A Pilot Physiological State Monitoring and Control System Based on Brain-Computer Interaction

Abstract

The present invention relates to a pilot physiological state monitoring and control system based on brain-computer interaction, belonging to the field of brain-computer interaction, and solves the problems of the instability of signal acquisition, the complexity of real-time processing, and the practicality of wearable monitoring devices in the existing brain-computer interaction for aviation applications. It includes a head-mounted physiological monitoring module and a flight control center module; the head-mounted physiological monitoring module is used to monitor the physiological state of the pilot in real time, including blood volume pulse wave PPG signal, regional cerebral oxygen saturation rScO2, and six-axis acceleration signal data, and conduct risk early warning and flight state assessment based on the real-time monitoring data; the flight control center module is used to receive the risk early warning data of the pilot for flight control, store the physiological state data and physiological monitoring logs, provide visualization of the real-time risk early warning and flight state assessment results, and early warning voice broadcast to ensure flight safety. Safe flight is achieved.

Description

Technical Field

[0001] The present invention relates to the technical field of brain-computer interaction, and in particular to a monitoring and control system for the physiological state of pilots based on brain-computer interaction. Background Art

[0002] Brain-computer interaction technology is a revolutionary technology that directly establishes communication between the brain and external devices. With the increasing development of brain-computer interaction and brain-computer interface technology, by recording and decoding brain activities, it can be used to treat nervous system diseases, enhance the control efficiency of humans and devices, and even play a role in fields such as entertainment, education, military, and aviation. Among them, the application prospect of brain-computer interaction technology in the aviation field is very broad, and the main applications can be divided into two categories. The first category is to directly read brain signals to control aircraft or aviation equipment, thereby improving the safety and efficiency of operations; the second category is to be used to monitor the states of pilots such as attention and fatigue, and issue warnings in a timely manner when pilots are overly fatigued, thereby improving flight safety.

[0003] However, the first category of technology requires accurately interpreting brain nerve signals and converting these signals into instructions for the aircraft. This process involves complex algorithms and data processing. Machine learning algorithms need to quickly and accurately analyze signals such as electroencephalogram, but the complexity of this operation process may affect the accuracy and reliability of the system. In addition, since pilots need to wear flight helmets in the air and constantly turn their heads to scan instruments and observe the external scene of the cabin, it will seriously affect the accuracy of electroencephalogram signals, which makes the first category of brain-computer interaction technology for directly controlling aircraft unable to be practical all the time.

[0004] The second category of technology is relatively simple and only requires interpreting electroencephalogram or other brain information, and can be applied as long as fatigue or other adverse states can be identified. However, as mentioned above, most still use the method of electroencephalogram to collect brain information. If the method of invasive brain-computer interface is used to collect electroencephalogram, it will cause skin damage or infection, which is obviously inappropriate for pilots who need to fly for a long time. Another method is to use devices such as dry electrodes or active electrodes for measurement, but these electrodes are greatly affected by movement, and a large number of artifacts will appear even with a slight head movement, resulting in inaccurate measurement.

[0005] The application of existing brain-computer interaction technology in the aviation field faces many challenges, including problems such as insufficient real-time performance, poor signal stability, and insufficient practicality of wearable devices. These limiting factors have hindered the practical process of brain-computer interaction technology in improving the safety of flight operations. Summary of the Invention

[0006] In view of the above analysis, the embodiments of the present invention aim to provide a pilot physiological state monitoring and control system based on brain-computer interaction to solve the technical problems that the existing brain-computer interaction in aviation is limited by the instability of signal acquisition, the complexity of real-time processing, and the practicability of wearable monitoring devices.

[0007] The present invention provides a pilot physiological state monitoring and control system based on brain-computer interaction, including a head-mounted physiological monitoring module and a flight control center module;

[0008] The head-mounted physiological monitoring module is used to monitor the physiological state of the pilot in real time, including blood volume pulse wave PPG signal, regional cerebral oxygen saturation rScO2, and six-axis acceleration data, and perform risk warning and flight state assessment based on the real-time monitoring data;

[0009] The flight control center module is used to receive the risk warning data of the pilot for flight control, store the physiological state data and physiological monitoring logs, provide visualization of real-time risk warning and flight state assessment results, and warning voice broadcast to ensure flight safety.

[0010] Further, the head-mounted physiological monitoring module includes a blood oxygen emission module, a blood oxygen reception module, a six-axis acceleration module, a signal processing chip, and a Bluetooth transmission chip;

[0011] The blood oxygen emission module is used to emit near-infrared light;

[0012] The blood oxygen reception module includes a first and a second blood oxygen reception module, which are respectively used to receive the near-infrared light reflected by the human cerebral cortex tissue. The receiver of the first blood oxygen reception module closer to the blood oxygen emission module obtains the blood volume pulse wave PPG signal through the change in the intensity of the received near-infrared light; the receiver of the second blood oxygen reception module farther from the blood oxygen emission module calculates the ratio of oxyhemoglobin to total hemoglobin of the different wavelengths of light it receives to obtain the regional cerebral oxygen saturation rScO2;

[0013] The six-axis acceleration module is used to obtain the rotational accelerations of the pilot on the three rotation axes of X, Y, and Z and the linear accelerations a x 、a y 、a z ;

[0014] The signal processing chip is used to perform rScO2 risk warning, Coriolis illusion risk warning, and flight state assessment on the pilot in real time based on the pilot's blood volume pulse wave PPG signal, regional cerebral oxygen saturation rScO2, and six-axis acceleration data;

[0015] The Bluetooth transmission chip is used to transmit the rScO2 risk warning, Coriolis illusion risk warning and flight status assessment results of the pilot to the flight control center module, and to the airport tower control module through the connected data link.

[0016] Further, the flight control center module includes a flight control module, a data storage module, a visualization module and a warning voice broadcast module;

[0017] The flight control module is used to perform flight assistance operations based on the rScO2 risk warning and Coriolis illusion risk warning of the pilot;

[0018] The data storage module is used to store real-time physiological state data, physiological monitoring logs and warning logs;

[0019] The visualization module is used to display the pilot's photoplethysmogram (PPG) signal, regional cerebral oxygen saturation (rScO2) and six-axis acceleration data in real time, as well as the corresponding warning and flight status assessment results;

[0020] The warning voice broadcast module is used to broadcast the rScO2 risk warning and Coriolis illusion risk warning of the pilot's regional cerebral oxygen saturation.

[0021] Further, the head-mounted physiological monitoring module further includes a battery, a quick-release buckle and a main board;

[0022] The battery is used to supply power to each module in the head-mounted physiological monitoring module;

[0023] The quick-release buckle is located on both sides of the head-mounted physiological monitoring module and is used to quickly connect the elastic headband;

[0024] The main board is used to integrate each module in the head-mounted physiological monitoring module.

