monitoring device; The pre-flight psychological state baseline includes: a pre-flight high-pressure mental state baseline and a pre-flight abnormal emotional state baseline; the first psychological state evaluation result includes: a pre-flight mental stress state evaluation result and a pre-flight emotional state evaluation result; The step of using the obtained pre-flight psychological state baseline to determine whether the obtained first psychological state evaluation result is normal includes: Use the obtained pre-flight high-pressure mental state baseline to determine whether the obtained pre-flight mental stress state assessment results are normal; The obtained abnormal pre-flight emotional state baseline is used to determine whether the obtained pre-flight emotional state is normal.

4. The method according to claim 2, characterized in that: The method further comprises: In response to a determination result that the first psychological state evaluation result is abnormal, obtaining a second psychological state evaluation result self-evaluated by the target pilot; When the obtained second psychological state evaluation result is consistent with the obtained first psychological state evaluation result, the target flight mission of the target pilot is canceled.

5. The method according to claim 1, characterized in that: The measures taken in accordance with the flight competency assessment results include: In response to the obtained flight competency assessment result being that the flight status is abnormal, and the abnormality degree is a target level abnormality degree, a man-machine flight authority switching operation is performed within a range corresponding to the target level abnormality degree; wherein the target level abnormality degree is any level abnormality degree other than the highest level abnormality degree; In response to the obtained flight competency assessment result being that the flight status is abnormal and the degree of abnormality is the highest level of abnormality, a human-machine flight authority switching operation corresponding to the highest level of abnormality is performed, and the target flight mission is terminated.

6. The method according to claim 1, characterized in that In the case where the target pilot is flying for the first time, the flight status baseline of the target pilot is obtained by: Simulating a flight mission through a ground simulator and obtaining the flight status of the target pilot when performing the simulated flight mission; A flight status baseline of the target pilot is established based on the obtained flight status.

7. The method according to claim 1, 5 or 6, characterized in that: The flight status includes: a safety-related flight status involving flight safety, and a performance-related flight status involving flight performance; the flight status baseline includes: a safety-related flight status baseline and a performance-related flight status baseline; The step of determining whether the obtained flight status is abnormal and the degree of abnormality under abnormal conditions according to the obtained flight status baseline, and obtaining the flight competency assessment result, includes: Based on the obtained safety flight status baseline, it is judged whether the safety flight status of the target pilot during the execution of the target flight mission is abnormal and the degree of abnormality under abnormal circumstances; based on the obtained performance flight status baseline, it is judged whether the performance flight status of the target pilot during the execution of the target flight mission is abnormal and the degree of abnormality under abnormal circumstances, to obtain the flight competency assessment result.

8. The method according to claim 7, characterized in that The flight status acquisition equipment includes: electrocardiogram test sensor equipment, facial expression monitoring equipment, eye movement equipment, and grip operation sensor equipment; The safety flight status includes: operational behavior status, flight perception status and in-flight emotional state; the performance flight status includes: situational awareness status, workload status and physical load status; The safety-related flight status baselines include: abnormal behavior status baseline, flight illusion status baseline, and abnormal emotion status baseline during flight; and the performance-related flight status baselines include: lack of situational awareness status baseline, work overload status baseline, and fatigue status baseline.

9. The method according to claim 8, characterized in that The step of judging whether the safety-related flight status of the target pilot during the execution of the target flight mission is abnormal and the degree of abnormality under abnormal circumstances according to the obtained safety-related flight status baseline includes: Judging whether the obtained operational behavior state is abnormal and the degree of abnormality under abnormal circumstances according to the obtained abnormal behavior state baseline; judging whether the obtained flight perception state is abnormal and the degree of abnormality under abnormal circumstances according to the obtained flight illusion state baseline; judging whether the obtained in-flight emotional state is abnormal and the degree of abnormality under abnormal circumstances according to the obtained in-flight abnormal emotional state baseline; The determining, based on the obtained performance flight status baseline, whether the performance flight status of the target pilot during the execution of the target flight mission is abnormal and the degree of abnormality under abnormal circumstances includes: Judging whether the obtained situational awareness state is abnormal and the degree of abnormality under abnormal conditions based on the obtained situational awareness deficiency state baseline; judging whether the obtained workload state is abnormal and the degree of abnormality under abnormal conditions based on the obtained workload overload state baseline; judging whether the obtained body load state is abnormal and the degree of abnormality under abnormal conditions based on the obtained fatigue state baseline; Among them, the operating behavior state is obtained based on the data from the grip operation sensor device and the data from the eye movement device; the flight perception state is obtained based on the data from the eye movement device; the in-flight emotional state is obtained based on the data from the facial expression monitoring device and the data from the electrocardiogram test sensor device; the situational awareness state is obtained through the data from the electrocardiogram test sensor device and the data from the eye movement device; the workload state is obtained through the data from the eye movement device; and the body load state is obtained through the data from the electrocardiogram test sensor device and the data from the eye movement device.

10. An electronic device, characterized in that: include: Memory and processor; The memory is connected to the processor and is used to store programs; The processor is used to implement the pilot suitability for flight mission assessment processing method as described in any one of claims 1-9 by running the program in the memory.

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