[0025] Further, based on the pilot's photoplethysmogram (PPG) signal, regional cerebral oxygen saturation (rScO2) and six-axis acceleration data, the signal processing chip performs real-time rScO2 risk warning, Coriolis illusion risk warning and flight status assessment on the pilot, including:

[0026] Predetermine the regional cerebral oxygen saturation (rScO2) reference value of the pilot to be evaluated;

[0027] During the flight, monitor the pilot's photoplethysmogram (PPG) signal, regional cerebral oxygen saturation (rScO2) and six-axis acceleration signal data;

[0028] Based on the local cerebral oxygen saturation rScO2 reference value and the local cerebral oxygen saturation rScO2, calculate the offset ratio of rScO2 in real time

[0029] Based on the offset ratio and the six-axis acceleration signal data, perform real-time rScO2 risk warning and Coriolis illusion risk warning on the pilot respectively; the flight control module performs flight assistance operations based on the rScO2 risk warning;

[0030] Based on the real-time heart rate HR of the pilot obtained from the blood volume pulse wave PPG signal, and the offset ratio and the six-axis acceleration signal data, obtain the flight state evaluation result of the pilot in real time.

[0031] Furthermore, the flight control module performs flight assistance operations based on the rScO2 risk warning and Coriolis illusion risk warning of the pilot, including:

[0032] When output the result "Good oxygen supply";

[0033] When output the result "Mild hypoxia";

[0034] When output the result "Moderate hypoxia, close attention required", and the flight control module forcibly supplies oxygen to the pilot;

[0035] When output the result "Severe hypoxia, take action", and the flight control module levels the aircraft automatically and forcibly supplies oxygen to the pilot;

[0036] wherein, i and j are preset values;

[0037] When any two or three of the rotational accelerations are simultaneously greater than the preset threshold, the signal processing chip determines that the pilot has a risk of Coriolis illusion, and at the same time the flight control module levels the aircraft automatically.

[0038] Furthermore, the signal processing chip obtains the flight state evaluation result of the pilot in real time based on the real-time heart rate HR of the pilot, and the offset ratio and the six-axis acceleration data, including:

[0039] Based on the real-time heart rate HR, obtain the average value, maximum value, and minimum value of the heart rate from the start of takeoff to the current moment of the pilot, and calculate the flight proficiency of the pilot in real time;

[0040] Based on the maximum and average heart rates at the current moment, calculate the flight stress of the pilot in real time;

[0041] Based on the offset ratio Conduct segmented judgment to obtain the flight fatigue degree of the pilot in real time;

[0042] Based on the maximum and minimum heart rates at the current moment, calculate the flight stability of the pilot in real time;

[0043] Based on the monitored linear acceleration a z , calculate the aircraft load value, and then obtain the maximum and minimum aircraft load values from the start of takeoff to the current moment of the pilot;

[0044] Based on the maximum aircraft load value at the current moment, calculate the flight training intensity of the pilot in real time;

[0045] Based on the maximum and minimum aircraft load values at the current moment, calculate the flight training difficulty of the pilot in real time.

[0046] Furthermore, the visualization module uses a radar chart to output and display the flight status evaluation result of the pilot in real time; wherein, the radar chart includes six axes, each axis represents a dimension, and the data points on the axis are the performance levels of the pilot in that dimension;

[0047] Each axis of the radar chart is preset with a corresponding threshold value as the benchmark threshold for the six dimensions during the flight of each pilot for evaluation, and the visualization module intuitively displays the flight status evaluation result.

[0048] Furthermore, the flight proficiency of the pilot is calculated as follows:

[0049]

[0050] Wherein, S fami is the flight proficiency of the pilot; HR max and HR min are respectively the average heart rate during the flight of the pilot, the maximum and minimum heart rates at the current moment;

[0051] The flight stress of the pilot is calculated as follows:

[0052]

[0053] Wherein, S tens is the flight stress of the pilot;

[0054] The flight fatigue degree of the pilot is calculated as follows:

[0055]

[0056] Among them, S fati is the flight fatigue degree of the pilot;

[0057] The flight stability of the pilot is calculated as follows:

[0058]

[0059] Among them, S stab is the flight stability of the pilot;

[0060] The flight training intensity of the pilot is calculated as follows:

[0061]

[0062] Among them, S stre is the flight training intensity of the pilot, and G max is the maximum load value of the aircraft at the current moment;

[0063] The flight training difficulty of the pilot is calculated as follows:

[0064]

[0065] Among them, S diff is the flight training difficulty of the pilot, and G min is the minimum load value of the aircraft at the current moment.

[0066] Furthermore, the signal processing chip pre-determines the local cerebral oxygen saturation rScO2 reference value of the pilot to be evaluated, including:

[0067] Before the flight starts, measure the local cerebral oxygen saturation rScO2 physiological state data of the pilot to be evaluated for m minutes, obtain the continuous change data of rScO2 within m minutes, and take the average value to obtain the local cerebral oxygen saturation rScO2 reference value Among them, m is a preset value;

[0068] The signal processing chip measures the interval between the P peaks of the PPG signal based on the monitored blood volume pulse wave PPG signal, obtains the time interval PPI between the P peaks, and calculates the real-time heart rate HR of the pilot based on the PPI, as follows:

[0069]

[0070] Based on the linear acceleration a z , calculate the aircraft load value G in real time, as follows:

[0071]

[0072] Among them, g is the acceleration due to gravity.

[0073] Compared with the prior art, the present invention can achieve at least one of the following beneficial effects:

[0074] 1. By using the head-mounted physiological monitoring module to continuously monitor the physiological state of the pilot, including blood volume pulse wave signal, regional cerebral oxygen saturation and six-axis acceleration data, the present invention can timely issue risk warnings and Coriolis illusion risk warnings. Based on the risk warning data, the flight control center module can perform real-time flight assistance operations, such as automatically leveling the aircraft, reducing speed, and actively supplying oxygen to the pilot, so as to prevent flight accidents caused by pilot fatigue or illusion, and significantly improve flight safety; Since there is a certain time delay for the ground tower controller to receive the risk warning data, direct brain-computer interaction is carried out to avoid the risk of flight accidents that may occur when the ground tower controller takes measures after receiving the risk warning data;

[0075] 2. The present invention adopts a non-invasive head-mounted physiological monitoring module, which avoids the risk of skin damage or infection that may be brought by traditional invasive brain-computer interfaces. At the same time, the monitoring data is transmitted to the flight control center module in real time through a Bluetooth transmission chip, enhancing the real-time performance and accuracy of flight operations;

[0076] 3. In the present invention, the flight control center module can not only perform flight assistance operations based on physiological monitoring data, but also display the physiological state of the pilot and the evaluation results of the flight state in real time through a visualization module, and conduct voice warnings through a warning voice broadcast module, which helps the pilot better master his own state, optimize flight operations, and improve the efficiency and effect of flight training. In addition, the present invention can also evaluate the flight proficiency, tension, fatigue, etc. of the pilot, provide a scientific basis for pilot training, and optimize the flight experience and flight training effect of the pilot.

[0077] In the present invention, the above technical solutions can also be combined with each other to achieve more preferred combination solutions. Other features and advantages of the present invention will be described in the following description, and some advantages can be made obvious from the description, or understood by implementing the present invention. The objectives and other advantages of the present invention can be achieved and obtained through the content specifically pointed out in the description and the drawings. BRIEF DESCRIPTION OF THE DRAWINGS

[0078] The drawings are only for the purpose of showing specific embodiments and are not considered as limiting the present invention. Throughout the drawings, the same reference numerals represent the same components.

[0079] Figure 1 It is a schematic diagram of a module for monitoring and controlling the physiological state of a pilot based on brain-computer interaction in an embodiment of the present invention;

[0080] Figure 2 Structural schematic diagram of the monitoring device in the embodiment of the present invention;

[0081] Figure 3 Flow chart of monitoring the pilot's in-air physiological state, early warning of local cerebral oxygen saturation risk, early warning of Coriolis illusion risk, and flight state assessment in the embodiment of the present invention;

[0082] Figure 4 Outer shape and inner structure of the head-mounted physiological monitoring module in the embodiment of the present invention;

[0083] Figure 5 Schematic diagram of six-axis acceleration of the pilot's head in the embodiment of the present invention;

[0084] Figure 6 Example diagram of outputting and displaying the six-dimensional flight level assessment result using a six-dimensional radar chart in the embodiment of the present invention. Specific implementation manners

[0085] The following will specifically describe the preferred embodiments of the present invention in conjunction with the accompanying drawings. The accompanying drawings form a part of this application and are used together with the embodiments of the present invention to explain the principle of the present invention, rather than to limit the scope of the present invention.

[0086] During the pilot's flight, since the head swing amplitude is small and the forehead is more convenient to measure, the use of forehead PPG signal monitoring in the present invention has certain convenience advantages. Using a head-mounted physiological monitoring module to obtain the real-time heart rate HR based on the PPG signal helps to collect cardiac signals to monitor changes in the pilot's alertness level. At the same time, existing research shows that changes in the heart rate HR can be used as a potential predictor of fatigue onset, indicating that the head-mounted physiological monitoring sensor can be used to monitor changes in workload or stress during flight training or flight tasks. It can be used to accelerate the training of flight cadets. When flight fatigue is relatively severe, training can be suspended, thereby reducing training costs and the continuous psychological and physiological stress of pilots.

[0087] It can also help the commander understand the fatigue state of the pilot during the flight mission, conduct real-time diagnosis and decision-making, and thus reasonably adjust and allocate the task intensity to make the flight mission more efficient.

[0088] Based on the head-mounted sensor, physiological state data of the pilot's brain (including blood volume pulse wave PPG signal, local cerebral oxygen saturation rScO2) and six-axis acceleration data are obtained. Based on the real-time monitoring data, risk early warning and flight state assessment are carried out. The obtained physiological state data of the pilot's brain are interacted with the flight control central module of the aircraft in real time. The flight control central module obtains the local cerebral oxygen saturation and Coriolis illusion risk early warning based on the brain physiological state, and performs flight assistance operations in real time.

[0089] Since oxyhemoglobin and deoxyhemoglobin in the blood have different absorption spectra in the red light and near-infrared light regions, the PPG signal has also become a simple and effective method for studying the blood oxygen state. When measuring the PPG signal on the forehead, rScO2 (regional cerebral oxygen saturation) can be obtained synchronously. rScO2 measures the local cerebral blood oxygen changes in the frontal cortex brain tissue, reflecting the balance of cerebral tissue oxygen supply. Compared with measuring arterial blood oxygen saturation at the nail, it can better reflect the brain hypoxia state of the pilot and the changes in the pilot's brain cognitive function. In addition, during long flights, the pilot's brain will experience slow hypoxia, resulting in a decrease in the local cerebral oxygen saturation rScO2, which may cause flight accidents. The flight control center module performs flight assistance operations, such as automatically leveling the aircraft and forcing oxygen supply to the pilot, which can effectively avoid the occurrence of flight accidents.

[0090] A specific embodiment of the present invention discloses a pilot physiological state monitoring and control system based on brain-computer interaction, as Figure 1 shown, including a head-mounted physiological monitoring module and a flight control center module;

[0091] The head-mounted physiological monitoring module is used to monitor the physiological state of the pilot in real time, including the blood volume pulse wave PPG signal, the local cerebral oxygen saturation rScO2, and six-axis acceleration data, and perform risk early warning and flight state assessment based on the real-time monitoring data;

[0092] The flight control center module is used to receive the risk early warning data of the pilot for flight control, store the physiological state data and physiological monitoring logs, provide visualization of the real-time risk early warning and flight state assessment results, and early warning voice broadcast to ensure flight safety.

[0093] As Figure 2 shown in the monitoring device structure, it consists of a head-mounted physiological monitoring module, a flight control center module, a tower control module, and a data link between the aircraft and the tower control module.

[0094] The present invention mainly relates to a head-mounted physiological monitoring module and a flight control center module.

[0095] The head-mounted physiological monitoring module is internally provided with a six-axis acceleration sensor, a blood oxygen pulse wave sensor (including a near-infrared blood oxygen emission module, two near-infrared blood oxygen receiving modules, namely the first blood oxygen receiving module and the second blood oxygen receiving module), a battery, a main board, a signal processing chip, a Bluetooth transmission chip, and quick-release buckle structures on both sides, as Figure 4 shown in the schematic diagrams of the outer side and the inner side of the headband.

[0096] The head-mounted physiological monitoring module includes a blood oxygen emission module, a blood oxygen reception module, a six-axis acceleration module, a signal processing chip, and a Bluetooth transmission chip;

[0097] The blood oxygen emission module is used to emit near-infrared light;

[0098] The blood oxygen reception module includes a first and a second blood oxygen reception module, which are respectively used to receive the near-infrared light reflected by the human cerebral cortex tissue. The receiver of the first blood oxygen reception module closer to the blood oxygen emission module obtains the photoplethysmogram (PPG) signal through the change in the intensity of the received near-infrared light; the receiver of the second blood oxygen reception module farther from the blood oxygen emission module calculates the ratio of oxyhemoglobin to total hemoglobin for the different wavelengths of light it receives to obtain the regional cerebral oxygen saturation (rScO2);

[0099] The six-axis acceleration module is used to obtain the rotational accelerations of the pilot along the three rotational axes of X, Y, and Z and the linear accelerations a x 、a y 、a z ;

[0100] The signal processing chip is used to perform real-time rScO2 risk warning, Coriolis illusion risk warning, and flight state assessment on the pilot based on the pilot's photoplethysmogram (PPG) signal, regional cerebral oxygen saturation (rScO2), and six-axis acceleration data;

[0101] The Bluetooth transmission chip is used to transmit the rScO2 risk warning, Coriolis illusion risk warning, and flight state assessment results of the pilot to the flight control central module, and to transmit them to the airport tower control module through the connected data link.

[0102] The head-mounted physiological monitoring module further includes a battery, a quick-release buckle, and a main board;

[0103] The battery is used to supply power to each module in the head-mounted physiological monitoring module;

[0104] The quick-release buckle is located on both sides of the head-mounted physiological monitoring module and is used to quickly connect to the elastic headband;

[0105] The main board is used to integrate each module in the head-mounted physiological monitoring module.

[0106] The head-mounted physiological monitoring module is worn on the pilot's forehead and is quickly fixed by an elastic headband with appropriate tightness connecting the quick-release buckles on both sides.

[0107] The signal processing chip calculates the monitored data in real time according to a preset algorithm to obtain the physiological state of the pilot and the completion of the flight mission, and then understands the real-time physiological state of the pilot in the air and the execution state of the flight mission. When encountering dangerous situations such as rScO2 risk warnings and Coriolis illusion risk warnings, the flight control center module can quickly react based on the pilot's physiological state data and risk warning situations and perform flight assistance operations.

[0108] The blood oxygen pulse wave sensor includes a blood oxygen emission module and first and second blood oxygen reception modules;

[0109] As Figure 4 shown, the blood oxygen emission module is located inside the quick-release buckle on the inner right part of the head-mounted physiological monitoring module; the first blood oxygen reception module and the second blood oxygen reception module are arranged from right to left. The first blood oxygen reception module is located at the proximal end of the blood oxygen emission module, and the second blood oxygen reception module is located at the distal end of the blood oxygen emission module, inside the quick-release buckle on the left part;

[0110] The first blood oxygen reception module receives the optical signals reflected from the brain skin surface and superficial tissues. These optical signals reflect the blood volume changes in the superficial blood vessels and are commonly used to monitor the PPG signal. The PPG signal is measured by photoplethysmography;

[0111] The second blood oxygen reception module is located at the distal end of the blood oxygen emission module and receives optical signals that include not only the light reflected from the brain superficial tissues but also the light projected from deeper tissues (such as brain muscles, brain tissues, etc.). This projected optical signal is used to measure the local blood oxygen saturation of the brain.

[0112] The measuring device for the PPG signal includes at least one infrared emitter and one receiver (or multiple receivers) and can detect the relative blood volume changes in the blood vessels of the peripheral tissues of the brain. Its principle is to irradiate the skin of a specified part with light of a specific wavelength and then receive the transmitted light or reflected light using the transmission or reflection principle. Due to the absorption and attenuation effects of the skin, muscles, and blood, the light intensity monitored by the receiver of the first blood oxygen reception module will attenuate. The blood volume pulse wave PPG signal is obtained by photoplethysmography (PPG). The PPG signal is synchronized with the cardiac cycle and reflects the periodic changes in the blood volume of the brain.

[0113] The blood oxygen emission module emits near-infrared light, and the first and second blood oxygen reception modules receive the reflected and projected optical signals respectively; using the absorption characteristics of oxyhemoglobin and reduced hemoglobin for light of different wavelengths, the concentrations of oxyhemoglobin and reduced hemoglobin are calculated; based on the concentrations of oxyhemoglobin and reduced hemoglobin, the local blood oxygen saturation of the pilot's brain is calculated;

[0114] The emitter of the blood oxygen emission module emits near-infrared light of a specific frequency on the forehead of the pilot. The near-infrared light penetrates the brain skin and tissues and is absorbed by hemoglobin in the blood.

[0115] The receivers of the first and second blood oxygen reception modules respectively receive the near-infrared light reflected and transmitted back by the brain cortex tissue on the pilot's forehead. The receiver of the first blood oxygen reception module closer to the blood oxygen emission module obtains the photoplethysmogram (PPG) signal of the blood volume pulse through the change in the intensity of the received near-infrared light.

[0116] The receiver of the second blood oxygen reception module farther from the blood oxygen emission module can subtract the intensity of the near-infrared light it receives from the intensity of the near-infrared light received by the receiver closer to the blood oxygen emission module, calculate the concentrations of oxyhemoglobin and deoxyhemoglobin, obtain the ratio of oxyhemoglobin to total hemoglobin in the cerebral cortex, and obtain the regional cerebral oxygen saturation (rScO2).

[0117] In the blood oxygen saturation monitoring device, the two specific frequencies (wavelengths) commonly used are:

[0118] (1) 660 nanometers (red light): This wavelength is mainly absorbed by oxyhemoglobin (oxygenated hemoglobin).

[0119] (2) 940 nanometers (near-infrared light): This wavelength is mainly absorbed by deoxyhemoglobin (reduced hemoglobin).

[0120] Exemplarily, near-infrared light of 940 nanometers is used in the present invention.

[0121] The six-axis acceleration module monitors the six-axis acceleration signal data of the three rotation axes of X, Y, and Z, including the rotational accelerations in the three axial directions and the linear accelerations a x 、a y 、a z ; as Figure 5 shown.

[0122] The battery is placed between the two blood oxygen reception modules respectively to supply power to each module in the head-mounted physiological monitoring module;

[0123] The built-in Bluetooth transmission chip and signal processing chip on the main board are mainly used for data analysis, processing, and transmission.

[0124] The two sides of the head-mounted physiological monitoring module are provided with quick-release buckles that are convenient for disassembly and assembly. The pilot can easily and quickly install the monitoring module on the headband, or quickly and conveniently remove it when monitoring is not required. The elastic band can be replaced quickly.

[0125] The head circumferences of different pilots are different, and different headband sizes or styles are required. The quick-release buckles allow the pilot to conveniently replace the headband according to their own needs.

[0126] The flight control central module includes a flight control module, a data storage module, a visualization module, and an early warning voice broadcast module;

[0127] The flight control module is used to perform flight assistance operations based on the rScO2 risk warning and the Coriolis illusion risk warning of the pilot;

[0128] The data storage module is used to store real-time physiological state data, physiological monitoring logs, and early warning logs;

[0129] The visualization module is used to display the pilot's blood volume pulse wave PPG signal, regional cerebral oxygen saturation rScO2, and six-axis acceleration data in real time, as well as the corresponding early warning and flight status evaluation results;

[0130] The early warning voice broadcast module is used to broadcast the rScO2 risk warning and the Coriolis illusion risk warning of the pilot's regional cerebral oxygen saturation rScO2 by voice.

[0131] The head-mounted physiological monitoring module and the flight control central module perform real-time interaction based on the brain physiological data.

[0132] Such as Figure 3 As shown, the signal processing chip performs real-time rScO2 risk warning, Coriolis illusion risk warning, and flight status evaluation on the pilot based on the pilot's blood volume pulse wave PPG signal, regional cerebral oxygen saturation rScO2, and six-axis acceleration data, including:

[0133] Step S1: Predetermine the regional cerebral oxygen saturation rScO2 reference value of the pilot to be evaluated;

[0134] Step S2: During the flight, monitor the pilot's blood volume pulse wave PPG signal, regional cerebral oxygen saturation rScO2, and six-axis acceleration signal data;

[0135] Based on the regional cerebral oxygen saturation rScO2 reference value and the regional cerebral oxygen saturation rScO2 physiological state data, calculate the offset ratio of rScO2 in real time

[0136] Step S3: Based on the offset ratio And the six-axis acceleration signal data, perform rScO2 risk warning and Coriolis illusion risk warning on the pilot in real time respectively; the flight control module performs flight assistance operations based on the rScO2 risk warning;

[0137] Based on the real-time heart rate HR of the pilot obtained from the blood volume pulse wave PPG signal, and the offset ratio and six-axis acceleration signal data to obtain the flight status evaluation result of the pilot in real time.

[0138] Step S1: The signal processing chip pre-determines the local cerebral oxygen saturation rScO2 reference value of the pilot to be evaluated, including:

[0139] Before the flight starts, the blood oxygen emission module and the blood oxygen reception module measure the local cerebral oxygen saturation rScO2 physiological state data of the pilot to be evaluated for m minutes, obtain the continuous change data of rScO2 within m minutes, and take the average value to obtain the local cerebral oxygen saturation rScO2 reference value where m is a preset value.

[0140] Exemplarily, m is 5 minutes. It can be set according to the specific requirements of the actual flight mission.

[0141] Step S2 is divided into steps S21 - S22, specifically.

[0142] Step S21: During the flight, the blood oxygen emission module and the blood oxygen reception module monitor the pilot's photoplethysmogram PPG signal and local cerebral oxygen saturation rScO2 physiological state data, and the six-axis acceleration module monitors the pilot's six-axis acceleration data;

[0143] The receiver of the blood oxygen reception module closer to the blood oxygen emission module obtains the photoplethysmogram PPG signal through the change in the intensity of the received near-infrared light;

[0144] The receiver of the blood oxygen reception module farther from the blood oxygen emission module subtracts the intensity of the near-infrared light it receives from the intensity of the near-infrared light received by the receiver closer to the emission module to obtain the cerebral cortex blood oxygen condition, that is, the local cerebral oxygen saturation rScO2;

[0145] The six-axis acceleration module receives the six-axis acceleration data in real time. The six-axis acceleration data includes the rotational accelerations of the three rotational axes X, Y, and Z and the linear accelerations a x 、a y 、a z .

[0146] Step S22: The signal processing chip calculates the offset ratio of rScO2 in real time based on the local cerebral oxygen saturation rScO2 reference value local cerebral oxygen saturation rScO2 physiological state data

[0147] The regional cerebral oxygen saturation rScO2 represents the regional cerebral blood oxygen changes in the frontal cortex of the brain, reflecting the balance of cerebral tissue oxygen supply. It can directly, continuously, and non-invasively monitor the brain's hypoxia status. Compared with measuring arterial oxygen saturation at the nail, it can better reflect the brain hypoxia status of pilots and the changes in brain cognitive function. In addition, when a pilot experiences a head-to-foot load during flight, the pilot's body blood accumulates in the lower extremities under the action of the load, resulting in severe ischemia and hypoxia in the head, manifested as a decline in cognitive function, and in severe cases, it can lead to blackout or grayout.

[0148] Based on the reference value of the regional cerebral oxygen saturation rScO2 and the physiological state data of the regional cerebral oxygen saturation rScO2, calculate the offset ratio of rScO2 in real time As shown in formula (1):

[0149]

[0150] Wherein, is the rScO2 of the pilot monitored in real time.

[0151] Step S3 includes steps S31 - S33, specifically.

[0152] Step S31: The signal processing module performs real-time rScO2 risk warning on the pilot based on the reference value of the regional cerebral oxygen saturation rScO2 and the monitored physiological state data of the regional cerebral oxygen saturation rScO2; the flight control module performs flight assistance operations based on the rScO2 risk warning;

[0153] The signal processing chip performs real-time rScO2 risk warning on the pilot based on the offset ratio The flight control module performs flight assistance operations based on the pilot's rScO2 risk warning and the Coriolis illusion risk warning, including:

[0154] When the output result is "Good oxygen supply";

[0155] When the output result is "Mild hypoxia";

[0156] When the output result is "Moderate hypoxia, pay close attention", and the flight control module forcibly supplies oxygen to the pilot;

[0157] When the output result is "Severe hypoxia, take action", and the flight control module levels the aircraft automatically and forcibly supplies oxygen to the pilot;

[0158] Wherein, i and j are preset values;

[0159] When the rotational acceleration When any two or three of them are simultaneously greater than a preset threshold, the signal processing chip determines that the pilot has a risk of Coriolis illusion, and at the same time, the flight control module levels the aircraft automatically.

[0160] The preset values i and j are set according to specific flight requirements; for example, i = 5 and j = 10, and the output is as follows:

[0161] When the output result is "Oxygen supply is good";

[0162] When the output result is "Mild hypoxia";

[0163] When the output result is "Moderate hypoxia, pay close attention";

[0164] When the output result is "Severe hypoxia, take action".

[0165] The risk warning data is also connected to the data link through the Bluetooth transmission chip and synchronized to the ground airport tower command module. Due to the time delay between them, it takes a certain amount of time for the ground commander to understand the hypoxia state of the pilot's cerebral cortex.

[0166] When "Moderate hypoxia, pay close attention" or "Severe hypoxia, take action" appears, the flight control module in the flight control center module resolutely takes measures such as leveling the aircraft automatically and giving the pilot a forced oxygen supply command to avoid the occurrence of flight accidents;

[0167] Local cerebral oxygen saturation deviation ratio The division method, that is, 5% and 10% here, can be reset by the commander according to the specific requirements of the flight mission. Therefore, when performing some large-load or long-duration flight missions, the value of the pilot's real-time monitoring can become lower than that of normal flight missions.

[0168] Based on the six-axis acceleration signal data, the signal processing chip makes a real-time Coriolis illusion risk warning judgment on the pilot. When it is determined that the pilot has a risk of Coriolis illusion, the flight control module can level the aircraft automatically to avoid the occurrence of flight accidents; at the same time, the warning voice broadcast module conducts a risk warning broadcast. The ground tower commander receives the Coriolis illusion risk warning data of the pilot with a certain time delay and further observes the flight condition of the aircraft, and can further adjust the flight state of the aircraft or change the flight mission.

[0169] During flight, when the aircraft rotates about a rotation axis (such as in a spiral, roll, or helix), if the pilot's head also rotates simultaneously, or when the aircraft rotates about two or three axes simultaneously (such as during acrobatic maneuvers like a half-loop roll), the pilot's head will acquire a special acceleration, known as the Coriolis acceleration. The combined sensation of tumbling, rolling, or spinning that the pilot experiences under the action of this acceleration is called the Coriolis illusion. After the Coriolis illusion occurs, symptoms such as dizziness, sweating, pallor, nausea, and vomiting will appear successively according to the severity, and even fainting may occur, seriously affecting flight safety.

[0170] The early warning of the Coriolis illusion has always been a difficult problem in illusion early warning because the Coriolis illusion is caused by the combined movement of the pilot's head and the aircraft, and it cannot be warned solely based on flight parameters (i.e., the acceleration of the aircraft). The six-axis acceleration sensor of the present invention measures the six-axis acceleration of the head. As Figure 5 shown, that is, whether it is the movement of the head or the movement of the aircraft, it can be effectively measured. And because the measurement is on the head, it is closer to the acceleration of the semicircular canals in the vestibular system. Therefore, it is ensured that the six-axis acceleration signal data measured is closer to the acceleration perceived by the human body.

[0171] When any two or three of the rotational accelerations are simultaneously greater than a preset threshold, it is determined that the pilot is at risk of the Coriolis illusion.

[0172] Exemplarily, the preset threshold is 1° / s 2 .

[0173] where ° / s 2 is the unit of angular acceleration. When any one of them rotates, the pilot will not have the Coriolis illusion. When any two of them rotate simultaneously, or when all three rotate and are greater than 1° / s 2 , the pilot will have the Coriolis illusion.

[0174] Regardless of whether the pilot has severe dizziness at this time, immediately directly output the risk warning information of the result "the Coriolis illusion has occurred"; at this time, the command post makes a comprehensive judgment based on the flight mission situation and the local cerebral oxygen saturation level, and directly takes actions such as leveling off or issuing an instruction to terminate the flight mission.

[0175] Step S32: The signal processing chip obtains the real-time flight state evaluation result of the pilot based on the pilot's real-time heart rate HR, as well as the offset ratio and the six-axis acceleration signal data.

[0176] The evaluation results of the pilot's flight state include the evaluation results of flight proficiency, flight tension, flight fatigue, flight stability, flight training intensity, and flight training difficulty.

[0177] To conduct a systematic evaluation of the completion of flight tasks subsequently, first, the collected PPG signal data and linear acceleration a z are analyzed and calculated to obtain the real-time heart rate and aircraft load value.

[0178] Based on the monitored blood volume pulse wave PPG signal, the signal processing chip measures the interval between P peaks of the PPG signal to obtain the time interval between P peaks (P-P interval, unit: z), and calculates the real-time heart rate HR of the pilot based on the PPI, as shown in formula (2):

[0179]

[0180] Based on the linear acceleration a z , the aircraft load value G is calculated in real-time, as shown in formula (3):

[0181]

[0182] where g is the acceleration due to gravity.

[0183] The linear accelerations in three axial directions are measured by a six-axis motion sensor, and the results are a x , a y , a z , and the unit is m / s 2 . Among them, a z is the acceleration along the longitudinal axis of the human body, and this acceleration has the greatest impact on the human body. It is converted into the aircraft load value G through the formula , and the unit is g. For example, whether to take 1g = 9.8m / s 2 , or take 1g = 9.80665m / s 2 is determined according to the accuracy required specifically. The aircraft load value G represents how many times the acceleration due to gravity the pilot is subjected to at this time compared to a normal human standing on the ground. In the present invention, the maximum value of G from the start of flight to the current moment during the flight process is denoted as G max , and the minimum value is denoted as G min .

[0184] Based on the real-time heart rate HR of the pilot, as well as the offset ratio and six-axis acceleration data, the signal processing chip obtains the evaluation results of the pilot's flight state in real-time, including:

[0185] Based on the real-time heart rate HR, obtain the average value, maximum value, and minimum value of the heart rate from the start of the pilot's takeoff to the current moment, and calculate the flight proficiency of the pilot in real time;

[0186] Based on the maximum value and average value of the heart rate at the current moment, calculate the flight tension of the pilot in real time;

[0187] Based on the offset ratio Perform segmented judgment to obtain the flight fatigue degree of the pilot in real time;

[0188] Based on the maximum and minimum values of the heart rate at the current moment, calculate the flight stability of the pilot in real time;

[0189] Based on the monitored linear acceleration a z , calculate the aircraft load value, and then obtain the maximum and minimum load values of the aircraft from the start of the pilot's takeoff to the current moment;

[0190] Based on the maximum load value of the aircraft at the current moment, calculate the flight training intensity of the pilot in real time;

[0191] Based on the maximum and minimum load values of the aircraft at the current moment, calculate the flight training difficulty of the pilot in real time.

[0192] The flight evaluation results of the pilot, including flight proficiency, flight tension, flight fatigue, flight stability, flight training intensity, and flight training difficulty, are calculated as follows:

[0193] (1) The flight proficiency (S fami ), which reflects the familiarity of the pilot with flight operations during the flight process. The average heart rate index is used to reflect the energy consumption of the pilot during the flight process. The larger the flight proficiency value, the more proficient the pilot is in mastering the flight training subjects and the more stable the mentality.

[0194] The flight proficiency of the pilot is calculated as shown in formula (4):

[0195]

[0196] Among them, S fami is the flight proficiency of the pilot; HR max and HR min are the average heart rate and the maximum and minimum heart rate values at the current moment during the pilot's flight process respectively;

[0197] (2) Flight tension (S tens) It reflects the tension level of the pilot during the entire flight. By using the maximum heart rate index to reflect the psychological changes of the pilot during the flight, the larger the value, the more relaxed the pilot is during the flight, and the smaller the value, the more tense the pilot is.

[0198] The flight tension level of the pilot is calculated as shown in formula (5):

[0199]

[0200] Where S tens is the flight tension level of the pilot;

[0201] (3) Flight fatigue level (S fati ) It reflects the fatigue level of the pilot during the entire flight. By using the change in the size of the index to reflect the brain nerve activity level during the entire flight, and indirectly reflects the fatigue level during the flight. The larger this value, the lower the rScO2 of the pilot, and the more fatigued the pilot is. The higher the value, the more relaxed the pilot is after completing the task.

[0202] The flight fatigue level of the pilot is calculated as shown in formula (6):

[0203]

[0204] Where S fati is the flight fatigue level of the pilot.

[0205] (4) Flight stability level (S stab ) It reflects the stability level of the pilot during the entire flight. By using the heart rate difference during the flight to calculate the heart rate change during the flight, so as to reflect the flight stability level. The larger the value, the more stable the flight is.

[0206] The flight stability level of the pilot is calculated as shown in formula (7):

[0207]

[0208] Where S stab is the flight stability level of the pilot;

[0209] (5) Flight training intensity (S stre ) It reflects the intensity level during the entire flight. By using the maximum overload to calculate the training intensity during the flight. The larger this value, the greater the intensity of the flight training.

[0210] The flight training intensity of the pilot is calculated as shown in formula (8):

[0211]

[0212] Among them, S stre is the flight training intensity of the pilot, and G max is the maximum load value of the aircraft at the current moment;

[0213] (6) Flight training difficulty (S diff ), which reflects the difficulty level during the entire flight process. The training difficulty during the flight process is calculated by means of the overload difference during flight. The larger this value is, the greater the training difficulty.

[0214] The flight training difficulty of the pilot is calculated as shown in formula (9):

[0215]

[0216] Among them, S diff is the flight training difficulty of the pilot, and G min is the minimum load value of the aircraft at the current moment.

[0217] Step S33: Use a radar chart to output and display the six-dimensional flight task evaluation result of the pilot.

[0218] The visualization module in the flight control center module displays the flight task evaluation result in real time. The pilot can see the personal evaluation result in real time and adjust the next action based on the evaluation result;

[0219] At the same time, the ground commander can see the six-dimensional flight task evaluation result of the pilot in real time through the tower control module. Based on the flight state evaluation result of the pilot, the flight task can be further adjusted specifically.

[0220] As Figure 6 shown, the visualization module uses a radar chart to output and display the flight state evaluation result of the pilot in real time; among them, the radar chart includes six axes, each axis represents a dimension, and the data point on the axis is the performance level of the pilot in this dimension;

[0221] Each axis of the radar chart is preset with a corresponding threshold value, which is used as the benchmark threshold value for the six dimensions during the flight of each pilot for evaluation. The visualization module visually displays the flight state evaluation result.

[0222] Before using the radar chart, the upper and lower limits of each dimension are preset in advance. The maximum value on the axis corresponding to this dimension in the radar chart is the upper limit, and the minimum value is the lower limit. If the value of this dimension is lower than the lower limit or higher than the upper limit, the output remains at the lower limit or the upper limit. When the value of this dimension changes between the upper and lower limits, the output of this dimension moves on the dimension axis corresponding to it in the radar chart.

[0223] Exemplarily,

[0224] The default upper and lower limits of flight proficiency are 1 and 0;

[0225] The default upper and lower limits of flight nervousness are 1 and 0.5;

[0226] The default upper and lower limits of flight fatigue are 20 and 0;

[0227] The default upper and lower limits of flight stability are 4 and 0;

[0228] The default upper and lower limits of flight training intensity are 1 and 0.1;

[0229] The default upper and lower limits of flight training difficulty are 2 and 0.

[0230] The upper and lower limit values are the default values of the system and are preset values;

[0231] Fine-tuning is carried out according to the actual needs of flight training and the physical condition of the pilot (the upper limit does not exceed 2 times the default upper limit, and the lower limit is not less than 0).

[0232] The evaluation results of the pilot's flight state comprehensively understand the pilot's flight performance and task completion situation in real time from six dimensions. Among them, flight proficiency, flight nervousness, flight fatigue, and flight stability are used to evaluate the pilot's performance during flight and the degree of flight technology mastery. If the value in a certain dimension is low, targeted training can be carried out subsequently; flight training intensity and flight training difficulty are used to evaluate whether the design of the flight task is reasonable and whether the pilot has properly implemented the flight task according to the plan. If the value is low, it means that the difficulty and intensity of the flight training task should be adjusted.

[0233] Regarding the output and display of the pilot's six-dimensional flight task evaluation results using a six-dimensional radar chart, it is output and displayed in real time. At the end of the flight, the displayed radar chart is the six-dimensional pilot flight state evaluation result during the entire flight training process.

[0234] The above six dimensions are the six aspects of the pilot's flight state that the commander is most concerned about. Therefore, this radar chart allows the commander to understand which aspects of the pilot have shortcomings and which aspects perform better through just this one chart, which is beneficial for the commander to take more effective training tasks for the pilot subsequently.

[0235] In summary, an aircraft pilot physiological state monitoring and control system based on brain-computer interaction according to an embodiment of the present invention has the following beneficial effects:

[0236] 1. The head-mounted physiological monitoring module monitors the pilot's physiological status in real time, including blood volume pulse wave signals, regional cerebral oxygen saturation, and six-axis acceleration data. This invention can issue risk warnings and Coriolis illusion risk warnings in a timely manner. Based on the risk warning data, the flight control center module performs flight assistance operations in real time, such as automatically leveling the aircraft, reducing speed, and actively supplying oxygen to the pilot under coercion, thereby preventing flight accidents caused by pilot fatigue or illusions and significantly improving flight safety. Since there is a certain time delay for the ground tower controller to receive the risk warning data, direct brain-computer interaction is carried out to avoid the risk of flight accidents that may occur when the ground tower controller takes measures after receiving the risk warning data.

[0237] 2. This invention uses a non-invasive head-mounted physiological monitoring module, avoiding the risks of skin damage or infection that may be brought by traditional invasive brain-computer interfaces. At the same time, the monitoring data is transmitted to the flight control center module in real time through a Bluetooth transmission chip, enhancing the real-time performance and accuracy of flight operations.

[0238] 3. In this invention, the flight control center module can not only perform flight assistance operations based on physiological monitoring data, but also display the pilot's physiological status and flight status evaluation results in real time through a visualization module, as well as conduct voice warnings through a warning voice broadcast module. This helps the pilot better understand their own status, optimize flight operations, and improve the efficiency and effectiveness of flight training. In addition, this invention can also evaluate the pilot's flight proficiency, tension, fatigue, etc., providing a scientific basis for pilot training and optimizing the pilot's flight experience and flight training effect.

[0239] The above is only a preferred specific embodiment of the present invention, but the protection scope of the present invention is not limited thereto. Any changes or substitutions that can be easily thought of by those skilled in the art within the technical scope disclosed by the present invention should be covered by the protection scope of the present invention.

Claims

1. A pilot physiological state monitoring and control system based on brain-computer interaction, characterized in that, It includes a headband - type physiological monitoring module and a flight control center module; The head-mounted physiological monitoring module is used to monitor the physiological state of the pilot in real time, including blood volume pulse wave signals, regional cerebral oxygen saturation and six-axis acceleration data, and perform risk early warning and flight state assessment based on the real-time monitoring data; The flight control center module is used to receive the risk warning data of the pilot for flight control, store the physiological state data and physiological monitoring logs, provide the visualization of real - time risk warnings and flight status evaluation results, and early warning voice broadcasts to ensure flight safety; The headband - type physiological monitoring module includes a blood oxygen emission module, a blood oxygen reception module, a six - axis acceleration module, a signal processing chip, and a Bluetooth transmission chip; The blood oxygen emission module is used to emit near - infrared light; The blood oxygen receiving module includes a first and a second blood oxygen receiving module, which are respectively used to receive the near-infrared light reflected by the human cerebral cortex tissue. The receiver of the first blood oxygen receiving module closer to the blood oxygen transmitting module obtains the blood volume pulse wave through the change in the intensity of the received near-infrared light signal; the receiver of the second blood oxygen receiving module farther from the blood oxygen transmitting module calculates the ratio of oxyhemoglobin to total hemoglobin from the different wavelengths of light it receives to obtain the regional cerebral oxygen saturation ; The six-axis acceleration module is used to obtain the rotational accelerations of the pilot on the three rotational axes of X, Y, and Z , , and the linear accelerations on the three axial directions , , ; The signal processing chip is used to perform, in real time, risk warning, Coriolis illusion risk warning and flight state assessment on the pilot based on the pilot's photoplethysmogram signal, regional cerebral oxygen saturation signal, and six-axis acceleration data; ​ The Bluetooth transmission chip is used to transmit the risk warning, Coriolis illusion risk warning, and flight status assessment results of the pilot to the flight control center module, and transmit them to the airport tower control module through the connected data link; The signal processing chip is based on the pilot's blood volume pulse wave signal, regional cerebral oxygen saturation and six-axis acceleration data, and performs real-time risk warning, Coriolis illusion risk warning and flight state assessment on the pilot, including: Pre-determine the regional cerebral oxygen saturation of the pilot to be evaluated Reference value; During flight, monitor the blood volume pulse wave of the pilot signal, regional cerebral oxygen saturation and six-axis acceleration signal data; Based on the local cerebral oxygen saturation reference value and local cerebral oxygen saturation perform real-time calculation of the offset ratio ; Based on the offset ratio and the six-axis acceleration signal data, respectively perform real-time risk warnings and Coriolis illusion risk warnings on the pilot; the flight control module is based on the risk warnings to perform flight assistance operations; Based on the blood volume pulse wave The real-time heart rate of the pilot obtained from the signal , as well as the offset ratio And six-axis acceleration signal data, the flight status evaluation result of the pilot is obtained in real time; When any two or three of the rotational accelerations , , are simultaneously greater than a preset threshold, the signal processing chip determines that the pilot has a risk of Coriolis illusion, and at the same time, the flight control module levels the aircraft automatically; The signal processing chip obtains the real-time flight state evaluation result of the pilot based on the real-time heart rate of the pilot , and the offset ratio and six-axis acceleration data, including: Based on the real-time heart rate , obtain the average, maximum, and minimum heart rates of the pilot from the start of takeoff to the current moment, and calculate the flight proficiency of the pilot in real time; Based on the maximum and average heart rates at the current moment, the flight tension of the pilot is calculated in real - time; Based on the offset ratio perform segmented judgment to obtain the pilot's flight fatigue degree in real time; Based on the maximum and minimum heart rates at the current moment, the flight stability of the pilot is calculated in real - time; Based on the monitored linear acceleration , calculate the aircraft load value, and then obtain the maximum and minimum load values of the aircraft from the start of takeoff to the current moment for the pilot; Based on the maximum load value of the aircraft at the current moment, the flight training intensity of the pilot is calculated in real - time; Based on the maximum and minimum load values of the aircraft at the current moment, the flight training difficulty of the pilot is calculated in real - time.

2. The system according to claim 1, wherein The flight control center module includes a flight control module, a data storage module, a visualization module, and an early warning voice broadcast module; The flight control module is used to perform flight assistance operations based on the risk warning and Coriolis illusion risk warning of the pilot; The data storage module is used to store real - time physiological state data, physiological monitoring logs, and early warning logs; The visualization module is used to display the blood volume pulse wave of the pilot in real time signal, regional cerebral oxygen saturation and six-axis acceleration data, as well as the corresponding early warning and flight status assessment results; The warning voice broadcast module is used for local cerebral oxygen saturation of pilots Risk warning and voice broadcast of Coriolis illusion risk warning.

3. The system according to claim 1, wherein The headband - type physiological monitoring module further includes a battery, a quick - release buckle, and a main board; The battery is used to supply power to each module in the headband - type physiological monitoring module; The quick - release buckle is located on both sides of the headband - type physiological monitoring module and is used to quickly connect the elastic headband; The main board is used to integrate each module in the headband - type physiological monitoring module.

4. The system according to claim 1, wherein The flight control module performs flight assistance operations based on the risk warning and Coriolis illusion risk warning of the pilot, including: When the output result is "good oxygen supply"; When the output result is "mild hypoxia"; When the output result is "moderate hypoxia, close attention is required", and the flight control module forcibly supplies oxygen to the pilot; When the output result is "severely oxygen-deficient, take action", the flight control module levels the aircraft automatically and supplies oxygen to the pilot compulsorily; wherein, is a preset value.

5. The system according to claim 2, wherein The visualization module uses a radar chart to output and display the flight status evaluation results of the pilot in real - time; among them, the radar chart includes six axes, each axis represents a dimension, and the data points on the axis are the performance levels of the pilot in that dimension; Each axis of the radar chart is preset with a corresponding threshold value as the benchmark threshold for the six dimensions during the flight of each pilot for evaluation, and the visualization module visually displays the flight status evaluation results.

6. The system according to claim 1, wherein The flight proficiency of the pilot is calculated as follows: ； Among them, is the flight proficiency of the pilot; , and are respectively the average heart rate during the pilot's flight, the maximum and minimum heart rates at the current moment; The flight tension of the pilot is calculated as follows: ； Among them, is the flight stress of the pilot; The flight fatigue of the pilot is calculated as follows: ； Among them, is the flight fatigue degree of the pilot; The flight stability of the pilot is calculated as follows: ； Among them, is the flight stability of the pilot; The flight training intensity of the pilot is calculated as follows: ； Among them, is the flight training intensity of the pilot, is the maximum load value of the aircraft at the current moment; The flight training difficulty of the pilot is calculated as follows: ； Among them, is the flight training difficulty of the pilot, is the minimum payload value of the aircraft at the current moment.

7. The system according to claim 1, wherein The signal processing chip pre-determines the local cerebral oxygen saturation of the pilot to be evaluated benchmark values, including: Before the flight starts, measure the regional cerebral oxygen saturation of the pilot to be evaluated for minutes, and obtain the continuous change data within minutes, and take the average value to obtain the regional cerebral oxygen saturation baseline value ; where is a preset value; The signal processing chip measures, based on the monitored blood volume pulse wave signal, the interval between P peaks of the signal to obtain the time interval between P peaks, and calculates the real-time heart rate of the pilot based on the time interval between P peaks, as follows: signal, measures the interval between P peaks of the signal to obtain the time interval between P peaks , based on the calculates the real-time heart rate of the pilot , as follows: ； Based on the linear acceleration calculate the aircraft load value in real time as follows: ； Among them, is the acceleration due to gravity.

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